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State of charge and state of health estimation strategies for lithium-ion batteries

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成果类型:
期刊论文
作者:
Wang, Nanlan;Xia, Xiangyang;Zeng, Xiaoyong
通讯作者:
Xia, XY
作者机构:
[Wang, Nanlan] Hunan Univ Arts & Sci, Sch Comp & Elect Engn, 3150 Dongting Ave, Changde 415000, Hunan, Peoples R China.
[Wang, Nanlan] Philippine Christian Univ, Ctr Int Educ, Taft Ave, Manila 1004, Philippines.
[Zeng, Xiaoyong; Xia, Xiangyang; Xia, XY] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, 960 Wanjiali South Rd, Changsha 410000, Peoples R China.
通讯机构:
[Xia, XY ] C
Changsha Univ Sci & Technol, Sch Elect & Informat Engn, 960 Wanjiali South Rd, Changsha 410000, Peoples R China.
语种:
英文
关键词:
SOH estimation;SOC estimation;lithium-ion battery
期刊:
INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES
ISSN:
1748-1317
年:
2023
卷:
18
页码:
443-448
基金类别:
CONFLICT OF INTEREST STATEMENT
机构署名:
本校为通讯机构
院系归属:
电气与信息工程学院
摘要:
Due to the widespread use of renewable energy sources, lithium-ion batteries have developed rapidly because renewable energy sources, such as photovoltaics and wind, which are very much affected by the environment and their power output can be better leveled if lithium-ion batteries are used. Battery state of charge (SOC) characterizes the remaining battery power, while battery state of health (SOH) characterizes the battery life state, and they are key parameters to characterize the state of lithium-ion batteries. In terms of battery SOC estimation, this paper optimizes the extended Kalman fi...

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