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Characterising lithium-ion battery degradation through the identification and tracking of electrochemical battery model parameters
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Uddin, Kotub, Perera, Surak, Widanage, Widanalage Dhammika, Somerville, Limhi and Marco, James (2016) Characterising lithium-ion battery degradation through the identification and tracking of electrochemical battery model parameters. Batteries, 2 (2). p. 13. doi:10.3390/batteries2020013
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WRAP_1271878-wmg-260416-batteries-02-00013.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (4006Kb) | Preview |
Official URL: http://dx.doi.org/10.3390/batteries2020013
Abstract
Lithium-ion (Li-ion) batteries undergo complex electrochemical and mechanical degradation. This complexity is pronounced in applications such as electric vehicles, where highly demanding cycles of operation and varying environmental conditions lead to non-trivial interactions of ageing stress factors. This work presents the framework for an ageing diagnostic tool based on identifying and then tracking the evolution of model parameters of a fundamental electrochemistry-based battery model from non-invasive voltage/current cycling tests. In addition to understanding the underlying mechanisms for degradation, the optimisation algorithm developed in this work allows for rapid parametrisation of the pseudo-two dimensional (P2D), Doyle-Fuller-Newman, battery model. This is achieved through exploiting the embedded symbolic manipulation capabilities and global optimisation methods within MapleSim. Results are presented that highlight the significant reductions in the computational resources required for solving systems of coupled non-linear partial differential equations.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||
| Divisions: | Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
| Library of Congress Subject Headings (LCSH): | Lithium ion batteries -- Mathematical models | ||||||||
| Journal or Publication Title: | Batteries | ||||||||
| Publisher: | M D P I AG | ||||||||
| ISSN: | 2313-0105 | ||||||||
| Official Date: | 26 April 2016 | ||||||||
| Dates: |
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| Volume: | 2 | ||||||||
| Number: | 2 | ||||||||
| Page Range: | p. 13 | ||||||||
| DOI: | 10.3390/batteries2020013 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access | ||||||||
| Funder: | MapleSoft Europe Ltd., Innovate UK |
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