Enhanced Fuzzy-MFC-based Traction Control System for Electric Vehicles

被引：0

作者：

Nguyen, Nam T. ^{[1
]}

Ta, Minh C. ^{[1
,2
]}

Thanh Vo-Duy ^{[1
]}

Ivanov, Valentin ^{[3
]}

机构：

[1] Hanoi Univ Sci & Technol, Control Tech & Innovat Lab Elect Vehicles, Sch Elect & Elect Engn, Hanoi, Vietnam

[2] Univ Sherbrooke, E TESC Lab, Sherbrooke, PQ, Canada

[3] Tech Univ Ilmenau, Ilmenau, Germany

来源：

2023 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VPPC | 2023年

关键词：

Electric vehicle; traction control system; antislip; controller; fuzzy controller; LOCK BRAKING SYSTEM; DESIGN; MODEL;

D O I：

10.1109/VPPC60535.2023.10403162

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Modern vehicles require the installation of motion control systems to ensure driving safety. In electric vehicles, these systems are convenient to be developed and applied due to the better response of the electric motor compared to the internal combustion engine. Therefore, the development of traction control systems for electric vehicles is of great interest to many researchers. In this study, a wheel slip control algorithm for electric vehicles is proposed by considering the vehicle as an equivalent inertial system. Based on the monotonicity of the algorithm, a fuzzy controller is also incorporated in the study so that the wheel slip control can adapt to the actual road conditions. Its performance is verified by comparative simulations with baseline anti-slip methods for different road conditions and vehicle velocities.

引用

页数：6

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