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original research article

Control Strategy in Electric Vehicle: A Visualized Bibliometric Analysis

Muhammad Rizalul Wahid 1 , 2 * , Diky Zakaria 3 , Elysa Nensy Irawan 3 , Endra Joelianto 2 , 4

1Graduate Program in Engineering Physics, Faculty of Industrial Technology, Institut Teknologi Bandung

2National Center for Sustainable Transportation Technology (NCSTT), Institut Teknologi Bandung, Bandung, Indonesia

3Mechatronics and Artificial Intelligence, Universitas Pendidikan Indonesia, Bandung, Indonesia

4Instrumentation and Control Research Group, Faculty of Industrial Technology, Institut Teknologi Bandung, Bandung, Indonesia

*Email: muhammadrizalulwahid@students.itb.ac.id
Control strategy has an important role in electric vehicles. It determines the efficiency and performance of electric vehicles. This study analyzes the control strategies on electric vehicles by a bibliometric analysis using VOSviewer, Open Refine and Tableau Public software. In this study, the dataset was taken from Scopus. The number of articles used is 1403 documents. The keywords used in Scopus database based on TITLE-ABS-KEY (title, abstract, keyword) are "control strategy" AND "electric vehicle" OR "EV". Based on the result analysis, the number of studies on control strategies in electric vehicles continues to increase from 2013 to 2022. Result analysis of this study provides information that the latest research trend related to control strategies in electric vehicles is wireless power transfer, switched reluctance motor, energy consumption, robust control, disturbance observer, battery life, deep reinforcement learning, reinforcement learning, ECMS and fuzzy logic control. We find that the most influential and productive authors are from China.

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