Estimating the State of Health of Lithium Ion Batteries using Neural Networks
Author:
Affiliation:
1. Misr International University,Faculty of Computer Science,Cairo,Egypt
2. Glasgow Caledonian University,School of Computing, Engineering and Built Environment,Glasgow,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10462248/10462249/10462423.pdf?arnumber=10462423
Reference15 articles.
1. A Review of Battery State of Health Estimation Methods: Hybrid Electric Vehicle Challenges
2. A Review of SOH Prediction of Li-Ion Batteries Based on Data-Driven Algorithms
3. Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction
4. Estimation of Online State of Charge and State of Health Based on Neural Network Model Banks Using Lithium Batteries
5. State of Health Estimation Methods for Lithium-Ion Batteries
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