State of Health Estimation of Lithium Iron Phosphate Batteries Based on Degradation Knowledge Transfer Learning
Author:
Affiliation:
1. School of Electrical and Information Engineering, The University of Sydney, Darlington, NSW, Australia
2. School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6687316/10251026/10029904.pdf?arnumber=10029904
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4. An electrochemical model based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application
5. State of health battery estimator enabling degradation diagnosis: Model and algorithm description
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