Invention Grant
US09333814B2 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
有权
用于使用置信区间分析和回滚事件执行与车轮配置的轮胎压力监测传感器的自动定位的系统和方法
- Patent Title: 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
- Patent Title (中): 用于使用置信区间分析和回滚事件执行与车轮配置的轮胎压力监测传感器的自动定位的系统和方法
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Application No.: US13973855Application Date: 2013-08-22
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Publication No.: US09333814B2Publication Date: 2016-05-10
- Inventor: Gary Graham , Peter Walker , Alan Millen , Steven Baird , John Greer , James Coalter
- Applicant: Schrader Electronics Ltd.
- Applicant Address: GB Antrim, Northern Ireland
- Assignee: Schrader Electronics Ltd.
- Current Assignee: Schrader Electronics Ltd.
- Current Assignee Address: GB Antrim, Northern Ireland
- Agency: Holland & Hart LLP
- Main IPC: B60C23/04
- IPC: B60C23/04 ; G01B21/22

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.
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