Sliding Mode Observer for State-of-Charge Estimation Using Hysteresis-Based Li-Ion Battery Model

Mengying Chen, Fengling Han, Long Shi, Yong Feng, Chen Xue, Weijie Gao and Jinzheng Xu
Additional contact information
Mengying Chen: School of Computing Technologies, RMIT University, Melbourne, VIC 3000, Australia
Fengling Han: School of Computing Technologies, RMIT University, Melbourne, VIC 3000, Australia
Long Shi: School of Engineering, RMIT University, Melbourne, VIC 3000, Australia
Yong Feng: School of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Chen Xue: School of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Weijie Gao: Beijing Intell-Sun Technology Limited, Beijing 100012, China
Jinzheng Xu: Research and Development Center, Anhui Huasun Energy Co., Ltd., Xuancheng 242000, China

Energies, 2022, vol. 15, issue 7, 1-14

Abstract: Lithium-ion battery devices are essential for energy storage and supply in distributed energy generation systems. Robust battery management systems (BMSs) must guarantee that batteries work within a safe range and avoid the damage caused by overcharge and overdischarge. The state-of-charge (SoC) of Li-ion batteries is difficult to observe after batteries are manufactured. The hysteresis phenomenon influences the existing battery modeling and SoC estimation accuracy. This research applies a terminal sliding mode observer (TSMO) algorithm based on a hysteresis resistor-capacitor (RC) equivalent circuit model to enable accurate SoC estimation. The proposed method is evaluated using two dynamic battery tests: the dynamic street test (DST) and the federal urban driving schedule (FUDS) test. The simulation results show that the proposed method achieved high estimation accuracy and fast response speed. Additionally, real-time battery information, including battery output voltage and SoC, was acquired and displayed by an automatic monitoring system. The designed system is valuable for all battery application cases.

Keywords: Lithium-ion battery; hysteresis; state-of-charge (SoC) estimation; terminal sliding mode observer; automatic monitoring system; Internet of Things (IoT) (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/1996-1073/15/7/2658/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/7/2658/ (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:7:p:2658-:d:787343

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 ().