Genetic Algorithm and Taguchi Method: An Approach for Better Li-Ion Cell Model Parameter Identification

The genetic algorithm (GA) is one of the most used methods to identify parameters Li-ion battery models. However, parametrization GA method not straightforward and can lead poor accuracy and/or long calculation times. Taguchi design provides an approach optimize parameters, achieving a good balance between time. thus define adapted model batteries for household applications based on static dynamic tests in time domain. results show compromise (RMSE less than 0.6). This promising could be applied other applications, resulting from measurements frequency domain or different kinds energy storage.