Modelling Lithium-Ion Battery Ageing in Electric Vehicle Applications—Calendar and Cycling Ageing Combination Effects
Battery ageing is an important issue in e-mobility applications. The performance degradation of lithium-ion batteries has a strong influence on electric vehicles’ range and cost. Modelling capacity fade of lithium-ion batteries is not simple: many ageing mechanisms can exist and interact....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Batteries |
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| Online Access: | https://www.mdpi.com/2313-0105/6/1/14 |
| _version_ | 1818143022101037056 |
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| author | Eduardo Redondo-Iglesias Pascal Venet Serge Pelissier |
| author_facet | Eduardo Redondo-Iglesias Pascal Venet Serge Pelissier |
| author_sort | Eduardo Redondo-Iglesias |
| collection | DOAJ |
| description | Battery ageing is an important issue in e-mobility applications. The performance degradation of lithium-ion batteries has a strong influence on electric vehicles’ range and cost. Modelling capacity fade of lithium-ion batteries is not simple: many ageing mechanisms can exist and interact. Because calendar and cycling ageings are not additive, a major challenge is to model battery ageing in applications where the combination of cycling and rest periods are variable as, for example, in the electric vehicle application. In this work, an original approach to capacity fade modelling based on the formulation of reaction rate of a two-step reaction is proposed. A simple but effective model is obtained: based on only two differential equations and seven parameters, it can reproduce the capacity evolution of lithium-ion cells subjected to cycling profiles similar to those found in electric vehicle applications. |
| first_indexed | 2024-12-11T11:25:03Z |
| format | Article |
| id | doaj.art-219159da75db4468bba6bd7835d0360d |
| institution | Directory Open Access Journal |
| issn | 2313-0105 |
| language | English |
| last_indexed | 2024-12-11T11:25:03Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Batteries |
| spelling | doaj.art-219159da75db4468bba6bd7835d0360d2022-12-22T01:09:02ZengMDPI AGBatteries2313-01052020-02-01611410.3390/batteries6010014batteries6010014Modelling Lithium-Ion Battery Ageing in Electric Vehicle Applications—Calendar and Cycling Ageing Combination EffectsEduardo Redondo-Iglesias0Pascal Venet1Serge Pelissier2AME-Eco7, Univ Gustave Eiffel, IFSTTAR, Univ Lyon, 69500 Bron, FranceERC GEST (IFSTTAR/Ampère Joint Research Team for Energy Management and Storage for Transport), 69500 Bron, FranceAME-Eco7, Univ Gustave Eiffel, IFSTTAR, Univ Lyon, 69500 Bron, FranceBattery ageing is an important issue in e-mobility applications. The performance degradation of lithium-ion batteries has a strong influence on electric vehicles’ range and cost. Modelling capacity fade of lithium-ion batteries is not simple: many ageing mechanisms can exist and interact. Because calendar and cycling ageings are not additive, a major challenge is to model battery ageing in applications where the combination of cycling and rest periods are variable as, for example, in the electric vehicle application. In this work, an original approach to capacity fade modelling based on the formulation of reaction rate of a two-step reaction is proposed. A simple but effective model is obtained: based on only two differential equations and seven parameters, it can reproduce the capacity evolution of lithium-ion cells subjected to cycling profiles similar to those found in electric vehicle applications.https://www.mdpi.com/2313-0105/6/1/14battery ageing modellithium-ion batteryelectric vehicle |
| spellingShingle | Eduardo Redondo-Iglesias Pascal Venet Serge Pelissier Modelling Lithium-Ion Battery Ageing in Electric Vehicle Applications—Calendar and Cycling Ageing Combination Effects Batteries battery ageing model lithium-ion battery electric vehicle |
| title | Modelling Lithium-Ion Battery Ageing in Electric Vehicle Applications—Calendar and Cycling Ageing Combination Effects |
| title_full | Modelling Lithium-Ion Battery Ageing in Electric Vehicle Applications—Calendar and Cycling Ageing Combination Effects |
| title_fullStr | Modelling Lithium-Ion Battery Ageing in Electric Vehicle Applications—Calendar and Cycling Ageing Combination Effects |
| title_full_unstemmed | Modelling Lithium-Ion Battery Ageing in Electric Vehicle Applications—Calendar and Cycling Ageing Combination Effects |
| title_short | Modelling Lithium-Ion Battery Ageing in Electric Vehicle Applications—Calendar and Cycling Ageing Combination Effects |
| title_sort | modelling lithium ion battery ageing in electric vehicle applications calendar and cycling ageing combination effects |
| topic | battery ageing model lithium-ion battery electric vehicle |
| url | https://www.mdpi.com/2313-0105/6/1/14 |
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