System and Method for Temperature Sensing
20170328790 · 2017-11-16
Inventors
- Elmar Bach (Villach, AT)
- Patrizia GRECO (Villach, AT)
- Andreas Wiesbauer (Portschach, AT)
- Kwan Siong Kenneth Choong (Singapore, SG)
- Michael Staber (Villach, AT)
Cpc classification
G01K15/002
PHYSICS
International classification
Abstract
A method includes post processing a plurality of temperature sensors grouped into a plurality of sets. For each set of the plurality of sets, a post-processing system coupled to corresponding temperature sensors receives a plurality output signals generated by the corresponding temperature sensors. For each set of the plurality of sets, the post-processing system computes values representing proportional to absolute temperature (PTAT) voltages and values representing internal reference voltages based on output signals generated by the corresponding temperature sensors. For each set of the plurality of sets, the post-processing system computes an average of the values representing the PTAT voltages and relative PTAT voltage variation coefficients. For each set of the plurality of sets, the post-processing system computes values representing corrected PTAT voltages using the relative PTAT voltage variation coefficients.
Claims
1. A method comprising: post processing a plurality of temperature sensors grouped into a plurality of sets, for each set of the plurality of sets: receiving, by a post-processing system coupled to corresponding temperature sensors, a plurality output signals generated by the corresponding temperature sensors; computing, by the post-processing system, values representing proportional to absolute temperature (PTAT) voltages and values representing internal reference voltages based on output signals generated by the corresponding temperature sensors; computing, by the post-processing system, an average of the values representing the PTAT voltages and relative PTAT voltage variation coefficients; and computing, by the post-processing system, values representing corrected PTAT voltages using the relative PTAT voltage variation coefficients.
2. The method of claim 1, further comprising, for each set of the plurality of sets, computing, by the post-processing system, corner correction coefficients and curvature correction coefficients for the corresponding temperature sensors.
3. The method of claim 2, wherein computing the corner correction coefficients comprises: computing, by the post-processing system, values representing the internal reference voltages at a reference temperature; and computing, by the post-processing system, differences between the values representing the internal reference voltages at the reference temperature and a value representing a target internal reference voltage.
4. The method of claim 2, wherein computing the curvature correction coefficients comprises computing, by the post-processing system, values representing shifted bandgap reference voltages based on the values representing the internal reference voltages and the values representing the PTAT voltages, the values representing the shifted bandgap reference voltages having approximately linear temperature dependences within a target temperature range of the plurality of temperature sensors.
5. The method of claim 2, further comprising, for each set of the plurality of sets, calibrating analog-to-digital converters (ADCs) of the corresponding temperature sensors to obtain gain coefficients.
6. The method of claim 5, further comprising, for each set of the plurality of sets, computing, by the post-processing system, corrected gain coefficients using the relative PTAT voltage variation coefficients.
7. The method of claim 6, further comprising, for each set of the plurality of sets, storing the corrected gain coefficients in non-volatile memories of the corresponding temperature sensors.
8. The method of claim 7, further comprising, for each set of the plurality of sets, storing the values representing corresponding corrected PTAT voltages and the value representing corresponding internal reference voltages in non-volatile memories of the corresponding temperature sensors.
9. The method of claim 8, further comprising, for each set of the plurality of sets, storing the corner correction coefficients and the curvature correction coefficients in the non-volatile memories of the corresponding temperature sensors.
10. The method of claim 8, further comprising storing post-processing parameters in the non-volatile memories of the corresponding temperature sensors.
11. The method of claim 1, further comprising, for each set of the plurality of sets: generating, by the corresponding temperature sensors, first output signals of the plurality of output signals, the first output signals being based on the PTAT voltages and the internal reference voltages generated by temperature sensing circuits of the corresponding temperature sensors; and generating, by the corresponding temperature sensors, second output signals of the plurality of output signals, the second output signals being based on the PTAT voltages generated by the temperature sensing circuits of the corresponding temperature sensors and calibration reference voltages generated by reference voltage generators of the corresponding temperature sensors.
12. The method of claim 1, further comprising setting a temperature of the plurality of temperature sensors to a calibration temperature using a thermal chuck.
13. The method of claim 12, further comprising, for each set of the plurality of sets, computing, by the post-processing system, an average sensed calibration temperature for the corresponding temperature sensors.
14. The method of claim 13, wherein the calibration temperature is non-uniform across the thermal chuck, and wherein a uniformity error of the thermal chuck is characterized by a characteristic function.
15. The method of claim 14, further comprising narrowing a distribution of average sensed calibration temperatures of the plurality of sets using the characteristic function.
16. The method of claim 15, further comprising centering the distribution of the average sensed calibration temperatures of the plurality of sets.
17. A method comprising: receiving, by a post-processing system coupled to a temperature sensor, an output signal generated by the temperature sensor, the output signal being based on a proportional to absolute temperature (PTAT) voltage and an internal reference voltage generated by a temperature sensing circuit of the temperature sensor; reading, by the post-processing system, device specific calibration coefficients and post-processing parameters stored in a non-volatile memory of the temperature sensor; computing, by the post-processing system, a corner correction coefficient and a curvature correction coefficient based on the device specific calibration coefficients; computing, by the post-processing system, a PTAT ratio based on the output signal; and computing, by the post-processing system, a sensed temperature based on the PTAT ratio, the corner correction coefficient and the curvature correction coefficient.
18. The method of claim 17, wherein computing the sensed temperature comprises: computing, by the post-processing system, an estimated temperature based on the PTAT ratio; and correcting, by the post-processing system, the estimated temperature by adding a linear correction term to the estimated temperature to obtain the sensed temperature, the linear correction term being proportional to a sum of the corner correction coefficient and the curvature correction coefficient.
