Battery state of charge estimation basedon neural-network for electric vehicles

Diangong Jishu Xuebao/Transactions of China Electrotechnical Society

Volumn 22, Issue 8, 2007, Pages 155-160

  Lei, Xiao ^a   Chen, Qingquan ^a   Liu, Kaipei ^a   Ma, Li ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

EVs; Neural network; SOC; SVM

Indexed keywords

ELECTRIC VEHICLES; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES; TEMPERATURE;

BATTERY STATE OF CHARGE (SOC); ENERGY MONITORING; MULTILAYER PERCEPTRON (MLP); NOISE TOLERANCE;

NEURAL NETWORKS;

EID: 34548620849     PISSN: 10006753     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. Chan C C. The state of the art of electric and hybrid vehicles[C]. Proceedings of IEEE, 2002 (90): 247-275.
2. Shen W X, Chan C C, Lo E W C, et al. Adaptive nuero-fuzzy modeling of battery residual capacity for electric vehicle[J]. IEEE Transition on Industrial Electronics, 2002 (43): 677-684.
3. Shen W X, Chan C C, Lo E W C, et al. A new battery available capacity indicator for electric vehicles using neural network[J]. Energy Conversion and Management, 2002 (43): 817-826.
4. Chan C C, Lo E W C, Shen W X. Available capacity computation model based on artificial neural network for lead-acid batteries in electric vehicles[J]. Journal of Power Sources, 1999 (87): 201-204.
5. Simon Haykin. Neural Networks: A Comprehensive Foundation[M]. 2nd ed. Prentice Hall PTR, 1999.
6. Vapnik V. Statistical Learning Theory[M]. New York: New York Wiley, 1998.
7. Pérez-Cruz F, A. Navia-Vázquez, P. L. Alarcón-Diana, et al. An IRWLS procedure for SVR[C]. In Proc. EUSIPCO 2000, Tampere, Finland, Sept. 2000.
8. José Luis Rojo-Álvarez, Manel Martinez-Ramón, Anibal R. Figueiras-Vidal, et al. A robust support vector algorithm for nonparametric spectral analysis[J]. IEEE, 2003, 10(11): 320-323.
9. Kecman V. Learning and Soft Computing: Support Vector Machines, Neural Networks and Fuzzy Logic Models[M]. The MIT Press, Cambridge, MA, 2001.
10. Wang L P. Support vector machines: theory and application[M]. Springer, Berlin, Heidelberg, New York, 2005.
11. Caumont O, Moigne P Le, Rombaut C, et al. Energy gauge for lead-acid batteries in electric vehicles[J]. IEEE Trans. Energy Conversion, 2000 (15): 354-360.
12. Aylor J H, Thieme A, Johnson B W. A battery state of charge indicator for electric wheelchairs[J]. IEEE Trans. Ind. Electron, 1992 (39): 398-409.
13. Barsoukov E, Kim J H, Yoon C O, et al. Universal battery parameterization to yield a nonlinear equivalent circuit valid for battery simulation at battery load[J]. J Power Sources, 1999 (83): 61-70.