Article Versions Notes

Faraji Niri M, Aslansefat K, Haghi S, Hashemian M, Daub R, Marco J. A Review of the Applications of Explainable Machine Learning for Lithium–Ion Batteries: From Production to State and Performance Estimation. Energies. 2023; 16(17):6360. https://doi.org/10.3390/en16176360

Faraji Niri, Mona, Koorosh Aslansefat, Sajedeh Haghi, Mojgan Hashemian, Rüdiger Daub, and James Marco. 2023. "A Review of the Applications of Explainable Machine Learning for Lithium–Ion Batteries: From Production to State and Performance Estimation" Energies 16, no. 17: 6360. https://doi.org/10.3390/en16176360

Faraji Niri, M., Aslansefat, K., Haghi, S., Hashemian, M., Daub, R., & Marco, J. (2023). A Review of the Applications of Explainable Machine Learning for Lithium–Ion Batteries: From Production to State and Performance Estimation. Energies, 16(17), 6360. https://doi.org/10.3390/en16176360