Remaining useful life prediction for lithium-ion batteries with an improved grey particle filter model

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

A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation

Meru A. Patil, Piyush Tagade, Krishnan S. Hariharan et al. · Applied Energy · 2015 · 617 citations

Engineering, Data Science, Energy Systems +15

Remaining useful life prediction of lithium-ion battery with unscented particle filter technique

Qiang Miao, Lei Xie, Hengjuan Cui et al. · Microelectronics Reliability · 2012 · 482 citations

Engineering, Materials Engineering, Materials Science +16

State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network

Penghua Li, Zijian Zhang, Qingyu Xiong et al. · Journal of Power Sources · 2020 · 442 citations

Computing, Computer Science, Machine Learning +15