再生制动器
发动机制动
动态制动
汽车工程
电动汽车
工程类
缓速器
计算机科学
制动器
物理
功率(物理)
量子力学
作者
Qing Cheng,Dawei Pi,Boyuan Xie,Hongliang Wang,Xianhui Wang
摘要
<div class="section abstract"><div class="htmlview paragraph">This paper mainly proposes one type control strategy of the regenerative braking system of an electric commercial vehicle under normal braking condition. With the main goal of recovering as much energy as possible, the braking force distribution strategy based on maximum regenerative braking optimization is studied under the restriction of ECE regulation and state of charge (SOC) of battery. Firstly, the related models of the regenerative braking system and the target vehicle are separately established in MATLAB/Simulink. Then, the distribution strategy of braking force is developed and optimized considering the influence of SOC and vehicle speed respectively. Finally, the braking effects of this control strategy in the typical deceleration process are numerical simulated and analyzed. Simulation results depict that this control strategy can recover more braking energy under the premise of ensuring braking safety and great braking performance compared with the common braking strategies with traditional strategy and without regenerative braking.</div></div>
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