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

被引:52
作者
Wang, Shunli [1 ]
Stroe, Daniel-Ioan [2 ]
Fernandez, Carlos [3 ]
Yu, Chunmei [1 ]
Zou, Chuanyun [1 ]
Li, Xiaoxia [1 ]
机构
[1] Southwest Univ Sci & Technol, Sch Informat Engn, Mianyang 621010, Sichuan, Peoples R China
[2] Aalborg Univ, Dept Energy Technol, Pontoppidanstr 111, DK-9220 Aalborg, Denmark
[3] Robert Gordon Univ, Sch Pharm & Life Sci, Aberdeen AB10 7GJ, Scotland
基金
中国国家自然科学基金;
关键词
Ternary lithium battery; Dynamic equivalent circuit modeling; Differential Kalman filtering; State of charge estimation; Parameter acquisition; Nonlinear classification; STATE-OF-CHARGE; REDOX FLOW BATTERIES; ION BATTERY; HEALTH ESTIMATION; NEURAL-NETWORK; DEGRADATION; SYSTEM; TEMPERATURE; PREDICTION; VEHICLES;
D O I
10.1016/j.jpowsour.2019.227652
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
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.
引用
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页数:14
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