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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM23977
Volume:
7 |
6 |
Jun 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Researchers turn to electric automobile (batteries), primary power storage system in the United States of America, with theories as a solution to the environmental problem of increased pollution from the use of conventional power sources (nonrenewable energy) due to the transition to electric mobility are gathering. Efficient peak and average power make batteries the best choice for energy depository. Lithium-ion chemistry has proven to be an systematic battery technique in terms of power density, specific power, safety, durability and reduced emissions. Requirements for optimum operation include a temperature range of 15°C to 35°C and a uniform temperature profile. This affects vehicle performance and is a cause for concern. This highlights the importance of designing an effective battery thermal management system (BTMS). The BTMS is responsible for maintaining a constant temperature range throughout battery operation, improving its lifespan and efficiency. Different BTMS designs have been presented based on different media types, power consumption and thermal cycles. The purpose of this study is to use computational fluid dynamics to analyze different BTMS according to different arrangements of cells in battery modules, and use the results of that analysis to improve the execution of battery modules. It is to propose the most suitable BTMS with high cost efficiency and low maintenance of battery module. This CFD analysis is performed to evaluate airflow using ANSYS Fluent from BTMS. Analyzing the airflow through the battery module provides better insight into changes in cell packing arrangement and changes in the location of active or passive thermal management systems.
KEYWORDS
Publication Date
6/22/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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