Fuzzy Logic Method for the Speed Estimation in All-Wheel Drive Electric Racing Vehicles

Communications

Stefano Feraco¹  Francesco Carlomagno¹  Angelo Bonfitto¹  Marco Rossini¹ 

[1] Department of Mechanical and Aerospace Engineering - Mechatronics Laboratory, Politecnico di Torino, Torino, Italy;

关键词: automotive engineering;    vehicle dynamics;    fuzzy logic;    electric vehicles;    speed estimation;   

DOI  :  10.26552/com.C.2021.2.B117-B129

来源: DOAJ

【 摘 要 】

This paper presents a method for the vehicle speed estimation with a Fuzzy Logic based algorithm. The algorithm acquires the measurements of the yaw rate, steering angle, wheel velocities and exploits a set of five Fuzzy Logics dedicated to different driving conditions. The technique estimates the speed exploiting a weighted average of the contributions provided by the longitudinal acceleration and the credibility assigned by the Fuzzy Logics to the measurements of the wheels' speed. The method is experimentally evaluated on an all-wheel drive electric racing vehicle and is valid for the front and rear wheel drive configurations. The experimental validation is performed by comparing the obtained estimation with the result of computing the speed as the average of the linear velocity of the four wheels. A comparison to the integral of the vehicle acceleration over time is reported.

【 授权许可】

Unknown