GitHub - 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.

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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.

MIT license

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Input n Capacity.csv		Input n Capacity.csv
LICENSE		LICENSE
NeelDandiwala-ANN.pdf		NeelDandiwala-ANN.pdf
all-attributes-ann.py		all-attributes-ann.py
feature-analysis-ann.py		feature-analysis-ann.py
rul-lithium-ion-ann.py		rul-lithium-ion-ann.py
rul-lithium-ion-final.ipynb		rul-lithium-ion-final.ipynb

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MIT License

Copyright (c) 2022 Neel Dandiwala

Permission is hereby granted, free of charge, to any person obtaining a copy
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