Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Gaussian Processes Mixture.
PLoS One
; 11(9): e0163004, 2016.
Article
in En
| MEDLINE
| ID: mdl-27632176
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Electric Power Supplies
/
Lithium
/
Models, Theoretical
Type of study:
Prognostic_studies
/
Risk_factors_studies
Language:
En
Journal:
PLoS One
Journal subject:
CIENCIA
/
MEDICINA
Year:
2016
Document type:
Article
Affiliation country:
China