State-of-charge Estimation of Li-ion Battery Cells based on Distribution of Relaxation Times and Gaussian Mixture Model
Author:
Affiliation:
1. Carthage University,Higher School of Communications of Tunis,Ariana,Tunisia,2083
2. Chemnitz University of Technology,Measurement and Sensor Technology, Faculty of Electrical Engineering and Information Technology,Chemnitz,Germany,09126
Funder
SPIE
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10302730/10302748/10302795.pdf?arnumber=10302795
Reference25 articles.
1. Lithium-sulfur battery diagnostics through distribution of relaxation times analysis
2. Evaluation of electrochemical impedance spectra by the distribution of relaxation times
3. Regularized Linear Kramers-Kronig Transform for Consistency Check of Noisy Impedance Spectra with Logarithmic Frequency Distribution
4. Streamlining-berechnung des erweiterten zeitkonstan-tendichtespektrums aus zeitdaten für die diagnose von lithium-ionen-batterien;büschel,2022
5. Generalized Distribution of Relaxation Times Analysis for the Characterization of Impedance Spectra
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