This study introduces the model predictive control (MPC) approach to manage the energy consumption of hybrid energy storage systems (HESS) in electric vehicles (EVs). The HESS has supercapacitors (SCs), which function as a backup source to lessen battery stress. The battery serves as the system's primary power source. Therefore, an effective control mechanism is needed to allocate low-frequency power variations to the battery and high-frequency fluctuations to the SC. Traditional PI-based control systems need complex tuning methods and are sensitive to fluctuations in the operating environment. Because of its versatility, simplicity of use, and ability to handle constraints and nonlinearities, an MPC-based control technique is advised. A two-loop control system with predictive inner current management and outer voltage control is developed to control the DC link voltage and manage HESS energy. Furthermore, a bidirectional DC/DC converter with two inputs is modelled. Step adjustments in speed reference are part of the simulation testing that is done using MATLAB Simulink.


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    Titel :

    A Power Management Scheme for Electric Vehicles with Hybrid Energy Storage Systems


    Beteiligte:
    Punna, Srinivas (Autor:in) / Behera, Prasanta (Autor:in) / Lamba, Anoop (Autor:in)


    Erscheinungsdatum :

    31.07.2024


    Format / Umfang :

    409640 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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