System and method for performing auto-location of a tire pressure monitoring sensor arranged with a vehicle wheel using confidence interval analysis and rollback events

• US 9,333,814 B2
• Filed: 08/22/2013
• Issued: 05/10/2016
• Est. Priority Date: 08/22/2013
• Status: Active Grant

• Current Assignee: Schrader Electronics Limited (Sensata Technologies Holding Plc)
• Original Assignee: Schrader Electronics Limited (Sensata Technologies Holding Plc)
• Inventors: Graham, Gary, Walker, Peter, Millen, Alan, Baird, Steven, Greer, John, Coalter, James
• Primary Examiner(s): Olszewski, John R
• Assistant Examiner(s): ROBERSON, JASON R
• Application Number:
  US13/973,855
• Publication Number:
  US 20150057876A1
• Time in Patent Office: 992 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: B60C 23/0416 allocating a corresponding wheel position on vehicle, e.g. front/left or rear/right
• CPC Class Codes: B60C 23/0489 for detecting the actual angular position of the monitoring device while the wheel is turning

Abstract

Auto-location systems and methods of tire pressure monitoring sensor units arranged with a wheel of a vehicle detect a predetermined time (T1) when a wheel phase angle reaches angle of interest using a rim mounted or a tire mounted sensor. The systems and methods transmit a radio frequency message associated with a wheel phase angle indication. The wheel phase angle indication triggers wheel phase and/or speed data such as ABS data at the predetermined time (T1) to be stored. A correlation algorithm is executed to identify the specific location of a wheel based on the wheel phase and/or speed data at the predetermined time (T1). TPM sensor parameters from a tire pressure monitoring sensor unit are assigned to the specific location of the wheel based on a confidence interval width analysis of the ABS data at the predetermined (T1). The confidence interval width analysis identifies the specific location of the wheel whose ABS sensor shows a lowest confidence interval width as a result of a normal distribution pattern or similar pattern. The confidence interval width analysis may calculate a weighted cumulative confidence interval width for the ABS data which experience rollback events.

Claims

1. A wheel auto-location method, comprising:

receiving at a control unit of a vehicle, from one of a plurality of tire pressure monitoring (TPM) sensors, a radio frequency (RF) transmission that indicates a TPM sensor wheel phase angle measurement point during a rotation of a wheel and TPM sensor parameters, wherein the RF transmission is associated with a phase correlation data storage event trigger;

storing a current content of a rolling window of antilock brake system (ABS) data for each of a plurality of ABS sensors indicative of a wheel phase angle in response to the phase correlation data storage event trigger, wherein a time period covered by the rolling window is the same or greater than a time period between the TPM sensor wheel phase angle measurement point and a receipt point of the RF transmission, and the current content of the rolling window corresponds to the ABS data incremented between the TPM sensor wheel phase angle measurement point and the receipt point of the RF transmission;

calculating a time of the TPM sensor wheel phase angle measurement point based on the time period between the TPM sensor wheel phase angle measurement point and the receipt point of the RF transmission;

determining a relevant ABS data value at the time of the TPM sensor wheel phase angle measurement point from the current content of the rolling window of the ABS data based on the TPM sensor wheel phase angle measurement point over time;

receiving further measurements that indicate the TPM sensor wheel phase angle at multiple points in time;

determining the relevant ABS data for each of the plurality of ABS sensors for each of the multiple points in time for which the TPM sensor wheel phase angle is received;

generating a histogram array for the relevant ABS data for each of the plurality of ABS sensors, the histogram array comprising a plot of the relevant ABS data and the TPM sensor wheel phase angle;

applying a confidence interval to each histogram array of the relevant ABS data, wherein the confidence interval excludes outlier data;

calculating a confidence interval (COIN) width value from each histogram array from which the outlier data has been excluded; and

applying an auto-location algorithm to identify a specific location of the wheel based on determining which of the plurality of ABS sensors generates the histogram with the lowest COIN width value for the TPM sensor wheel phase angle and assigning one of the plurality of TPM sensors to a same wheel location as the ABS sensor having the lowest COIN width value.

2. The method of claim 1, further comprising determining a COIN width margin for each of the plurality of TPM sensors and

wherein applying the auto-location algorithm further comprises applying the auto-location algorithm to identify the specific location of the wheel based on the lowest COIN width value and the COIN width margin.

