Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression.
Sai LiHuajing FangBing ShiPublished in: Reliab. Eng. Syst. Saf. (2021)
Keyphrases
- support vector regression
- particle filter
- interacting multiple model
- data association
- estimation algorithm
- state estimation
- visual tracking
- importance sampling
- electric vehicles
- object tracking
- particle filtering
- kalman filter
- support vector
- motion model
- mean shift
- regression model
- kernel function
- state space
- appearance model
- support vector machine svm
- multiple objects
- target tracking
- constant velocity
- computationally efficient
- maximum likelihood
- support vector machine
- pattern recognition
- markov random field
- training data