Madani et al., 2024

Author

Madani et al.

Year of Publication

2024

Journal

Batteries

ISSN

2313-0105

Publisher

Multidisciplinary Digital Publishing Institute (MDPI) (Basel, Switzerland)

Indexing

Dimensions, DOAJ, Scopus, Compendex, DOE PAGES, ProQuest, Web of Science

It is important to note that battery technology and methodologies for determining battery parameters are continually evolving, and new AI and ML-based techniques are likely to emerge in the future. As of my last update, AI and ML applications were not yet widely integrated into commercial EVs and ESS, but ongoing research and development in this domain was occurring.

References

1Madani SS, Ziebert C, Vahdatkhah P, Sadrnezhaad SK. Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries. Batteries. 2024;10(6):204. doi:10.3390/batteries10060204