Battery Lifetime Prediction via Neural Networks with Discharge Capacity and State of Health

Jamila Hemdani, Laid Degaa, Moez Soltani, Nassim Rizoug, Achraf Jabeur Telmoudi, Abdelkader Chaari

Open source

DOI
10.3390/en15228558
Published
2022-11-16
Container
Energies
Publisher
MDPI AG
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/en15228558,
  title = {Battery Lifetime Prediction via Neural Networks with Discharge Capacity and State of Health},
  author = {Jamila Hemdani and Laid Degaa and Moez Soltani and Nassim Rizoug and Achraf Jabeur Telmoudi and Abdelkader Chaari},
  year = {2022},
  journal = {Energies},
  doi = {10.3390/en15228558},
  url = {https://doi.org/10.3390/en15228558}
}

RIS

TY  - JOUR
TI  - Battery Lifetime Prediction via Neural Networks with Discharge Capacity and State of Health
AU  - Jamila Hemdani
AU  - Laid Degaa
AU  - Moez Soltani
AU  - Nassim Rizoug
AU  - Achraf Jabeur Telmoudi
AU  - Abdelkader Chaari
PY  - 2022
JO  - Energies
DO  - 10.3390/en15228558
UR  - https://doi.org/10.3390/en15228558
ER  - 

APA

Hemdani, J., Degaa, L., Soltani, M., Rizoug, N., Telmoudi, A. J., & Chaari, A. (2022). Battery Lifetime Prediction via Neural Networks with Discharge Capacity and State of Health. Energies. https://doi.org/10.3390/en15228558

Source records