, CALCE: center for advanced life cycle engineering

Y. Tian, D. Li, J. Tian, and B. Xia, State of charge estimation of lithium-ion batteries using an optimal adaptive gain nonlinear observer, Electrochimica Acta, vol.225, pp.225-234, 2017.

T. Waldmann, B. Hogg, and M. Wohlfahrt-mehrens, Li plating as unwanted side reaction in commercial li-ion cells-a review, Journal of Power Sources, vol.384, pp.107-124, 2018.

K. Li, F. Wei, K. J. Tseng, and B. Soong, A practical lithiumion battery model for state of energy and voltage responses prediction incorporating temperature and ageing effects, IEEE Transactions on Industrial Electronics, vol.65, issue.8, pp.6696-6708, 2018.

N. M'sirdi, A. Belhani, and A. Naamane, Battery models for estimation of state of charge by sliding mode observer, vol.12, 2012.

A. Shafiei, A. Momeni, and S. S. Williamson, Battery modeling approaches and management techniques for plug-in hybrid electric vehicles, Vehicle Power and Propulsion Conference (VPPC), 2011.

I. Ieee, , pp.1-5, 2011.

X. Hu, S. Li, and H. Peng, A comparative study of equivalent circuit models for li-ion batteries, Journal of Power Sources, vol.198, pp.359-367, 2012.

K. Benabdelaziz and M. Maaroufi, Battery dynamic energy model for use in electric vehicle simulation, International Journal of Hydrogen Energy, vol.42, issue.30, pp.19-496, 2017.

M. Chen and G. A. Rincon-mora, Accurate electrical battery model capable of predicting runtime and iv performance, IEEE transactions on energy conversion, vol.21, issue.2, pp.504-511, 2006.

H. He, X. Zhang, R. Xiong, Y. Xu, and H. Guo, Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles, Energy, vol.39, issue.1, pp.310-318, 2012.

H. Dai, B. Jiang, and X. Wei, Impedance characterization and modeling of lithium-ion batteries considering the internal temperature gradient, Energies, vol.11, issue.1, p.220, 2018.

, A123systems high power lithium ion apr18650m1a datasheet

Y. Xing, W. He, M. Pecht, and K. L. Tsui, State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures, Applied Energy, vol.113, pp.106-115, 2014.

W. He, N. Williard, C. Chen, and M. Pecht, State of charge estimation for li-ion batteries using neural network modeling and unscented kalman filter-based error cancellation, International Journal of Electrical Power & Energy Systems, vol.62, pp.783-791, 2014.

E. Raszmann, K. Baker, Y. Shi, and D. Christensen, Modeling stationary lithium-ion batteries for optimization and predictive control, Proceedings of the 2017 IEEE Power and Energy Conference at Illinois (PECI), pp.23-24, 2017.

S. Li and B. Ke, Study of battery modeling using mathematical and circuit oriented approaches, Power and Energy Society General Meeting, pp.1-8, 2011.

D. Gallo, C. Landi, M. Luiso, and R. Morello, Optimization of experimental model parameter identification for energy storage systems, Energies, vol.6, issue.9, pp.4572-4590, 2013.