由於環保意識的上漲，各國電動車成長快速，這股風潮帶動了能源使用的重視，進而使得能源效率的進步和追求更低的溫室氣體排放，在發展電動車的同時，作為能量供給的場所，必須同時設置充電站提供顧客使用，兩者作為互補性需要達到供需平衡的限制，本研究探討充電站充電樁配置情形，藉由系統模擬來呈現顧客充電行為，模擬的優點是可以在規劃設計階段時提供不同配置情境的充電績效結果，藉由設定不同的資源變數值，找出較佳的決策模式。
充電站使用效率考量的變數在於目標場址周圍的使用車輛數、充電樁設置的種類、來客數車輛種類、車輛抵達時的電池狀態、車輛離開時的電池狀態、顧客平均抵達時間、等候容量等等要素，本研究考慮了以上變數建置了充電站模型，並可以藉由輸入不同充電樁數量配置得到不同的來客數資料報表，隨著不同充電樁類型及數量配置的績效，結果也會有所不同，管理者關心的是如何以最少的投入來取得最大的產出，而顧客關心的是等候進入充電服務時間越小越好，因此本研究利用資料包絡分析方法分析充電站不同資源配置下的營運結果，進一步找出較佳的配置，提供管理者客觀的參考，無效率的配置，則可以運用差額變數分析來提供改善的目標。

Due to the rising awareness of environmental protection, electric vehicles in various countries have grown rapidly. This trend has led to the emphasis on energy use, the improvement of energy efficiency and the pursuit of lower greenhouse gas emissions. As a place for energy supply, while developing electric vehicles, it is necessary to set up charging stations for customers to use. They are complementary and need to reach the limit of supply and demand balance. This study discusses the configuration of charging piles in charging stations. The system simulation is used to present the charging behavior of customers. The advantage of simulation is that it can be used in the planning and design stage. Compare and find the best decision by entering different resource variable values.
The variables that are considered for the efficiency of charging stations are the number of vehicles, the types of charging piles, the number of passengers and the types of vehicles, the battery status when the vehicle arrives, the battery status when the vehicle leaves, the average arrival time of customers, waiting capacity and other elements, variables are considered to build a charging station model, and different reports on the number of visitors can be obtained by inputting different configuration of the number of charging piles. Managers are concerned about how to obtain the maximum output with the least input, while customers are concerned about waiting time. Therefore, this study uses the data envelopment analysis method to analyze the operating results of charging stations under different resource allocations, find out the best configuration and provide managers with an objective reference, inefficient configuration, you can use the difference variable analysis to provide improvement goals.

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