Design and Optimization of Heat Dissipation Systems for Electric Vehicle Battery Packs: A Study on Advanced Cooling Techniques

Year : 2025 | Volume : 12 | Issue : 01 | Page : 1-10
    By

    Parshuram Sonawane,

  • Ravikant Nanwatkar,

  • Yashodhan Sonavane,

  • Sanket Satayapal,

  • Gaurav Ghule,

  • Swami-raj Gorhe,

  1. Assistant Professor, Department of Mechanical Engineering, Sinhgad Technical Education Society’s NBN Sinhgad Technical Institutes Campus, Maharashtra, India
  2. Assistant Professor, Department of Mechanical Engineering, Sinhgad Technical Education Society’s NBN Sinhgad Technical Institutes Campus, Maharashtra, India
  3. U G Student, Department of mechanical engineering, Sinhgad Technical Education Society’s NBN Sinhgad Technical Institutes Campus, Maharashtra, India
  4. U G Student, Department of mechanical engineering, Sinhgad Technical Education Society’s NBN Sinhgad Technical Institutes Campus, Maharashtra, India
  5. U G Student, Department of mechanical engineering, Sinhgad Technical Education Society’s NBN Sinhgad Technical Institutes Campus, Maharashtra, India
  6. U G Student, Department of mechanical engineering, Sinhgad Technical Education Society’s NBN Sinhgad Technical Institutes Campus, Maharashtra, India

Abstract

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In order to guarantee battery safety, performance, and longevity, the increasing popularity of electric vehicles (EVs) has increased the demand for efficient heat management systems. With an emphasis on cutting-edge cooling methods, this study explores the design and optimization of heat dissipation systems for EV battery packs. The study compares cutting-edge techniques like phase change materials, micro channel heat sinks, and thermoelectric cooling systems with more conventional cooling techniques like air and liquid cooling. The performance, efficiency, and lifespan of electric vehicle (EV) batteries are significantly influenced by their thermal management systems. As EV adoption continues to rise, the need for effective and innovative cooling solutions to maintain optimal battery temperature becomes crucial. This study investigates the design and optimization of heat dissipation systems for EV battery packs, focusing on advanced cooling techniques. The study examines various cooling methods, including air cooling, liquid cooling, phase change materials, and microchannel heat exchangers, evaluating their performance in terms of heat transfer efficiency, system complexity, and integration with battery architecture. Additionally, the study explores the use of computational fluid dynamics (CFD) simulations to model and optimize the heat dissipation process, ensuring uniform temperature distribution across the battery cells. By comparing these techniques, the study provides a comprehensive analysis of the most effective solutions for enhancing the performance and longevity of EV batteries. The findings highlight the potential of advanced cooling systems to address current limitations and support the development of more efficient, sustainable, and high-performing electric vehicles.

Keywords: Electric vehicle, cooling, battery temperature, solutions, heat dissipation systems, computational fluid dynamics

[This article belongs to Journal of Automobile Engineering and Applications ]

How to cite this article:
Parshuram Sonawane, Ravikant Nanwatkar, Yashodhan Sonavane, Sanket Satayapal, Gaurav Ghule, Swami-raj Gorhe. Design and Optimization of Heat Dissipation Systems for Electric Vehicle Battery Packs: A Study on Advanced Cooling Techniques. Journal of Automobile Engineering and Applications. 2025; 12(01):1-10.
How to cite this URL:
Parshuram Sonawane, Ravikant Nanwatkar, Yashodhan Sonavane, Sanket Satayapal, Gaurav Ghule, Swami-raj Gorhe. Design and Optimization of Heat Dissipation Systems for Electric Vehicle Battery Packs: A Study on Advanced Cooling Techniques. Journal of Automobile Engineering and Applications. 2025; 12(01):1-10. Available from: https://journals.stmjournals.com/joaea/article=2025/view=0



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Regular Issue Subscription Original Research
Volume 12
Issue 01
Received 02/04/2025
Accepted 13/04/2025
Published 26/04/2025
Publication Time 24 Days
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