Qingyong Zhang, Luo Yongjun, Weiping Lin, W. Yaru, Wu Xingjian
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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.
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.