Evaluation and ranking of battery electric vehicles by Shannon’s entropy and TOPSIS methods

Pankaj Prasad Dwivedi and Dilip Kumar Sharma

Mathematics and Computers in Simulation (MATCOM), 2023, vol. 212, issue C, 457-474

Abstract: In today’s culture, everyone requires transportation. Polluting vehicles like those that run on gasoline or diesel are being swiftly replaced with all-electric cars. Fully electric vehicles are much more environmentally beneficial because they emit no exhaust. The market for electric vehicles has expanded quickly in recent years, making it difficult for consumers to evaluate them and a major source of concern. Our primary responsibility in this study is to rank the fifteen different brands and types of electric automobiles that are now available for purchase globally based on the established criteria. This study evaluates fifteen different electric vehicles, according to their different ten criteria such as full charge time, purchasing price, quick charge time, maximum power, electric range, battery capacity, top speed, cargo volume, acceleration, and unladen weight. For the assessment in this study, the electric vehicle dataset was obtained from automobile manufacturers. For the evaluation of electric vehicles, we use two methods. The first method, Shannon’s entropy, is used to determine the electric car’s criterion weight, while the second method, TOPSIS, is used to rank electric vehicles. The study’s findings indicate that the quick charge time, maximum power, electric range, battery capacity, top speed, and base price aspects of electric cars gained popularity. An evaluation of electric cars serves as the foundation for the research’s validity.

Keywords: Entropy method; MCDM; TOPSIS method; Evaluation criteria; Electric vehicle selection; Normalization method (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:212:y:2023:i:c:p:457-474

DOI: 10.1016/j.matcom.2023.05.013

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