A hybrid model based on support vector regression and differential evolution for remaining useful lifetime prediction of lithium-ion batteries

Statistical Learning Theory

Yuhai Wu, Vladimir Vapnik · Technometrics · 1999 · 27K citations

Computing, Computer Science, Machine Learning +12

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 · 746 citations

Engineering, Chemical Engineering, Electrochemical Engineering +15

Gaussian process regression for forecasting battery state of health

Robert R. Richardson, Michael A. Osborne, David A. Howey · Journal of Power Sources · 2017 · 675 citations · Full text

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A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation

Chao Hu, Byeng D. Youn, Jaesik Chung · Applied Energy · 2011 · 551 citations

Engineering, Computational Engineering, Systems Engineering +17

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