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Modeling of temperature characteristics of lithium-ion batteries considering the state dependency and its robust estimation of internal temperature

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成果类型:
期刊论文
作者:
Zeng, Xiaoyong;Chen, Laien;Xia, Xiangyang;Sun, Yaoke;Yue, Jiahui
通讯作者:
Xia, XY
作者机构:
[Chen, Laien; Zeng, Xiaoyong; Xia, Xiangyang; Sun, Yaoke; Xia, XY; Yue, Jiahui] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha 410114, Hunan, Peoples R China.
[Chen, Laien; Zeng, Xiaoyong; Xia, Xiangyang; Sun, Yaoke; Yue, Jiahui] State Key Lab Disaster Prevent & Reduct Power Grid, Changsha 410007, Hunan, Peoples R China.
[Sun, Yaoke] Univ Nevada Las Vegas, 4505 S Maryland Pkwy, Las Vegas, NV 89154 USA.
通讯机构:
[Xia, XY ] C
Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha 410114, Hunan, Peoples R China.
语种:
英文
关键词:
Electric vehicle;Lithium-ion battery;Internal temperature;State-dependent model;Extended Kalman filter
期刊:
Journal of Power Sources
ISSN:
0378-7753
年:
2025
卷:
633
页码:
236432
基金类别:
CRediT authorship contribution statement Xiaoyong Zeng: Writing – original draft, Methodology, Data curation. Laien Chen: Writing – review & editing, Supervision, Methodology, Writing – original draft. Xiangyang Xia: Writing – review & editing, Supervision, acquisition. Yaoke Sun: Writing – review & editing, Supervision. Jiahui Yue: Writing – review & editing, Supervision.
机构署名:
本校为第一且通讯机构
院系归属:
电气与信息工程学院
摘要:
Accurate internal temperature estimation of lithium-ion batteries (LIBs) plays an important role in their safe and economical application. However, the traditional observer estimation method based on linear thermal models cannot accurately describe the nonlinear dynamics of the LIB, and the data-driven estimation approach based on an open loop structure makes it difficult to obtain satisfactory robustness. To bridge this research gap, we construct a state-dependent model to represent the LIB's nonlinear dynamics. The coefficients of this model ...

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