Thermodynamic Optimization and Exergy-Based Performance Analysis of Hybrid Thermal Management Systems for Electric Vehicles

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 3 | 02 | Page :
    By

    Anushka Mukharjee,

  1. Student, United College of Engineering and Research, Prayagraj, Uttar Pradesh, India

Abstract

The transition toward sustainable transportation has brought electric vehicles (EVs) to the forefront of modern engineering innovation. Despite their environmental benefits and improved energy efficiency, EVs face major thermal challenges that affect performance, safety, and durability. Efficient thermal management of batteries, power electronics, and electric drive systems is vital to ensure reliability under diverse operating conditions. This study presents a detailed thermodynamic optimization and exergy-based performance analysis of hybrid thermal management systems (HTMS) for electric vehicles. The hybrid approach combines liquid cooling, air convection, phase change materials (PCMs), and thermoelectric modules to enhance heat dissipation, minimize exergy losses, and improve system efficiency. The thermodynamic analysis follows both the first and second laws, enabling the evaluation of energy flow and irreversibilities. Exergy analysis reveals that heat exchangers and coolant loops are the dominant contributors to exergy destruction, accounting for approximately 60% of total system losses. The study employs numerical simulation and parametric optimization methods to evaluate the influence of coolant flow rate, PCM melting point, and thermoelectric module power on performance. Results indicate that optimized hybrid systems achieve 25–40% improvement in temperature uniformity and 15–20% enhancement in exergy efficiency compared to conventional liquid cooling. Moreover, waste heat recovery through thermoelectric generation provides additional energy gains, improving EV range by 5–8%. The research highlights the potential of exergy-guided design frameworks for developing high-performance, sustainable thermal systems. The integration of advanced materials, intelligent control algorithms, and data-driven predictive models can further improve thermal adaptability under dynamic driving conditions. The outcomes of this work establish the hybrid thermodynamic optimization approach as a promising pathway for next-generation electric vehicle thermal management, ensuring better energy utilization, extended component lifespan, and reduced environmental impact.

Keywords: Exergy Analysis, Thermodynamic Optimization, Hybrid Thermal Management System, Electric Vehicles, Phase Change Materials (PCMs), Thermoelectric Cooling, Waste Heat Recovery, Battery Thermal Management, Energy Efficiency, Sustainability

How to cite this article:
Anushka Mukharjee. Thermodynamic Optimization and Exergy-Based Performance Analysis of Hybrid Thermal Management Systems for Electric Vehicles. International Journal of Energy and Thermal Applications. 2025; 03(02):-.
How to cite this URL:
Anushka Mukharjee. Thermodynamic Optimization and Exergy-Based Performance Analysis of Hybrid Thermal Management Systems for Electric Vehicles. International Journal of Energy and Thermal Applications. 2025; 03(02):-. Available from: https://journals.stmjournals.com/ijeta/article=2025/view=230921


References

  1. Pesaran, A. (2018). Battery Thermal Management in Electric and Hybrid Vehicles. Journal of Power Sources, 381, 210–224.
  2. Rao, Z., & Wang, S. (2019). A Review of Power Battery Thermal Energy Management Systems in Electric Vehicles. Renewable and Sustainable Energy Reviews, 15(9), 4554–4571.
  3. Tang, Y., et al. (2020). Hybrid Phase Change Material and Liquid Cooling for EV Batteries. Applied Thermal Engineering, 180, 115867.
  4. Xu, X., & Li, J. (2021). Thermoelectric Waste Heat Recovery in Electric Vehicle Thermal Systems. Energy Conversion and Management, 239, 114219.
  5. Karthikeyan, R., et al. (2022). Exergy Analysis of Battery Cooling Systems Using Nanofluids. Journal of Cleaner Production, 356, 131839.
  6. Patel, S., & Choudhury, R. (2021). Second Law Efficiency Evaluation of Hybrid Thermal Systems. Energy Reports, 7, 652–662.
  7. Zhao, Y., et al. (2023). Multi-Objective Optimization of Electric Vehicle Thermal Management Systems. Applied Energy, 332, 120536.
  8. Kim, H., & Park, C. (2020). Thermal Management Strategies for High-Performance Electric Vehicles. Energy Conversion and Management, 226, 113493.
  9. Zhang, L., et al. (2022). Dynamic Simulation of Hybrid Cooling Systems for EV Batteries. Journal of Energy Storage, 46, 103884.
  10. Singh, A., & Verma, R. (2023). Exergy-Based Optimization and Design of Intelligent Thermal Systems in EVs. International Journal of Energy and Thermal Applications, 1(2), 55–70.
  11. Lin, Z., et al. (2020). Thermal Behavior of Lithium-Ion Batteries with PCM Composite Cooling. Journal of Energy Engineering, 146(5), 04020056.
  12. Abdelrahman, M., & Fahim, M. (2021). Nanofluid Coolants for EV Battery Thermal Management: A Review. Energy Reports, 7, 2350–2362.
  13. Chen, L., & Xu, D. (2022). Entropy Generation Minimization in Electric Vehicle Cooling Loops. Energy, 250, 123437.
  14. Wang, H., et al. (2023). AI-Based Predictive Control for Thermal Regulation in EV Battery Packs. Journal of Energy Storage, 58, 106491.
  15. Park, Y., & Cho, S. (2022). Thermoeconomic Assessment of Hybrid Thermal Systems in Electric Mobility. Renewable Energy, 198, 1321–1335.
Ahead of Print Subscription Review Article
Volume 03
02
Received 30/10/2025
Accepted 04/11/2025
Published 10/11/2025
Publication Time 11 Days
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