基于多岛遗传算法的纯电动汽车双电机耦合驱动系统控制与优化

IF 0.4 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY International Journal of Electric and Hybrid Vehicles Pub Date : 2021-05-15 DOI:10.1504/IJEHV.2021.10038023
Qingyong Zhang, Luo Yongjun, Weiping Lin, W. Yaru, Wu Xingjian
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引用次数: 2

摘要

为了提高纯电动汽车的续航能力,提高能源利用率是增加里程的有效途径。采用双电机耦合驱动系统的新结构作为动力源,可以有效地提高能源利用率。在新的结构中,通过八种模式的转换来提高能源利用率。本文利用CRUISE建立了纯电动汽车的整车模型,并利用Simulink建立了其控制策略。利用CRUISE和Simulink联合仿真方法验证了模型和控制策略的可靠性。通过多岛遗传算法对控制策略中预设的参数进行优化,使模型、参数和控制策略更加准确,为提高纯电动汽车能源利用率的研究提供了方案。
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Control and optimisation of a dual-motor coupling drive system of pure electric vehicle based on multi-island genetic algorithm
In order to improve the endurance of pure electric vehicles, improving the energy utilisation is an effective way to increase the mileage. Energy utilisation can be effectively improved by using the new structure of dual motor coupling drive system as the power source. In the new structure, the energy utilisation is improved by eight mode switching. In this paper, CRUISE is used to build the vehicle model of pure electric vehicle, its control strategy is established by Simulink. The reliability of the model and control strategy is verified by using CRUISE and Simulink joint simulation method. The preset parameters in the control strategy are optimised by Multi Island Genetic Algorithm, making the model, parameters and control strategy more accurate so as to provide a scheme for the research of improving the energy utilisation rate of pure electric vehicles.
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来源期刊
International Journal of Electric and Hybrid Vehicles
International Journal of Electric and Hybrid Vehicles TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
1.60
自引率
14.30%
发文量
27
期刊介绍: IJEHV provides a high quality, fully refereed international forum in the field of electric and hybrid automotive systems, including in-vehicle electricity production such as hydrogen fuel cells, to describe innovative solutions for the technical challenges enabling these new propulsion technologies.
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