An Equivalent Circuit Model With Variable Effective Capacity for LiFePO4 Batteries

被引:25
作者
Blanco, Cecilio [1 ]
Sanchez, Luciano [2 ]
Gonzalez, Manuela [1 ,4 ]
Anton, Juan C. [1 ]
Garcia, Victor [3 ]
Viera, Juan C. [1 ,5 ]
机构
[1] Univ Oviedo, Dept Elect & Elect Engn, Gijon 33208, Spain
[2] Univ Oviedo, Dept Comp Sci, Gijon 33208, Spain
[3] Univ Oviedo, Dept Phys & Analyt Chem, Gijon 33208, Spain
[4] Univ Oviedo, Dept Elect & Elect Engn, Battery Res Lab, Gijon 33208, Spain
[5] ISPJAE, Dept Elect Engn, Havana, Cuba
关键词
Effective capacity; LiFePO4; batteries; modeling; MANAGEMENT-SYSTEMS; STATE; CHARGE; ALGORITHMS; PARAMETERS; BEHAVIOR;
D O I
10.1109/TVT.2014.2309394
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A new approach to equivalent circuit models for LiFePO4 batteries is presented in this paper. The proposed battery model is a semi-physical nonlinear dynamic model with variable effective capacity. Fuzzy logic has been used to capture the nonlinear behavior of the battery in combination with continuous-time differential equations. Fuzzy logic blocks are embedded in a state-space dynamic model as nonlinear constructive blocks. The proposed model has been validated for three different LiFePO4 batteries. The model provides an intuitive physical analogy between charging LiFePO4 batteries and filling a semi-rigid tank, which is useful for explanatory purposes.
引用
收藏
页码:3592 / 3599
页数:8
相关论文
共 40 条
[1]   Rapid test and non-linear model characterisation of solid-state lithium-ion batteries [J].
Abu-Sharkh, S ;
Doerffel, D .
JOURNAL OF POWER SOURCES, 2004, 130 (1-2) :266-274
[2]  
[Anonymous], NRELPR540051474
[3]  
[Anonymous], 1994, Journal of intelligent and Fuzzy systems
[4]  
[Anonymous], 1996, EL VEH BATT REST PRO
[5]   Statistical analysis for understanding and predicting battery degradations in real-life electric vehicle use [J].
Barre, Anthony ;
Suard, Frederic ;
Gerard, Mathias ;
Montaru, Maxime ;
Riu, Delphine .
JOURNAL OF POWER SOURCES, 2014, 245 :846-856
[6]   A review on lithium-ion battery ageing mechanisms and estimations for automotive applications [J].
Barre, Anthony ;
Deguilhem, Benjamin ;
Grolleau, Sebastien ;
Gerard, Mathias ;
Suard, Frederic ;
Riu, Delphine .
JOURNAL OF POWER SOURCES, 2013, 241 :680-689
[7]  
Butcher JC., 1987, The numerical analysis of ordinary differential equations: Runge-Kutta and general linear methods
[8]  
Chaturvedi NA, 2010, IEEE CONTR SYST MAG, V30, P49, DOI 10.1109/MCS.2010.936293
[9]   Accurate electrical battery model capable of predicting, runtime and I-V performance [J].
Chen, Min ;
Rincon-Mora, Gabriel A. .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2006, 21 (02) :504-511
[10]   State of charge estimation based on evolutionary neural network [J].
Cheng Bo ;
Bai Zhifeng ;
Cao Binggang .
ENERGY CONVERSION AND MANAGEMENT, 2008, 49 (10) :2788-2794