Amanote Research
Register
Sign In
Prognostics and Health Monitoring for Lithium-Ion Battery
doi 10.1109/isi.2011.5984090
Full Text
Open PDF
Abstract
Available in
full text
Date
July 1, 2011
Authors
Yinjiao Xing
Qiang Miao
K.-L. Tsui
Michael Pecht
Publisher
IEEE
Related search
Lithium-Ion Battery Prognostics With Hybrid Gaussian Process Function Regression
Energies
Control
Electronic Engineering
Energy Engineering
Renewable Energy
Energy
Fuel Technology
Sustainability
Optimization
Electrical
Power Technology
the Environment
Lithium-Ion Battery Cycling for Magnetism Control
Nano Letters
Materials Science
Condensed Matter Physics
Mechanical Engineering
Nanoscience
Bioengineering
Nanotechnology
Chemistry
Advanced Fault Diagnosis for Lithium-Ion Battery Systems
Strategies for Rechargeable Lithium-Ion Battery Management System
Acetonitrile-Based Electrolytes for Lithium-Ion Battery Application
Current Topics in Electrochemistry
Catalysis
Energy
Electrochemistry
Aircraft APU Starter Health Monitoring and Failure Prognostics
Characterization of Nanocathode Material for Rechargeable Lithium Ion Battery
International Journal of Engineering Research and
Prognostics of Lithium-Ion Batteries Based on Wavelet Denoising and DE-RVM
Computational Intelligence and Neuroscience
Medicine
Mathematics
Computer Science
Neuroscience
SnS2 Urchins as Anode Material for Lithium-Ion Battery
Electrochemistry
Electrochemistry