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

Yuhang Pan, Qingsong Wang () and Giuseppe Buja
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Yuhang Pan: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Qingsong Wang: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Giuseppe Buja: Department of Industrial Engineering, University of Padova, 35131 Padova, Italy

Energies, 2023, vol. 16, issue 23, 1-22

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.

Keywords: battery energy storage; multi-level converter; state of charge; balancing control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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