Title :
The estimation of the state of charge for lithium-ion battery by fuzzy c-regression model (FCRM) clustering algorithm
Author :
Kung, Chung-Chun ; Chang, Shuo-Chieh
Author_Institution :
Dept. of Electr. Eng., Tatung Univ., Taipei, Taiwan
Abstract :
In this paper, the estimation of the state of charge (SOC) of lithium-ion battery by fuzzy c-regression model (FCRM) clustering algorithm is proposed. Based on these experiment data, we apply the FCRM clustering algorithm with affine linear functional cluster representatives to build the dynamic behavior of all parameters for the RC model. Finally, the simulation results demonstrate the effectiveness of the proposed approach.
Keywords :
battery chargers; electric charge; fuzzy set theory; lithium; pattern clustering; regression analysis; secondary cells; FCRM clustering; RC model; affine linear functional cluster representatives; dynamic behavior; fuzzy c-regression model; lithium-ion battery; state of charge; Batteries; Clustering algorithms; Data models; Heuristic algorithms; Mathematical model; Resistors; System-on-a-chip; fuzzy c-regression model; lithium-ion battery; state of charge;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4577-0652-3
DOI :
10.1109/ICSMC.2011.6083894
