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Design and optimization of driving mode control strategies for front-and-rear-axle-independent-drive-type electric vehicle
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering ( IF 1.7 ) Pub Date : 2024-03-04 , DOI: 10.1177/09544070241232179
Li-hua Ye 1 , Cheng-long Ke 1 , Ye-fan Shi 2 , Hou-zhong Zhang 1 , Xing Cheng 1 , Zi-xing Zhang 1 , Ai-ping Shi 1
Affiliation  

In order to fully exploit the energy-saving advantages of front-and-rear-axle-independent-drive-type electric vehicle (FRID EV) configuration, this paper designs a drive mode control strategy for it. Based on the characteristics of the drive system with FRID EV, this paper categorizes the drive modes into three, and creates a mathematical model to determine the operating range. Then, an improved particle swarm optimization algorithm is used to optimize the torque distribution based on the principle of system efficiency optimality, so as to develop the optimal drive mode switching control strategy after torque optimization. Finally, the whole vehicle model is built in Cruise for joint simulation with MATLAB /Simulink. Results of the simulation indicate that the drive control strategy with improved particle swarm optimization can effectively improve the energy efficiency of the drive system and boost the vehicle economy, when compared to both the simple two-motor torque equalization strategy and the standard particle swarm optimization strategy.

中文翻译:

前后轴独立驱动型电动汽车驱动模式控制策略设计与优化

为了充分发挥前后轴独立驱动型电动汽车(FRID EV)配置的节能优势,本文设计了一种驱动模式控制策略。本文根据FRID EV驱动系统的特点,将驱动模式分为三种,并建立数学模型来确定运行范围。然后,基于系统效率最优原则,采用改进的粒子群优化算法对扭矩分配进行优化,从而制定扭矩优化后的最优驱动模式切换控制策略。最后在Cruise中建立整车模型并与MATLAB/Simulink进行联合仿真。仿真结果表明,与简单的双电机扭矩均衡策略和标准粒子群优化策略相比,改进粒子群优化的驱动控制策略能够有效提高驱动系统的能量效率,提高车辆的经济性。
更新日期:2024-03-04
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