汽车工程 ›› 2018, Vol. 40 ›› Issue (7): 757-.doi: 10.19562/j.chinasae.qcgc.2018.07.002

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增程式电动汽车最优曲线模糊控制策略研究

牛继高,牛丹彤,徐春华,裴冯来   

  • 出版日期:2018-07-25 发布日期:2018-07-25

A Research on Optimal Curve Fuzzy Control Strategy for ExtendedRange Electric Vehicles

Niu Jigao, Niu Dantong, Xu Chunhua & Pei Fenglai   

  • Online:2018-07-25 Published:2018-07-25

摘要: 针对增程式电动汽车多动力源的能量分配和车辆行驶工况具有较大随机性和不确定性的问题,提出了一种增程式电动汽车最优曲线模糊控制策略。该策略包含两个子模糊控制器,分别施行发动机工作区间的模糊调整和串联功率的模糊分配,以决定发动机最优曲线上的工作区间和串联结构形式下发动机/发电机和动力电池输出功率的分配。离线硬件在环仿真结果表明,所采用的控制策略通用性强且具有较好的鲁棒性,能实现预设的控制目标,获得较优的燃油经济性。

关键词: 增程式电动汽车, 双模糊控制器, 燃油经济性, 硬件在环, 仿真试验, 增程式电动汽车, 双模糊控制器, 燃油经济性, 硬件在环仿真

Abstract: In view of the energy assignment of multipower sources and the randomness and uncertainty of real vehicle driving conditions in an extendedrange electric vehicle, an optimal curve fuzzy control strategy is put forward. The strategy includes two fuzzy subcontrollers to perform the fuzzy adjustment of engine operation region and the fuzzy assignment of series power, for deciding the working interval on the optimal curve of engine and the output power assignment between engine/generator and traction battery respectively in series powertrain configuration. The results of offline HIL simulation indicate that the control strategy adopted has a high generality and good robustness and can achieve the preset control objectives with a better fuel economy.

Key words: extended-range electric vehicle, dual fuzzy controller, fuel economy, hardware-in-the-loop, simulation experiment, extendedrange electric vehicle, dual fuzzy controllers, fuel economy, hardwareintheloop simulation