Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods
Getting accurate lifetime predictions for a particular cell chemistry remains a challenging process, largely dependent on time and cost-intensive experimental battery testing. This paper proposes a transfer learning (TL) method to develop LIB ageing models, which allow for the leveraging of experime...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/12/3/145 |
| _version_ | 1797516866158067712 |
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| author | Markel Azkue Mattin Lucu Egoitz Martinez-Laserna Iosu Aizpuru |
| author_facet | Markel Azkue Mattin Lucu Egoitz Martinez-Laserna Iosu Aizpuru |
| author_sort | Markel Azkue |
| collection | DOAJ |
| description | Getting accurate lifetime predictions for a particular cell chemistry remains a challenging process, largely dependent on time and cost-intensive experimental battery testing. This paper proposes a transfer learning (TL) method to develop LIB ageing models, which allow for the leveraging of experimental laboratory testing data previously obtained for a different cell technology. The TL method is implemented through Neural Networks models, using LiNiMnCoO<sub>2</sub>/C laboratory ageing data as a baseline model. The obtained TL model achieves an 1.01% overall error for a broad range of operating conditions, using for retraining only two experimental ageing tests of LiFePO<sub>4</sub>/C cells. |
| first_indexed | 2024-03-10T07:07:49Z |
| format | Article |
| id | doaj.art-892872bcd0034826bc56e6d14c8b0d91 |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-03-10T07:07:49Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-892872bcd0034826bc56e6d14c8b0d912023-11-22T15:42:40ZengMDPI AGWorld Electric Vehicle Journal2032-66532021-09-0112314510.3390/wevj12030145Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning MethodsMarkel Azkue0Mattin Lucu1Egoitz Martinez-Laserna2Iosu Aizpuru3Ikerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), P° J.M. Arizmendiarrieta 2, 20500 Arrasate-Mondragón, SpainIkerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), P° J.M. Arizmendiarrieta 2, 20500 Arrasate-Mondragón, SpainIkerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), P° J.M. Arizmendiarrieta 2, 20500 Arrasate-Mondragón, SpainDepartment of Electronics and Computer Science, Mondragon Unibertsitatea, 20120 Hernani, SpainGetting accurate lifetime predictions for a particular cell chemistry remains a challenging process, largely dependent on time and cost-intensive experimental battery testing. This paper proposes a transfer learning (TL) method to develop LIB ageing models, which allow for the leveraging of experimental laboratory testing data previously obtained for a different cell technology. The TL method is implemented through Neural Networks models, using LiNiMnCoO<sub>2</sub>/C laboratory ageing data as a baseline model. The obtained TL model achieves an 1.01% overall error for a broad range of operating conditions, using for retraining only two experimental ageing tests of LiFePO<sub>4</sub>/C cells.https://www.mdpi.com/2032-6653/12/3/145machine learningtransfer learninglithium-ion batteriescalendar ageingartificial neural network |
| spellingShingle | Markel Azkue Mattin Lucu Egoitz Martinez-Laserna Iosu Aizpuru Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods World Electric Vehicle Journal machine learning transfer learning lithium-ion batteries calendar ageing artificial neural network |
| title | Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods |
| title_full | Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods |
| title_fullStr | Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods |
| title_full_unstemmed | Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods |
| title_short | Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods |
| title_sort | calendar ageing model for li ion batteries using transfer learning methods |
| topic | machine learning transfer learning lithium-ion batteries calendar ageing artificial neural network |
| url | https://www.mdpi.com/2032-6653/12/3/145 |
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