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Study on Regenerative Braking Control Strategy for Extended Range Electric Vehicles

机译:扩展范围电动车的再生制动控制策略研究

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Aiming at the problem of regenerative braking energy recovery control for extended range electric vehicles, a front-rear braking force distribution strategy that maximizes braking energy recovery is proposed on the premise of ensuring vehicle braking stability and safety in this paper; then a regenerative braking energy recovery strategy based on fuzzy control is designed. In addition, the membership function of the fuzzy controller is optimized by particle swarm optimization with taking the braking energy recovery rate as the target. Finally, a quasi-static model of the whole vehicle simulation is established on the Simulink-Cruise joint simulation platform, and the simulation is performed under the NEDC, FTP72 and Ja1015 operating conditions. The simulation results show that the designed regenerative braking energy recovery control strategy has an energy recovery rate of 53.5%, 43.9% and 56.1% in the above three operating conditions, and the battery charging power does not exceed the maximum charging power in the extended range mode, proving a good control performance.
机译:针对延伸范围电动车的再生制动能量回收控制的问题,提出了最大化制动能量回收的前后制动力分布策略,以确保车辆制动稳定性和本文安全的前提;然后设计了基于模糊控制的再生制动能量回收策略。此外,模糊控制器的隶属函数通过粒子群优化优化,以使制动能量回收率作为目标。最后,在Simulink-Cruise联合仿真平台上建立了全车仿真的准静态模型,并在NEDC,FTP72和JA1015操作条件下进行了模拟。仿真结果表明,在上述三种操作条件下,设计的再生制动能量回收控制策略的能量回收率为53.5%,43.9%和56.1%,电池充电电源不超过延伸范围内的最大充电电源模式,证明了良好的控制性能。

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