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SOC Balancing Control Strategy for Multiple Storage Units Based on Battery Life Degradation Characteristics.

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Title: SOC Balancing Control Strategy for Multiple Storage Units Based on Battery Life Degradation Characteristics.
Authors: Chen, Guiquan1 (AUTHOR), Xia, Xiangyang1,2 (AUTHOR) xia_xy@csust.edu.cn, Lu, Dan1,3 (AUTHOR), Ouyang, Ting1,2 (AUTHOR), Zhao, Xiaoyue1,2 (AUTHOR), Wang, Nanlan3 (AUTHOR), Liu, Naitong1 (AUTHOR), Luo, Xianliang1 (AUTHOR), Luo, Yichong1 (AUTHOR)
Source: Energies (19961073). Sep2025, Vol. 18 Issue 17, p4577. 19p.
Subjects: Energy storage, Service life, Energy transfer, Mathematical optimization, Power resources management
Abstract: To resolve the issue of state of charge (SOC) inconsistency among energy storage units under traditional equal-power allocation strategies, this paper proposes a multi-unit SOC balancing control strategy based on battery life degradation characteristics. Prior to system operation, the proposed strategy optimizes power distribution according to each unit's state of health (SOH) and predefined depth of discharge (DOD), ensuring SOC balance at the end of each charge–discharge cycle. Simulation and experimental results demonstrate that, compared with traditional equal-power distribution control, the proposed strategy significantly improves capacity utilization and extends the overall system lifetime. For instance, in Simulation Scenario 1, the available capacity per cycle is increased by 8.14%, and the overall system lifetime is prolonged by 11.04%. Furthermore, the strategy eliminates the need for dynamic power redistribution, thus reducing communication overheads and effectively meeting engineering requirements for SOC balancing. This research provides valuable insights for the safe and economical operation of energy storage power stations. [ABSTRACT FROM AUTHOR]
Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 187981429
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  Data: SOC Balancing Control Strategy for Multiple Storage Units Based on Battery Life Degradation Characteristics.
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  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Guiquan%22">Chen, Guiquan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xia%2C+Xiangyang%22">Xia, Xiangyang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> xia_xy@csust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Lu%2C+Dan%22">Lu, Dan</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ouyang%2C+Ting%22">Ouyang, Ting</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Xiaoyue%22">Zhao, Xiaoyue</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Nanlan%22">Wang, Nanlan</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Naitong%22">Liu, Naitong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luo%2C+Xianliang%22">Luo, Xianliang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luo%2C+Yichong%22">Luo, Yichong</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Sep2025, Vol. 18 Issue 17, p4577. 19p.
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  Data: <searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink><br /><searchLink fieldCode="DE" term="%22Service+life%22">Service life</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+transfer%22">Energy transfer</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Power+resources+management%22">Power resources management</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: To resolve the issue of state of charge (SOC) inconsistency among energy storage units under traditional equal-power allocation strategies, this paper proposes a multi-unit SOC balancing control strategy based on battery life degradation characteristics. Prior to system operation, the proposed strategy optimizes power distribution according to each unit's state of health (SOH) and predefined depth of discharge (DOD), ensuring SOC balance at the end of each charge–discharge cycle. Simulation and experimental results demonstrate that, compared with traditional equal-power distribution control, the proposed strategy significantly improves capacity utilization and extends the overall system lifetime. For instance, in Simulation Scenario 1, the available capacity per cycle is increased by 8.14%, and the overall system lifetime is prolonged by 11.04%. Furthermore, the strategy eliminates the need for dynamic power redistribution, thus reducing communication overheads and effectively meeting engineering requirements for SOC balancing. This research provides valuable insights for the safe and economical operation of energy storage power stations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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        Type: general
      – SubjectFull: Service life
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      – SubjectFull: Energy transfer
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      – SubjectFull: Mathematical optimization
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      – SubjectFull: Power resources management
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      – TitleFull: SOC Balancing Control Strategy for Multiple Storage Units Based on Battery Life Degradation Characteristics.
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            – D: 01
              M: 09
              Text: Sep2025
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              Y: 2025
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