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https://github.com/neel-dandiwala/lithium-batteries-rul-ann
An artificial neural network (ANN) based method is developed for achieving more accurate remaining useful life prediction of Lithium Ion batteries subject to condition monitoring. The ANN model takes the capacity attribute as a target against multiple measurement values as the inputs, and the life expectancy as the output.
https://github.com/neel-dandiwala/lithium-batteries-rul-ann
lithium-ion-batteries machine-learning remaining-useful-life-prediction
Last synced: 15 days ago
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An artificial neural network (ANN) based method is developed for achieving more accurate remaining useful life prediction of Lithium Ion batteries subject to condition monitoring. The ANN model takes the capacity attribute as a target against multiple measurement values as the inputs, and the life expectancy as the output.
- Host: GitHub
- URL: https://github.com/neel-dandiwala/lithium-batteries-rul-ann
- Owner: Neel-Dandiwala
- License: mit
- Created: 2022-09-19T12:16:14.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-09-19T12:19:51.000Z (over 2 years ago)
- Last Synced: 2024-11-07T01:31:14.168Z (2 months ago)
- Topics: lithium-ion-batteries, machine-learning, remaining-useful-life-prediction
- Language: Jupyter Notebook
- Homepage:
- Size: 507 KB
- Stars: 15
- Watchers: 1
- Forks: 4
- Open Issues: 0
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Metadata Files:
- License: LICENSE