Rapid and sustainable battery health diagnosis for recycling pretreatment using fast pulse test and random forest machine learning

Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries

Kong Soon Ng, Chin‐Sien Moo, Yiping Chen et al. · Applied Energy · 2009 · 1.6K citations

Engineering, Chemical Engineering, Chemistry +14

Fast charging of energy-dense lithium-ion batteries

Chao‐Yang Wang, Teng Liu, Xiaoguang Yang et al. · Nature · 2022 · 909 citations

Engineering, Electrical Engineering, Materials Science +14

Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning

Yunwei Zhang, Qiaochu Tang, Yao Zhang et al. · Nature Communications · 2020 · 821 citations · Full text

Computing, Computer Science, Materials Science +17

A holistic aging model for Li(NiMnCo)O2 based 18650 lithium-ion batteries

Johannes Schmalstieg, Stefan Käbitz, Madeleine Ecker et al. · Journal of Power Sources · 2014 · 702 citations

Engineering, Materials Engineering, Materials Science +13

Machine Learning Benchmarks and Random Forest Regression

Mark R. Segal · eScholarship (California Digital Library) · 2004 · 682 citations · Full text

Computing, Computer Science, Machine Learning +16