Device and method for mechanically detecting anomalous battery operation
11482733 · 2022-10-25
Assignee
Inventors
Cpc classification
Y02E60/10
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
H01M10/425
ELECTRICITY
G01B11/16
PHYSICS
H01M10/488
ELECTRICITY
International classification
H01M10/42
ELECTRICITY
H01M10/0525
ELECTRICITY
H01M10/48
ELECTRICITY
Abstract
An anomalous battery operating detection device, which includes a sensing unit capable of measuring mechanical properties of a battery, coupled to a processor for determining whether anomalous behavior has been detected. These devices measure a mechanical property, identifying a difference in the property, and based on that difference, making a determination of anomalous behavior. Non-mechanical properties may also be utilized when making the determination. Responsive actions can be taken once the anomalous behavior is detected. The battery can be intercalated, and may be a lithium-ion battery cell. Alternatively, the sensing unit may measure strain. In addition, more than one sensing unit may be utilized, or a separate light source may be introduced. The system may be configured to allow the processor to determine the potential for failure before the battery fails.
Claims
1. A device for mechanically detecting anomalous battery behavior, comprising: one or more sensing units, configured as: i. one sensing unit operationally coupled to a first surface; ii. two or more sensing units each operationally coupled to the first surface; or iii. one or more sensing units operationally coupled to the first surface and one or more sensing units operationally coupled to a second surface, the second surface being opposite the first surface; and a processor, coupled to the sensing unit, configured to receive input from the one or more sensing units and make a determination of anomalous battery operation by, for each of the one or more sensing units, comparing a value of a mechanical property measured by the sensing unit to a value of the mechanical property measured by the sensing unit at a different point in time and using electrical data to identify a decrease in strain while the battery is charging or an increase in strain while the battery is discharging, or to identify an increase in a minimum pressure detected during repeated charge/discharge cycles, wherein each sensing unit comprises at least one of a mechanical transducer or optical sensor.
2. The device of claim 1, wherein the battery cell is an intercalated battery cell.
3. The device of claim 1, wherein the at least one mechanical property is strain.
4. The device of claim 1, wherein the sensing unit comprises a first mechanical transducer or optical sensor and at least one additional mechanical transducer or optical sensor.
5. The device of claim 1, further comprising a light source.
6. The device of claim 1, configured such that the processor is capable of identifying anomalous battery behavior of the at least one battery cell before a failure event occurs.
7. The device of claim 6, wherein the identified at least one battery cell can be removed without removing the sensing unit.
8. The device of claim 6, further configured to allow the use of the identified at least one battery cell to be modified following the identification of anomalous battery behavior.
9. The device of claim 1, wherein the sensing unit is capable of detecting at least one of lithium metal plating, lithium dendrite growth, internal short-circuiting, separator degradation, or gas evolution.
10. The device of claim 1, further comprising a battery management system capable of measuring non-mechanical properties related to the at least one battery cell is coupled to the processor, wherein the processor is configured to make a determination of anomalous battery operation based on both mechanical and non-mechanical properties.
11. The device of claim 10, wherein non-mechanical properties comprise at least one of voltage, current, or temperature.
12. The device of claim 10, wherein the identified at least one battery cell can be removed without removing the sensing unit.
13. The device of claim 1, wherein the sensing unit is configured to receive at least one wavelength of radiation from a radiation source configured to transmit the at least one wavelength of radiation through the first battery cell.
14. The device of claim 1, wherein the sensing unit is attached to the first battery cell and an additional battery cell.
15. A method for mechanically detecting anomalous battery behavior, comprising the steps of: measuring a mechanical property of a battery cell at a first point in time with one or more sensor units configured as: i. one sensing unit operationally coupled to a first surface; or ii. two or more sensing units each operationally coupled to the first surface; or iii. one or more sensing units operationally coupled to the first surface and one or more sensing units operationally coupled to a second surface, the second surface being opposite the first surface; identifying at least one difference in the at least one mechanical property by comparing the measurement of the mechanical property with at least one of a measurement of the mechanical property at a second point in time or a prediction of the mechanical property at the first point in time; and determining whether there is anomalous battery operation based upon the identification of a decrease in strain while the battery is charging or an increase in strain while the battery is discharging, or upon identification of an increase in a minimum pressure detected during repeated charge/discharge cycles.
16. The method according to claim 15, further comprising the step of detecting battery controller faults by utilizing a plurality of measurements of the mechanical property and cross-referencing with at least one of a voltage or current measurement of at least one of a battery cell or battery controller.