19. The method of claim 17, wherein computing the sensed temperature comprises: correcting, by the post-processing system, mapping coefficients used for mapping the PTAT ratio to a temperature domain using the corner correction coefficient and the curvature correction coefficient to obtain corrected mapping coefficients; and computing, by the post-processing system, the sensed temperature based on the PTAT ratio and the corrected mapping coefficients.
20. The method of claim 17, further comprising: calibrating the temperature sensor to determine the device specific calibration coefficients; and storing the device specific calibration coefficients in the non-volatile memory.
21. The method of claim 20, further comprising storing the post-processing parameters in the non-volatile memory.
22. The method of claim 20, wherein calibrating the temperature sensor comprises: setting a temperature of a plurality of temperature sensors to a calibration temperature, the temperature sensor being one of the plurality of temperature sensors; computing, by the post-processing system, values representing PTAT voltages and values representing internal reference voltages of the plurality of temperature sensors; and computing, by the post-processing system, an average of the values representing the PTAT voltages of the plurality of temperature sensors and relative PTAT voltage variation coefficients of the plurality of temperature sensors.
23. The method of claim 17, wherein computing the corner correction coefficient comprises: computing, by the post-processing system, a value representing an internal reference voltage of the temperature sensor at a reference temperature, the reference temperature being different from a calibration temperature; and computing, by the post-processing system, a difference between the value representing the internal reference voltage of the temperature sensor at the reference temperature and a value representing a target internal reference voltage.
24. The method of claim 17, wherein computing the curvature correction coefficient comprises computing, by the post-processing system, a value representing a shifted bandgap reference voltage of the temperature sensor based on the value representing the internal reference voltage of the temperature sensor and the value representing the PTAT voltage of the temperature sensor, the value representing the shifted bandgap reference voltage having an approximately linear temperature dependence within a target temperature range of the temperature sensor.
25. A system comprising: a temperature sensor; and a post-processing system coupled to the temperature sensor, wherein the post-processing system is configured to: receive a first signal and a second signal generated by the temperature sensor, the first signal being different from the second signal; determine, using the first signal and the second signal, a corner correction coefficient to correct for a corner error; determine a curvature correction coefficient to correct for a curvature error; and determine a sensed temperature using the corner correction coefficient and the curvature correction coefficient.
26. The system of claim 25, wherein the post-processing system is further configured to determine, using the first signal and the second signal, device specific calibration coefficients.
27. The system of claim 26, wherein the temperature sensor further comprises a non-volatile memory configured to store the device specific calibration coefficients and post-processing parameters.
28. The system of claim 25, wherein the temperature sensor comprises: a temperature sensing circuit; an analog-to-digital converter (ADC) coupled to the temperature sensing circuit; and a reference voltage generator coupled to the ADC.
29. The system of claim 28, wherein the temperature sensing circuit is configured to generate a proportional to absolute temperature (PTAT) voltage and an internal reference voltage.
30. The system of claim 29, wherein the reference voltage generator is configured to generate a calibration reference voltage.
31. The system of claim 30, wherein the ADC is configured to: generate the first signal based on the PTAT voltage and the internal reference voltage; and generate the second signal based on the PTAT voltage and the calibration reference voltage.
32. The system of claim 31, wherein the post-processing system is further configured to: determine a value representing the PTAT voltage based on the second signal; determine a relative PTAT voltage variation coefficient to correct for a spread error; and correct the value representing the PTAT voltage using relative PTAT voltage variation coefficient.
33. The system of claim 28, wherein the temperature sensor further comprises a decimation filter coupled between the ADC and the post-processing system.
34. The system of claim 33, wherein the decimation filter is configured to determine the sensed temperature using the corner correction coefficient and the curvature correction coefficient.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0006] For a more complete understanding of the present disclosure, and the advantages thereof, reference is now made to the following descriptions taken in conjunction with the accompanying drawings, in which:
[0007]
[0008]
[0009]
[0010]
[0011]
[0012]
[0013]
[0014] Corresponding numerals and symbols in different figures generally refer to corresponding parts unless otherwise indicated. The figures are drawn to clearly illustrate the relevant aspects of the preferred embodiments and are not necessarily drawn to scale. To more clearly illustrate certain embodiments, a letter indicating variations of the same structure, material, or process step may follow a figure number.
DETAILED DESCRIPTION OF ILLUSTRATIVE EMBODIMENTS
[0015] The making and using of various embodiments are discussed in detail below. It should be appreciated, however, that the various embodiments described herein are applicable in a wide variety of specific contexts. The specific embodiments discussed are merely illustrative of specific ways to make and use various embodiments, and should not be construed in a limited scope.
[0016] Description is made with respect to various embodiments in a specific context, namely a temperature sensing system, and more particularly, a temperature sensing system including a solid state circuitry as a temperature sensing element. Various embodiments described herein include a temperature sensing system including a post-processing system configured to process output signals from a temperature sensing circuit, where the post-processing system may be hardware, software, or a combination thereof. Furthermore, various embodiments described herein further include calibration and temperature sensing methods for a temperature sensing system. Various embodiments of the present disclosure may also be applied to various systems that utilize temperature sensing circuits and other sensing circuits.
[0017] In an embodiment, a temperature sensing system utilizes a post-processing system configured to correct for errors due to statistical spread of characteristics of temperature sensing circuits, process corner variations of temperature sensing circuits, and a curvature of a bandgap voltage V.sub.bg, which may be also referred to as spread, corner and curvature errors, respectively, throughout the following description. In an embodiment, the corner and curvature errors are corrected by adding a linear correction term to an estimated temperature. In an embodiment, the spread error is corrected by averaging responses of multiple temperature sensing circuits.
