Title :
Intelligent control battery equalization for series connected lithium-ion battery strings
Author :
Lee, Yuang-Shung ; Cheng, Ming-Wang
Author_Institution :
Dept. of Electron. Eng., Catholic Univ., Taipei, Taiwan
Abstract :
An intelligent battery equalization scheme based on fuzzy logic control is presented to adaptively control the equalizing process of series-connected lithium-ion batteries. The proposed battery equalization scheme is a bidirectional dc-dc converter with energy transferring capacitor that can be used to design the bidirectional nondissipative equalizer for a battery balancing system. Furthermore, it can be designed as a ripple-free converter for improving the input current distortion of the battery charge supply power system. A fuzzy-logic-controlled strategy is constructed with a set of membership functions to prescribe the cells equalizing behavior within a safe equalizing region for rapid cell voltage balancing. The simulation and experimental results show the advantage of the predicted equalizing performance of the lithium-ion battery stacks. The proposed fuzzy logic control battery equalization controller can abridge the equalization time about 32%. The proposed method maintains safe operation during the charge/discharge state in each lithium-ion cell of the battery strings.
Keywords :
DC-DC power convertors; adaptive control; adaptive equalisers; battery chargers; battery management systems; fuzzy control; intelligent control; secondary cells; DC-DC converter; Li; adaptive control; battery balancing system; battery charger; battery management system; current distortion; energy transferring capacitor; fuzzy logic control; intelligent control; lithium-ion battery; nondissipative equalizer; power supply system; ripple-free converter; voltage balancing; Adaptive equalizers; Batteries; Capacitors; DC-DC power converters; Fuzzy logic; Intelligent control; Power supplies; Power system simulation; Process control; Voltage; Battery charge equalization; battery management system (BMS); dc–dc power conversion; fuzzy logic; intelligent control; lithium-ion batteries;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2005.855673