A vehicle load identification system based on speed identification

Abstract

This paper introduces a vehicle speed recognition system and a fuzzy inference system based on driving conditions. This system can use the vehicle dynamics principle to non-contactly measure vehicle load. And based on the vehicle speed-time series, the optimal estimation method is adopted, and the vehicle weight is estimated according to some unusual operating points or operating intervals. The analysis results show that the system has certain reliability and convergence for vehicle load measurement, and has definite practical value.