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2023 | OriginalPaper | Chapter

A Comparative Study Using Numerical Simulations for Designing an Effective Cooling System for Electric Vehicle Batteries

Authors : Akshat Maheshwari, Vineet Singhal, Ajay Kumar Sood, Meenakshi Agarwal

Published in: Smart Trends in Computing and Communications

Publisher: Springer Nature Singapore

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Abstract

As technology is advancing rapidly in electric vehicle (EV), numerous automobile industries are focusing on shifting a part of their catalogue or have already started production of EVs. One of the most significant parts of an electric vehicle is battery which powers the vehicle, and it usually contains thousands of cells, which can be arranged in various combinations of series and parallel arrangements to form a module, many such modules together make a battery. Lithium-ion batteries are one of the preferred types for use in electric vehicles. The efficiency and life cycle of a lithium-ion battery depend on several factors. Battery temperature is one such critical factor and needs to be monitored to avoid early failure of the battery. Therefore, advanced cooling technology is to be incorporated into a battery to lower the temperature. This paper presents a comparative study of direct and tube cooling methods in a battery for effective cooling of an EV using ANSYS Fluent. These cooling systems are designed keeping an easier process of manufacturing in mind.

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Metadata
Title
A Comparative Study Using Numerical Simulations for Designing an Effective Cooling System for Electric Vehicle Batteries
Authors
Akshat Maheshwari
Vineet Singhal
Ajay Kumar Sood
Meenakshi Agarwal
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-16-9967-2_18

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