Comparison of a particle filter and other state estimation methods for prognostics of lithium-ion batteries

Bayesian Calibration of Computer Models

Marc C. Kennedy, Anthony O’Hagan · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2001 · 4.2K citations · Full text

Computing, Computer Science, Bayesian Data Analysis +11

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

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

Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs

Gregory L. Plett · Journal of Power Sources · 2006 · 381 citations

Engineering, Automotive Engineering, Electrical Engineering +16

Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab

Dawn An, Joo-Ho Choi, Nam Ho Kim · Reliability Engineering & System Safety · 2013 · 291 citations

Computing, Computational Engineering, Time Series Analysis +12