Proceedings of the International Conference on Mechanics, Materials and Mechatronics (ICM³ 2026)

International Conference on Mechanics, Materials and Mechatronics (ICM³ 2026)

📍Hyderabad, India🗓️ 23-25 March 2026
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CFD-Based Design and Optimization of Water-Cooled Battery Thermal Management System for Electric Vehicle Applications

Authors
R. Sai Kaundinya1, Ch. Himagireesh2, *, P. Siva Nagasree3, P. V. Vinay2, B. V. S. Arun Kumar2, Taj Taj2
1Student, Department of Mechanical Engineering, Engineering and Technology Program, GVP College for Degree and P.G. Courses (A), Visakhapatnam, Andhra Pradesh, India
2Department of Mechanical Engineering, Engineering and Technology Program, GVP College for Degree and P.G. Courses (A), Visakhapatnam, Andhra Pradesh, India
3Department of Mechanical Engineering, NRI Institute of Technology, Agiripalli, Visakhapatnam, Andhra Pradesh, India
*Corresponding author. Email: gireeshhima@gvpcdpgc.edu.in
Corresponding Author
Ch. Himagireesh
Available Online 4 September 2026.
DOI
10.2991/978-94-6239-764-4_3How to use a DOI?
Keywords
Lithium-ion battery; Electric Vehicles; Battery Thermal Management System (BTMS); Ansys Fluent; Ansys Space Claim
Abstract

Efficient thermal management is crucial to ensuring the safety, working condition, and lifespan of the lithium-ion battery pack in electric vehicles (EVs). This paper uses Ansys Fluent software to perform a detailed analysis and simulation of a water-cooled battery thermal management system (BTMS). The cooling channels and geometry of the battery module were created in ANSYS SpaceClaim, and meshing was employed to ensure proper fluid-solid interaction. The CFD simulations were conducted in various conditions of coolant flow rate (10-40 L/min), inlet coolant temperature (150C - 400C), and battery discharge rates (1C-4C). The simulation results indicate that high flow rates and low inlet temperatures effectively reduce battery cell temperatures and achieve uniform cell temperatures. It reduces the thermal hotspots and improves the battery safety. However, using the water-cooled system at high discharge rates (3C-4C) is insufficient to control the maximum cell temperatures (around 50 ℃), a notable limitation of this system. This study concludes that the standard water-cooling system can effectively handle moderate thermal loads. Still, nanofluid coolants, phase change material integration, and advanced strategies such as AI-based adaptive control are necessary to handle high-power applications. This work highlights the prominent role of simulation-based optimization in BTMS design and explores the most effective methods to enhance the thermal performance of EV battery systems.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Mechanics, Materials and Mechatronics (ICM³ 2026)
Series
Atlantis Highlights in Engineering
Publication Date
4 September 2026
ISBN
978-94-6239-764-4
ISSN
2589-4943
DOI
10.2991/978-94-6239-764-4_3How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - R. Sai Kaundinya
AU  - Ch. Himagireesh
AU  - P. Siva Nagasree
AU  - P. V. Vinay
AU  - B. V. S. Arun Kumar
AU  - Taj Taj
PY  - 2026
DA  - 2026/09/04
TI  - CFD-Based Design and Optimization of Water-Cooled Battery Thermal Management System for Electric Vehicle Applications
BT  - Proceedings of the International Conference on Mechanics, Materials and Mechatronics (ICM³ 2026)
PB  - Atlantis Press
SP  - 18
EP  - 39
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-764-4_3
DO  - 10.2991/978-94-6239-764-4_3
ID  - Kaundinya2026
ER  -