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
收藏
页数：6
相关论文
共 50 条
  • [21] Optimisation of braking energy recovery for rear-drive electric vehicles based on fuzzy control
    Ye, Li
    Wu, Zhihao
    Lv, Wenjing
    INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2023, 92 (2-4) : 93 - 112
  • [22] Regenerative Braking Control Strategy for Electric Vehicles Based on Optimization of Switched Reluctance Generator Drive System
    Zhu, Yueying
    Wu, Hao
    Zhang, Junxia
    IEEE ACCESS, 2020, 8 : 76671 - 76682
  • [23] Fuzzy logic torque control system in four-wheel-drive electric vehicles for active damping vibration control
    Song, Ziyou
    Li, Jianqiu
    Shuai, Zhibin
    Xu, Liangfei
    Ouyang, Minggao
    INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2015, 68 (1-3) : 55 - 80
  • [24] PID PLUS FUZZY LOGIC METHOD FOR TORQUE CONTROL IN TRACTION CONTROL SYSTEM
    Li, H. -Z.
    Li, L.
    He, L.
    Kang, M. -X.
    Song, J.
    Yu, L. -Y.
    Wu, C.
    INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2012, 13 (03) : 441 - 450
  • [25] Novel control implementation for electric vehicles based on fuzzy -back stepping approach
    Sellali, M.
    Betka, A.
    Drid, S.
    Djerdir, A.
    Allaoui, L.
    Tiar, M.
    ENERGY, 2019, 178 : 644 - 655
  • [26] Nonlinear Control of Salient-Pole PMSM for Electric Vehicles Traction
    El Idrissi, Z.
    El Fadil, H.
    Giri, F.
    2018 19TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE (IEEE MELECON'18), 2018, : 231 - 236
  • [27] A fuzzy control system for the direct yaw moment of 4WD electric vehicles
    Xu, Jian
    Zhang, Zheng
    Li, Xiang
    Yin, Weiping
    Xu, Song
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2014, 48 (07): : 83 - 89
  • [28] Research of Parameter Self-learning Fuzzy Control Strategy in motor control system for Electric Vehicles
    Zhang Jian
    Wen Xuhui
    Zeng Li
    2009 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1-3, 2009, : 844 - +
  • [29] Fuzzy Sliding Mode Control for Logitudinal Motion of Underground Mining Electric Vehicles
    Ye, Wenjie
    Shen, Weixiang
    Zheng, Jinchuan
    Honnery, Demon
    Dayawansa, Daya
    PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, 2015, : 1431 - 1436
  • [30] Analysis of Sensorless Traction Control System for Electric Vehicle
    Montonen, Jan-Henri
    Lindh, Tuomo
    2014 16TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'14-ECCE EUROPE), 2014,
12345