A novel hybrid neural network-based SOH and RUL estimation method for lithium-ion batteries

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

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

State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures

Yinjiao Xing, Wei He, Michael Pecht et al. · Applied Energy · 2013 · 943 citations

Engineering, Chemical Engineering, Electrical Engineering +17

State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model

Hongwen He, Rui Xiong, Xiaowei Zhang et al. · IEEE Transactions on Vehicular Technology · 2011 · 788 citations

Engineering, Automotive Engineering, Systems Engineering +17

A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life

Lei Ren, Jiabao Dong, Xiaokang Wang et al. · IEEE Transactions on Industrial Informatics · 2020 · 663 citations

Computing, Computer Science, Industrial Engineering +17