TY - GEN
T1 - Adaptive Hierarchical Proportional Coefficient Method for Active SOC Balancing Control with Energy Storage System
AU - Ji, Kailong
AU - Li, Jiajing
AU - Zhang, Fan
AU - Li, Ling
AU - Gao, Pengyu
AU - Zhang, Mengxi
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Energy storage systems have the advantages of balancing grid load, regulating power fluctuations, emergency standby, and supporting renewable energy integration. Battery packs in energy storage systems are inevitably accompanied by SOC inconsistency, which changes the battery aging and decay rate, causing abnormal service life decay and possible thermal runaway problems. In order to achieve rapid and active SOC balance between different energy storage units, an adaptive hierarchical proportional coefficient algorithm is proposed. In a limited adjustment range, the relative power and rate control of SOC differences accelerates SOC balance. The interleaved parallel bidirectional DC-DC topology provides a bidirectional flow path of energy to achieve active dynamic balance in charging and discharging modes. Finally, simulation analysis is conducted to verify the correctness of the proposed control strategy.
AB - Energy storage systems have the advantages of balancing grid load, regulating power fluctuations, emergency standby, and supporting renewable energy integration. Battery packs in energy storage systems are inevitably accompanied by SOC inconsistency, which changes the battery aging and decay rate, causing abnormal service life decay and possible thermal runaway problems. In order to achieve rapid and active SOC balance between different energy storage units, an adaptive hierarchical proportional coefficient algorithm is proposed. In a limited adjustment range, the relative power and rate control of SOC differences accelerates SOC balance. The interleaved parallel bidirectional DC-DC topology provides a bidirectional flow path of energy to achieve active dynamic balance in charging and discharging modes. Finally, simulation analysis is conducted to verify the correctness of the proposed control strategy.
KW - SOC balancing
KW - adaptive hierarchical proportional coefficient method
KW - decay rate
KW - energy storage system
UR - https://www.scopus.com/pages/publications/85200708369
U2 - 10.1109/ICPST61417.2024.10602162
DO - 10.1109/ICPST61417.2024.10602162
M3 - 会议稿件
AN - SCOPUS:85200708369
T3 - 2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024
SP - 1855
EP - 1859
BT - 2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Power Science and Technology, ICPST 2024
Y2 - 9 May 2024 through 11 May 2024
ER -