Downloads provided by UsageCounts
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>Abstract Introduction: Electric Vehicles are the upcoming largest share of the automotive industry. Adhering to sustainability and budget-friendly the E.V models are developing with every possible feature that would appeal to the world. In the Indian market, there are 12 Electric cars and 195 electric scooters circulated in different parts of India. Objective: The following research objectives were undertaken to understand the significance of A. I in the E.V industry, to understand the power of A. I in the ecosystem of E.V, to explore the methods of A. I used it in E.V. Methodology: The Methodology Section provides the tools and techniques used in the research paper to investigate the research findings or solutions to the research problems. The researcher has used a secondary method for understanding the impact of Artificial Intelligence on the EV Industry. The researcher has taken information using secondary methods from different sources. Results: India's financial development is obvious for prosperous development due to various factors such as solid monetary extension, social change, rapid urbanisation, solid segment profits, and so on. India's advancement in the ease of carrying on with work records demonstrates the country's greater capacity to start and foster organisations.
E.V, Electric Vehicle, Artificial Intelligence, Machine learning
E.V, Electric Vehicle, Artificial Intelligence, Machine learning
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 14 | |
| downloads | 285 |

Views provided by UsageCounts
Downloads provided by UsageCounts