3. The method of claim 1, further comprising determining a COIN width threshold for each of the plurality of TPM sensors and

wherein applying the auto-location algorithm further comprises applying the auto-location algorithm to identify the specific location of the wheel based on the lowest COIN width value and the COIN width threshold.

4. The method of claim 2, further comprising determining a COIN width threshold for each of the plurality of TPM sensors and

wherein applying the auto-location algorithm further comprises applying the auto-location algorithm to identify the specific location of the wheel based on the lowest COIN width value, the COIN width margin and the COIN width threshold.

5. The method of claim 1, wherein applying the auto-location algorithm comprises:

selecting a histogram showing a normal distribution pattern, or a pattern which is most similar to the normal distribution pattern; and

identifying the specific location of the wheel based on a location of an ABS sensor corresponding to a selected histogram,

wherein the selected histogram has the lowest COIN width value.

6. A method for performing auto-location of a wheel in a vehicle, comprising:

arranging a wheel unit to be associated with a wheel of the vehicle, the wheel unit comprising a tire pressure monitoring (“

TPM”

) sensor and a wheel phase angle sensor and the wheel unit transmitting TPM sensor parameters;

arranging an antilock brake system (“

ABS”

) sensor to be associated with each wheel of the vehicle, the ABS sensor producing ABS data indicative of the wheel phase angle;

upon rotation of the wheel, detecting with the wheel phase angle sensor a first time (T1) at a predetermined wheel phase angle;

at a second time (T2), sending from the wheel unit a radio frequency (RF) transmission;

at an electronic control unit (“

ECU”

), receiving the RF transmission;

continually maintaining a rolling window of the ABS data associated with each wheel;

storing a current content of the rolling window of ABS data for each wheel upon receipt of the RF transmission;

calculating the first time (T1) based on a predetermined time delay (T2-T1) between the first time (T1) and the second time (T2);

determining the ABS data at the first time (T1) for each wheel;

generating a histogram array for the relevant ABS data for each of the ABS sensors, the histogram array comprising a plot of the relevant ABS data and the wheel phase angle;

applying a confidence interval to each histogram array of the ABS data, wherein the confidence interval excludes outlier data;

calculating a confidence interval (COIN) width value from each histogram array from which the outlier data has been excluded;

identifying a location of the wheel whose COIN width value of ABS data is the smallest.

7. The method of claim 6, wherein the ABS data at the first time (T1) comprises ABS tooth counts of the ABS sensor, and generating the histogram array comprises:

converting the ABS tooth counts for each RF transmission to a bin number, the bin number representing a rotation degree of the wheel;

storing an occurrence count of the identical bin number in the histogram array; and

formulating a histogram having one axis showing the bin number converted from the ABS tooth counts and the other axis showing the occurrence count of the identical bin number.

8. The method of claim 6, wherein the ABS data at the first time (T1) comprises ABS tooth counts of the ABS sensor, and the method further comprising:

monitoring a trend of the ABS tooth counts;

detecting a stop event when the ABS tooth counts show no change for a first predetermined monitoring period;

detecting a move event when the ABS tooth counts show a gradual change for a second predetermined monitoring period; and

detecting a second stop event when the ABS tooth counts show no change for the first predetermined monitoring period.

9. The method of claim 8, further comprising:

upon detection of a rollback event, calculating a COIN width value from the histogram array for the ABS data until the time of the rollback event.

10. The method of claim 9, wherein calculating the COIN width value comprises calculating a weighted cumulative COIN width, which is a function of accumulated COIN width values and a respective number of ABS tooth counts corresponding to each of the COIN width values.

11. The method of claim 6, wherein the step of identifying a location of the wheel comprises identifying the location of the wheel whose ABS sensor shows a histogram having a normal distribution pattern.

12. The method of claim 6, wherein the step of identifying a location of the wheel comprises excluding the location of the wheel whose ABS sensor shows a histogram having a random or non-normal distribution pattern.

13. The method of claim 6, further comprising defining a boundary of a histogram to determine the COIN width with respect to each ABS sensor.

