The climatic and environmental issues, rapid urbanisation, and technological developments in renewable energy in recent years have led to the rise of electric vehicles (EVs) for sustainable transportation. In the last decade or so, a set of situations have formed a way for electric mobility to enter India’s primary market, but it is still in its initial phase. Charging infrastructure can be considered a supporting pillar of this EV promotion scheme. The serviceability of a charging station is greatly affected by its location and the technology available. Hence, to fully incorporate EVs in the transportation sector, their charging technologies and stationing at appropriate charging sites must be analysed thoroughly. The selection of electric vehicle charging technology is a complex procedure. It can be decomposed into a decision-making problem with various criteria and alternatives to be considered simultaneously. This can be done using a multi-criteria decision-making (MCDM) technique. This study provides a fuzzy analytic hierarchy process (Fuzzy-AHP) framework to evaluate different criteria affecting our alternate technologies. Further, another MCDM Technique, VIKOR, is used to find solutions closest to the ideal condition and rank the alternate technologies. However, the selection of technology may vary from place to place. This study evaluates the criteria based on experts’ opinions. It is observed that the criteria reliability has the least weight, and charging time holds the maximum weight. This study favours battery swapping among all the available alternatives.
A Fuzzy Analytic Hierarchy Process and VIKOR Framework for Evaluation and Selection of Electric Vehicle Charging Technology for India
Transp. in Dev. Econ.
2022-04-01
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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