Robust and Adaptive Estimation of State of Charge for Lithium-Ion Batteries

IEEE Transactions on Industrial Electronics

Volumn 62, Issue 8, 2015, Pages 4948-4957

  Zhang, Caiping ^a   Wang, Le Yi ^b   Li, Xue ^a   Chen, Wen ^c   Yin, George G ^c   Jiang, Jiuchun ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

^b Wayne State University   (United States)

^c WAYNE STATE UNIVERSITY   (United States)

Author keywords

Adaption; Lithium ion battery model; Robustness; SOC estimation; System identification

Indexed keywords

ALGORITHMS; CHARGING (BATTERIES); ELECTRIC BATTERIES; IDENTIFICATION (CONTROL SYSTEMS); LITHIUM ALLOYS; LITHIUM COMPOUNDS; LITHIUM-ION BATTERIES; OPEN CIRCUIT VOLTAGE; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS); SECONDARY BATTERIES; UNCERTAINTY ANALYSIS;

ADAPTION; CONVERGENCE PROPERTIES; ELECTROCHEMICAL FEATURES; ESTIMATION METHODOLOGIES; IDENTIFICATION ALGORITHMS; LITHIUM IONS; MODEL UNCERTAINTIES; SOC ESTIMATIONS;

BATTERY MANAGEMENT SYSTEMS;

EID: 84934289678     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2015.2403796     Document Type: Article

References (26)

