Remaining Lifetime Prediction of Lithium Battery Based on Support Vector Machine Kalman Filter
Author:
Affiliation:
1. State Grid Zhejiang Electric Vehicle Service Co., Ltd,Hangzhou,China
2. Zhejiang Huadian Equipment Testing and Research Institute Co., Ltd,Hangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10394673/10394683/10395057.pdf?arnumber=10395057
Reference10 articles.
1. Simultaneous optimization of renewable energy and energy storage capacity with hierarchical control
2. Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power Plants
3. Incremental Degradation Estimation Method for Online Assessment of Battery Operation Cost
4. Lifetime Prediction of Metallized Film Capacitors Based on Capacitance Loss
5. Advanced Machine Learning Approaches for State-of-Charge Prediction of Li-ion Batteries under Multisine Excitation
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