Fuzzy system based vehicle health monitoring and performance calibration

Presently vehicles have low emphasis on showing the performance of the components including mileage, engine quality and battery quality. It has level indicators for fuel quantity and odometer for distance travelled for a particular trip. In order to improve the monitoring of the vehicle health, a Fuzzy based system is proposed which provides suggestions for calibration. It employs sensors and IoT to derive engine quality and battery quality adopting a Fuzzy inference system. Based on the current performance, various suggestions are given to improve and calibrate the vehicle so that components work effectively and efficiently for a longer period of time. The proposed vehicle monitoring system will provide information on engine health, battery health and gas emission along with exact fuel quantity, battery voltage, mileage and hydrocarbons emitted by engine. These information are provided to the users in real time using an Android App.