A Review of Estimation Methods for the State of Energy of Lithium Batteries for Electric Vehicles
Author:
Affiliation:
1. School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences),Jinan,China
Funder
Natural science foundation of Shandong Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10294329/10294332/10294428.pdf?arnumber=10294428
Reference37 articles.
1. A Practical Lithium-Ion Battery Model for State of Energy and Voltage Responses Prediction Incorporating Temperature and Ageing Effects
2. A physics-based fractional order model and state of energy estimation for lithium ion batteries. Part II: Parameter identification and state of energy estimation for LiFePO 4 battery
3. A novel method for lithium-ion battery state of energy and state of power estimation based on multi-time-scale filter
4. A method for state of energy estimation of lithium-ion batteries based on neural network model
5. A Data-Driven Based State of Energy Estimator of Lithium-ion Batteries Used to Supply Electric Vehicles
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