[0018] Conventional temperature sensors may sense a temperature by measuring a PTAT voltage V.sub.ptat, which is proportional to a voltage difference ΔV.sub.be between voltages across two diodes or two base-emitter junctions of bipolar transistors having different current densities, or a voltage difference ΔV.sub.be between voltages across a single diode or a single base-emitter junction of a bipolar transistor at different current densities. This PTAT voltage V.sub.ptat may be compared to a reference voltage such as a bandgap voltage V.sub.bg. Due to the nonlinear temperature dependency of the diode junction and/or base-emitter voltage V.sub.be of the bipolar transistor, the bandgap voltage V.sub.bg has a non-linear dependence (curvature) over temperature.
[0019] One way to compensate for the spread errors of temperature sensors is to average PTAT voltages V.sub.ptat of a plurality of temperature sensors that are formed on a wafer adjacent to each other before dicing the wafer into individual temperature sensors. Based on an average PTAT voltage, correction coefficients are obtained and the PTAT voltages V.sub.ptat of the plurality of temperature sensors are corrected. In an embodiment, a statistical spread of the corrected PTAT voltages is reduced compared to uncorrected PTAT voltages.
[0020] One way to compensate for the corner errors of the temperature sensors is to compare the voltage across the diode junction or base-emitter voltage V.sub.be(T.sub.ref) at a reference temperature T.sub.ref to a target voltage V.sub.be.sub._.sub.target. Based on a difference between V.sub.be(T.sub.ref) and V.sub.be.sub._.sub.target, a corner correction coefficient K.sub.ptat.sub._.sub.corner is obtained.
[0021] One way to compensate for the curvature errors is to shift a center of the bandgap voltage V.sub.bg outside a target temperature range of the temperature sensors, such that the bandgap voltage V.sub.bg approximately depends on the temperature in a linear manner within the target temperature range. The linear variation of the bandgap voltage V.sub.bg is corrected by obtaining a curvature correction coefficient K.sub.ptat.sub._.sub.curvature. In an embodiment, the corner correction coefficient K.sub.ptat.sub._.sub.corner and the curvature correction coefficient K.sub.ptat.sub._.sub.curvature are combined into a combined correction coefficient K.sub.ptat. In an embodiment, the corner and curvature errors introduce linear errors in an estimated temperature. In such embodiment, the combined correction coefficient K.sub.ptat is a sum of the corner correction coefficient K.sub.ptat.sub._.sub.corner and the curvature correction coefficient K.sub.ptat.sub._.sub.curvature.
[0022]
[0023] In an embodiment, the temperature sensing circuit 105 generates an internal reference voltage V.sub.ref.sub._.sub.int and a PTAT voltage V.sub.ptat. The PTAT voltage V.sub.ptat is proportional to an absolute temperature of the temperature sensing circuit 105 and is used as an input by the ADC 107. The internal reference voltage V.sub.ref.sub._.sub.int is provided to the ADC 107 through an analog multiplexer (AMUX) 111 as a reference voltage V.sub.ref. The temperature sensor 101 further includes a reference voltage generator 113, which provides a calibration reference voltage V.sub.ref.sub._.sub.calib to the ADC 107 through the AMUX 111 as the reference voltage V.sub.ref. The reference voltage generator 113 is coupled to a test bus 115 for measuring the calibration reference voltage V.sub.ref.sub._.sub.calib while calibrating the temperature sensor 101. In some embodiments, the temperature sensor further includes a switch121, which is configured to couple or decouple the reference voltage generator 113 from the test bus 115. During a calibration mode, the switch 121 is turned on and the calibration reference voltage V.sub.ref.sub._.sub.calib is measured using the test bus 115. During a sensing mode, the switch 121 is turned off and the test bus 115 is decoupled from the rest of the temperature sensor 101.
[0024] By including the reference voltage generator 113 in the temperature sensor 101, an accuracy of the calibration reference voltage V.sub.ref.sub._.sub.calib may be improved compared an external reference voltage source. Improving the accuracy of the calibration reference voltage V.sub.ref.sub._.sub.calib allows for improving an accuracy of the temperature sensor 101. In some embodiments, improved accuracy may be obtained by enabling a high precision measurement of the calibration reference voltage V.sub.ref.sub._.sub.calib rather than forcing an external calibration reference voltage to the temperature sensor 101 during calibration. By including the reference voltage generator 113 in the temperature sensor 101, non-idealities such as, for example, cross-talk, noise, series impedances and the like, affecting settling and voltage offsets between internal and external supply domains of the temperature sensor 101, and thus, affecting the accuracy of the calibration reference voltage V.sub.ref.sub._.sub.calib during calibration may be reduced or avoided. In an embodiment, a DC measurement of the calibration reference voltage V.sub.ref.sub._.sub.calib may be performed while the reference voltage generator 113 is disconnected from the reference voltage input terminal of the ADC 107, allowing the absolute voltage precision of better than about 100 μV. Under the assumption that the ambient temperature does not change significantly during calibration, a large absolute voltage range as well as temperature variations of the internal calibration reference voltage V.sub.ref.sub._.sub.calib can be tolerated, as long as the absolute value of the calibration reference voltage V.sub.ref.sub._.sub.calib is large enough to avoid an ADC overload while calibrating the temperature sensor 101. In some embodiments, the calibration reference voltage V.sub.ref.sub._.sub.calib may vary between about 650 mV and about 750 mV. In some embodiments, the calibration reference voltage V.sub.ref.sub._.sub.calib may show a temperature dependency of about ±5% of a median temperature of the target temperature range of the temperature sensor 101.
