由於能源和石油短缺的議題，近年來電池在應用上已經變成重要的動力源，為了要能有效地管理與監控電池的使用情形，必須萃取電池內部參數，以進一步強化後端系統之設計。電池的內部參數不易量測和提取，本論文針對閥控式密封鉛酸電池(VRLA)之複雜電化學反應特性，建立簡化電池等效電路模型，將電池的動態行為以狀態空間來表示。並且發展模糊邏輯觀測器方法，以實際工作下之電池電壓和電流值對電池內部參數進行估測，當估測誤差趨近於零時，此電池內部參數之開路電壓和內阻即可被提取，其中電池的內阻可以反應到電池的老化情形，而電池的開路電壓可以對應到電池殘存容量關係。在這個研究，首先建立兩個模擬，來說明電池模型的正確性，再以兩個定電流和兩個變動電流實驗來展現與驗證所提估測方法的能力和效益。

Due to energy and fossil fuel shortage problems, the application of battery has become an important power source in recent years. In order to utilize battery efficiently and optimally, one must extract the battery internal parameters, to be able to strengthen the design of the back-end systems further. However, the internal parameters of battery are difficult to measure and extract. This thesis focuses on valve regulated lead acid (VRLA) battery complex electrochemical reaction characteristics, where a simplified equivalent circuit model (ECM) and the electrical performance of a battery can be formulated into state-space representation. A fuzzy logic observer is utilized to estimate these internal parameters from the actual battery voltage and current values. As the estimation error approaches zero, both the open circuit voltage and internal resistance can be extracted. The internal resistance presents the aging of the battery situation and the open circuit voltage of the battery indicates the battery residual capacity. This study provides two simulations to illustrate the correctness of the battery model. Finally, four experiments including two constant and two variable current discharge experiments demonstrate the validity and effectiveness of the proposed estimation method.

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