Using a Soft Computing Method for Impedance Modeling of Li-ion Battery Current

Using the soft computing as a powerful tool for modeling of complex systems is highly regarded. Adaptive neuro fuzzy inference system is one of the best methods of soft computing which identifies the most non-linear systems. Since lithium batteries are complex impedance behavior, therefore these modeling and identification of the batteries can improve their design more efficient. In this paper, complex current of a battery in impedance state with the help of this method is modeled. Modeling results showed that this method can have acceptable output for impedance modeling the batteries

Keywords:

impedance modeling , li-ion battery , soft computing , complex systems