[0025] In an embodiment, the ADC 107 uses the PTAT voltage V.sub.ptat and the reference voltage V.sub.ref to generate a bitstream having a pulse density X that is related to the input voltage V.sub.ptat of the ADC 107. The bitstream represents an input analog signal as a stream of 1-bit data pulses, where the density of 1's represents the input analog value. The pulse density X may be expressed as a ratio of the ADC input voltage V.sub.ptat and the ADC reference voltage V.sub.ref. In the illustrated embodiment, the pulse density X can be expressed by the equation:
where K.sub.ADC is a gain coefficient of the ADC 107.
[0026] The decimation filter 109 is used to decrease the output data rate of the temperature sensor 101 and to output the pulse density X as a pulse density modulation percent (PDM %) encoded in an M-bit 2's complement representation. In some embodiments, the PDM % of the pulse density X may be between about 30% and about 80%. In some embodiments, M may be between 16 and 24. As described below in greater detail, the pulse density X is further processed by the post-processing system 103 to calibrate the temperature sensor 101 and to compute a sensed temperature T.sub.sensed.
[0027] In some embodiments, the temperature sensor 101 may include a non-volatile memory (NVM) 117 coupled to the post-processing system 103. As described below in greater detail, the NVM 117 may be used to store various calibration coefficients and post-processing parameters that are used by the post-processing system 103 to compute the sensed temperature T.sub.sensed.
[0028] In some embodiments, the temperature sensor 101 is coupled to the post-processing system 103 through an interface 119. In an embodiment, the interface 119 may include a suitable digital interface, such as an inter-integrated circuit (I.sup.2C) interface, a serial peripheral interface (SPI), a 1-wire digital interface, a supply voltage modulation interface, or the like. Using the interface 119, the post-processing system 103 may steer the temperature sensor 101 into various operating conditions required during calibration and normal operations of the temperature sensor 101. The post-processing system 103 may further use the interface 119 to access calibration data and post-processing parameters stored in the NVM 117, and to receive output data from the temperature sensor 101.
[0029] Referring further to
[0030]
[0031] The processing system 200 may also include a network interface 217, which may be implemented using a network adapter configured to be coupled to a wired link, such as an Ethernet cable, USB interface, or the like, and/or a wireless/cellular link for communications with a network 219. The network interface 217 may also comprise a suitable receiver and transmitter for wireless communications. It should be noted that the processing system 200 may include other components. For example, the processing system 200 may include power supplies, cables, a motherboard, removable storage media, cases, and the like. These other components, although not shown, are considered part of the processing system 200.
[0032]
where q is the electron charge, k.sub.B is the Boltzmann constant, m factor is a ratio of biasing currents, n is a coefficient that depends on process corner variations, T is an absolute temperature measured in Kelvins (K), and the coefficient A.sub.0 is expressed by the equation:
[0033]
[0034] The temperature sensing circuit 400 also includes switching circuits 409 and 411 that are coupled to the diodes 401 and 403. The switching circuits 409 and 411 include multiple switches that are controlled by a clock with a frequency of F.sub.SW. In some embodiments, the sampling frequency F.sub.SW may be synchronized with the clock of the ADC (such as the ADC 107 illustrated in
[0035] In some embodiments, temperature sensors (such as the temperature sensor 101 illustrated in
[0036]
where a subscript “calib” denotes that the PTAT voltage ΔV.sub.be.sub._.sub.calib and the internal reference voltage V.sub.be1.sub._.sub.calib are generated at calibration. The pulse density X.sub.1 is provided to a post-processing system (such as the post-processing systems 503 illustrated in
[0037] In step 609, the ADC of each temperature sensor in the set of the temperature sensors receives the PTAT voltage V.sub.ptat from a corresponding temperature sensing circuit and a calibration reference voltage V.sub.ref.sub._.sub.calib from a corresponding reference voltage source (such as the reference voltage generator 113 illustrated in
The pulse density X.sub.2 is provided to the post-processing system for further processing.
[0038] In step 613, each ADC is calibrated to obtain a corresponding gain coefficient K.sub.ADC. In some embodiments, input and reference voltages of each ADC may be matched, such that an output of each ADC is equal to a corresponding K.sub.ADC. In other embodiments, alternative calibration methods may be also used to calibrate the ADCs of the temperature sensors. Such a calibration method has been described in U.S. application Ser. No. 15/098,988, filed on Apr. 14, 2016, which application is hereby incorporated herein by reference in its entirety. In step 615, for each temperature sensor, the post-processing system computes the PTAT voltage ΔV.sub.be.sub._.sub.calib and the internal reference voltage V.sub.be1.sub._.sub.calib using the pulse densities X.sub.1 and X.sub.2 (see Eqs. 4 and 5). In some embodiments, the PTAT voltage ΔV.sub.be.sub._.sub.calib may be determined using Eq. 5, and the internal reference voltage V.sub.be1.sub._.sub.calib may be determined by the equation:
[0039] In step 617, the post-processing system computes an average PTAT voltage ΔV.sub.be.sub._.sub.avg for the set of temperature sensors. By averaging the PTAT voltages of the temperature sensors, the spread error of the PTAT voltages may be reduced. Furthermore, for each temperature sensor, the post-processing system computes a relative voltage variation coefficient K.sub.ΔV.sub.
[0040] In step 619, for each temperature sensor, the post-processing system computes a corrected PTAT voltage ΔV.sub.be.sub._.sub.corr.sub._.sub.calib and a corrected gain coefficient K.sub.ADC.sub._.sub.corr. The corrected PTAT voltage ΔV .sub.be.sub._.sub.corr.sub._.sub.calib may be expressed by the equation:
By setting the corrected PTAT voltage ΔV.sub.be.sub._.sub.corr.sub._.sub.calib for each temperature sensor to the average PTAT voltage ΔV.sub.be.sub._.sub.avg, it is ensured that all temperature sensors in the set sense the same calibration temperature T.sub.calib. The corrected gain coefficient K.sub.ADC.sub._.sub.corr may be expressed by the equation:
K.sub.ADC.sub._.sub.corr−K.sub.ADC.Math.K.sub.ΔV.sub.
