Active DC to DC converter based battery charge balancing systems from renewable energy by using electric vehicle

Citation

Rahman, Tawfikur and Deb, Nibedita and Larguech, Samia and Moniruzzaman, Md. and Md Jizat, Noorlindawaty and Alharbi, Sultan S. and Al-Bawri, Samir Salem (2025) Active DC to DC converter based battery charge balancing systems from renewable energy by using electric vehicle. Energy Reports, 14. pp. 1114-1136. ISSN 2352-4847

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Abstract

The increasing integration of electric vehicles (EVs) with smart grids demands efficient and intelligent battery management systems. This study presents a novel bidirectional DC-DC converter-based active balancing topology that supports dual operational modes for energy exchange between microgrids and EVs. The system incorporates a Combined Discharge and Balancing Circuit (CDBC) and a modular pulse-width modulation (PWM) control strategy to enable dynamic charge redistribution and support both active and reactive balancing. The proposed topology enhances system flexibility, reduces energy losses, and allows real-time voltage and current equalization across multiple battery cells. Numerical simulations conducted in MATLAB/Simulink demonstrate the superiority of the method compared to traditional passive and active balancing approaches. On average, the system achieves higher balancing efficiency and available capacity with reduced balancing time, even under varying cell conditions. This work contributes a scalable and efficient solution for next-generation battery management systems, offering practical relevance for applications in electric mobility, distributed energy storage, and grid-interactive infrastructures. The simulation framework also establishes a strong foundation for future experimental validation and hardware implementation.

Item Type: Article
Uncontrolled Keywords: Battery charge balancing, Active DC-DC converter, State of charge, Battery storage system, Renewable energy, Electric vehicle
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-484 Motor vehicles. Cycles
Divisions: Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 28 Jul 2025 07:50
Last Modified: 30 Jul 2025 20:04
URII: http://shdl.mmu.edu.my/id/eprint/14305

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