Towards enhanced remaining useful life prediction of lithium-ion batteries with uncertainty using optimized deep learning algorithm

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

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

A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery

Kailong Liu, Yunlong Shang, Quan Ouyang et al. · IEEE Transactions on Industrial Electronics · 2020 · 785 citations · Full text

Computing, Computational Engineering, Data Science +17

Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression

Jingwen Wei, Guangzhong Dong, Zonghai Chen · IEEE Transactions on Industrial Electronics · 2017 · 630 citations

Engineering, Chemical Engineering, Electrochemical Engineering +16

Lightning search algorithm

Hussain Shareef, Ahmad Asrul Ibrahim, Ammar Hussein Mutlag · Applied Soft Computing · 2015 · 417 citations