DocumentCode :
3708867
Title :
A New Method of State of Peak Power Capability Prediction for Li-Ion Battery
Author :
Xiaoyu Li;Jinlei Sun;Zehui Hu;Rengui Lu;Chunbo Zhu;Guoliang Wu
Author_Institution :
Sch. of Electr. Eng. &
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
This paper proposed a new method of state of peak power capability prediction for Li-ion battery. Electrochemical impedance spectroscopy based equivalent circuit model is used as the reference model of battery dynamic characterization simulation, state of peak power capability is predicted based on the model and parameters estimation by fractional joint Kalman filter. By decomposing the voltage response of peak state to zero state and zero input responses, the peak terminal voltage can be predicted. Then, the state of battery peak power capability can be forecast quickly under the constant load current assumption.
Keywords :
"Batteries","Integrated circuit modeling","Mathematical model","Predictive models","Discharges (electric)","Kalman filters","Computational modeling"
Publisher :
ieee
Conference_Titel :
Vehicle Power and Propulsion Conference (VPPC), 2015 IEEE
Type :
conf
DOI :
10.1109/VPPC.2015.7352880
Filename :
7352880
Link To Document :
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