Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues and prospects

Data-driven prediction of battery cycle life before capacity degradation

Kristen Severson, Peter M. Attia, Norman Jin et al. · Nature Energy · 2019 · 2.9K citations · Full text

Engineering, Data Science, Lifecycle Engineering +15

Deep learning applications and challenges in big data analytics

Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar et al. · Journal Of Big Data · 2015 · 2.6K citations · Full text

Computing, Computer Science, Data Science +9

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Yongzhi Zhang, Rui Xiong, Hongwen He et al. · IEEE Transactions on Vehicular Technology · 2018 · 1.3K citations

Computing, Computer Science, Forecasting +16

Battery Lifetime Prognostics

Le Xu, Xianke Lin, Michael Pecht · Joule · 2020 · 1.2K citations · Full text

Critical review of state of health estimation methods of Li-ion batteries for real applications

Maitane Berecibar, I. Gandiaga, I. Villarreal et al. · Renewable and Sustainable Energy Reviews · 2015 · 1K citations

Engineering, Toxicology, Health Assessment +14