Indirect tire pressure monitoring systems and methods using multidimensional resonance frequency analysis

• US 9,527,352 B2
• Filed: 06/17/2013
• Issued: 12/27/2016
• Est. Priority Date: 06/17/2013
• Status: Active Grant

• Current Assignee: Infineon Technologies AG
• Original Assignee: Infineon Technologies AG
• Inventors: Hammerschmidt, Dirk
• Primary Examiner(s): BUTLER, RODNEY ALLEN
• Application Number:
  US13/919,620
• Publication Number:
  US 20140372006A1
• Time in Patent Office: 1,289 Days
• US Class Current: 1/1
• CPC Class Codes: B60C 23/062 Frequency spectrum analysis of wheel speed signals, e.g. using Fourier transformation

Abstract

An indirect tire pressure monitoring systems (TPMS) and methods that utilize anti-lock braking system (ABS) sensed signals coupled to circuitry and/or controllers to process the sensed signals using a multidimensional resonance frequency analysis (MRFA) technique. Additional information from other sensed signals or stored data settings for non-tire variables and parameters can be incorporated into the MRFA. Thus, an indirect TPMS comprises at least one signal from an ABS, such as a wheel speed signal, and an electronic control unit (ECU) that processes the at least one signal from the ABS using at least one MRFA technique. The MRFA uses a spectral analysis of tire vibrations as determined from the sensed ABS signals over different points in the spectrum that can reflect different vibration modes and different corresponding resonance frequencies.

Claims

1. An indirect tire pressure monitoring system (TPMS) comprising:

an antilock braking system (ABS) configured to provide a wheel speed signal; and

an electronic control unit (ECU) coupled to the ABS and configured to process the wheel speed signal using a multidimensional resonance frequency analysis (MRFA) that includes a spectral analysis identifying a plurality of resonance frequencies associated with at least two tire vibration modes in the wheel speed signal and isolates at least one characteristic affecting the at least two tire vibration modes,

wherein the ECU is configured to verify an estimated tire pressure based on at least one other parameter related to a combination of the at least two tire vibration modes.

2. The indirect TPMS of claim 1, wherein the wheel speed signal are transmitted over a wire conductor to the ECU.

3. The indirect TPMS of claim 2, wherein at least one additional wire conductor is provided to transmit at least one analog or digital signal to the ECU.

4. The indirect TPMS of claim 1, further comprising at least one other source of global vehicle parameter data that is available to the ECU.

5. The indirect TPMS of claim 4, wherein the at least one other source of global vehicle parameter data comprises at least one inertia sensor.

6. The indirect TPMS of claim 5, wherein at least one of the wheel speed signal or the at least one other source of global vehicle parameter data is used to identify the at least two tire vibration modes.

7. The indirect TPMS of claim 1, wherein the indirect TPMS provides an estimate for the at least one other parameter in addition to the estimated tire pressure based on an evaluation of the at least two tire vibration modes.

8. The indirect TPMS of claim 1, wherein the at least one other parameter is a temperature.

9. The indirect TPMS of claim 1, wherein the at least two tire vibration modes each relates to a different deformation of a tire.

10. The indirect TPMS of claim 1, further comprising memory circuitry configured to store tire model data for use in isolating the at least one characteristic.

11. The indirect TPMS of claim 1, wherein the at least one characteristic comprises a tire pressure.

13. The indirect TPMS of claim 1, wherein the ECU includes a digital signal processor (DSP) that performs at least part of the MFRA.

12. An indirect tire pressure monitoring system (TPMS) comprising:

an antilock braking system (ABS) configured to provide a wheel speed signal; and

an electronic control unit (ECU) coupled to the ABS and configured to process the wheel speed signal using a multidimensional resonance frequency analysis (MRFA) that includes a spectral analysis identifying a plurality of resonance frequencies associated with at least two tire vibration modes in the wheel speed signal and isolates at least one characteristic affecting the at least two tire vibration modes,

wherein at least one of the at least two different tire vibration modes is identified from the spectral analysis at a level below a conventional signal to noise ratio (SNR) of a wheel speed spectrum extracted from a conventional ABS sensor signal.

14. A method of indirect tire pressure monitoring of individual tires on a vehicle comprising:

extracting data from an antilock braking system (ABS) for a tire, the data representative of wheel speed of the tire; and

using a signal processing system to analyze the data to determine a plurality of resonance frequencies associated with the data, and to analyze the plurality of resonance frequencies to determine at least an estimated tire pressure for the tire, wherein the signal processing system comprises an electronic control unit (ECU),

wherein analyzing the data further comprises identifying at least one of the plurality of resonance frequencies from a spectral analysis at a level below a conventional signal to noise ratio (SNR) of a wheel speed spectrum extracted from a conventional ABS sensor signal.

15. The method of claim 14, further comprising communicating the estimated tire pressure to one of a vehicle control system, a vehicle operator or a service technician.

16. The method of claim 14, further comprising transmitting the data from the ABS to the signal processing system over a wire conductor.

17. The method of claim 14, wherein analyzing the data further comprises identifying characteristics affecting at least one of the plurality of resonance frequencies.

18. The method of claim 17, further comprising storing in a memory a result of the identifying.