SYSTEM AND METHOD FOR COMPENSATING SENSOR SIGNALS

• US 20100131140A1
• Filed: 11/14/2008
• Published: 05/27/2010
• Est. Priority Date: 11/14/2008
• Status: Active Grant

• Current Assignee: Robert Bosch GmbH, Robert Bosch LLC (Robert Bosch GmbH)
• Original Assignee: Robert Bosch GmbH
• Inventors: Patient, Daniel, Wu, Hsiencheng, Li, Qingyuan
• Granted Patent: US 8,165,742 B2
• Time in Patent Office: Days
• US Class Current: 701/29
• CPC Class Codes: B60T 2250/04 Vehicle reference speed; Vehicle body speed
• CPC Class Codes: B60T 8/172 Determining control parameters used in the regulation, e.g. by calculations involving measured or detected parameters B60T8/17551 takes precedence
• CPC Class Codes: B60T 8/174 characterised by using special control logic, e.g. fuzzy logic , neural computing
• CPC Class Codes: B60T 8/17551 determining control parameters related to vehicle stability used in the regulation, e.g. by calculations involving measured or detected parameters
• CPC Class Codes: G01P 15/00 Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
• CPC Class Codes: G01P 21/00 Testing or calibrating of apparatus or devices covered by the preceding groups
• CPC Class Codes: G01P 3/50 for measuring linear speed G01P3/56 takes precedence

Abstract

A system and method for compensating sensor signals. The system includes a first sensor, a second sensor, a fuzzy logic module, and a Kalman filter module. The first sensor is configured to generate a first signal corresponding to a first condition of a vehicle. The second sensor is configured to generate a second signal corresponding to a second condition of the vehicle. The fuzzy logic module is configured to output a first set of values based on a signal stability of at least the second signal. The Kalman filter module is configured to receive the first set of values and the first signal and estimate a sensor compensation signal based on at least the first set of values and the first signal.

Claims

1. A system for vehicle sensor signal compensation, the system comprising:

a first sensor configured to generate a first signal corresponding to a first condition of a vehicle;

a second sensor configured to generate a second signal corresponding to a second condition of the vehicle;

a fuzzy logic module configured to output a first set of values based on a signal stability of at least the second signal; and

a Kalman filter module configured to receive the first set of values and the first signal, and to estimate a sensor compensation signal based on at least the first set of values and the first signal.

2. The system of claim 1, wherein the first sensor is an acceleration sensor and the second sensor is a wheel speed sensor.

3. The system of claim 1, wherein the first set of values includes a set of Kalman filter gain coefficients.

4. The system of claim 1, further comprising a combination module configured to combine the sensor compensation signal and the first signal.

5. The system of claim 1, wherein the sensor compensation signal is an acceleration sensor compensation signal.

6. The system of claim 1, wherein the Kalman filter module is configured to estimate an absolute longitudinal velocity of the vehicle.

7. The system of claim 1, wherein the second signal is a wheel speed signal.

8. The system of claim 1, wherein the fuzzy logic module is configured to receive a third signal corresponding to a first derivative of the second signal and a fourth signal corresponding to a second derivative of the second signal.

9. A method of sensor signal compensation comprising:

generating a first signal corresponding to a first condition of a vehicle;

generating a second signal corresponding to a second condition of the vehicle;

receiving, at a fuzzy logic module, at least the second signal;

outputting, from the fuzzy logic module, a first set of values based on a signal stability of at least the second signal;

receiving, at a Kalman filter module, the first set of values and the first signal; and

estimating a sensor compensation signal based on at least the first set of values and the first signal.

10. The method of claim 9, wherein the first signal is related to an acceleration of the vehicle and the second signal is related to a wheel speed of the vehicle.

11. The method of claim 9, wherein outputting the first set of values includes outputting a set of Kalman filter gain coefficients.

12. The method of claim 9, further comprising combining the sensor compensation signal and the first signal.

13. The method of claim 9, wherein the sensor compensation signal is an acceleration sensor compensation signal.

14. The method of claim 9, further comprising estimating, at the Kalman filter module, an absolute longitudinal velocity of the vehicle.

15. The method of claim 9, further comprising receiving, at the fuzzy logic module, a third signal corresponding to a first derivative of the second signal and a fourth signal corresponding to a second derivative of the second signal.

16. A system for compensating sensor signals in a vehicle comprising:

an acceleration sensor configured to generate an acceleration signal corresponding to a first acceleration of the vehicle;

a wheel speed sensor configured to generate a first wheel speed signal corresponding to a first wheel speed of the vehicle;

a fuzzy logic module configured to output a first set of values corresponding to a signal stability of at least the first wheel speed signal; and

a Kalman filter module configured to receive the first set of values and the acceleration signal;

wherein the Kalman filter module is configured to estimate an acceleration sensor compensation signal using at least the first set of values and the acceleration signal.

17. The system of claim 16, wherein the first set of values includes a set of Kalman filter gain coefficients.

18. The system of claim 16, further comprising a combination module configured to combine the acceleration sensor compensation signal and the acceleration signal.

19. The system of claim 16, wherein the Kalman filter module is configured to estimate an absolute longitudinal velocity of the vehicle.

20. The system of claim 16, wherein the fuzzy logic module is configured to receive a first signal corresponding to a first derivative of the first wheel speed signal and a second signal corresponding to a second derivative of the first wheel speed signal.