17. The method according to claim 15, further comprising the step of comparing the identified at least one change in the at least one mechanical property with at least one change in at least one non-mechanical property.
18. The method according to claim 15, further comprising the step of taking a responsive action selected from the group of: displaying a warning on a user interface, emitting a warning sound, shutting down a device associated with the battery, or modifying the use of the battery cell.
Description
BRIEF DESCRIPTION OF DRAWINGS
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DETAILED DESCRIPTION OF THE INVENTION
(10) Disclosed is a system and method drawn to mechanically detecting anomalous battery operation that is capable of predicting battery failure in time to allow the system to prevent catastrophic failure. Conventional battery monitoring technologies rely on measurements of non-mechanical parameters (e.g. voltage, current, temperature) and attempt to relate these parameters to internal battery operation. These conventional parameters in some cases could be used to detect anomalous battery operation, although in many cases they are insufficient for providing early warning of an impending failure event. In contrast, mechanical measurements by the device disclosed herein have been shown to provide complementary information and can detect anomalous effects.
(11) Anomalous behavior refers to a measurable characteristic of the battery during operation that deviates from a prescribed set of “normal” characteristics determined from prior measurements or from theoretical models. For instance a mechanical measurement showing deviation from a previously determined value would be considered anomalous. Alternatively, some batteries have a net volume change under charging. As one example, lithium ion batteries with graphite anodes expand during charging as lithium ions intercalate into the graphite lattice. Thus, if the charging battery stops expanding, such behavior would be considered anomalous. Such anomalous behavior may be prescribed to correspond to behavior resulting in a reduction in performance, an impending failure event, concomitant failure event, or other anomalous occurrence of interest. Such anomalous behavior of interest include but are not limited to internal short circuiting, electrode degradation, metallic lithium formation, gas evolution, separator shutdown, fire, etc.
(12) Mechanical measurements refer to measurements of mechanical properties such as dimension, volume, pressure, force, etc. Such measurements are typically made by a mechanical transducer. Mechanical transducer is defined here as a device capable of converting mechanical energy (e.g. in the form of pressure, force, displacement, strain, etc.) to a measurable electrical signal. Such transducers may include load cells, strain gauges, displacement sensors, position sensors, pressure sensors, etc. possibly constructed from piezoresistive, piezoelectric, inductive, capacitive, etc. elements. Such transducers are capable of measuring a change in a mechanical property or behavior of a battery cell, cell component, or pack. This may include, but is not limited to, measurements of displacement, force, stress, strain, dimensions, and the material properties affecting these measurements, such as modulus.
(13) Mechanical measurements such as those above can also be made with optical methods. Such detection techniques may rely on the use of photons of varying wavelengths from short wavelength X-Rays through long wavelength Terahertz and millimeter-wave regimes. Techniques employing light may include interference, scattering, transmission, reflection, absorption, ellipsometry and other methods, as depicted in the Figures.
(14) The disclosed device can be combined with conventional battery management systems to provide higher-fidelity battery control and monitoring, and is compatible with common battery chemistries, including but not limited to intercalated batteries such as lithium-ion. Ultimately the ability to preemptively predict failure will enable the development of next generation battery systems with higher safety and reliability.
(15) More specifically,
(16) The processor, coupled to the sensing unit, may be employed to provide the monitoring and to provide a determination of whether there is anomalous battery operation. The frequency of measurements can be varied based on a variety of factors, including but not limited to: cycling rate; phases such as charge, discharge, and rest; and state of health.
(17) Although the processor can be configured to detect anomalies with as few as 2 data points from the sensing unit, typically increasing the number of data points during a particular step enables the detection of smaller anomaly signals, which allows earlier detection of the anomalies. Thus, preferred systems utilize a configuration where the processor considers at least 10 data points during a particular step to detect an anomaly, and in more preferred systems the processor considers at least 100 data points.
(18) In some instances, measurements and anomaly detection with little or no delay between measurements may be desirable to increase accuracy or sensitivity. In some embodiments, at the end of discharge or charging step, continuous measurements may be beneficial to determine the exact values of minimum and maximum stress. In other embodiments, measurement rates of up to 1, 2, 5, 10, 50, or 100 measurements or more per second may be utilized.
