分布式电动客车制动能量回收策略研究

Research on Braking Energy Recovery Strategy of Distributed Electric Bus

随着目前“双碳”目标的提出,电动车辆普及的速度空前绝后,尤其是在城市客车中的应用。解决该问题的一个重要的手段就是设计出合理的制动能量回收策略,尽可能吸收制动时的能量,使得续驶里程增加。文章分别基于模糊控制算法和多目标优化算法设计了两款制动能量回收控制策略。为了验证控制策略的控制能力,搭建了基于TruckSim-Simulink的联合仿真平台,最终结果表明,两款控制策略均能实现制动能量回收,其中多目标优化的控制策略的效果更好。

With the proposal of the current"double carbon"goal,the popularity of electric vehicles is unprecedented,especially in the application of city buses.An important means to solve this problem is to design a reasonable braking energy recovery strategy to absorb the braking energy as much as possible,so as to increase the driving range.In this paper,based on fuzzy control algorithm and multi-objective optimization algorithm,two control strategies for braking energy recovery are designed.To verify the control capability of the control strategy,built a joint simulation platform based on TruckSim-Simulink,the final results show that the two control strategies can achieve brake energy recovery,and the multi-objective optimization control strategy is better.