Jin, S.; Sui, X.; Huang, X.; Wang, S.; Teodorescu, R.; Stroe, D.-I.
Overview of Machine Learning Methods for Lithium-Ion Battery Remaining Useful Lifetime Prediction. Electronics 2021, 10, 3126.
https://doi.org/10.3390/electronics10243126
AMA Style
Jin S, Sui X, Huang X, Wang S, Teodorescu R, Stroe D-I.
Overview of Machine Learning Methods for Lithium-Ion Battery Remaining Useful Lifetime Prediction. Electronics. 2021; 10(24):3126.
https://doi.org/10.3390/electronics10243126
Chicago/Turabian Style
Jin, Siyu, Xin Sui, Xinrong Huang, Shunli Wang, Remus Teodorescu, and Daniel-Ioan Stroe.
2021. "Overview of Machine Learning Methods for Lithium-Ion Battery Remaining Useful Lifetime Prediction" Electronics 10, no. 24: 3126.
https://doi.org/10.3390/electronics10243126
APA Style
Jin, S., Sui, X., Huang, X., Wang, S., Teodorescu, R., & Stroe, D.-I.
(2021). Overview of Machine Learning Methods for Lithium-Ion Battery Remaining Useful Lifetime Prediction. Electronics, 10(24), 3126.
https://doi.org/10.3390/electronics10243126