The Library
The prismatic surface cell cooling coefficient : a novel cell design optimisation tool & thermal parameterization method for a 3D discretised electro-thermal equivalent-circuit model
Tools
Tools
Tools
Hua, Xiao, Heckel, Claas, Modrow, Nils, Zhang, Cheng, Hales, Alastair, Holloway, Justin, Jnawali, Anmol, Li, Shen, Yu, Yifei, Loveridge, Melanie, Shearing, Paul, Patel, Yatish, Marinescu, Monica, Tao, Liang and Offer, Gregory (2021) The prismatic surface cell cooling coefficient : a novel cell design optimisation tool & thermal parameterization method for a 3D discretised electro-thermal equivalent-circuit model. eTransportation, 7 . 100099. doi:10.1016/j.etran.2020.100099 ISSN 2590-1168.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: https://doi.org/10.1016/j.etran.2020.100099
Abstract
Thermal management of large format prismatic lithium ion batteries is challenging due to significant heat generation rates, long thermal ‘distances’ from the core to the surfaces and subsequent thermal gradients across the cell. The cell cooling coefficient (CCC) has been previously introduced to quantify how easy or hard it is to thermally manage a cell. Here we introduce its application to prismatic cells with a 90 Ah prismatic lithium iron phosphate cell with aluminium alloy casing. Further, a parameterised and discretised three-dimensional electro-thermal equivalent circuit model is developed in a commercially available software environment. The model is thermally and electrically validated experimentally against data including drive cycle noisy load and constant current CCC square wave load, with particular attention paid to the thermal boundary conditions. A quantitative study of the trade-off between cell energy density and surface CCC, and into casing material selection has been conducted here. The CCC enables comparison between cells, and the model enables a cell manufacturer to optimise the cell design and a systems developer to optimise the pack design. We recommend this is operated together holistically. This paper offers a cost-effective, time-efficient, convenient and quantitative way to achieve better and safer battery designs for multiple applications.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
| SWORD Depositor: | Library Publications Router | ||||||||
| Journal or Publication Title: | eTransportation | ||||||||
| Publisher: | Elsevier | ||||||||
| ISSN: | 2590-1168 | ||||||||
| Official Date: | February 2021 | ||||||||
| Dates: |
|
||||||||
| Volume: | 7 | ||||||||
| Article Number: | 100099 | ||||||||
| DOI: | 10.1016/j.etran.2020.100099 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
