Lithium battery attenuation estimation method based on curvature analysis and segmented high-order Gaussian fitting
| Autor: | J Xu, G W Zu, F J Yu, S B Song, Y Yu, C H Cui, D B Sun |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Physics: Conference Series. 2276:012002 |
| ISSN: | 1742-6596 1742-6588 |
| DOI: | 10.1088/1742-6596/2276/1/012002 |
| Popis: | Lithium battery has been widely used in various areas, and accurate estimation of battery states is vital to efficient and safe application of batteries. Of all the states, life attenuation is essential to batteries. To improve the estimation accuracy of lithium battery life attenuation, a battery attenuation estimation method based on curvature analysis and segmented Gaussian fitting is designed. The designed method firstly utilizes Cardinal spline curve to smooth the battery attenuation curve. Then, a curvature analysis method is used to segment the life attenuation curve into different sections. Then, a least square linear fitting is used to fit the segmented curves. Except the segmented curve with better linear fitting performance, the remaining segmented curves are fitted with high-order Gaussian fitting. Experiments indicates that the designed method can accurately express the characteristics of different battery life stages. |
| Databáze: | OpenAIRE |
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