An indirect RUL prognosis for lithium-ion battery under vibration stress using Elman neural network

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 · 1.2K citations

Engineering, Machine Learning, Life Prediction +18

A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve

Duo Yang, Xu Zhang, Rui Pan et al. · Journal of Power Sources · 2018 · 712 citations

State Estimation, Nonlinear System Identification, Engineering +8

An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks

Ji Wu, Chenbin Zhang, Zonghai Chen · Applied Energy · 2016 · 511 citations

Engineering, Machine Learning, Data Science +13

Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks

Xiaoyu Li, Lei Zhang, Zhenpo Wang et al. · Journal of Energy Storage · 2018 · 429 citations

Electric Battery, Electrical Engineering, Engineering +12

Lithium-ion battery aging mechanisms and life model under different charging stresses

Yang Gao, Jiuchun Jiang, Caiping Zhang et al. · Journal of Power Sources · 2017 · 378 citations

Electric Battery, Electrical Engineering, Life Model +11