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An Analysis and Optimization of the Battery Capacity Difference Tolerance of the Modular Multi-Level Half-Bridge Energy Storage Converter

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  • Yuhang Pan

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China
    Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China)

  • Qingsong Wang

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China
    Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China)

  • Giuseppe Buja

    (Department of Industrial Engineering, University of Padova, 35131 Padova, Italy)

Abstract

As a power converter of battery energy storage, the multi-level converter and its battery balancing control have received much attention from scholars. This paper focuses on the modular multi-level half-bridge energy storage converter (MMH-ESC), including its topology, working principle, and pulse width modulation (PWM) methods. Under the battery balancing control strategy based on level-shifted carrier PWM (LS-PWM), formulas are derived and calculations are performed to get the charge or discharge of each submodule (SM), thereby obtaining the tolerance for capacity differences among these batteries. A range of battery capacity values that can maintain a balanced state is provided to enhance flexibility in battery configuration and utilization, avoiding the limitation of all batteries to the same capacity. Finally, a new bridge arm modulation wave allocation method is proposed. This method significantly expands the range of SM battery capacity selection and provides a high-tolerance modulation method for the converter under extreme or even fault conditions.

Suggested Citation

  • Yuhang Pan & Qingsong Wang & Giuseppe Buja, 2023. "An Analysis and Optimization of the Battery Capacity Difference Tolerance of the Modular Multi-Level Half-Bridge Energy Storage Converter," Energies, MDPI, vol. 16(23), pages 1-22, November.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7789-:d:1288320
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