Computational fluid dynamic and thermal analysis of Lithium-ion battery pack with air cooling. (1st September 2016)
- Record Type:
- Journal Article
- Title:
- Computational fluid dynamic and thermal analysis of Lithium-ion battery pack with air cooling. (1st September 2016)
- Main Title:
- Computational fluid dynamic and thermal analysis of Lithium-ion battery pack with air cooling
- Authors:
- Saw, Lip Huat
Ye, Yonghuang
Tay, Andrew A.O.
Chong, Wen Tong
Kuan, Seng How
Yew, Ming Chian - Abstract:
- Highlights: We designed and analyzed the thermal behavior of the Li-ion battery pack. We analyzed the heat generation of 38, 120 Li-ion cell using ARC. We validated the simulation results with experimental studies. We developed the correlations of Nu and Re for the air cooling battery pack. Abstract: A battery pack is produced by connecting the cells in series and/or in parallel to provide the necessary power for electric vehicles (EVs). Those parameters affecting cost and reliability of the EVs, including cycle life, capacity, durability and warranty are highly dependent on the thermal management system. In this work, computational fluid dynamic analysis is performed to investigate the air cooling system for a 38, 120 cell battery pack. The battery pack contained 24 pieces of 38, 120 cells, copper bus bars, intake and exhaust plenum and holding plates with venting holes. Heat generated by the cell during charging is measured using an accelerating rate calorimeter. Thermal performances of the battery pack were analyzed with various mass flow rates of cooling air using steady state simulation. The correlation between Nu number and Re number were deduced from the numerical modeling results and compared with literature. Additionally, an experimental testing of the battery pack at different charging rates is conducted to validate the correlation. This method provides a simple way to estimate thermal performance of the battery pack when the battery pack is large and fullHighlights: We designed and analyzed the thermal behavior of the Li-ion battery pack. We analyzed the heat generation of 38, 120 Li-ion cell using ARC. We validated the simulation results with experimental studies. We developed the correlations of Nu and Re for the air cooling battery pack. Abstract: A battery pack is produced by connecting the cells in series and/or in parallel to provide the necessary power for electric vehicles (EVs). Those parameters affecting cost and reliability of the EVs, including cycle life, capacity, durability and warranty are highly dependent on the thermal management system. In this work, computational fluid dynamic analysis is performed to investigate the air cooling system for a 38, 120 cell battery pack. The battery pack contained 24 pieces of 38, 120 cells, copper bus bars, intake and exhaust plenum and holding plates with venting holes. Heat generated by the cell during charging is measured using an accelerating rate calorimeter. Thermal performances of the battery pack were analyzed with various mass flow rates of cooling air using steady state simulation. The correlation between Nu number and Re number were deduced from the numerical modeling results and compared with literature. Additionally, an experimental testing of the battery pack at different charging rates is conducted to validate the correlation. This method provides a simple way to estimate thermal performance of the battery pack when the battery pack is large and full transient simulation is not viable. … (more)
- Is Part Of:
- Applied energy. Volume 177(2016)
- Journal:
- Applied energy
- Issue:
- Volume 177(2016)
- Issue Display:
- Volume 177, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 177
- Issue:
- 2016
- Issue Sort Value:
- 2016-0177-2016-0000
- Page Start:
- 783
- Page End:
- 792
- Publication Date:
- 2016-09-01
- Subjects:
- Battery temperature -- CFD analysis -- Heat transfer correlation -- Heat generation -- Battery pack
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2016.05.122 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7358.xml