Remaining useful life prediction of lithium batteries in calendar ageing for automotive applications

Hu, 2011, Electro-thermal battery model identification for automotive applications, J Power Sources, 196, 449, 10.1016/j.jpowsour.2010.06.037

Remmlinger, 2011, State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation, J Power Sources, 196, 5357, 10.1016/j.jpowsour.2010.08.035

He, 2011, Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method, J Power Sources, 196, 10314, 10.1016/j.jpowsour.2011.08.040

Smith K, Kim G-H, Pesaran A. Modeling of nonuniform degradation in large-format Li-ion batteries. 215th Electrochemical society meeting, May 25–29, 2009, San Francisco, CA.

Zhuang, 2010, An electrochemical impedance spectroscopic study of the electronic and ionic transport properties of spinel LiMn2O4, J Phys Chem, 114, 8614

Ramasamy, 2005, Calendar life performance of pouch lithium-ion cells, J Power Sources, 141, 298, 10.1016/j.jpowsour.2004.09.024

Eddahech A, Briat O, Al Jed H, Chaari R, Mieze A, Simon R, Vinassa J-M, Li-Po batteries Modeling for Mail Delivery Electric Vehicles. In: 7th IEEE vehicle power and propulsion conference. Chicago. pp. 1–5, 2011.

Eddahech A, Briat O, Chaari R, Bertrand N, Henry H, Vinassa J-M. Lithium-ion cell modeling from impedance spectroscopy for EV applications. In: Proc. IEEE energy conversion congress and exposition conf., 2011, Phoenix, Arizona.

Eddahech, 2011, Aging monitoring of lithium-ion cell during power cycling tests, Microelectr Reliab J, 51, 1968, 10.1016/j.microrel.2011.07.013

Andre, 2011, Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. I. Experimental investigation, J Power Sources, 196, 5334, 10.1016/j.jpowsour.2010.12.102

Eddahech, 2012, Behavior and state-of-health monitoring of Li-ion batteries using impedance spectroscopy and recurrent neural networks, Int J Electr Power Energy Syst, 42, 487, 10.1016/j.ijepes.2012.04.050

Schmidt, 2010, Model-based distinction and quantification of capacity loss and rate capability fade in Li-ion batteries, J Power Sources, 195, 7634, 10.1016/j.jpowsour.2010.06.011

Eddahech A, Briat O, Vinassa JM. Adaptive voltage estimation for EV Li-ion cell based on artificial neural networks State-of-Charge meter. In: Proceedings of IEEE ISIE12, Hangzhou, China, May 28–31, 2012.

Chiang, 2011, Online estimation of internal resistance and open-circuit voltage of lithium-ion batteries in electric vehicles, J Power Sources, 196, 3921, 10.1016/j.jpowsour.2011.01.005

Wright, 2002, Calendar- and cycle-life studies of advanced technology development program generation 1 lithium-ion batteries, J Power Sources, 110, 445, 10.1016/S0378-7753(02)00210-0