Energy Management Strategy of Plug-in Hybrid Electric Vehicle with Engine Start and Stop Optimization

被引:0
|
作者
Chen, Long [1 ]
Chen, Zhixing [1 ]
Xu, Xing [1 ]
Wang, Feng [1 ]
Cai, Yingfeng [1 ]
Zhang, Tao [2 ]
机构
[1] Automotive Engineering Research Institute, Jiangsu University, Zhenjiang,212013, China
[2] Bosch Innovation and Software Development Co., Ltd., Wuxi,214000, China
来源
关键词
Energy management - Fuels - Vehicle transmissions - Fuel economy;
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学科分类号
摘要
In order to solve the problem of fuel consumption increase of the engine in a new type of dual motors planetary coupling PHEV under start-and-stop and idle conditions, based on the minimum energy management strategy of equivalent fuel consumption, an optimization module of engine start-and-stop control is added to improve the fuel economy of the vehicle. The whole vehicle dynamics and transmission model is established, and the engine start-and-stop optimization control module is added to redistribute the optimal target torque distribution of the engine and motor output by the ECMS energy management strategy, which is then output to the engine and motor controller to control their working state. Particle swarm optimization algorithm is used to optimize the key time parameters which affect the frequency in the optimal control of start and stop. The simulation results show that the proposed energy management optimization strategy can effectively control the start-and-stop or idle state of the engine, reduce the start-and-stop frequency of the engine, and reduce fuel consumption, which verifies that the proposed energy management optimization strategy can further optimize the vehicle fuel economy. © 2021, Society of Automotive Engineers of China. All right reserved.
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页码:313 / 322
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