Aiming at the problem of optimal distribution of braking torque under conventional braking conditions, in order to achieve efficient recovery of braking energy, a braking torque distribution strategy based on particle swarm optimization algorithm was proposed for the electro-hydraulic compound braking system of a pure electric vehicle with dual motor and dual axle drive. According to the structural characteristics of electro-hydraulic compound braking system, models of regenerative braking system and hydraulic braking system are established, aiming at the optimal regenerative braking efficiency, considering the safety requirements of braking regulations and the maximum regenerative braking torque limit, the braking torque distribution problem under conventional braking conditions is transformed into a constrained regenerative braking efficiency optimization problem. Particle swarm optimization algorithm is used to obtain the best braking torque distribution coefficient of front and rear axle, and realize the efficient recovery of braking energy. In this paper, AMESim and Simulink are used to build a co-simulation platform, and the comparative simulation of different torque distribution strategies is carried out under NEDC and WLTC cycle conditions. The results show that the braking energy recovery rates are 63.79% and 61.75%, respectively, which are 5.5% and 7.1% higher than that of the control strategy of equal distribution of regenerative braking torque.
Optimal Torque Distribution Strategy for Electric Vehicles with Electro-Hydraulic Compound Braking System
2023-10-27
5055173 byte
Conference paper
Electronic Resource
English
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