Mohammad Shahjalal
A Numerical Thermal Analysis of a Battery Pack in an Electric Motorbike Application
Shahjalal, Mohammad; Shams, Tamanna; Hossain, Sadat Bin; Roy, Probir Kumar; Jion, Arafat Alam; Ahsan, Mominul; Chowdhury, Jahedul Islam; Ahmed, Md Rishad; Alam, Syed Bahauddin; Haider, Julfikar
Authors
Tamanna Shams
Sadat Bin Hossain
Probir Kumar Roy
Arafat Alam Jion
Mominul Ahsan
Jahedul Islam Chowdhury
Dr RISHAD AHMED RISHAD.AHMED@NOTTINGHAM.AC.UK
ASSISTANT PROFESSOR
Syed Bahauddin Alam
Julfikar Haider
Abstract
Today, electric driven motorbikes (e-motorbikes) are facing multiple safety, functionality and operating challenges, particularly in hot climatic conditions. One of them is the increasing demand for efficient battery cooling to avoid the potential thermal stability concerns due to extreme temperatures and the conventional plastic enclosure of the battery pack. A reliable and efficient thermal design can be formulated by accommodating the battery within an appropriate battery housing supported by a cooling configuration. The proposed design includes a battery pack housing made of high conductive materials, such as copper (Cu) and aluminum (Al), with an adequate liquid cooling system. This study first proposes a potted cooling structure for the e-motorbike battery and numerical studies are carried out for a 72 V, 42 Ah battery pack for different ambient temperatures, casing materials, discharge rates, coolant types, and coolant temperatures. Results reveal that up to 53 °C is achievable with only the Cu battery housing material. Further temperature reduction is possible with the help of a liquid cooling system, and in this case, with the use of coolant temperature of 20◦ C, the battery temperature can be maintained within 28 °C. The analysis also suggests that the proposed cooling system can keep a safe battery temperature up to a 5C rate. The design was also validated for different accelerated driving scenarios. The proposed conceptual design could be exploited in future e-motorbike battery cooling for optimum thermal stability.
Citation
Shahjalal, M., Shams, T., Hossain, S. B., Roy, P. K., Jion, A. A., Ahsan, M., Chowdhury, J. I., Ahmed, M. R., Alam, S. B., & Haider, J. (2022). A Numerical Thermal Analysis of a Battery Pack in an Electric Motorbike Application. Designs, 6(4), Article 60. https://doi.org/10.3390/designs6040060
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 20, 2022 |
Online Publication Date | Jun 22, 2022 |
Publication Date | 2022-08 |
Deposit Date | Nov 22, 2024 |
Publicly Available Date | Nov 28, 2024 |
Journal | Designs |
Electronic ISSN | 2411-9660 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 6 |
Issue | 4 |
Article Number | 60 |
DOI | https://doi.org/10.3390/designs6040060 |
Public URL | https://nottingham-repository.worktribe.com/output/34874403 |
Publisher URL | https://www.mdpi.com/2411-9660/6/4/60 |
Files
A Numerical Thermal Analysis of a Battery Pack in an Electric Motorbike Application
(5.9 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
An Unbalanced Capacitor Voltage Buck Converter With Wide Soft Switching Range
(2023)
Journal Article
Impact of Grid Unbalances on Electric Vehicle Chargers
(2023)
Journal Article
An Isolated Multiport DC–DC Converter for Integrated Electric Vehicle On-Board Charger
(2023)
Journal Article
A comprehensive review of machine-integrated electric vehicle chargers
(2022)
Journal Article
A Critical Review on Charging Technologies of Electric Vehicles
(2022)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search