Lithium-ion battery remaining useful life estimation with an optimized Relevance Vector Machine algorithm with incremental learning

Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm

A. P. Dempster, N. M. Laird, Donald B. Rubin · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1977 · 49.7K citations

Public Health, Biostatistics, Bayesian Data Analysis +16

Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method

Wei He, Nicholas Williard, Michael Osterman et al. · Journal of Power Sources · 2011 · 1K citations

Computing, Computational Engineering, Bayesian Data Analysis +15

Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework

Bhaskar Saha, Kai Goebel, Scott Poll et al. · IEEE Transactions on Instrumentation and Measurement · 2008 · 810 citations

Engineering, Systems Engineering, Electrochemical Engineering +16

Dynamic lithium-ion battery model for system simulation

Lijun Gao, Shengyi Liu, Roger A. Dougal · IEEE Transactions on Components and Packaging Technologies · 2002 · 788 citations

Engineering, Mechanical Engineering, Systems Engineering +17

Fast Marginal Likelihood Maximisation for Sparse Bayesian Models

Michael E. Tipping, Anita Faul · 2003 · 726 citations

Computing, Computer Science, Data Science +17