University of Isfahan Computational Intelligence in Electrical Engineering 2821-0689 14 2 2023 06 22 Stability Control of Front and Rear Wheel Independent Drive Type Electric Vehicle on Roads with Low Friction Coefficient Stability Control of Front and Rear Wheel Independent Drive Type Electric Vehicle on Roads with Low Friction Coefficient 31 46 26954 10.22108/isee.2022.127665.1457 FA Saheb Khanabdal Master Graduate, Dept. of Electrical Engineering, Faculty of Electrical & Computer Engineering, University of Tabriz, Tabriz, Iran Mohammad Bagher Bannae Sharifian Professor, Dept. of Electrical Engineering, Faculty of Electrical & Computer Engineering, University of Tabriz, Tabriz, Iran Mehran Sabahi Associate Professor, Dept. of Electrical Engineering, Faculty of Electrical & Computer Engineering, University of Tabriz, Tabriz, Iran Journal Article 2021 03 07 In recent years, the development of electric vehicles has accelerated. In this manuscript, a new control method is proposed to maintain the stability of the front and rear wheel independent drive type electric vehicle (FRID EV) on the roads with a low friction coefficient. This control method specifies an optimized bound proportionally to the state of the road’s surface for the torque values produced by the front and rear electric motors to prevent the vehicle from slipping. In addition, a fuzzy logic-based braking system is proposed to improve the vehicle performance during decelerating. The vehicle is described by the model with three degrees of freedom that provides good accuracy. The tires are modeled based on the magic formula. To evaluate the effectiveness of the proposed method, simulations have been carried out in MATLAB/SIMULINK software environment. The results show that the proposed control method can well maintain the stability of the electric vehicle on dry and slippery roads, during moving straight, accelerating or decelerating, as well as turning. As a result, the vehicle is prevented from slipping and locking the wheels. In recent years, the development of electric vehicles has accelerated. In this manuscript, a new control method is proposed to maintain the stability of the front and rear wheel independent drive type electric vehicle (FRID EV) on the roads with a low friction coefficient. This control method specifies an optimized bound proportionally to the state of the road’s surface for the torque values produced by the front and rear electric motors to prevent the vehicle from slipping. In addition, a fuzzy logic-based braking system is proposed to improve the vehicle performance during decelerating. The vehicle is described by the model with three degrees of freedom that provides good accuracy. The tires are modeled based on the magic formula. To evaluate the effectiveness of the proposed method, simulations have been carried out in MATLAB/SIMULINK software environment. The results show that the proposed control method can well maintain the stability of the electric vehicle on dry and slippery roads, during moving straight, accelerating or decelerating, as well as turning. As a result, the vehicle is prevented from slipping and locking the wheels. https://isee.ui.ac.ir/article_26954_33de880aca42ca379982b727fc7d6771.pdf