摘要
为了能够进一步提高纯电动汽车制动能量回收的利用率,本文综合考虑了制动动力学与再生制动结构知识,对汽车制动能量回收控制策略进行了优化。利用软件分别建立了模糊控制器、再生制动模块和电动汽车再生制动模型。并将传统的串、并联控制策略与基于模糊控制的制动控制策略进行对比仿真分析。结果表明:与传统的串、并联控制策略相比,模糊控制策略对于制动能量回收环节的优化效果更好,制动转化率分别提高了11.9%、21.2%,制动回收率分别提高了2.78%、4.96%,具有更好的制动能量回收能力,且能够提升整车能量利用水平。
In order to further improve the utilization rate of braking energy recovery of pure electric vehicles, this paper comprehensively considers the knowledge of braking dynamics and regenerative brak-ing structure, and optimizes the control strategy of automobile braking energy recuperation. The fuzzy controller, regenerative braking module and electric vehicle regenerative braking model were established by software. The traditional series and parallel control strategy and the braking control strategy based on fuzzy control are compared and analyzed. The results show that compared with the traditional series and parallel control strategies, the fuzzy control strategy has a better op-timization effect on the braking energy recuperation link, with the braking conversion rate in-creased by 11.9% and 21.2%, and the braking recovery rate increased by 2.78% and 4.96%, re-spectively, which has better braking energy recuperation ability and can improve the energy utili-zation level of the whole vehicle.
出处
《建模与仿真》
2023年第1期212-224,共13页
Modeling and Simulation
