Novel Table-based Kalman Filter for State of Charge Estimation of Batteries
Author:
Affiliation:
1. University of Windsor,Department of Electrical and Computer Engineering,Windsor,ON,Canada,N9B 3P4
2. University of Connecticut,Department of Electrical and Computer Engineering,Storrs,CT,USA,06269
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9999735/9999737/10000257.pdf?arnumber=10000257
Reference12 articles.
1. Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs
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3. A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation
4. State-of-charge estimation in lithium-ion batteries: A particle filter approach
5. On the Identification of Electrical Equivalent Circuit Models Based on Noisy Measurements
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