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Comparative performance of electric vehicles using evaluation of mixed data

Author

Listed:
  • 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)

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.

Suggested Citation

  • Manik Chandra Das & Abanish Pandey & Arun Kumar Mahato & Rajnish Kumar Singh, 2019. "Comparative performance of electric vehicles using evaluation of mixed data," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 1067-1090, September.
    • Handle: RePEc:spr:opsear:v:56:y:2019:i:3:d:10.1007_s12597-019-00398-9
    DOI: 10.1007/s12597-019-00398-9
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    Cited by:

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    2. Afaq Ahmad & Muhammad Khalid & Zahid Ullah & Naveed Ahmad & Mohammad Aljaidi & Faheem Ahmed Malik & Umar Manzoor, 2022. "Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging," Energies, MDPI, vol. 15(24), pages 1-32, December.
    3. Gülçin Canbulut & Erkan Köse & Oğuzhan Ahmet Arik, 2022. "Public transportation vehicle selection by the grey relational analysis method," Public Transport, Springer, vol. 14(2), pages 367-384, June.
    4. Babar, Abdul Haseeb Khan & Ali, Yousaf, 2021. "Enhancement of electric vehicles’ market competitiveness using fuzzy quality function deployment," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

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    Keywords

    FAHP; EVAMIX; Electric vehicles; MCDM;
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