Model tire pressure sensor ID learning method using fuzzy logic
Adnan Shaout, Victoria Yanez · 2017
A common maintenance process that is usually done in the automobile is change of a flat tire. In the case the vehicle is equipped with a direct tire pressure monitor system (TPMS), the sensor should be also replaced if it is damaged. The module that receives the tire pressure data needs to update the registered sensor IDs with the new sensor ID fitted in the vehicle. This can be done manually through a diagnostic tool that communicates with the module. Also, there are some systems that have the capability of auto-learning sensor IDs without using any external tool. To auto learn sensor Ids, classic algorithm approaches has been defined based on experience. For this paper the method of auto-learning sensor IDs using Fuzzy logic will be modeled. A four tires configuration system would be modeled with four rotating sensors.