Title :
Modeling and identification of Li-ion battery based on electrochemical dynamics
Author :
Gu Jinbai ; Zheng Kai ; Cheng Lin ; Lin Jin
Author_Institution :
Inf. Sci. & Technol. Coll., Dalian Maritime Univ., Dalian, China
Abstract :
An electrochemical dynamical model of Li-ion battery system is proposed based on its internal electrochemical process and mass transferring. The model shows the internal connection of the states of the Li-ion battery system. With the assumption of the constant electrolyte concentration, the dynamical model is simplified and discretized such that an identification algorithm based on the least square estimation method is proposed to estimate the main parameters of the Li-ion battery systems. Simulation results verify the proposed identification algorithm.
Keywords :
electrochemistry; electrolytes; identification; least squares approximations; secondary cells; Li-ion battery system; electrochemical dynamical model; electrolyte concentration; internal electrochemical process; least square estimation method; mass transferring; Batteries; Educational institutions; Electrodes; Electronic mail; Estimation; Heuristic algorithms; Lithium; Electrochemical model; Identification; Least square method; Li-ion battery;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an