AI-Driven Optimization of Fuel Cell Performance in Electric Vehicles

The increasing adoption of electric vehicles (EVs) is driving the need for efficient and sustainable energy sources, such as fuel cells, to enhance vehicle range and performance. This paper explores the application of AI-driven optimization techniques to improve the performance of fuel cells in elec...

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Bibliographic Details
Published in:	E3S Web of Conferences
Main Authors:	Badhoutiya Arti, R Srisainath, Shirbavikar K.A., Bhuvaneshwari P., Al-Farouni Mohammed, Narkhede Jitendra, Kumar N Anil
Format:	Article
Language:	English
Published:	EDP Sciences 2024-01-01
Subjects:	ai-driven optimization fuel cells electric vehicles machine learning hydrogen economy
Online Access:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/121/e3sconf_icrera2024_04003.pdf

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