| Summary: | 碩士 === 龍華科技大學 === 電機工程系碩士班 === 100 === Nowadays, commercial lithium-ion batteries are playing important roles to supply power for mobile phones, laptop computers, and other electronics. In order to maximize the performance of lithium–ion batteries, a strategy which contain advanced rapid charging pattern and improve battery cycle life is required. In this thesis, a Particle-Swarm-Optimization (PSO)-based algorithm is presented, and the evaluation of an optimal five-stage fast charging strategy is judged from the Fuzzy controller, the best charging current of each part are founded by using PSO. By using WBCS3000 which is from WonATech company to track and record the data of the battery when it is on charging process. The proposed PSO-based algorithm can be integrated into a commercially available battery tester to search for the optimal rapid charging pattern. The problem formulation, implementation procedure, and parameter setting method are described and explained in detail. Experimental results show that the obtained rapid charging pattern is capable of charging the batteries higher than 90% available capacity within 51 minutes. And also increase cycle life and make the charging process be more effective than the conventional constant current–constant voltage (CC-CV) method.
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