Optimal Torque Allocation for Energy Efficiency Enhancement in In-Wheel Motor Drive Electric Vehicles
محورهای موضوعی : Analytical and Numerical Methods in Mechanical Design
1 - Department of Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
کلید واژه: control allocation, EV, sliding mode control, torque distribution, stability enhancement,
چکیده مقاله :
This paper proposes a multi-level hierarchical control method to enhance the stability of electric vehicles (EVs) equipped with four independent in-wheel motors. At the high level, a sliding mode controller determines the total desired force and yaw moment. At the low level, an optimal energy-efficient control allocation scheme distributes torques among the four in-wheel motors. This research investigates both handling performance and energy efficiency, evaluated through a co-simulation approach using MATLAB/Simulink and CarSim. A torque distribution algorithm, based on energy efficiency optimization, is applied to control the EV during lane change maneuvers, both with and without the proposed controller. Simulation results demonstrate that the proposed torque control system and distribution algorithm effectively maintain vehicle stability, reduce energy consumption, and accurately track the desired yaw rate and longitudinal velocity during these maneuvers.
This paper proposes a multi-level hierarchical control method to enhance the stability of electric vehicles (EVs) equipped with four independent in-wheel motors. At the high level, a sliding mode controller determines the total desired force and yaw moment. At the low level, an optimal energy-efficient control allocation scheme distributes torques among the four in-wheel motors. This research investigates both handling performance and energy efficiency, evaluated through a co-simulation approach using MATLAB/Simulink and CarSim. A torque distribution algorithm, based on energy efficiency optimization, is applied to control the EV during lane change maneuvers, both with and without the proposed controller. Simulation results demonstrate that the proposed torque control system and distribution algorithm effectively maintain vehicle stability, reduce energy consumption, and accurately track the desired yaw rate and longitudinal velocity during these maneuvers.
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