DocumentCode :
3580217
Title :
Modeling of LiFePO4 battery state of charge with recovery effect as a three-mode switched system
Author :
Chamnan-arsa, Sitthipong ; Uthaichana, Kasemsak ; Kaewkham-ai, Boonsri
Author_Institution :
Dept. of Electr. Eng., Chiang Mai Univ., Chiang Mai, Thailand
fYear :
2014
Firstpage :
1712
Lastpage :
1717
Abstract :
Accurate estimation on a single cell of LiFePO4 battery state of charge (SOC) is the main objective of this paper. The battery SOC is described based on the Thevenin equivalent circuit model along with other algebraic equations. The battery SOC is modeled as a three-mode switched system. In mode-0, the battery is discharging; in mode-1, the battery is being charged; in mode-2, the load current is about zero and the recovery effect takes place inside the battery. The concept of state of available charge and state of trapped charge are also provided to physically mimic the battery recovery effect. In contrast to more complicated model such as electrochemical reaction model, the dynamical equations in this study are rather simple but captures important phenomenon inside the LiFePO4 battery. The parameters for relationships in this battery model are also computed and provided. The obtained switched system can be solved by various switched optimization tool or hybrid optimization algorithms to arrive at superior battery management strategy.
Keywords :
battery management systems; equivalent circuits; optimisation; secondary cells; LiFePO4 battery SOC single cell estimation; Thevenin equivalent circuit model; algebraic equation; battery charging; battery discharging; battery recovery effect; dynamical equation; hybrid optimization algorithm; load current; state of charge; superior battery management strategy; switched optimization tool; three-mode switched system; Batteries; Computational modeling; Equations; Equivalent circuits; Mathematical model; System-on-chip; Voltage measurement; Li-ion battery; modeling; recovery effect; switched system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
Type :
conf
DOI :
10.1109/ICARCV.2014.7064574
Filename :
7064574
Link To Document :
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