(19) In other instances, periodic measurements separated by longer periods of time may be sufficient, such as but not limited to taking one measurement every 2, 5, 30, 60, or 120 minutes or more may be sufficient. Alternatively, there may be situations where there is a benefit in measuring mechanical properties more frequently during a particular phase (e.g., charging) than during a discharge step, or not measuring mechanical properties during one particular phase at all, such as but not limited to a rest step. For example, for a fully electric car, it may be desirable to only check mechanical properties once an hour while the car is in use, but every 5 minutes while charging.
(20) Alternatively, the frequency can be varied based on other factors, such as but not limited to the battery state of health (SOH) or the aging history of the battery. Typically, as batteries age, there is a higher possibility of a battery failure occurring. Thus, there may be benefit in collecting measurements more frequently in the later cycles. In some instances, a step change in the frequency of measurements may occur after one or more numbers of cycles (e.g., increasing the frequency by 10% every 100 cycles, or doubling the frequency after 500 cycles), and/or the frequency may continuously increase based on the number of cycles (e.g., increasing the frequency by 0.05% every cycle).
(21) Such a system would be of great practical use and benefit for many industries including the portable electronics, automobile, aerospace, and commercial power generation markets.
(22) By monitoring this information, it is possible to observe an indication of impending catastrophic failure before it happens. This includes observing internal shorts, gas evolution, lithium dendrite growth and even predicting when a battery will potentially catch fire. Simply detecting mechanical changes in the battery, without context, may sometimes be insufficient to determine anomalous behavior. For that reason, at least one other aspect (time, current, number of cycles, etc.) related to the battery operation may also be measured.
(23) In one embodiment, the determination of anomalous battery operation comprises detecting at least one of a decrease in strain while the battery is charging, or an increase in strain while the battery is discharging.
(24) Experimental testing of the disclosed device used a mechanical load cell to measure the stack stress on a constrained lithium-ion battery, as depicted in
(25) Referring now to
(26) Referring now to
(27) The increase of the minimal point (107, 108) in the expansion indicates the growth of a solid electrolyte interphase (SEI) layer. Any deviation from the minimal point may indicate a potential concern, such as but not limited to gas evolution.
(28) Referring now to
(29) In another embodiment, the determination of anomalous battery operation comprises detecting a peak at the end of a charging step. As shown in
(30) In yet another embodiment, larger than expected irreversible stress may be detected, which could indicate gas evolution.
(31) In other embodiments, the disclosed device for mechanically detecting anomalous battery operation employs an optical method to monitor mechanical changes in a battery cell. Referring to
(32) Referring to
(33) While the above descriptions describe single battery or battery cell systems, mechanical properties of multi-cell battery systems can be measured as well. In many cases, the testing of a single cell within the multi-cell battery may be sufficient, in which case the above disclosed approaches can be utilized. If more refined data is required, multiple sensing units can be utilized in a single multi-cell battery. Referring now to
(34) In other configurations, it may be more cost effective to utilize only a single sensing unit (410), and not integrate the intermediate sensing units (415). In this manner, the system would simply detect whether the stack of batteries as a whole are expanding or contracting, for example.
(35) These devices allow a battery system to adjust the use of the battery to avoid catastrophic failures. In some cases, this may involve adjusting current to the battery, or eliminating it entirely. In other cases, the battery may be allowed to discharge, but not be recharged. A detected failure may also require the removal of the failing battery. In some instances, the sensing unit is physically coupled to a battery. However, as seen in
(36) Cost and size added by the device to a battery system can be mitigated by using sensors with lower cost and smaller size. The specific relationships between anomalous mechanical behavior and failure are still under investigation. The fidelity of the mechanical measurements predictive ability can be enhanced by comparing mechanical data with electrical data measured by conventional battery systems.
(37) Referring now to
(38) Battery controller faults can also be detected, by utilizing a plurality of measurements of the mechanical property and cross-referencing with at least one of a voltage or current measurement of at least one of a battery cell or battery controller.
(39) The disclosed approach can be used in any system containing battery cells that exhibit changes in mechanically-measurable properties. The mechanical data provided by the device could be used to detect anomalies as a standalone system, or incorporated into a conventional battery management system to provide an additional independent data stream that can be used to create higher-fidelity detection of anomalous behavior.
(40) The disclosed approach has applicability to any system in which it is desired to prevent battery failure, such as consumer electronics, electric vehicles, avionics, and general large-scale battery systems.
(41) Various modifications and variations of the invention in addition to those shown and described herein will be apparent to those skilled in the art without departing from the scope and spirit of the invention, and fall within the scope of the claims. Although the invention has been described in connection with specific preferred embodiments, it should be understood that the invention as claimed should not be unduly limited to such specific embodiments.