14. A wheel auto-location method, comprising:

receiving, from one of a plurality of tire pressure monitoring (TPM) sensors, a radio frequency (RF) transmission indicating a TPM sensor wheel phase angle measurement point during rotation of a wheel and TPM sensor parameters;

calculating a time of the TPM sensor wheel phase angle measurement point based on the RF transmission;

maintaining a rolling window of ABS data for each of a plurality of ABS sensors and capturing a relevant rolling window of ABS data at the time of the TPM sensor wheel phase angle measurement point;

monitoring the ABS data and detecting a rollback event which causes the ABS data to represent an irregular pattern;

generating a histogram array for the relevant ABS data for each of the ABS sensors, the histogram array comprising the relevant ABS data and the wheel phase angle;

applying a confidence interval to each histogram array of the ABS data, wherein the confidence interval excludes outlier data;

calculating a confidence interval (COIN) width value from each histogram array from which the outlier data has been excluded;

correlating the ABS data at the one-measurement point with a specific location of a wheel based on confidence interval (COIN) width analysis of the relevant rolling window of ABS data at the time of the TPM sensor wheel phase angle measurement point; and

determining the specific location of the wheel where the TPM sensor parameters are assigned.

15. The method of claim 14, wherein correlating the ABS data with the specific location of the wheel comprises:

converting the ABS data into an equivalent bin number;

counting an occurrence of the identical equivalent bin number;

formulating a histogram based on the equivalent bin number and the occurrence count of the identical equivalent bin number; and

applying an observed confidence level to the histogram and calculating a COIN width value.

16. The method of claim 15, further comprising identifying the specific location of the wheel whose ABS sensor shows a smallest COIN width value, wherein the smallest COIN width value is smaller than a COIN width threshold, and

wherein the COIN width value from ABS sensors associated with remaining wheels are larger than the sum of the smallest COIN width value and COIN width margin.

17. The method of claim 14, further comprising:

calculating a COIN width based on the number of ABS teeth until the occurrence of the rollback event; and

calculating a weighted cumulative COIN width based on individual COIN width calculations and the count of the number of ABS teeth used in each COIN width calculation at the time of occurrence of each rollback event.

18. A tire pressure monitoring system for performing auto-location of a wheel in a vehicle, comprising:

a wheel unit to be associated with a wheel of the vehicle, the wheel unit comprising;

a tire pressure monitoring (TPM) sensor that measures TPM sensor parameters of the wheel; and

a wheel phase angle sensor that detects an angle of interest (P1) at a first time (T1);

wherein the wheel unit transmits at the second time (T2) a radio frequency (RF) message comprising;

an identification of the TPM sensor; and

measured TPM sensor parameters; and

an electronic control unit (“

ECU”

) of the vehicle in communication with the wheel unit and an ABS sensor; and

computer program code operable in conjunction with the ECU of the vehicle, the ECU in communication with the wheel unit and the ABS sensor of the vehicle, wherein in response to the phase correlation data storage event trigger, the ECU is operable in response to the computer program code to execute instructions of;

calculating the first time (T1) based on a predetermined time delay (T2-T1);

storing a count of a number of ABS teeth which represents the number of ABS teeth that have passed each ABS sensor in a given period of time and is indicative of wheel phase angle based on a phase correlation data storage event trigger and determining the count of the number of ABS teeth or data at the first time (T1);

generating a histogram array for the relevant ABS data for each of the ABS sensors, the histogram array comprising the relevant ABS data and the wheel phase angle;

applying a confidence interval to each histogram array of the ABS data, wherein the confidence interval excludes outlier data;

calculating a confidence interval (COIN) width value from each histogram array from which the outlier data has been excluded;

correlating a location of the wheel with a location of the ABS sensor based on the confidence interval (COIN) width value calculated from the count of the number of ABS teeth at the first time (T1); and

associating the TPM sensor parameters with the determined location of the wheel.

19. The system of claim 18, wherein the ECU is further operable to execute instructions of determining the location of the wheel based on a lowest COIN width value and at least one of a predetermined COIN width margin, or a predetermined COIN width threshold.

20. The system of claim 18, wherein the ECU is further operable to execute instructions of:

detecting a rollback event and calculating a COIN width based on the number of ABS teeth until an occurrence of the rollback event; and

calculating a weighted cumulative COIN width based on individual COIN width calculations and the count of the number of ABS teeth used in the COIN width calculation at the time of occurrence of the rollback event.