A new prognostics method for state of health estimation of lithium-ion batteries based on a mixture of Gaussian process models and particle filter

Title
A new prognostics method for state of health estimation of lithium-ion batteries based on a mixture of Gaussian process models and particle filter
Authors
Keywords
Lithium-ion batteries, State of health, Distribution learning, Mixture of Gaussian process model, Particle filter
Journal
MICROELECTRONICS RELIABILITY
Volume 55, Issue 7, Pages 1035-1045
Publisher
Elsevier BV
Online
2015-04-26
DOI
10.1016/j.microrel.2015.02.025

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