A state-of-the-art review on numerical investigations of liquid-cooled battery thermal management systems for lithium-ion batteries of electric vehicles
Sharma, Ashutosh, Khatamifar, Mehdi, Lin, Wenxian, and Pitchumani, Ranga (2024) A state-of-the-art review on numerical investigations of liquid-cooled battery thermal management systems for lithium-ion batteries of electric vehicles. Journal of Energy Storage, 101. 113844.
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Abstract
In recent decades, the electric vehicle (EV) industry has expanded at a quicker rate due to its numerous environmental and economic advantages. The battery thermal management system (BTMS) is an essential part of an EV that keeps the lithium-ion batteries (LIB) in the desired temperature range. Amongst the different types of BTMS, the liquid-cooled BTMS (LC-BTMS) has superior cooling performance and is, therefore, used in many commercial vehicles. Considerable ongoing research is underway to improve the performance of LC-BTMS, with most of the focus on numerical simulations. In view of this, the present article conducts a comparative assessment of the numerical simulation methodologies adopted for the analysis of LC-BTMS and systematically reviews the recent investigations of the design, operational, and performance aspects of LC-BTMS designs. The recently studied designs of LC-BTMS for both cylindrical and prismatic batteries are considered and further classified on the basis of main design attributes. Based on the existing literature, challenges with the current LC-BTMS technologies are analyzed, and areas of further development are identified. The review will serve as the basis for guiding future numerical simulations and the advancement of LC-BTMS technologies.
Item ID: | 85368 |
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Item Type: | Article (Research - C1) |
ISSN: | 2352-1538 |
Copyright Information: | © 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Date Deposited: | 07 May 2025 00:16 |
FoR Codes: | 40 ENGINEERING > 4002 Automotive engineering > 400205 Hybrid and electric vehicles and powertrains @ 100% |
SEO Codes: | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280110 Expanding knowledge in engineering @ 100% |
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