Active battery cell equalization based on residual available energy maximization

dc.contributor.author Weiping Diao
dc.contributor.author Nan Xue
dc.contributor.author Vikram Bhattacharjee
dc.contributor.author Jiuchun Jiang
dc.contributor.author Orkun Karabasoglu
dc.contributor.author Michael G. Pecht
dc.date.accessioned 2025-10-06T17:51:44Z
dc.date.issued 2018
dc.description.abstract The residual available energy (RAE) of a battery pack is an important parameter for determination of the amount of energy left in the battery pack. The RAE is defined as a function of the cell's initial state of charge (SOC) discharge current cell capacity and internal resistance. Battery management systems achieve active equalization through balancing either the SOC or the terminal voltage of battery packs. Recent research discovered that these equalization schemes cannot maximize RAE of the battery pack due to the variation of internal resistances and capacities of the cells in the pack. On the other hand terminal voltage equalization is not applicable for batteries having a flat SOC-open-circuit voltage curve. This paper introduces the framework to calculate the RAE of a battery pack incorporating the variation of internal resistance and capacity of the individual cells in a pack. It further proposes a novel active battery cell equalization technique based on an RAE maximization scheme. The effectiveness of the proposed equalization scheme is validated through experimental results with a comparison of the energy utilization efficiency. The solution methodology and the results are discussed in the paper. © 2020 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1016/j.apenergy.2017.07.137
dc.identifier.issn 18729118, 03062619
dc.identifier.issn 0306-2619
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027674934&doi=10.1016%2Fj.apenergy.2017.07.137&partnerID=40&md5=52f402802cc27e9863a58e4f3c1c7c2b
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9584
dc.language.iso English
dc.publisher Elsevier Ltd
dc.relation.ispartof Applied Energy
dc.source Applied Energy
dc.subject Active Equalization, Capacity, Discharge Current, Internal Resistance, Residual Available Energy, Soc, Battery Pack, Charging (batteries), Energy Utilization, Equalizers, Open Circuit Voltage, System-on-chip, Active Equalization, Available Energy, Capacity, Discharge Currents, Internal Resistance, Battery Management Systems, Detection Method, Energy Budget, Energy Efficiency, Equipment, Experimental Study, Methodology
dc.subject Battery Pack, Charging (batteries), Energy utilization, Equalizers, Open circuit voltage, System-on-chip, Active equalization, Available energy, Capacity, Discharge currents, Internal resistance, Battery management systems, detection method, energy budget, energy efficiency, equipment, experimental study, methodology
dc.title Active battery cell equalization based on residual available energy maximization
dc.type Article
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gdc.description.endpage 698
gdc.description.startpage 690
gdc.description.volume 210
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gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 89
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oaire.citation.endPage 698
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person.identifier.scopus-author-id Diao- Weiping (56252668700), Xue- Nan (57206165558), Bhattacharjee- Vikram (57195396835), Jiang- Jiuchun (57193360422), Karabasoglu- Orkun (35102602500), Pecht- Michael G. (7102777145)
project.funder.name This work was supported by the Major National Research and Development Projects [Grant No. 2016YFB0101900 ]. The authors would like to acknowledge the support of Dr. Leyi Wang at Wayne State University and Dr. Caiping Zhang at Beijing Jiaotong University for their advice and guidance. The authors would also like to thank Mr. Yan Jiang a Ph.D student at Beijing Jiaotong University for providing the parameter data for the paper.
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