Multi-scale prediction of remaining useful life of lithium-ion batteries based on variational mode decomposition and integrated machine learning

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, Zhenpo Wang, Peng Dong · Journal of Energy Storage · 2018 · 435 citations

Computing, Materials Engineering, Materials Science +17

Polymers in Lithium‐Ion and Lithium Metal Batteries

Junheng Li, Yifeng Cai, Haomin Wu et al. · Advanced Energy Materials · 2021 · 343 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

Digital twin and cloud-side-end collaboration for intelligent battery management system

Yujie Wang, Ruilong Xu, Caijie Zhou et al. · Journal of Manufacturing Systems · 2021 · 210 citations

Engineering, Cloud Computing, Systems Engineering +16

Lithium-ion batteries remaining useful life prediction based on BLS-RVM

Zewang Chen, Na Shi, Yufan Ji et al. · Energy · 2021 · 195 citations

Engineering, Materials Engineering, Materials Science +14

A lead-acid battery's remaining useful life prediction by using electrochemical model in the Particle Filtering framework

Chao Lyu, Qingzhi Lai, Tengfei Ge et al. · Energy · 2016 · 190 citations

Engineering, Chemical Engineering, Materials Science +16