Aging Study of In-Use Lithium-Ion Battery Packs to Predict End of Life Using Black Box Model
In order to study the state of health (SOH) of unbalanced battery packs in real life, a thorough analysis is carried out using only data available and standard charging material. The possible relationships between the different parameters and how they affect aging are studied, leading to the identif...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/13/6557 |
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| author | Daniela Chrenko Manuel Fernandez Montejano Sudnya Vaidya Romain Tabusse |
| author_facet | Daniela Chrenko Manuel Fernandez Montejano Sudnya Vaidya Romain Tabusse |
| author_sort | Daniela Chrenko |
| collection | DOAJ |
| description | In order to study the state of health (SOH) of unbalanced battery packs in real life, a thorough analysis is carried out using only data available and standard charging material. The possible relationships between the different parameters and how they affect aging are studied, leading to the identification of five key parameters to indicate aging, as well as parameters influencing aging. Based on the measurement results, a simple black box model using evolutionary genetic algorithm is presented, which is used as end-of-life prediction model of the battery pack, successfully providing an approximate estimation of aging. This approach might thus be used for the supervision of battery systems during real-life use. |
| first_indexed | 2024-03-09T22:07:17Z |
| format | Article |
| id | doaj.art-44097baf38d04cfaaf7b7e541fe73513 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T22:07:17Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-44097baf38d04cfaaf7b7e541fe735132023-11-23T19:38:44ZengMDPI AGApplied Sciences2076-34172022-06-011213655710.3390/app12136557Aging Study of In-Use Lithium-Ion Battery Packs to Predict End of Life Using Black Box ModelDaniela Chrenko0Manuel Fernandez Montejano1Sudnya Vaidya2Romain Tabusse3FEMTO-ST Institute, Univ. Bourgogne Franche-Comté, UTBM, CNRS, 90000 Belfort, FranceFEMTO-ST Institute, Univ. Bourgogne Franche-Comté, UTBM, CNRS, 90000 Belfort, FranceFEMTO-ST Institute, Univ. Bourgogne Franche-Comté, UTBM, CNRS, 90000 Belfort, FranceFEMTO-ST Institute, Univ. Bourgogne Franche-Comté, UTBM, CNRS, 90000 Belfort, FranceIn order to study the state of health (SOH) of unbalanced battery packs in real life, a thorough analysis is carried out using only data available and standard charging material. The possible relationships between the different parameters and how they affect aging are studied, leading to the identification of five key parameters to indicate aging, as well as parameters influencing aging. Based on the measurement results, a simple black box model using evolutionary genetic algorithm is presented, which is used as end-of-life prediction model of the battery pack, successfully providing an approximate estimation of aging. This approach might thus be used for the supervision of battery systems during real-life use.https://www.mdpi.com/2076-3417/12/13/6557batteryanalysisaginginternal resistanceblack boxevolutionary algorithms |
| spellingShingle | Daniela Chrenko Manuel Fernandez Montejano Sudnya Vaidya Romain Tabusse Aging Study of In-Use Lithium-Ion Battery Packs to Predict End of Life Using Black Box Model Applied Sciences battery analysis aging internal resistance black box evolutionary algorithms |
| title | Aging Study of In-Use Lithium-Ion Battery Packs to Predict End of Life Using Black Box Model |
| title_full | Aging Study of In-Use Lithium-Ion Battery Packs to Predict End of Life Using Black Box Model |
| title_fullStr | Aging Study of In-Use Lithium-Ion Battery Packs to Predict End of Life Using Black Box Model |
| title_full_unstemmed | Aging Study of In-Use Lithium-Ion Battery Packs to Predict End of Life Using Black Box Model |
| title_short | Aging Study of In-Use Lithium-Ion Battery Packs to Predict End of Life Using Black Box Model |
| title_sort | aging study of in use lithium ion battery packs to predict end of life using black box model |
| topic | battery analysis aging internal resistance black box evolutionary algorithms |
| url | https://www.mdpi.com/2076-3417/12/13/6557 |
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