EconPapers    
Economics at your fingertips  
 

Extended Rauch–Tung–Striebel Smoother for the State of Charge Estimation of Lithium-Ion Batteries Based on an Enhanced Circuit Model

Yinfeng Jiang, Wenxiang Song, Hao Zhu, Yun Zhu, Yongzhi Du and Huichun Yin
Additional contact information
Yinfeng Jiang: School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
Wenxiang Song: School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
Hao Zhu: HNU College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
Yun Zhu: Hunan Hong Xun Yi’An New Energy and Technology, Co., Ltd., Zhuzhou 412007, China
Yongzhi Du: Hunan Hong Xun Yi’An New Energy and Technology, Co., Ltd., Zhuzhou 412007, China
Huichun Yin: Hunan Hong Xun Yi’An New Energy and Technology, Co., Ltd., Zhuzhou 412007, China

Energies, 2022, vol. 15, issue 3, 1-17

Abstract: The state of charge (SOC) of a lithium battery system is critical since it indicates the remaining operating hours, full charge time, and peak power of the battery. This paper recommends an extended Rauch–Tung–Striebel smoother (ERTSS) for estimating SOC. It is implemented based on an improved equivalent circuit model with hysteresis voltage. The smoothing step of ERTSS will reduce the estimation error further. Additionally, the genetic algorithm (GA) is employed for searching the optimal ERTSS’s smoothing time interval. Various dynamic cell tests are conducted to verify the model’s accuracy and error estimation deviation. The test results demonstrate that ERTSS’s SOC estimation error is limited to 4 % with an initial error between −25 ∘ C and 45 ∘ C and that the root mean square error (RMSE) of ERTSS’s SOC estimation is approximately 5% lower than that of extended Kalman filter (EKF). The ERTSS improves the SOC estimation accuracy at all operating temperatures of batteries.

Keywords: state of charge; lithium-ion battery; extended Kalman filter; extended Rauch–Tung–Striebel smoother; equivalent circuit model; parameter identification (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/3/963/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/3/963/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:3:p:963-:d:736744

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:963-:d:736744