State of Charge and State of Health estimation in large lithium-ion battery packs
Author:
Affiliation:
1. The Pennsylvania State University, University Park,Department of Mechanical Engineering,PA,USA,16802
2. Wabtec Corporation,Erie,PA,USA,16531
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10155646/10155787/10156326.pdf?arnumber=10156326
Reference25 articles.
1. One-shot parameter identification of the Thevenin’s model for batteries: Methods and validation
2. Enhanced online model identification and state of charge estimation for lithium-ion battery under noise corrupted measurements by bias compensation recursive least squares
3. Soc Estimation of the Lithium-Ion Battery Pack using a Sigma Point Kalman Filter Based on a Cell’s Second Order Dynamic Model
4. Online estimation of battery equivalent circuit model parameters and state of charge using decoupled least squares technique
5. Two‐layer online state‐of‐charge estimation of lithium‐ion battery with current sensor bias correction
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