Optimization of An Advanced Battery Model Parameter Minimization Tool and Development of a Novel Electrical Model for Lithium-ion Batteries

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 non-linearity 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 2nd order electrical battery model for lithium-ion batteries, extracted based on experimental study and able to predict the battery behaviour precisely.
Further, in this paper an extended comparative study of the performances of the various existing electrical battery models in the literature (Rint, RC, Thévenin, FreedomCar) for lithium-ion batteries against the new developed battery model is presented, based on 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 behaviour 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%.