Estimation of Lithium-ion Battery Health State Using Partial Charge-Discharge Data
Author:
Affiliation:
1. School of Engineering, Huzhou University,Huzhou,China
2. School of Intelligent Manufacturing, Huzhou College,Huzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649893/10651613/10651694.pdf?arnumber=10651694
Reference10 articles.
1. A fast estimation algorithm for lithium-ion battery state of health
2. Co-estimation of state of charge and state of health for lithium-ion batteries based on fractional-order model with multi-innovations unscented Kalman filter method
3. Co-estimating the state of charge and health of lithium batteries through combining a minimalist electrochemical model and an equivalent circuit model
4. State of health estimation of lithium-ion batteries based on equivalent circuit model and data-driven method
5. A novel fractional system grey prediction model with dynamic delay effect for evaluating the state of health of lithium battery
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