An Adaptive Approach for Battery State of Charge and State of Power Co-Estimation With a Fractional-Order Multi-Model System Considering Temperatures
Author:
Affiliation:
1. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia
2. School of Electrical Engineering and Automation, Anhui University, Hefei, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10339106/10214480.pdf?arnumber=10214480
Reference54 articles.
1. A Battery Modeling Technique Based on Fusion of Hybrid and Adaptive Algorithms for Real-Time Applications in Pure EVs
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3. Simplification of physics-based electrochemical model for lithium ion battery on electric vehicle. Part II: Pseudo-two-dimensional model simplification and state of charge estimation
4. Adaptive Partial Differential Equation Observer for Battery State-of-Charge/State-of-Health Estimation Via an Electrochemical Model
5. Robust fractional-order proportional-integral observer for synchronization of chaotic fractional-order systems
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