Title :
Design of rapid charge system for lithium battery based on TMS320F2407
Author :
Li-li, Zhang ; Xue-gang, Hou ; Shun-qiang, Hou ; Hong-yu, Li
Author_Institution :
Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
Abstract :
Owing to the characteristics of nonlinear and time varying of different parameters in processing of storage battery charging, in order to realize rapid charge for lithium battery with high efficiency, the idea of charge system for lithium battery based on TMS320F2407 is proposed in this paper. Fuzzy control of recursive neural network based on immune genetic algorithm is adopted, to solve some problems occurred in the rapid charging system. Controlling circuits and corresponding system software are designed. The ability of real-time processing for rapid charge and peripheral function of controller are put into one set, and it is proved that the proposed method is feasible through practical experiment.
Keywords :
fuzzy control; genetic algorithms; lithium; neurocontrollers; nonlinear systems; secondary cells; time-varying systems; Li; TMS320F2407; controller peripheral function; controlling circuits; immune genetic algorithm; lithium battery; nonlinear characteristics; rapid charge system design; rapid charging system; recursive neural network fuzzy control; storage battery charging; time varying characteristics; Batteries; Data mining; Electrodes; Genetic algorithms; Lithium; Process control; Voltage control; Fuzzy control; Lithium battery; Rapid charge; TMS320F2407;
Conference_Titel :
Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-0312-5
DOI :
10.1109/INDIN.2012.6301375