[0041] In step 621, for each temperature sensor, the device specific calibration coefficients such as the corrected PTAT voltage ΔV.sub.be.sub._.sub.corr.sub._.sub.calib, the corrected gain coefficient K.sub.ADC.sub._.sub.corr, and the internal reference voltage V.sub.be1.sub.
V.sub.bg.sub._.sub.corr.sub._.sub.calib=V.sub.be1.sub._.sub.calib+α.Math.ΔV.sub.be.sub._.sub.corr.sub._.sub.calib, (10)
In some embodiments, the coefficient a may be chosen such that the bandgap voltage V.sub.bg is approximately temperature independent within the target temperature range of the temperature sensors. In some embodiments, the coefficient α may be chosen to be between about 9 and about 12. In some embodiments, in step 621, the coefficient α may be also stored in the NVM of the corresponding temperature sensor or the mass storage device of the post-processing system as one of the post-processing parameters.
[0042] In step 623, the post-processing system computes an average calibration temperature T.sub.calib.sub._.sub.avg for the set of temperature sensors. In some embodiments, the average calibration temperature T.sub.calib.sub._.sub.avg is computed using Eqs. 2 and 8. Subsequently, the post-processing system repeats steps 603 through 623 for the each remaining set of temperature sensors on the wafer and, for each set of temperature sensors, calculates a corresponding average calibration temperature T.sub.calib.sub._.sub.avg. In some embodiments, due to process corner and statistical variations, the average calibration temperatures have a spread characterized by a distribution, such that some of the average calibration temperatures may be outside a desired error margin. By averaging the PTAT voltages as described above with respect to step 617, the distribution of the average calibration temperatures is narrowed compared to a distribution of the calibration temperatures before averaging. In some embodiments, outlier temperature sensors, the average calibration temperatures of which are outside the desired error margin, may be discarded or may be used in applications that do not require high precision sensing capabilities.
[0043] In some embodiments, the thermal chuck may adversely affect the distribution of the average calibration temperatures by widening the distribution and increasing a number of outlier temperature sensors. In some embodiment, an average temperature of the thermal chuck may drift from wafer to wafer, and may have an absolute temperature error between about −3° C. and about 3° C. In addition to the average temperature drift, the thermal chuck may suffer a uniformity error. Due to positioning of cooling/heating elements below the thermal chuck, the temperature across a wafer that is placed on the thermal chuck is non-uniform. In some embodiments, the uniformity error may be characterized by a characteristic function f(x,y), which is equal to T(x,y)−T.sub.avg, where x and y are coordinates across the wafer, T(x,y) is a temperature of the wafer at a location having the coordinates x and y, and T.sub.avg is an average temperature of the entire wafer or a part of the wafer that is known to have a temperature closest to the target temperature. In some embodiments, the part of the wafer may be a central region of the wafer. In other embodiments, the part of the wafer may be other regions of the wafer depending on properties of the thermal chuck used during calibration.
[0044] In some embodiments, the characteristic function f(x,y) may be determined by measuring a temperature of the wafer T(x,y) before preforming calibration of temperature sensors. In some embodiments, the measured characteristic function f(x,y) may be fitted to a polynomial function and may be stored in the mass storage device of the post-processing system as one of the post-processing parameters.
[0045] In step 625, the post-processing system uses the average temperature T.sub.avg to correct for the average temperature drift of the thermal chuck and uses the characteristic function f(x,y) to correct for the uniformity error of the thermal chuck. To correct for the average temperature drift of the thermal chuck, the post-processing system centers the distribution of the calibration temperatures by shifting the average temperature of the distribution to zero. In some embodiments, the centered calibration temperature T.sub.calib.sub._.sub.centered(x,y) of a temperature sensor at a location having the coordinates x and y is computed by the following equation:
T.sub.calib.sub._.sub.centered(x, y)=T.sub.calib(x, y)−T.sub.avg. (11)
To correct for the uniformity error of the thermal chuck, the post-processing system uses the characteristic function f(x,y) to compute a corrected centered calibration temperature T.sub.calib.sub._.sub.centered.sub._.sub.corr for each temperature sensor. In some embodiments, the corrected centered calibration temperature T.sub.calib.sub._.sub.centered.sub._.sub.corr(x,y) of a temperature sensor at a location having the coordinates x and y is computed by the following equation:
T.sub.calib.sub._.sub.centered.sub._.sub.corr(x,y)=T.sub.calib.sub._.sub.centered(x,y)−f(x,y). (12)
In some embodiments, by correcting the drift and uniformity errors, the distribution of the calibration temperatures may be further narrowed, such that fewer temperatures readouts may be outside the desired error margin. Accordingly, fewer outlier temperature sensors may be discarded, which increases the yield of high precision temperature sensors.
