鋰離子電池已被廣泛地用於各種應用，其中包括消費性電子產品、綠色能源系統和電動車輛。由於充電方法將會影響鋰離子電池使用壽命與相關特性，因此利用智慧型充電法則來輸出適當之充電電流是可行且必要的。本論文提出適用於鋰離子電池之模糊五階段充電法，所提技術可利用溫差與溫差變化趨勢來調整充電電流，與傳統定電流-定電壓(Constant Current-Constant Voltage, CC–CV)充電方法以及五階段定電流方法比較，所提方法可以降低充電時間並提升充電效率。為了進一步提高模糊五階段充電法的性能，本論文利用模糊田口實驗方法來搜尋較佳的輸出歸屬函數。模糊田口實驗方法可考量多個品質特性做為衡量指標，同時僅需54次實驗便可以獲得較佳的輸出歸屬函數設定值。與傳統的定電流-定電壓充電法比較，模糊田口實驗方法獲得之較佳解在充電效率與 循環壽命方面的改善分別可提升1.65%與59.3%，同時充電時間與平均溫升可以減少58.3%與26.7%。

Lithium ion (Li-ion) batteries have been widely used in various kinds of applications, including consumer electronics, green energy systems and electrical vehicles. Since the charging method has a significant influence on the performance and lifetime of Li-ion batteries, an intelligent charging algorithm which can properly determine the charging current is essential. In this dissertation, a fuzzy-logic-control-based (FLC-based) five-stage Li-ion battery charger is proposed. The proposed charger takes the temperature rise and the gradient of temperature rise of battery into account, and adjusts the charging current accordingly. Comparing with the conventional constant current-constant voltage (CC-CV) and five-stage CC charging methods, the proposed charger is capable of charging the Li-ion batteries with shorter charging time and higher charging efficiency. To further improve the performance of the proposed FLC, the fuzzy-based Taguchi method is utilized to determine the optimal output membership functions (MFs). The fuzzy-based Taguchi method can be regarded as a multiple performance characteristic index (MPCI) problem and can obtain the optimal output MFs in only 54 experimental tests. Comparing with the conventional CC-CV method, the charging efficiency and the obtained cycle life of the Li-ion battery are increased by 1.65% and 59.3%. The charging time and average temperature rise in the proposed are reduced about 58.3% and 26.7%, respectively.

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