Communications - Scientific Letters of the University of Zilina 2021, 23(2):B117-B129 | DOI: 10.26552/com.C.2021.2.B117-B129

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

Angelo Bonfitto ORCID...1, Stefano Feraco ORCID...1, Marco Rossini1, Francesco Carlomagno1
1 Department of Mechanical and Aerospace Engineering - Mechatronics Laboratory, Politecnico di Torino, Torino, Italy

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.

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

Received: May 19, 2020; Accepted: August 10, 2020; Prepublished online: January 26, 2021; Published: April 1, 2021  Show citation

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Bonfitto, A., Feraco, S., Rossini, M., & Carlomagno, F. (2021). Fuzzy Logic Method for the Speed Estimation in All-Wheel Drive Electric Racing Vehicles. Communications - Scientific Letters of the University of Zilina, 23(2), B117-129. doi: 10.26552/com.C.2021.2.B117-B129
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