Lithium-Ion Battery State of Charge and State of Power Estimation Based on a Partial-Adaptive Fractional-Order Model in Electric Vehicles
Author:
Affiliation:
1. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia
Funder
Australian Government Research Training Program scholarship
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/10103730/09950529.pdf?arnumber=9950529
Reference31 articles.
1. Adaptive unscented Kalman filter based state of energy and power capability estimation approach for lithium-ion battery
2. Power capability prediction for lithium-ion batteries based on multiple constraints analysis
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4. State of Power Prediction for Lithium-Ion Batteries in Electric Vehicles via Wavelet-Markov Load Analysis
5. Batteries and battery management systems for electric vehicles
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