Adaptive Hierarchical Proportional Coefficient Method for Active SOC Balancing Control with Energy Storage System

  • Kailong Ji
  • , Jiajing Li
  • , Fan Zhang
  • , Ling Li
  • , Pengyu Gao
  • , Mengxi Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1855-1859
Number of pages5
ISBN (Electronic)9798350349030
DOIs
StatePublished - 2024
Event2nd IEEE International Conference on Power Science and Technology, ICPST 2024 - Dali, China
Duration: 9 May 202411 May 2024

Publication series

Name2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024

Conference

Conference2nd IEEE International Conference on Power Science and Technology, ICPST 2024
Country/TerritoryChina
CityDali
Period9/05/2411/05/24

Keywords

  • SOC balancing
  • adaptive hierarchical proportional coefficient method
  • decay rate
  • energy storage system

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