我國電動車產業之研究趨勢

Research Trends of Electric Vehicles Industry in Taiwan

各國政府積極推動電動車的推廣與使用，主要出於對氣候變化和環境問題的擔憂。隨著資訊視覺化技術的不斷發展，我們現在能夠透過數據網絡將文獻之間的關係視覺化，形成不同主題的聚類，以展現這些關係的強弱、頻度密度以及節點之間的遠近。因此，本研究的目的在於透過分析台灣電動車相關的博士論文，深入瞭解這個領域的發展趨勢。為達成此目的，本研究主要倚賴臺灣博士論文知識加值系統中的電動車相關關鍵字進行資料收集，同時運用VOSviewer進行共被引分析和突現詞分析，以進行相關性深入研究。因此我們得出了一些關鍵結論。首先，我們注意到過去二十年間，電動車領域的研究持續增加，這反映出對電動車這一主題的持續關注。不同年份的論文數量變化顯示，特定年份出現更多的相關研究，這可能與全球事件和趨勢有關，引發了學術界和業界對電動車的更多關注。其次，我們確定了主要的研究領域，包括電動車產業、蓄電池技術、能源管理策略、混合動力、機器學習和數位訊號處理器技術。這些領域代表了學術界和業界對電動車技術和產業的廣泛興趣，並反映出這些方面的重要性。進一步的關鍵詞分析顯示了''Electric vehicle''、''電動車''、''能量管理策略''和''政府政策''等四個主要研究區域，這強調了這些主題的重要性，以及它們在電動車領域的核心地位。最後，通過時間趨勢分析，我們發現未來的主要研究趨勢包括''Data mining''、''Machine learning''和''Energy management system''。這表明，數據分析、智能技術和能源效率將成為電動車研究的重要方向。總結，這項研究為我們提供了深刻的洞察，有助於學術界和業界更好地理解電動車領域的發展趨勢和方向。我們期待這些結論能夠為未來的研究和創新工作提供有價值的指導。

Governments globally actively promote electric vehicle (EV) adoption due to climate and environmental concerns. Leveraging information visualization technology, this study analyzes Taiwan's doctoral dissertations on EVs. Utilizing electric vehicle-related keywords in the knowledge value-added system, data is collected, and VOSviewer is employed for co-citation and emergent word analysis, providing insights into correlations and developmental trends in the EV field. The following conclusions were drawn：Firstly, over the past 20 years, research in the field of electric vehicles has steadily increased, reflecting a sustained interest in the subject. Variations in the number of papers in different years suggest that specific years saw more related research, possibly linked to global events and trends. Secondly, key research areas were identified, including the electric vehicle industry, battery technology, energy management strategies, hybrid powertrains, machine learning, and digital signal processing technology. Further keyword analysis highlighted four major research areas, emphasizing the importance of these topics. Finally, through trend analysis, it was found that future research trends will include ''data mining,'' ''machine learning,'' and ''energy management systems,'' indicating that data analysis, intelligent technology, and energy efficiency will be important directions in electric vehicle research. In conclusion, this study provides valuable insights for a better understanding of the development trends and directions in the field of electric vehicles, benefiting both academia and industry in future research and innovation efforts.