References
- G. Plett, "High-Performance Battery-Pack Power Estimation Using a Dynamic Cell Model," IEEE Transactions on Vehicular Technology, vol. 53, no. 5, pp. 1586-1593, Sep. 2004 https://doi.org/10.1109/TVT.2004.832408
- H. He, R. Xiong, X. Zhang, F. Sun, and J. Fan, "State-of-charge estimation of lithium-ion battery using an adaptive extended Kalman filter based on an improved Thevenin model," IEEE Trans. Veh. Technol., vol. 60, no. 4, pp. 1461-1469, May 2011. https://doi.org/10.1109/TVT.2011.2132812
- R. Xiong, H. He, F. Sun, and K. Zhao, "Evaluation on state of charge estimation of batteries with adaptive extended Kalman filter by experiment approach," IEEE Trans. Veh. Technol., vol. 62, no. 1, pp. 108-117, Jan. 2013. https://doi.org/10.1109/TVT.2012.2222684
- K. Il-Song, "Nonlinear state of charge estimator for hybrid electric vehicle battery," IEEE Trans. Power Electron., vol. 23, no. 4, pp. 2027-2034, Jul. 2008. https://doi.org/10.1109/TPEL.2008.924629
- G. Plett, "Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs Part 2. Modeling and identification," Journal of Power Sources, 134 (2004), pp. 262-276. https://doi.org/10.1016/j.jpowsour.2004.02.032
- T. Kim and W. Qiao, "A hybrid battery model capable of capturing dynamic circuit characteristics and nonlinear capacity effects," IEEE Trans. Energy Convers., vol. 26, no. 4, pp. 1172-1180, Dec. 2011. https://doi.org/10.1109/TEC.2011.2167014
- M. Chen and G. A. Rincon-Mora, "Accurate electrical battery model capable of predicting runtime and I - V performance," IEEE Trans. Energy Convers., vol. 21, no. 2, pp. 504-511, Jun. 2006. https://doi.org/10.1109/TEC.2006.874229
- M. Einhorn, F. V. Conte, C. Kral, and J. Fleig, "Comparison, selection, and parameterization of electrical battery models for automotive applications," IEEE Trans. Power Electron., vol. 28, no. 3, pp. 1429-1437, Mar. 2013. https://doi.org/10.1109/TPEL.2012.2210564