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Article

An Open Circuit Voltage Model Fusion Method for State of Charge Estimation of Lithium-Ion Batteries

1
School of Automotive Engineering, Harbin Institute of Technology, Weihai 264209, China
2
National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Academic Editor: Giovanni Lutzemberger
Energies 2021, 14(7), 1797; https://doi.org/10.3390/en14071797
Received: 6 February 2021 / Revised: 7 March 2021 / Accepted: 18 March 2021 / Published: 24 March 2021
The mapping between open circuit voltage (OCV) and state of charge (SOC) is critical to the lithium-ion battery management system (BMS) for electric vehicles. In order to solve the poor accuracy in the local SOC range of most OCV models, an OCV model fusion method for SOC estimation is proposed. According to the characteristics of the experimental OCV–SOC curve, the method divides SOC interval (0, 100%) into several sub-intervals, and respectively fits the OCV curve segments in each sub-interval to obtain a corresponding number of OCV sub-models with local high precision. After that, the OCV sub-models are fused through the continuous weight function to obtain fusional OCV model. Regarding the OCV curve obtained from low-current OCV test as the criterion, the fusional OCV models of LiNiMnCoO2 (NMC) and LiFePO4 (LFP) are compared separately with the conventional OCV models. The comparison shows great fitting accuracy of the fusional OCV model. Furthermore, the adaptive cubature Kalman filter (ACKF) is utilized to estimate SOC and capacity under a dynamic stress test (DST) at different temperatures. The experimental results show that the fusional OCV model can effectively track the performance of the OCV–SOC curve model. View Full-Text
Keywords: electric vehicles; lithium-ion batteries; open circuit voltage; state of charge; model fusion; adaptive cubature Kalman filter electric vehicles; lithium-ion batteries; open circuit voltage; state of charge; model fusion; adaptive cubature Kalman filter
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MDPI and ACS Style

Yu, Q.; Wan, C.; Li, J.; E, L.; Zhang, X.; Huang, Y.; Liu, T. An Open Circuit Voltage Model Fusion Method for State of Charge Estimation of Lithium-Ion Batteries. Energies 2021, 14, 1797. https://doi.org/10.3390/en14071797

AMA Style

Yu Q, Wan C, Li J, E L, Zhang X, Huang Y, Liu T. An Open Circuit Voltage Model Fusion Method for State of Charge Estimation of Lithium-Ion Batteries. Energies. 2021; 14(7):1797. https://doi.org/10.3390/en14071797

Chicago/Turabian Style

Yu, Quanqing, Changjiang Wan, Junfu Li, Lixin E, Xin Zhang, Yonghe Huang, and Tao Liu. 2021. "An Open Circuit Voltage Model Fusion Method for State of Charge Estimation of Lithium-Ion Batteries" Energies 14, no. 7: 1797. https://doi.org/10.3390/en14071797

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