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  • 學位論文

直流充電樁保護跳脫時間改善之研究

Study on Improving Trip Time of Direct Current Charging System.

指導教授 : 楊康宏
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摘要


本研究主要是以中華民國國家標準「電動車直流充電樁標準CNS 15511-23」為依據,針對電動車直流充電樁,因進行保護導體連續性測試而出現試驗不良結果,無法滿足國際標準所要求的跳脫時間需在10mS之內,造成試驗結果失敗,不符合標準規定要求。利用品質工具找出影響試驗結果的主要影響因子,進而提升試驗結果的品質改善。    在評估主要改善試驗結果的影響因子過程中,先利用品質機能展開系統(Quality Function Deployment, QFD),在多個可能影響保護導體連續性試驗的因子中,進行高低分數配比計算,依序找出主要影響因子。將主要影響因子套用實驗設計方法(Design of Experiment, DOE),藉由實驗設計方法的不同搭配實驗組合求得多筆實驗結果,再運用Minitab統計軟體分析,找出經由實驗設計方法的試驗結果與主要影響因子彼此間的相互作用關係,及與改善前的試驗結果數據進行比對分析,確認所評估的主要影響因子是否正確,進而改善電動車直流充電樁的試驗品質。 改善前的電動車直流充電樁保護導體連續性試驗的跳脫平均時間為14.38mS,再導入本研究確認後的影響試驗因子進行測試後,改善後的跳脫平均時間為平均數為9.85mS,試驗時間縮短4.53mS,顯示本研究改善前與改善後之電動車直流充電樁保護導體連續性試驗的跳脫平均時間有顯著進步改善。

並列摘要


Due to the impact of greenhouse effect and climate change, most countries have been taking actions to reduce greenhouse gas emission. Thus, automobile manufacturers have started to focus environment issue and invest significantly in the research & development of the electric vehicle. In terms of increasing the penetration rate of infrastructure construction, if the testing process of the direct current charging could be finalized, would be an influential element. This study intends to utilize the Quality Function Deployment (QFD) and Design of Experiment (DOE) analyzing way for seeking an optimum of trip time of direct current charging system to improve. This research focuses on effect factors to research the result of trip time. This research focus on two target levels to the process of trip time of direct current charging system to Improve, resistance, capacity, and speed of switch. According to three effect factors, every factor was set as two levels, to find the optimal solution to the trip time of direct current charging system, then used design of experiment to find the optimal solution to the trip time of direct current charging system. This is to confirm whether the optimization parameter is appropriate or not in this study. These tend to effect the trip time of direct current charging system. When the key factors will be expected to effectively control the variation of that for the result; in addition, the expenses of troubleshooting and test cost will be reduced.

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