Tire pressure monitoring systems and methods

• US 10,189,319 B2
• Filed: 11/07/2014
• Issued: 01/29/2019
• Est. Priority Date: 11/20/2012
• Status: Active Grant

• Current Assignee: Jianzhong Fu
• Original Assignee: Jianzhong Fu
• Inventors: Fu, Liming
• Primary Examiner(s): McCormack, Thomas S
• Application Number:
  US14/536,187
• Publication Number:
  US 20150061852A1
• Time in Patent Office: 1,544 Days
• Field of Search: None
• CPC Class Codes: B60C 23/02 Signalling devices actuated by tyre pressure hand-held tyre pressure gauges G01L17/00
• CPC Class Codes: B60C 23/0474 Measurement control, e.g. setting measurement rate or calibrating of sensors; Further processing of measured values, e.g. filtering, compensating or slope monitoring
• CPC Class Codes: B60C 23/0488 Movement sensor, e.g. for sensing angular speed, acceleration or centripetal force
• CPC Class Codes: B60C 23/061 by monitoring wheel speed measuring distance traversed on the ground by vehicles G01C22/00

Abstract

An improved method for a passenger car tire pressure monitoring system (TPMS), including improvements of a direct TPMS or an indirect TPMS technique. The direct TPMS uses a dynamic tire pressure reference as a tire pressure determination basis, and monitors the real-time tire load, e.g., when the wheel load changes, the TPMS data processing center takes the tire cold inflation pressure data corresponding to the real-time load as the current tire pressure reference, and performs determinations and warnings for the real-time tire pressure data. The indirect TPMS establishes a wheel speed reference database based on a vehicle speed reference, and conducts compensations and corrections for wheel speed distortions caused by the tire wear in use, and performs an analysis and comparison between the compensated and modified real-time wheel speed and the data from the wheel speed reference database, and makes a real-time tire pressure information indication or warning.

Claims

1. A passenger car tire pressure monitoring system (TPMS) comprising:

a processor, wherein the processor is configured to;

determine a safety condition of a specific tire of the passenger car, based on deviations from a load-dependent tire pressure standard that is configured dynamically based on a real-time load of the specific tire measured by at least one load sensor; and

determine the load-dependent tire pressure standard by looking up a database comprising a plurality of tire pressure standards correlating respectively with a plurality of loads for the specific tire;

an indication device configured to provide at least one of a visual, audio, or heptic indication of the safety condition of the specific tire; and

a plurality of sensors configured to collect data of the tire load;

wherein;

the safety condition comprises a tire deformation limit;

the TPMS is a non-FMVSS138 system; and

the plurality of sensors are disposed at seats of the passenger car to measure occupancy of the passenger car to thereby indirectly measure the tire load data.

2. The system of claim 1, wherein the plurality of sensors are configured to transmit the collected data wirelessly to the processor, or through a data bus to the processor.

3. A computer-implemented passenger car tire safety monitoring method, comprising:

determining a real-time tire load based on a real-time monitoring by at least one load sensor of a specific tire of the passenger car;

determining a dynamic correlation between a real-time tire pressure standard and the determined real-time tire load by looking up a database comprising a plurality of tire pressure standards correlating respectively with a plurality of loads of the specific tire;

providing at least one of a visual, audio, or heptic indication of a tire safety status of the specific tire based on the dynamic correlation; and

collecting, with a plurality of sensors data of the tire load;

wherein;

the safety status comprises a tire deformation limit;

the TPMS is a non-FMVSS138 system; and

the plurality of sensors are disposed at seats of the passenger car to measure occupancy of the passenger car to thereby indirectly measure the tire load data.

4. The method of claim 3, further comprising:

determining the dynamic correlation between the real-time tire pressure standard and the real-time tire load further based on a mathematical relationship.