Aging feature Extracting Strategy Considering Battery Usage Conditions and Optimized ELM-Based Accurate SOH Estimation
Author:
Affiliation:
1. China FAW Group Corporation,Changchun,China,130012
2. Harbin Institute of Technology,Department of Control Science and Engineering,Harbin,China,150001
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10239803.pdf?arnumber=10239803
Reference13 articles.
1. Scheduling of multi load AGVs in FMS by modified memetic particle swarm optimization algorithm
2. An online state of health estimation method based on battery management system monitoring data
3. Transient Electromagnetic Inversion: An ICDE-Trained Kernel Principal Component OSELM Approach
4. State of Health Estimation Based on OS-ELM for Lithium-ion Batteries
5. State of health prediction for lithium-ion battery using a gradient boosting-based data-driven method
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