SOH Estimation of Lithium Batteries Based on New Health Factors and Optimized BP Neural Networks
Author:
Affiliation:
1. Xi’an University of Posts and Telecommunications,School of Electronic Engineering,Xi’an,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10280770/10280781/10281094.pdf?arnumber=10281094
Reference16 articles.
1. State of Health Estimation of Lithium Ion Batteries using Recurrent Neural Network and its Variants
2. Research on Data-Driven-Based Remaining Useful Life of Lithium-ion Battery
3. A SOH estimation method based on ICA peaks on temperature-robust and aging mechanism analysis under high temperature
4. State of health estimation of lithium-ion battery based on improved ant lion optimization and support vector regression
5. State of Charge (SoC) and State of Health (SoH) Estimation of Lithium-Ion Battery Using Dual Extended Kalman Filter Based on Polynomial Battery Model
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1. Review of SOH Prediction Methods for Lithium-Ion Batteries;2024 7th Asia Conference on Energy and Electrical Engineering (ACEEE);2024-07-20
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