This paper addresses challenges related to the short service life and low efficiency of hybrid energy storage systems. A semiactive hybrid energy storage system with an ultracapacitor and a direct current (DC) bus directly connected in parallel is constructed first, and then related models are established for the lithium-ion battery, system loss, and DC bus. Based on the multiobjective evaluation function, a hybrid energy storage system Model Predictive Control-Differential Evolution (MPC-DE) energy management method is proposed. Experiments were conducted under China Light-Duty Vehicle Test Cycle-Passenger Car (CLTC-P) and Highway Fuel Economy Test (HWFET) driving cycles. The experimental results show that compared with other methods, this strategy can effectively reduce the loss of lithium-ion battery and ultracapacitor hybrid energy storage system and improve the system efficiency.


    Access

    Download


    Export, share and cite



    Title :

    Energy Management Strategy Based on Model Predictive Control-Differential Evolution for Hybrid Energy Storage System in Electric Vehicles


    Contributors:
    Yaohua Tang (author) / Junchao Xie (author) / Yongpeng Shen (author) / Songnan Sun (author) / Yuanfeng Li (author)


    Publication date :

    2024




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Energy Management Strategy for Hybrid Electric Vehicles

    Dedini, Franco Giuseppe / de Souza, Reynaldo Barros | SAE Technical Papers | 2009


    ENERGY MANAGEMENT STRATEGY FOR HYBRID ELECTRIC VEHICLES

    De Souza, R.B. / Dedini, F.G. / Society of Automotive Engineers | British Library Conference Proceedings | 2009




    Optimal Energy Management Strategy for Hybrid Electric Vehicles

    Han, Z. / Yuan, Z. / Guangyu, T. et al. | British Library Conference Proceedings | 2004