Paper Title
Role of AI in improving rechargeable batteries for Electrical Vehicles
Article Identifiers
Authors
Raghav Singla
Keywords
Lithium Ion, Electric Vehicle, Artificial Intelligence
Abstract
The demand for rechargeable batteries has seen exponential growth, especially during the last decade due to the increased popularity and usage of Electrical Vehicles (EVs). These batteries have become a critical part of the overall energy infrastructure and as such, there is a significant focus and interest around enhancing their capabilities. While EVs are considered one of the most promising ways to cut down the carbon footprint, battery waste poses another threat to our planet. One way to reduce this impact is to prolong the life of batteries so the net wastage over the life of any EV is reduced. In this paper, we will briefly list different types of batteries and analyse their usage and power supply. We will then cover the commonly adopted techniques and processes for increasing the efficiency and performance of batteries. Further, we will analyse and suggest some Artificial Intelligence (AI) driven concepts which could be useful in prolonging the usable life of these batteries.
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How To Cite (APA)
Raghav Singla (October-2022). Role of AI in improving rechargeable batteries for Electrical Vehicles . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(10), 343-347. https://ijnrd.org/papers/IJNRD2210169.pdf
Issue
Volume 7 Issue 10, October-2022
Pages : 343-347
Other Publication Details
Paper Reg. ID: IJNRD_183678
Published Paper Id: IJNRD2210169
Downloads: 000121984
Research Area: Science & Technology
Country: New Delhi, Delhi, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2210169.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2210169
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
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Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
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