A Data-Driven Prediction Method for Lithium-ion Batteries based on Variational Bayes and Particle Filtering
Author:
Affiliation:
1. School of Automation, Chongqing University,Chongqing,400044
Funder
National Key Research and Development Project of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10606543/10606546/10606755.pdf?arnumber=10606755
Reference20 articles.
1. Health-Aware Multiobjective Optimal Charging Strategy With Coupled Electrochemical-Thermal-Aging Model for Lithium-Ion Battery
2. Economic Operation Optimization for 2nd Use Batteries in Battery Energy Storage Systems
3. Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review
4. Structure, dielectric and relaxor properties of Sr0.7Bi0.2TiO3K0.5Bi0.5TiO3 lead-free ceramics for energy storage applications
5. An Adaptive Energy Management Strategy to Extend Battery Lifetime of Solar Powered Wireless Sensor Nodes
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