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State of Charge Estimation of Ultracapacitor Modules Based on Improved Sage-Husa Adaptive Unscented Kalman Filter Algorithm

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成果类型:
期刊论文
作者:
Wu, Chuanping;Zhou, Tiannian;Liu, Yu;Shi, Huaze;Feng, Yixuan;...
通讯作者:
Wang, W
作者机构:
[Liu, Yu; Wu, Chuanping; Zhou, Tiannian] Hunan Elect Power Corp Disaster Prevent & Reduct C, Changsha 410007, Peoples R China.
[Shi, Huaze] CHN Energy Hunan Elect Power New Energy Co Ltd, Changsha 410000, Peoples R China.
[Wang, Wen; Feng, Yixuan] Changsha Univ Sci Technol, Sch Elect & Informat Engn, Changsha 410114, Peoples R China.
通讯机构:
[Wang, W ] C
Changsha Univ Sci Technol, Sch Elect & Informat Engn, Changsha 410114, Peoples R China.
语种:
英文
关键词:
Ultracapacitor;State of charge;Adaptive unscented Kalman filter;Sage-Husa;Joint SOC estimation
期刊:
Journal of Electrical Engineering & Technology
ISSN:
1975-0102
年:
2024
页码:
1-14
基金类别:
This work was funded in part by the Science and Technology Project of State Grid Corporation of China under Award 5216A02000DW.
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:
In the field of new energy electric vehicles, ultracapacitor modules are often used as energy storage batteries. Precise estimation of state of charge (SOC) of ultracapacitor modules is critical to the secure operation of vehicle power supply. In this paper, equivalent circuit models and SOC estimation algorithms are compared and analyzed. The forgetting factor recursive least squares (FFRLS) is employed to supply precise equal circuit model parameters for SOC estimation algorithm. On this basis, an improved Sage-Husa adaptive unscented Kalman filter (IAUKF) online SOC estimation algorithm is ...

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