A novel energy management strategy for the ternary lithium batteries based on the dynamic equivalent circuit modeling and differential Kalman filtering under time-varying conditions.

Wang, Shunli; Stroe, Daniel-Ioan; Fernandez, Carlos; Yu, Chunmei; Zou, Chuanyun; Li, Xiaoxia

Abstract

The dynamic model of the ternary lithium battery is a time-varying nonlinear system due to the polarization and diffusion effects inside the battery in its charge-discharge process. Based on the comprehensive analysis of the energy management methods, the state of charge is estimated by introducing the differential Kalman filtering method combined with the dynamic equivalent circuit model considering the nonlinear temperature coefficient. The model simulates the transient response with high precision which is suitable for its high current and complicated charging and discharging conditions. In order to better reflect the dynamic characteristics of the power ternary lithium battery in the step-type charging and discharging conditions, the polarization circuit of the model is differential and the improved iterate calculation model is obtained. As can be known from the experimental verifications, the maximize state of charge estimation error is only 0.022 under the time-varying complex working conditions and the output voltage is monitored simultaneously with the maximum error of 0.08 V and the average error of 0.04 V. The established model can describe the dynamic battery behavior effectively, which can estimate its state of charge value with considerably high precision, providing an effective energy management strategy for the ternary lithium batteries.

Citation

WANG, S., STROE, D.-I., FERNANDEZ, C., YU, C., ZOU, C. and LI, X. 2020. A novel energy management strategy for the ternary lithium batteries based on the dynamic equivalent circuit modeling and differential Kalman filtering under time-varying conditions. Journal of power sources [online], 450, article ID 227652. Available from: https://doi.org/10.1016/j.jpowsour.2019.227652

• Journal Article Type: Article
• Acceptance Date: Dec 20, 2019
• Online Publication Date: Jan 5, 2020
• Publication Date: Feb 29, 2020
• Deposit Date: Jan 9, 2020
• Publicly Available Date: Jan 6, 2021
• Journal: Journal of power sources
• Print ISSN: 0378-7753
• Electronic ISSN: 1873-2755
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 450
• Article Number: 227652
• DOI: https://doi.org/10.1016/j.jpowsour.2019.227652
• Keywords: Ternary lithium battery; Dynamic equivalent circuit modeling; Differential Kalman filtering; State of charge estimation; Parameter acquisition; Nonlinear classification
• Public URL: https://rgu-repository.worktribe.com/output/823172