UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 2
February-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2202473


Registration ID:
320747

Page Number

e573-e584

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Title

Electric Vehicles: A Computational Theory And Market Analysis

Abstract

In many nations, despite the significant public subsidies and technological advancements, the market for electric vehicles is not growing at the predicted rate. One cause could be the absence of successful business concepts that would enable commercialization and widespread adoption of electric vehicles. Business models that worked well for conventional cars may not work well for electric vehicles due to technological constraints like reduced driving range, long charging cycles, and higher purchasing costs. However, a substantial body of scholarly literature on electric car business models has emerged in recent years. Nonetheless, these insights are fragmented and rarely address the company model in its entirety. We explore pertinent concepts about electric car business models and synthesize essential findings along with each business model feature in this literature review. The paper integrates insights from the scientific literature about EV business models all around the globe. This research develops various key insights along with the necessary quantifying elements regarding electric power. These propositions integrate knowledge on the electric vehicles (EV) market and the benchmarking of each component element in detail. Various batteries are classified according to different scenarios with their pros and cons, which motivates us to select the best outcome for the future service. Finally, a typical 2-wheeler motorcycle is taken into consideration for the purpose of the ideal calculation. The overall evaluation also contains a possible solution to prospective market threats, and in this way, our study gives a concise and complete assessment of current research while also indicating new avenues for future research for scholars.

Key Words

Electric vehicle, EV batteries, Li-ion batteries, market analysis.

Cite This Article

"Electric Vehicles: A Computational Theory And Market Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.e573-e584, February-2022, Available :http://www.jetir.org/papers/JETIR2202473.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Electric Vehicles: A Computational Theory And Market Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppe573-e584, February-2022, Available at : http://www.jetir.org/papers/JETIR2202473.pdf

Publication Details

Published Paper ID: JETIR2202473
Registration ID: 320747
Published In: Volume 9 | Issue 2 | Year February-2022
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.29360
Page No: e573-e584
Country: NASHIK, maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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