Estimation SOC for Li-Ion Batteries in EVs Using EKF
Keywords:
Extended Kalman Filter (EKF), State of Charge (SOC), Li-ion batteries, nonlinear filter, EV.Abstract
Recently, secondary batteries have attracted a lot of attention. They have been used as an energy source in electric vehicles (EVs), hybrid electric vehicles (HEVs) and smart grids. This attention increases by emerging more demand for decreasing CO2 gas in the air and having more renewable source. For those applications for rechargeable batteries and specifically Li-ion chemistry based ones, the battery management system (BMS) needs to have a very close to the truth guess of state of charge (SOC) of each individual cell in the battery pack. This research paper presents an extended Kalman filter based method to estimate SOC of Li-ion batteries. The validity of the procedure is demonstrated experimentally for an APR18650m1 LiFePO4 battery.
References
Lotfi, Nima and Landers R. G. "Robust nonlinear observer for state of charge estimation of li-ion batteries." ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. American Society of Mechanical Engineers, 2012.
Sepasi, Saeed, Reza Ghorbani, and Bor Yann Liaw. "SOC estimation for aged lithium-ion batteries using model adaptive extended Kalman filter." In Transportation Electrification Conference and Expo (ITEC), 2013 IEEE, pp. 1-6. IEEE, 2013.
Liaw, Bor Yann, Ganesan Nagasubramanian, Rudolph G. Jungst, and Daniel H. Doughty. "Modeling of lithium ion cells-a simple equivalent-circuit model approach." Solid state ionics 175, no. 1 (2004): 835-839.
Sepasi, Saeed, Reza Ghorbani, and Bor Yann Liaw. "A novel on-board state-of-charge estimation method for aged Li-ion batteries based on model adaptive extended Kalman filter." Journal of Power Sources, 245 (2014): 337-344.
Lam, Long, Pavol Bauer, and Erik Kelder. "A practical circuit-based model for Li-ion battery cells in electric vehicle applications." In Telecommunications Energy Conference (INTELEC), 2011 IEEE 33rd International, pp. 1-9. IEEE, 2011.
Yamazaki, T.; Sakurai, K.; Muramoto, K., "Estimation of the residual capacity of sealed lead-acid batteries by neural network," Telecommunications Energy Conference, 1998. INTELEC. Twentieth International , vol., no., pp.210,214, 1998
Lotfi,N. Fajri,P. Novosad,S. J. Savage, R. G. Landers, M. Ferdowsi. "Development of an Experimental Testbed for Research in Lithium-Ion Battery Management Systems." Energies 6.10 (2013): 5231-5258.
Zhao, Yunlan, Haitao Yun, Shude Liu, Huirong Jiao, and Chengzhen Wang. "State-of-charge Estimation for Lithium-ion Batteries Using a Multi-state Closed-loop Observer." Journal of Power Electronics 14, no. 5 (2014): 1038-1046.
Waag, Wladislaw, Christian Fleischer, and Dirk Uwe Sauer. "Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles." Journal of Power Sources 258 (2014): 321-339.
Sepasi, Saeed,
Han, Huachun, Haiping Xu, Zengquan Yuan, and Yingjie Zhao. "State of Charge estimation of Li-ion battery in EVs based on second-order sliding mode observer." In Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo, pp. 1-5. IEEE, 2014.
Kim, Il-Song. "The novel state of charge estimation method for lithium battery using sliding mode observer." Journal of Power Sources 163, no. 1 (2006): 584-590.
Xia, Bizhong, Chaoren Chen, Yong Tian, Wei Sun, Zhihui Xu, and Weiwei Zheng. "A novel method for state of charge estimation of lithium-ion batteries using a nonlinear observer." Journal of Power Sources 270 (2014): 359-366.
Sepasi, Saeed, Reza Ghorbani, and Bor Yann Liaw. "Improved extended Kalman filter for state of charge estimation of battery pack." Journal of Power Sources 255 (2014): 368-376.
Zhang, Xi, and Chris Mi. "Analytical Approach for the Power Management of Blended Mode PHEV." In Vehicle Power Management, pp. 107-139. Springer London, 2011.
Zhang, Bingzhan, Chris Chunting Mi, and Mengyang Zhang. "Charge-depleting control strategies and fuel optimization of blended-mode plug-in hybrid electric vehicles." Vehicular Technology, IEEE Transactions on 60, no. 4 (2011): 1516-1525.
G. Marangoni.
Shafiei, S. E., and S. Sepasi. "Incorporating sliding mode and Fuzzy controller with bounded torques for set
Davodi, Moez, Ehsan Reihani, and Mehdi Davodi. "Application of hierarchical clustering method for separation of power system." International Journal of Power and Energy Conversion 2, no. 3 (2010): 279-288.
E. Kamal, A.El Hajjaji and A. Mpanda Mabwe.
R. E. Kalman.
G. Welch and G. Bishop. An introduction to the Kalman Filter, Available: http://www.cs.unc.edu/ welch/kalman/kalmanIntro.html.
Downloads
Published
How to Cite
Issue
Section
License
Authors who submit papers with this journal agree to the following terms.
