Comparative performance of electric vehicles using evaluation of mixed data

Manik Chandra Das (), Abanish Pandey (), Arun Kumar Mahato () and Rajnish Kumar Singh ()
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Manik Chandra Das: MCKV Institute of Engineering
Abanish Pandey: MCKV Institute of Engineering
Arun Kumar Mahato: MCKV Institute of Engineering
Rajnish Kumar Singh: MCKV Institute of Engineering

OPSEARCH, 2019, vol. 56, issue 3, No 21, 1067-1090

Abstract: Abstract The electric vehicle (EV) technology has been getting momentum due to rapid depletion of fossil fuels and also in taking care of environment. Many manufacturers are investing a lot in electric vehicles for a particular outcome coming from it which can show a sign for replacement of conventional I.C engines. They are taking interest about the customer findings in a car. There are various factors which affect the performance of an electric vehicle such as battery capacity, charging time, price, driving range etc. As we know there are many electric vehicle models that are present in market with different combinations and this study is based on the performance evaluation of electric vehicles using multiple criteria decision making tool from customer point of view. This study highlights the best electric vehicle model in Asian market so that findings of an EV buyer can be fulfilled. Fuzzy analytic hierarchy process has been used to determine criteria weight whereas evaluation of mixed data has been used for performance evaluation and ranking. According to the study BYD E6 becomes the best electric vehicle model in Asian market.

Keywords: FAHP; EVAMIX; Electric vehicles; MCDM (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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DOI: 10.1007/s12597-019-00398-9

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