[0046]
The pulse density X is provided to a post-processing system (such as the post-processing system 103 illustrated in
[0047] In step 707, the post-processing system computes a correction coefficient K.sub.ptat to correct for corner and curvature errors. In an embodiment, the post-processing system computes the internal reference voltage V.sub.be1 at a reference temperature T.sub.ref, which is different from the calibration temperature T.sub.calib. In some embodiments, the reference temperature T.sub.ref may be about 25° C. The internal reference voltage V.sub.be1 at the reference temperature T.sub.ref may be expressed using the equation:
V.sub.be1(T.sub.ref)=V.sub.be1.sub._.sub.calib−(T.sub.calib−T.sub.ref).Math.KV.sub.be1, (14)
where the coefficient KV.sub.be1 is equal to about −2 mV/K, and where the calibration temperature T.sub.calib is computed by the post-processing system based on Eqs. 2 and 5. The post-processing system compares the internal reference voltage V.sub.be1 at the reference temperature T.sub.ref to a target reference voltage V.sub.be.sub._.sub.target to determine a shift due to the corner errors. In some embodiments, the target reference voltage V.sub.be.sub._.sub.target may be determined by simulating the temperature sensors at the reference temperature T.sub.ref. Subsequently, for each temperature sensor, the post-processing system computes a corner correction coefficient K.sub.ptat.sub._.sub.corner to counteract the shift due to the corner errors. The corner correction coefficient K.sub.ptat.sub._.sub.corner may be expressed by the equation:
K.sub.ptat.sub._.sub.corner=K.sub.ptat.sub._.sub.corner.sub._.sub.max.Math.(V.sub.be.sub._.sub.target−V.sub.be1(T.sub.ref)). (15)
where the coefficient K.sub.ptat.sub._.sub.corner.sub._.sub.max is determined simulating the temperature sensor 101 and is adjusted based on empirical data obtained from measurements of the temperature sensor 101.
[0048] In addition, the post-processing system uses a curvature correction coefficient K.sub.ptat.sub._.sub.curvature to minimize the curvature errors. In an embodiment, to correct for the curvature of the bandgap voltage V.sub.bg.sub._.sub.corr, the coefficient a may be chosen such that the bandgap voltage V.sub.bg.sub._.sub.corr depends on the temperature in an approximately linear manner within the target temperature range of the temperature sensors. The curvature correction coefficient K.sub.ptat.sub._.sub.curvature is used to counteract the resulting error, which is approximately a linear error within the target temperature range of the temperature sensor. In the illustrated embodiment, the corner and curvature errors result in approximately linear errors in the sensed temperature T.sub.sensed. Accordingly, the corner correction coefficient K.sub.ptat.sub._.sub.corner and the curvature correction coefficient K.sub.ptat.sub._.sub.curvature may be combined into a combined correction coefficient K.sub.ptat, which may be expressed by the equation:
K.sub.ptat=K.sub.ptat.sub._.sub.corner+K.sub.ptat.sub._.sub.curvature. (16)
[0049] In alternative embodiments, the correction coefficient K.sub.ptat may be determined during a calibration mode of the temperature senor and the correction coefficient K.sub.ptat may be stored in the NVM of the temperature sensor along with the device specific calibration coefficients and the post-processing parameters. In such embodiments, the post-processing system may read the correction coefficient K.sub.ptat stored in the NVM of the temperature sensor in step 705.
[0050] In step 709, the post-processing system computes a PTAT ratio μ, which may be expressed by the equation:
where the bandgap voltage V.sub.bg.sub._.sub.corr is expressed using the equation:
V.sub.bg.sub._.sub.corr=V.sub.be1+α.Math.ΔV.sub.be.sub._.sub.corr=V.sub.be1+α.Math.K.sub.66 V.sub.
and where the coefficient a may be chosen to be between about 9 and about 12.
[0051] In step 711, the post-processing system computes an estimated temperature T.sub.est from the PTAT ratio μ. The estimated temperature T.sub.est may be expressed by the equation:
T.sub.est=A.Math.μ+B, (19)
where the coefficient A is expressed by the equation:
and where the corrected bandgap voltage V.sub.bg.sub._.sub.corr.sub._.sub.calib at the calibration temperature T.sub.calib is expressed by Eq. 10, the coefficient A.sub.0 is expressed by Eq. 3, and the coefficient B is equal to −273.15K. In some embodiments, the coefficient B may be altered from this value to correct for a temperature offset, for example, caused by self-heating of the temperature sensor inside of a packaged device. Since the corrected bandgap voltage V.sub.bg.sub._.sub.corr.sub._.sub.calib at the calibration temperature T.sub.calib does not equal to the corrected bandgap voltage V.sub.bg.sub._.sub.corr at the sensed temperature T.sub.sensed, the estimated temperature T.sub.est does not equal to the sensed temperature T.sub.sensed.
[0052] In step 713, the post-processing system corrects the estimated temperature T.sub.est to obtain the sensed temperature T.sub.sensed. In an embodiment, the post-processing system uses the correction coefficient K.sub.ptat to correct for the corner and curvature errors. The sensed temperature T.sub.sensed may be expressed by the equation:
T.sub.sensed=T.sub.est+(T.sub.est−T.sub.calib).Math.K.sub.ptat. (21)
[0053] In alternative embodiments, instead of steps 711 and 713, step 715 may be performed, where the corner and curvature errors are corrected in combination with mapping from the PTAT ratio μ to the temperature domain. In such embodiments, the post-processing system uses the correction coefficient K.sub.ptat to correct the coefficients A and B and to compute corrected coefficients A′ and B′. Using the corrected coefficients A′ and B′, the sensed temperature T.sub.sensed may be expressed by the equation:
T.sub.sensed=A′.Math.μ+B′. (22)
where the corrected coefficient A′ is expressed by the equation:
A′=A.Math.(1+K.sub.ptat), (23)
and where the corrected coefficient B′ is expressed by the equation:
B′=B.Math.(1+K.sub.ptat)−K.sub.ptat.Math.T.sub.calib. (24)
In some embodiments, the sensed temperature T.sub.sensed may have an absolute error between about −0.4° C. and about +0.4° C. In alternative embodiments, the corrected coefficients A′ and B′ may be determined during the calibration mode of the temperature senor and the corrected coefficients A′ and B′, and a coefficient α′=α/K.sub.ADC.sub._.sub.corr may be stored in the NVM of the temperature sensor instead of the device specific calibration coefficients (such as the corrected gain coefficient K.sub.ADC.sub._.sub.corr, the corrected PTAT voltage ΔV.sub.be.sub._.sub.corr.sub._.sub.calib, the internal reference voltage V.sub.be1.sub._.sub.calib, and the correction coefficient K.sub.ptat) and post-processing parameters (such as the factors n, m and α, the target reference voltage V.sub.be.sub._.sub.target, and the coefficient K.sub.ptat.sub._.sub.corner.sub._.sub.max). In such embodiments, the post-processing system may read the corrected coefficients A′ and B′, and the coefficient α′=α/K.sub.ADC.sub._.sub.corr stored in the NVM of the temperature sensor in step 705.
