TY - JOUR
T1 - 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
AU - Wang, Shun-Li
AU - Stroe, Daniel-Ioan
AU - Fernandez, Carlos
AU - Yu, Chunmei
AU - Zou, Chuanyuan
AU - Li, Xiaoxia
PY - 2020/2
Y1 - 2020/2
N2 - 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.
AB - 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.
KW - Ternanry lithium battery
KW - Dynamic equivalent circuit modeling
KW - Differential Kalman filtering
KW - State of charge estimation
KW - Parameter acquisition
KW - Nonlinear classification
KW - Ternary lithium battery
UR - http://www.scopus.com/inward/record.url?scp=85078080515&partnerID=8YFLogxK
U2 - 10.1016/j.jpowsour.2019.227652
DO - 10.1016/j.jpowsour.2019.227652
M3 - Journal article
SN - 0378-7753
VL - 450
JO - Journal of Power Sources
JF - Journal of Power Sources
M1 - 227652
ER -