基于改进NSGA-Ⅱ算法的纯电动汽车机电复合制动控制策略研究

摘要

In order to make that the electric vehicle can meet the requirements of braking safety and sufficient energy recovery in braking process,and maintain a certain braking comfort level,an optimal front-end individual coefficient is introduced to im-prove the multi-objective genetic algorithm based on non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ). The solution set screening module is applied to the design of braking controller,and embedded into ADVISOR for simulation test. The experi-mental results show that the control strategy can ensure the sufficient braking safety,and its energy recovery efficiency and braking comfort level are improved than those of control strategy based on standard NSGA-Ⅱ algorithm.%为了使纯电动汽车在制动过程中满足制动安全和充分回收制动能量的需求以及保持一定的制动舒适度,引入最优前端个体系数对NSGA-Ⅱ多目标遗传优化算法进行改进,并将解集筛选模块应用到制动控制器的设计中,随后嵌入到ADVISOR中进行仿真测试.实验结果表明,提出的控制策略可以有效保证足够的制动安全性,在能量回收效率和制动舒适性方面较标准的NSGA-Ⅱ算法优化的控制策略均有提高.