Computational analysis of preheating cylindrical lithium-ion batteries with fin-assisted phase change material
Anand K. Joshi,
Pallabi Kakati,
Devendra Dandotiya,
Prashanth Soundra Pandiyan,
Naveen G. Patil and
Satyam Panchal
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Anand K. Joshi: Presidency University, Bangalore 560064, India
Pallabi Kakati: Presidency University, Bangalore 560064, India
Devendra Dandotiya: Presidency University, Bangalore 560064, India†Advanced Technology Research Center, Presidency University, Bangalore 560064, India
Prashanth Soundra Pandiyan: Presidency University, Bangalore 560064, India
Naveen G. Patil: ��School of Engineering, Ajeenkya D Y Patil Innovation University, Pune, Maharastra 412105, India
Satyam Panchal: �Mechanical and Mechatronic Engineering Department, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada
International Journal of Modern Physics C (IJMPC), 2024, vol. 35, issue 04, 1-16
Abstract:
The existing conventional vehicle transportation landscape in India is grappling with challenges stemming from extensive air pollution, health risks, surging oil prices, limited fossil fuel resources, substantial oil import expenses and energy volatility. To counter these issues, Electric Vehicles (EVs) are progressively replacing internal combustion engines, offering a promising route toward decarbonization and mitigating climate concerns. EVs rely on electric motors powered by batteries, predominantly Lithium-ion batteries (LIBs), known for their superior attributes such as low self-discharge, high energy density and extended life cycle. Nevertheless, LIB performance is significantly influenced by operating temperatures, with suboptimal conditions leading to decreased efficiency, power loss and faster aging. Addressing this, an effective Battery Thermal Management System (BTMS) becomes crucial to maintain batteries at optimal temperatures, enhancing their efficiency and safety. This study focuses on a computational analysis of passive heating systems employing Fins and Phase Change Materials (PCM) for 18650 Li-ion battery thermal management at low temperatures, with specific attention to battery module analysis. Numerical analysis using ANSYS FLUENT investigates the influence of varying PCM thickness on heat transfer, predicting temperature distribution and discussing its impact on battery output performance.
Keywords: Battery thermal management system; electric vehicle; fins; lithium-ion battery; phase change material; preheating (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0129183124500475
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