"Next-Gen Battery Cooling: Using AI, New Tech, and Sustainability for Electric Vehicles"

Karan M. Gandhi , Deep T. Khalasi

AI-Driven Thermal Management, Electric Vehicle (EV) Batteries, Phase-Change Materials (PCMs), Predictive Battery Management, Sustainable Cooling Systems, Battery Thermal Management Systems (BTMS)

As electric vehicles (EVs) continue to advance, the demand for efficient, safe, and sustainable battery thermal management systems (BTMS) has become increasingly critical. This review paper explores the integration of artificial intelligence (AI), cutting-edge technologies, and sustainable practices in next generation battery cooling systems. It examines AI-driven models for predicting battery states, thermal behavior, and failure conditions, while assessing the benefits and limitations of these approaches. The paper also highlights innovative technologies such as additive manufacturing for customized cooling structures, bioinspired designs for enhanced thermal performance, and smart materials adaptable to varying environmental conditions. Additionally, it investigates advanced cooling methods like mist-based systems for thermal runaway prevention and hybrid cooling strategies that combine air, liquid, and phase change materials (PCM). A strong emphasis is placed on sustainability, addressing the environmental, economic, and social impacts of BTMS innovations. By leveraging AI, advanced materials, and green engineering practices, this review aims to provide a roadmap for developing next-gen BTMS that optimize performance, extend battery life, and mitigate safety risks in EVs. The paper concludes with future research directions, emphasizing the need for continuous innovation to meet the evolving demands of electric mobility and contribute to a more sustainable future.

Published Paper   E-Certificate

""Next-Gen Battery Cooling: Using AI, New Tech, and Sustainability for Electric Vehicles"", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b233-b256, March-2025, Available :https://ijsdr.org/papers/IJSDR2503128.pdf

Volume 10 Issue 3, March-2025

Pages : b233-b256

Paper Reg. ID: IJSDR_301000

Published Paper Id: IJSDR2503128

Downloads: 000227

Research Area: Science and Technology

Country: SURAT, Gujarat, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2503128

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2503128

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition