METHOD FOR PROCESSING SENSOR SIGNALS
20170030277 ยท 2017-02-02
Inventors
- Thomas Bleile (Stuttgart-Zuffenhausen, DE)
- Slobodanka Lux (Deizisau, DE)
- Wilhelm Blumendeller (Freiberg, DE)
- Martin Hoerner (Stuttgart, DE)
- Nico Schick (Leutenbach, DE)
Cpc classification
F02M26/45
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F02M2026/009
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F02D2041/0075
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F02D41/1448
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F02M2026/005
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F02D41/0047
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
Y02T10/40
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
F02D2041/1416
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F02M26/52
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F02D41/0072
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
International classification
F02D41/00
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F02M26/52
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
Abstract
A method for processing sensor signals in a control unit of a motor vehicle and a control unit for carrying out the method. The control unit is provided for the open-loop and/or closed-loop control of a system and acquires signals from this system. The system is modeled with the aid of a model, at least one value being ascertained for a slow signal based on the model.
Claims
1. A method for processing sensor signals in a control unit of a motor vehicle, the control unit being provided for open-loop and/or closed-loop control of a system, the method comprising: acquiring signals from the system, of which at least one signal is classified as slow signal and at least one signal is classified as fast signal; ascertaining at least one value for the at least one slow signal based on a model of the system.
2. The method as recited in claim 1, wherein a time characteristic of the at least one slow signal is ascertained.
3. The method as recited in claim 1, wherein the system is modeled with a system model.
4. The method as recited in claim 1, wherein the system is modeled dynamically with at least one of the at least one fast signals and at least one input quantity into the system.
5. The method as recited in claim 1, further comprising: adapting the model based on measured values in order to correct an observational error.
6. The method as recited in claim 1, further comprising: at least one of controlling and regulating an exhaust gas recirculation in a combustion engine using the method.
7. The method as recited in claim 6, wherein the method is used in conjunction with a cylinder-charge control.
8. The method as recited in claim 1, wherein a controller signal is utilized as the fast signal.
9. The method as recited in claim 8, wherein a signal relating to at least one of a pressure-sensor value and a mass-flow value, is utilized as the slow signal.
10. A control unit for the open-loop and/or closed-loop control of a system, the control unit configured to acquire signals from the system, of which at least one signal is classified as slow signal and at least one signal is classified as fast signal, wherein the control unit is equipped to carry out a function in which the system is modeled with the aid of a model and at least one value is ascertained for the at least one slow signal based on the model.
11. The control unit as recited in claim 10, wherein the control unit is an engine control unit.
12. The control unit as recited in claim 10, wherein the function is implemented in a computer program that is stored in the control unit.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0022]
[0023]
DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS
[0024] The present invention is represented schematically in the drawing in light of specific embodiments, and is described in detail below with reference to the drawing.
[0025]
[0026] In this design, exhaust gas recirculation 12 includes a high-pressure exhaust gas recirculation 30 (HP-EGR) and a low-pressure exhaust gas recirculation 32 (LP-EGR). In high-pressure exhaust gas recirculation 30, a HP cooler 34 with bypass 36 and a HP-EGR valve 38 are provided. Low-pressure exhaust gas recirculation 32 includes a LP cooler 40 with bypass 42 and a LP-EGR valve 44. In addition, the figure shows a muffler 50, an exhaust-gas flap 52, a diesel-particle filter 54, a catalytic converter 56 as well as a turbocharger 58 having a turbine 60 and a compressor 62. Moreover, the figure shows a fresh-air feed 70 having an air filter 72, a fresh-air-mass meter 74, a fresh-air restrictor 76, a charge-air cooler 78 and a throttle valve 80.
[0027] HP-EGR valve 38, LP-EGR valve 44, exhaust-gas flap 52 or fresh-air restrictor 76 and throttle valve 80 are the control elements of exhaust gas recirculation 12 for the air-mass control.
[0028] It should be noted that in the practical application, typically either a fresh-air restrictor 76 or an exhaust-gas flap 52 is used.
[0029]
[0030] The representation shows nine graphs in a matrix, characteristics of the initial situation being shown in a first column 100, characteristics according to the present procedure being shown in a second column 102, and characteristics according to an ideal behavior being shown in a third column 104. Characteristics of a fast signal S1 are represented in a first row 110, characteristics of a slow signal S2 are represented in a second row 112 and characteristics of a calculated value S3 are represented in a third row 114. In each case, the time is plotted on the abscissas of the graphs. A signal strength of fast signal S1 is plotted on the ordinates of the graphs of first row 110, a signal strength of slow signal S2 is plotted on the ordinates of the graphs of second row 112, and calculated value S3 is plotted on the ordinates of the graphs of third row 114, respectively.
[0031]
S3=const*S1/S2(1)
[0032] Due to the different phase position of changing signals S1 and S2, calculated value S3 has an overshoot, as can be seen in first column 100 in the graph at the bottom. This corresponds to the initial situation.
[0033] According to the current procedure in second column 102, faster signal S1 is adapted dynamically to slower signal S2. As a consequence, S3 has no overshoot, but is dynamically slower.
[0034] According to the ideal behavior in third column 104, signal S2 is adapted dynamically to S1. Calculated value S3 is dynamically faster and has no overshoot, as may be seen clearly in graph 120.
[0035] In order to adapt the slow signals to the fast signals, a system model is used, for example, which models the slow sensor values based on the inputs into the air system and the fast signals. With the inputs into the air system and the fast sensor signals, information is ready that early on may predict a change in the slow sensor signals. For a comparison of the modeled and measured values, it is necessary to adapt the fast modeled values dynamically to the slow sensor values.
[0036] In one specific embodiment of the method presented, by comparing the slow measured sensor values to the modeled slow sensor values, the system model may be corrected by a suitable weighting. This observer structure makes it possible to obtain both dynamically and steady-state accurate values.
[0037] The method introduced may be considered as a function that is stored, e.g., as software or a computer program in a control unit. This computer program, which includes program-code means for carrying out the method or for executing the function, is likewise subject matter of the present invention.