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    Please use this identifier to cite or link to this item: http://ir.lib.ksu.edu.tw/handle/987654321/12520


    Title: 狼群集聚演算法應用於鋰電池充電最佳化之可行性研究
    Authors: 黃世杰;白富升;洪得峻;林家宏;謝哲宇
    Contributor: 電機工程系
    Keywords: 狼群集聚演算法;充電電流
    Wolf pack algorithm;Charging Current
    Date: 2010-12-03
    Issue Date: 2010-12-16 12:14:29 (UTC+8)
    Publisher: 台南縣:崑山科技大學
    Abstract: 本文提出一種鋰電池充電之控制策略,其係應用電池充電
    後之靜置穩態電壓,以判斷電池續航力特性,並藉以避免過度
    充電及充電不足情況發生,而本文即於綜合考慮充電容量、充
    電安全以及充電後之電池續航力後,提出應用狼群集聚演算
    法,以便於在充電過程中,有效搜尋獲得最佳化充電電流,並
    利用場規劃邏輯閘陣列配合充電電路實現系統架構,同時由實
    作驗證本方法於增加電池續航力及強化電池充電效能,研究成
    果應可擴展至相關工業應用。
    A charging control strategy for lithium-ion battery is proposed in this paper. In the method, the steady-state voltage measured after the charging is employed to justify the durability of battery such that both the over-charging and under-charging can be more effectively avoided. Meanwhile, by taking the capacity, the security, and the durability of battery-charging into consideration, a wolf pack algorithm is developed and applied to determine the optimal charging current, while the field programmable gate array is used to accomplish the overall designated circuit. This approach has been tested through the implemented circuit, by which the experimental outcome support the results of the method with its extension to practical applications.
    Relation: 第31屆電力工程研討會
    Appears in Collections:[電機工程系所 ] 2010第卅一屆電力工程研討會

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