[0054] In alternative embodiments, some or all post-processing steps described above may be implemented using hardware components of the temperature sensor. For example, in some embodiments in which the ADC of the temperature sensor outputs a pulse density equal to the PTAT ratio μ=ΔV.sub.be/V.sub.bg directly, the corrected coefficient A′ may be combined with gain setting coefficients of a decimation filter (such as the decimation filter 109 illustrated in
[0055] Referring further to
[0056] Referring Further to
T.sub.sensed.sub._.sub.centered.sub._.sub.corr(x,y)=T.sub.sensed(x,y)−T.sub.avg−f(x,y). (25)
[0057] Referring further to
[0058] Various embodiments presented herein allow for correcting spread, corner, curvature, drift and uniformity errors to obtain temperature sensors with improved accuracy. In some embodiments, the corner and curvature errors are corrected by applying an approximately linear correction in the temperature domain, and the drift and the uniformity errors are corrected using an average temperature of a wafer and a characteristic function of a thermal chuck, as a part of a post-processing algorithm performed by a post-processing system coupled to a temperature sensor. Various embodiments further allow for an on-chip calibration reference voltage generation, a dedicated test hook-up for DC measurement of the calibration reference voltage, a spatial averaging of data from a plurality of temperature sensors to minimize statistical spread, an on-chip non-volatile memory to store various calibration coefficients and post-processing parameters for use by the post-processing system, and a communication interface coupled between a temperature sensor and a post-processing system for triggering various steps during calibration and for reading various calibration coefficients and post-processing parameters stored in the on-chip non-volatile memory.
[0059] Embodiments of the present invention are summarized here. Other embodiments can also be understood form the entirety of the specification and the claims filed herein. One general aspect includes a method including: post processing a plurality of temperature sensors grouped into a plurality of sets, for each set of the plurality of sets: receiving, by a post-processing system coupled to corresponding temperature sensors, a plurality output signals generated by the corresponding temperature sensors; computing, by the post-processing system, values representing proportional to absolute temperature (PTAT) voltages and values representing internal reference voltages based on output signals generated by the corresponding temperature sensors; computing, by the post-processing system, an average of the values representing the PTAT voltages and relative PTAT voltage variation coefficients; and computing, by the post-processing system, values representing corrected PTAT voltages using the relative PTAT voltage variation coefficients.
[0060] Implementations may include one or more of the following features. The method where each set of the plurality of sets includes a same number of temperature sensors. The method further including, for each set of the plurality of sets, computing, by the post-processing system, corner correction coefficients and curvature correction coefficients for the corresponding temperature sensors. The method where computing the corner correction coefficients includes: computing, by the post-processing system, values representing the internal reference voltages at a reference temperature; and computing, by the post-processing system, differences between the values representing the internal reference voltages at the reference temperature and a value representing a target internal reference voltage. The method where computing the curvature correction coefficients includes computing, by the post-processing system, values representing shifted bandgap reference voltages based on the values representing the internal reference voltages and the values representing the PTAT voltages, the values representing the shifted bandgap reference voltages having approximately linear temperature dependences within a target temperature range of the plurality of temperature sensors. The method further including, for each set of the plurality of sets, calibrating analog-to-digital converters (ADCs) of the corresponding temperature sensors to obtain gain coefficients. The method further including, for each set of the plurality of sets, computing, by the post-processing system, corrected gain coefficients using the relative PTAT voltage variation coefficients. The method further including, for each set of the plurality of sets, storing the corrected gain coefficients in non-volatile memories of the corresponding temperature sensors. The method further including, for each set of the plurality of sets, storing the values representing corresponding corrected PTAT voltages and the value representing corresponding internal reference voltages in non-volatile memories of the corresponding temperature sensors. The method further including, for each set of the plurality of sets, storing the corner correction coefficients and the curvature correction coefficients in the non-volatile memories of the corresponding temperature sensors. The method further including storing post-processing parameters in the non-volatile memories of the corresponding temperature sensors. The method further including, for each set of the plurality of sets: generating, by the corresponding temperature sensors, first output signals of the plurality of output signals, the first output signals being based on the PTAT voltages and the internal reference voltages generated by temperature sensing circuits of the corresponding temperature sensors; and generating, by the corresponding temperature sensors, second output signals of the plurality of output signals, the second output signals being based on the PTAT voltages generated by the temperature sensing circuits of the corresponding temperature sensors and calibration reference voltages generated by reference voltage generators of the corresponding temperature sensors. The method further including, for each set of the plurality of sets, measuring the value representing the calibration reference voltages. The method further including setting a temperature of the plurality of temperature sensors to a calibration temperature using a thermal chuck. The method further including, for each set of the plurality of sets, computing, by the post-processing system, an average sensed calibration temperature for the corresponding temperature sensors. The method where the calibration temperature is non-uniform across the thermal chuck. The method where a uniformity error of the thermal chuck is characterized by a characteristic function. The method further including narrowing a distribution of average sensed calibration temperatures of the plurality of sets using the characteristic function. The method further including centering the distribution of the average sensed calibration temperatures of the plurality of sets.
