This paper presents a new Equivalent Consumption Minimum Strategy (ECMS), combing with Particle Swarm Optimization (PSO) to optimize oil-electric equivalent factor. First, a dual-motor planetary coupling plug-in hybrid vehicle (PHEV) is selected as a platform to optimize the fuel consumption. Considering the coupling mechanism between multiple power sources, an Adaptive Equivalent Fuel Consumption Minimum Strategy (A-ECMS) is established. Moreover, this paper further considers the influence of initial SOC and driving mileage on the equivalent factor, and optimizes the equivalent factor by Particle Swarm Optimization. Finally, ECMS optimized by Particle Swarm Optimization (PSO-ECMS) is established. The simulation result of ECMS and A-ECMS are contrasted to the outcome of PSO-ECMS, fuel consumption per 100 km decreased by 6.5 and 3.4% respectively, which demonstrating the effectiveness of the proposed methodology.


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    Title :

    Fuel Consumption Optimization for Dual-Motor Planetary Coupling PHEV Based on Adaptive Multi-target Compensation Factor


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liang, Cong (author) / Xu, Xing (author) / Wang, Feng (author) / Zhou, Zhiguang (author)


    Publication date :

    2020-11-05


    Size :

    14 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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