Adaptive Kalman filter based state of charge estimation algorithm for lithium-ion battery

doi:10.1088/1674-1056/24/9/098801

Abstract

In order to improve the accuracy of the battery state of charge (SOC) estimation, in this paper we take a lithium-ion battery as an example to study the adaptive Kalman filter based SOC estimation algorithm. Firstly, the second-order battery system model is introduced. Meanwhile, the temperature and charge rate are introduced into the model. Then, the temperature and the charge rate are adopted to estimate the battery SOC, with the help of the parameters of an adaptive Kalman filter based estimation algorithm model. Afterwards, it is verified by the numerical simulation that in the ideal case, the accuracy of SOC estimation can be enhanced by adding two elements, namely, the temperature and charge rate. Finally, the actual road conditions are simulated with ADVISOR, and the simulation results show that the proposed method improves the accuracy of battery SOC estimation under actual road conditions. Thus, its application scope in engineering is greatly expanded.

Keywords: state of charge (SOC) estimation temperature charge rate adaptive Kalman filter

Received: 31 July 2014
Revised: 30 March 2015
Accepted manuscript online:

PACS:	88.85.Hj	(Electric vehicles (EVs))
	82.47.Aa	(Lithium-ion batteries)
	07.05.Mh	(Neural networks, fuzzy logic, artificial intelligence)
	07.05.Tp	(Computer modeling and simulation)

Fund:

Project supported by the National Natural Science Foundation of China (Grant Nos. 61004048 and 61201010).

Corresponding Authors: Zheng Hong
E-mail: macrozheng@uestc.edu.cn

Cite this article:

Zheng Hong (郑宏), Liu Xu (刘煦), Wei Min (魏旻) Adaptive Kalman filter based state of charge estimation algorithm for lithium-ion battery 2015 Chin. Phys. B 24 098801

[1]	Soundarrajan C, Sivasankar A and Maruthamuthu S 2012 Journal of Hazardous Materials 217 452
[2]	Ajayi F F and Weigele P R 2012 Bioresource Technology 116 86
[3]	Wang Z P, Liu P and Wang L F 2013 Chin. Phys. B 22 088801
[4]	Hou X H, Hu S J and Huang Z W 2008 Chin. Phys. B 17 3422
[5]	Huang Z W, Hu S J and Zhang Z W 2010 Chin. Phys. B 19 117101
[6]	Shi S L, Liu Y G and Wang T H 2009 Chin. Phys. B 18 4564
[7]	Bhangu B S, Bentley P, Stone D A and Bingham C M 2005 Vehicle Power and Propulsion Conference, September 7-9, 2005, Chicago, USA, p. 780
[8]	Zhao Q, Xue J, Abir D S, Tuhina A M, Mrinalini D D, Mohamed B, Börje J and Rajeev A 2014 Solid State Ionics 258 88
[9]	Qiao L X, Wang J and Zheng B X 2013 IEEE 4th International Conference on Electronics Information and Emergency Communication, November 15-17, Beijing, China, p. 313
[10]	Zhang Y, Cheng X M, Fang Y Q and Yin Y L 2013 Proceedings of the 32th Chinese Control Conference, July 26-28, Xi'an, China, p. 7668
[11]	Liu H 2010 Study on SOC Estimation Method of Lithium-ion Battery Based on EKF for Electric Vehicles (Beijing: Beijing Jiaotong University)
[12]	Lu J X 2012 Research on the Performance Model and Prediction of State-of-charge for Li-ion Battery (Guangzhou: South China University of Technology)
[13]	Qiang J X, Guo Q and Yang L 2008 Chin. J. Mech. Eng. 21 20
[14]	Han J, Kim D and Sunwoo M 2009 J. Power Sources 188 606
[15]	Saeed S, Reza G, Bor Y and Liaw 2013 IEEE 2013 Transportation Electrification Conference and Expo, June 16-19, 2013, Detroit, USA
[16]	He H W, R X, Zhang X W, Sun F C and Fan J X 2011 IEEE Transactions on VehicularTechnology 60 1461
[17]	Sage A P and Husa G W 1969 IEEE Symposium on, Vol. 8, p. 61
[18]	Zhao Q, Heinz W, Christian and Bohn 2012 Proceedings of the 31th Chinese Control Conference, June 25-27, Hefei, China, p. 1978
[19]	Hu X S, Sun F C and Cheng X M 2010 Journal of Beijing Institute of Technology 119 416
[20]	Aissa B and Abdelhamid M 2012 Lecture Notes in Information Technology-Proceedings of 2012 International Conference on Future Electrical Power and Energy Systems, February 21-22, 2012, Sanya, China, p. 483
[21]	Bi J, Shao S, Guan W and Wang L 2012 Chin. Phys. B 21 118801
[22]	Taesic K 2011 IEEE Transanctions on Energy Conversion 26 1172
[23]	Jiang C N, Li H and He X C 2013 Sci. Technol. Eng. 13 2496
[24]	Gui C Q 2011 Battery Bimonthly 41 88
[25]	Wang J P, Guo J G and Ding L 2009 Energy Conversion and Management 50 3182

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Adaptive Kalman filter based state of charge estimation algorithm for lithium-ion battery

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