Estimation of Lithium Polymer cell characteristic parameters through genetic algorithms

In this paper the possibility to characterize a Lithium Polymer (LiPo) cell, starting from a small amount of measurements only, is investigated. Experimental results achieved by a deep measurement campaign performed on one of the lithium batteries capable of the highest power on the market are partially reported and described. Part of these results together with an analytical model and a data driven procedure based on a genetic algorithm are used to deduce different quantities believed to be important for the description of the cell behavior. Finally, deduced quantities are compared with the equivalent measured ones in order to evaluate the correctness of the proposed approach.