Article(id=1322531748840329638, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1322531607177707705, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2026.5.139, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1700582400000, receivedDateStr=2023-11-22, revisedDate=1708012800000, revisedDateStr=2024-02-16, acceptedDate=1709568000000, acceptedDateStr=2024-03-05, onlineDate=1793245740375, onlineDateStr=2026-10-29, pubDate=1780070400000, pubDateStr=2026-05-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793245740375, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793245740375, creator=13701087609, updateTime=1793245740375, updator=13701087609, issue=Issue{id=1322531607177707705, tenantId=1146029695717560320, journalId=1146031654075715584, year='2026', volume='24', issue='5', pageStart='1', pageEnd='348', issueExtLink='null', onlineDate='null', pubDate='1780070400000', pubDateStr='2026-05-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793245706600, creator='13701087609', updateTime=1793245706600, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=139, endPage=148, ext={EN=ArticleExt(id=1322531749205234087, articleId=1322531748840329638, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=SOH Estimation of Partial Charging Data for Lithium Batteries Based on GRU-BP, columnId=1321491614980223555, journalTitle=Journal of Power Supply, columnName=Renewable Energy Generation and Energy Storage, runingTitle=null, highlight=null, articleAbstract=

The initial state of charge (SOC) of the battery is frequently random when users charge the batteries. Therefore, it is difficult to obtain complete charging data of lithium batteries in practical applications. To solve this problem, a state of health (SOH) estimation method of lithium battery based on partial charging data is proposed. Through the established GRU-BP (gated recurrent unit-back propagation) model, a complete charging curve can be obtained from partial charging data. Then the SOH can be estimated by the features extracted from the complete charging curve, which can effectively characterize the aging of battery. This method can achieve SOH estimation under any fixed voltage interval charging data in constant current charging mode. The experimental results show that the proposed method can effectively predict the SOH of lithium batteries with incomplete data, and the estimated root mean square error (RMSE) is below 2%.

, authors=Gengqin ZHONG, Xuemei WANG, Longyun KANG, authorsList=Gengqin ZHONG, Xuemei WANG, Longyun KANG, authorCompany=null, correspAuthors=Xuemei WANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322531749666607530, articleId=1322531748840329638, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=基于GRU-BP的锂电池部分充电数据SOH估计, columnId=1321491615269630533, journalTitle=电源学报, columnName=新能源发电与储能, runingTitle=null, highlight=null, articleAbstract=

电池充电时的初始荷电状态SOC（state of charge）往往是随机的，因此在实际应用中难以得到锂电池完整的充电数据，针对这一问题提出一种基于部分充电数据的锂电池健康状态SOH（state of health）估计方法。通过建立的门控循环单元-反向传播GRU-BP（gated recurrent unit-back propagation）模型，可以由部分充电数据得到完整的充电曲线，然后在完整的充电曲线中提取能够有效表征电池老化程度的特征进行SOH预测。该方法能够实现在恒流充电模式下的任意定长电压区间充电数据下电池的SOH估计。通过实验证明，所提出的模型在数据不完备的情况下能够有效预测锂电池SOH，其估计的均方根误差RMSE（root mean square error）均在2%以下。

, authors=钟耿钦, 王学梅中国电源学会会员, 康龙云中国电源学会会员, authorsList=钟耿钦, 王学梅中国电源学会会员, 康龙云中国电源学会会员, authorCompany=null, correspAuthors=王学梅中国电源学会会员, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=2k/2ssm1c0kcmlu276eA0g==, magXml=Ad9xgI/PDazZes9Z1QmfNQ==, pdfUrl=null, pdf=fzf3fs8YVBQ8zT5gz9kdBA==, pdfFileSize=6668385, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=fsLJOWyw9MC84wyUaEpqsg==, mapNumber=null, fund=null)}, authors=[Author(id=1322531749964403119, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531748840329638, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=202121016536@mail.scut.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1322531750039900593, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531748840329638, authorId=1322531749964403119, language=EN, stringName=Gengqin ZHONG, firstName=Gengqin, middleName=null, lastName=ZHONG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Electric Power Engineering, South China University of Technology, Guangzhou 510000, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322531750132175282, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531748840329638, authorId=1322531749964403119, language=CN, stringName=钟耿钦, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=华南理工大学电力学院，广州　510000, bio={"content":"

钟耿钦（1998—　），男，硕士研究生。研究方向：锂电池健康状态估计。E-mail：202121016536@mail.scut.edu.cn。

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钟耿钦（1998—　），男，硕士研究生。研究方向：锂电池健康状态估计。E-mail：202121016536@mail.scut.edu.cn。

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康龙云（1961—　），男，中国电源学会会员，博士，教授。研究方向：电池储能技术和网逆变技术。E-mail：lykang@scut.edu.cn。

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康龙云（1961—　），男，中国电源学会会员，博士，教授。研究方向：电池储能技术和网逆变技术。E-mail：lykang@scut.edu.cn。

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