Longitudinal velocity estimation of an electric vehicle usind fuzzy logic as data fusion technique

A longitudinal velocity estimation scheme is analyzed in this paper. Besides, its adaptation for being used in a rear-wheel drive (2WD) Electric Vehicle (EV) is evaluated. The velocity estimation is based on the fusion of the available measurements, which are the vehicle longitudinal acceleration and angular velocities on each wheel. The aim of this analysis is to obtain an accurate longitudinal-velocity estimation based on the knowledge of the weight of credibility that each sensor has at different operations points. Fuzzy logic is used as the information processing tool. In order to validate the strategy, a hybrid simulation platform is used, which involves CarSim software for the vehicle dynamic model simulation and Simulink to implement the data fusion strategy.