Optimization of an advanced battery model parameter minimization tool and development of a novel electrical model for lithium-ion batteries

Abstract

This paper represents the optimization of an advanced battery model parameter minimization tool for estimation of lithium-ion battery model parameters. This system is called extended Levenberg–Marquardt. The proposed system is able to predict the nonlinearity of lithium-ion batteries accurately. A fitting percentage of over 99% between the simulation and experimental results can be achieved. Then, this paper contains a new second-order electrical battery model for lithium-ion batteries, extracted on the basis of experimental study and able to predict the battery behavior precisely. Further, in this paper, an extended comparative study of the performances of the various existing electrical battery models in the literature (Rint, RC, Thevenin, and FreedomCar) for lithium-ion batteries against the new developed battery model is presented, on the basis of the optimized battery parameter minimization tool. These battery models have been validated at different working conditions. From the analysis, one can observe that the new proposed battery model is more accurate than the existing ones and that it can predict the battery behavior during transient and steady-state operations. Finally, the new battery model has been validated at different working temperatures. The analysis shows that the error percentage between 0% and 90% depth of discharge at 40 °C is less than 1.5% and at 0 °C less than 5%.