1. D. Linden and T. Reddy, Handbook of Batteries, 4th ed. . New York, NY, USA: McGraw-Hill, 2011.
2. C. Zheng, Y. H. Fu, and C. C. Mi, "State of charge estimation of lithiumion batteries in electric drive vehicles using extended Kalman filtering, " IEEE Trans. Veh. Technol., vol. 62, no. 3, pp. 1020-1030, Mar. 2013.
3. M. Gholizadeh and F. R. Salmasi, "Estimation of state of charge, unknown nonlinearities, state of health of a lithium-ion battery based on a comprehensive unobservable model, " IEEE Trans. Ind. Electron., vol. 61, no. 3, pp. 1335-1344, Mar. 2014.
4. H. Rahimi-Eichi, F. Baronti, and M. Y. Chow, "Online adaptive parameter identification and state-of-charge coestimation for lithium-polymer battery cells, " IEEE Trans. Ind. Electron., vol. 61, no. 4, pp. 2053-2061, Apr. 2014.
5. G. Plett, "Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs. Part 1. Background, " J. Power Sources, vol. 134, no. 2, pp. 252-261, Jun. 2004.
6. H. Chaoui, N. Golbon, I. Hmouz, R. Souissi, and S. Tahar, "Lyapunovbased adaptive state of charge and state of health estimation for lithiumion batteries, " IEEE Trans. Ind. Electron., vol. 62, no. 3, pp. 1610-1618, Mar. 2015.
7. J. P. Wang, J. G. Guo, and L. Ding, "An adaptive Kalman filtering based State of charge combined estimator for electric vehicle battery pack, " Energy Convers. Manage., vol. 50, no. 12, pp. 3182-3186, Dec. 2009.
8. M. Charkhgard and M. Farrokhi, "State-of-charge estimation for lithiumion batteries using neural networks and EKF, " IEEE Trans. Ind. Electron., vol. 57, no. 12, pp. 4178-4187, Dec. 2010.
9. F. Zhang, G. J. Liu, L. J. Fang, and H. G. Wang, "Estimation of battery state of charge with H∞ observer: Applied to a robot for inspecting power transmission lines, " IEEE Trans. Ind. Electron., vol. 59, no. 2, pp. 1086-1095, Feb. 2012.
10. M. Shahriari and M. Farrokhi, "Online state-of-health estimation of VRLA batteries using state of charge, " IEEE Trans. Ind. Electron., vol. 60, no. 1, pp. 191-202, Jan. 2013.
11. M. E. Orchard, P. Hevia-Koch, B. Zhang, and L. Tang, "Risk measures for particle-filtering-based state-of-charge prognosis in lithium-ion batteries, " IEEE Trans. Ind. Electron., vol. 60, no. 11, pp. 5260-5269, Nov. 2013.
12. E. Barsoukov, J. Kim, C. Yoon, and H. Lee, "Universal battery parameterization to yield a non-linear equivalent circuit valid for battery simulation at arbitrary load, " J. Power Sources, vol. 83, no. 1/2, pp. 61-70, Oct. 1999.
13. N. Watrin, R. Roche, H. Ostermann, B. Blunier, and A. Miraoui, "Multiphysical lithium-based battery model for use in state-of-charge determination, " IEEE Trans. Veh. Technol., vol. 61, no. 8, pp. 3420-3429, Oct. 2012.
14. W. B. Gu and C. Y. Wang, "Thermal electrochemical modeling of battery systems, " J. Electrochem. Soc., vol. 147, no. 8, pp. 2910-2922, Jan. 2000.
15. K. Takano et al., "Simulation study of electrical dynamic characteristics of lithium-ion battery, " J. Power Sources, vol. 90, no. 2, pp. 214-223, Oct. 2000.
16. K. A. Smith, C. D. Rahn, and C. Wang, "Model-based electrochemical estimation and constraint management for pulse operation of lithium ion batteries, " IEEE Trans. Control Syst. Technol., vol. 18, no. 3, pp. 654-663, May 2010.
17. H. W. He, R. Xiong, H. Q. Guo, and S. C. Li, "Comparison study on the battery models used for the energy management of batteries in electric vehicles, " Energy Convers. Manage., vol. 64, pp. 113-121, Dec. 2012.
18. M. Sitterly, L. Y. Wang, and G. Yin, "Enhanced identification algorithms for battery models under noisy measurements, " presented at the SAE Power Systems Conf., Ft. Worth, TX, USA, Nov. 2-4, 2010.
19. M. Sitterly, L. Y. Wang, G. Yin, and C. Wang, "Enhanced identification of battery models for real-time battery management, " IEEE Trans. Sustain. Energy, vol. 2, no. 3, pp. 300-308, Jul. 2011.
20. L. Z. Liu et al., "Integrated system identification and state-of-charge estimation of battery systems, " IEEE Trans. Energy Convers., vol. 28, no. 1, pp. 12-23, Mar. 2013.
21. V. Johnson, M. Zolot, and A. Pesaran, "Development and validation of a temperature-dependent resistance/capacitance battery model for ADVISOR, " in Proc. 18th Elect. Veh. Symp., Berlin, Germany, Oct. 20-24, 2001, [CD-ROM].
22. Simulink R2013a Documentation, Mathworks, Inc., 2013. [Online]. Available: http://www.mathworks.com/help/toolbox/physmod/powersys/ref/battery.html
23. W. Chen, W. T. Chen, M. Saif, M. F. Li, and H. Wu, "Simultaneous fault isolation and estimation of lithium-ion batteries via synthesized design of Luenberger and learning observers, " IEEE Trans. Control Syst. Technol., vol. 22, no. 1, pp. 290-298, Jan. 2014.
24. R. Xiong, X. Z. Gong, C. C. Mi, and F. C. Sun, "A robust state-ofcharge estimator for multiple types of lithium-ion batteries using adaptive extended Kalman filter, " J. Power Sources, vol. 243, pp. 805-816, Dec. 2013.
25. H. W. He, R. Xiong, and H. Q. Guo, "Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles, " Appl. Energy, vol. 89, no. 1, pp. 413-420, Jan. 2012.
26. X. Chen, W. X. Shen, Z. Cao, and A. Kapoor, "Sliding mode observer for state of charge estimation based on battery equivalent circuit in electric vehicles, " Austral. J. Elect. Electron. Eng., vol. 9, no. 3, pp. 225-234, Sep. 2012.