The lithium battery SOC estimation on square root unscented Kalman filter
Author:
Publisher
Elsevier BV
Subject
General Energy
Reference14 articles.
1. Towards a smarter battery management system for electric vehicle applications: A critical review of lithium-ion battery state of charge estimation;Ali;Energies,2019
2. State of charge dependency of graphitized-carbon-based reactions in a lithium-ion secondary cell studied by electrochemical impedance spectroscopy;Mendoza-Hernandez;Electrochim Acta,2014
3. Harmonic impedance measurement based on-line estimation for SOC of storage battery;Yimin;Electron Meas Technol,2015
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3. Advancing battery state of charge estimation in electric vehicles through deep learning: A comprehensive study using real-world driving data;Cleaner Energy Systems;2024-08
4. Estimation State of Charge for Lithium Battery Based on Adaptive Unscented Kalman Filter;2024 7th International Symposium on Autonomous Systems (ISAS);2024-05-07
5. An end-cloud collaboration for state-of-charge estimation of lithium-ion batteries based on extended Kalman filter and convolutional neural network (CNN)—long short-term memory (LSTM)—attention mechanism (AM);Journal of Renewable and Sustainable Energy;2024-03-01
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