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Cited by 357

The DOI matches its Crossref record; 146 of the 146 references it cites were found in a registry or an index.

Possibilities and Challenges for the Inclusion of the Electric Vehicle (EV) to Reduce the Carbon Footprint in the Transport Sector: A Review

Open access
Ghosh, Aritra·2020·Energies

Abstract

To combat global climate change moving towards sustainable, mobility is one of the most holistic approaches. Hence, decarbonization of the transport sector by employing electric vehicles (EVs) is currently an environmentally benign and efficient solution. The EV includes the hybrid EV (HEV), the plug-in hybrid EV (PHEV), and the battery EV (BEV). A storage system, a charging station, and power electronics are the essential components of EVs. The EV charging station is primarily powered from the grid which can be replaced by a solar photovoltaic system. Wide uptake of EVs is possible by improving the technologies, and also with support from the government. However, greenhouse gas emission (GHG) saving potential of the EV is debatable when the required power to charge the EV comes from traditional fossil fuel sources.

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Crossref · 10.3390/en13102602

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Metadata

Authors
Ghosh, A.
Venue
Energies
Publisher
MDPI AG
Published
2020-05-20
Volume
13
Issue
10
Pages
2602
ISSN
1996-1073 (ISSN-L)
OpenAlex
W3027683766
Cited by
357
References
146
FWCI
14.01
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Possibilities and Challenges for the Inclusion of the Electric Vehicle (EV) to Reduce the Carbon Footprint in the Transport Sector: A Review. https://app.cochat.ai/papers/10.3390/en13102602
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Ghosh, A. (2020). Possibilities and Challenges for the Inclusion of the Electric Vehicle (EV) to Reduce the Carbon Footprint in the Transport Sector: A Review. Energies. https://doi.org/10.3390/en13102602

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.