[0061] A further general aspect includes a method including: receiving, by a post-processing system coupled to a temperature sensor, an output signal generated by the temperature sensor, the output signal being based on a proportional to absolute temperature (PTAT) voltage and an internal reference voltage generated by a temperature sensing circuit of the temperature sensor; reading, by the post-processing system, device specific calibration coefficients and post-processing parameters stored in a non-volatile memory of the temperature sensor; computing, by the post-processing system, a corner correction coefficient and a curvature correction coefficient based on the device specific calibration coefficients; computing, by the post-processing system, a PTAT ratio based on the output signal; and computing, by the post-processing system, a sensed temperature based on the PTAT ratio, the corner correction coefficient and the curvature correction coefficient.
[0062] Implementations may include one or more of the following features. The method where computing the sensed temperature includes: computing, by the post-processing system, an estimated temperature based on the PTAT ratio; and correcting, by the post-processing system, the estimated temperature by adding a linear correction term to the estimated temperature to obtain the sensed temperature, the linear correction term being proportional to a sum of the corner correction coefficient and the curvature correction coefficient. The method where computing the sensed temperature includes: correcting, by the post-processing system, mapping coefficients used for mapping the PTAT ratio to a temperature domain using the corner correction coefficient and the curvature correction coefficient to obtain corrected mapping coefficients; and computing, by the post-processing system, the sensed temperature based on the PTAT ratio and the corrected mapping coefficients. The method further including: calibrating the temperature sensor to determine the device specific calibration coefficients; and storing the device specific calibration coefficients in the non-volatile memory. The method further including storing the post-processing parameters in the non-volatile memory. The method where calibrating the temperature sensor includes: setting a temperature of a plurality of temperature sensors to a calibration temperature, the temperature sensor being one of the plurality of temperature sensors; computing, by the post-processing system, values representing PTAT voltages and values representing internal reference voltages of the plurality of temperature sensors; and computing, by the post-processing system, an average of the values representing the PTAT voltages of the plurality of temperature sensors and relative PTAT voltage variation coefficients of the plurality of temperature sensors. The method where computing the corner correction coefficient includes: computing, by the post-processing system, a value representing an internal reference voltage of the temperature sensor at a reference temperature, the reference temperature being different from a calibration temperature; and computing, by the post-processing system, a difference between the value representing the internal reference voltage of the temperature sensor at the reference temperature and a value representing a target internal reference voltage. The method where computing the curvature correction coefficient includes computing, by the post-processing system, a value representing a shifted bandgap reference voltage of the temperature sensor based on the value representing the internal reference voltage of the temperature sensor and the value representing the PTAT voltage of the temperature sensor, the value representing the shifted bandgap reference voltage having an approximately linear temperature dependence within a target temperature range of the temperature sensor.
[0063] A further general aspect includes a system including: a temperature sensor; and a post-processing system coupled to the temperature sensor, where the post-processing system is configured to: receive a first signal and a second signal generated by the temperature sensor, the first signal being different from the second signal; determine, using the first signal and the second signal, a corner correction coefficient to correct for a corner error; determine a curvature correction coefficient to correct for a curvature error; and determine a sensed temperature using the corner correction coefficient and the curvature correction coefficient.
[0064] Implementations may include one or more of the following features. The system where the post-processing system is further configured to determine, using the first signal and the second signal, device specific calibration coefficients. The system where the temperature sensor further includes a non-volatile memory configured to store the device specific calibration coefficients and post-processing parameters. The system where the temperature sensor includes: a temperature sensing circuit; an analog-to-digital converter (ADC) coupled to the temperature sensing circuit; and a reference voltage generator coupled to the ADC. The system where the temperature sensing circuit is configured to generate a proportional to absolute temperature (PTAT) voltage and an internal reference voltage. The system where the temperature sensing circuit includes at least one diode. The system where the at least one diode is a diode-connected bipolar transistor. The system where the internal reference voltage is a base-emitter voltage of the diode-connected bipolar transistor. The system where the PTAT voltage is a difference between base-emitter voltages of the diode-connected bipolar transistor at different bias currents. The system where the reference voltage generator is configured to generate a calibration reference voltage. The system where the ADC is configured to: generate the first signal based on the PTAT voltage and the internal reference voltage; and generate the second signal based on the PTAT voltage and the calibration reference voltage. The system where the post-processing system is further configured to: determine a value representing the PTAT voltage based on the second signal; determine a relative PTAT voltage variation coefficient to correct for a spread error; and correct the value representing the PTAT voltage using relative PTAT voltage variation coefficient. The system where the temperature sensor further includes a decimation filter coupled between the ADC and the post-processing system. The system where the decimation filter is configured to determine the sensed temperature using the corner correction coefficient and the curvature correction coefficient.
[0065] It should be appreciated that one or more steps of the embodiment methods provided herein may be performed by corresponding units or modules. For example, a signal may be transmitted by a transmitting unit or a transmitting module. A signal may be received by a receiving unit or a receiving module. A signal may be processed by a processing unit or a processing module. Other steps may be performed by a generating unit/module, a determining unit/module, a reading unit/module, a storing unit/module, a computing unit/module, a comparing unit/module, a correcting unit/module, and/or a setting unit/module. The respective units/modules may be hardware, software, or a combination thereof. For instance, one or more of the units/modules may be an integrated circuit, such as field programmable gate arrays (FPGAs) or application-specific integrated circuits (ASICs).
[0066] While this disclosure has been described with reference to illustrative embodiments, this description is not intended to be construed in a limiting sense. Various modifications and combinations of the illustrative embodiments, as well as other embodiments of the disclosure, will be apparent to persons skilled in the art upon reference to the description. It is therefore intended that the appended claims encompass any such modifications or embodiments.