Cell State-of-Charge Estimation for the Multi-cell Series-connected Battery Pack with Model bIas Correction Approach
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Elsevier BV
Reference6 articles.
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1. Improved State of Charge Estimation of a Lithium-Ion Battery Output: Application to Conventional Neural Network;Lecture Notes in Networks and Systems;2024
2. Comparative Study Between Unscented Kalman Filter and Multi-Layer Perceptron Applied in an Electric Vehicle Simulation with Pack Parameters Generated from the Database;2023 IEEE Vehicle Power and Propulsion Conference (VPPC);2023-10-24
3. An improved neural network model for battery smarter state-of-charge estimation of energy-transportation system;Green Energy and Intelligent Transportation;2023-04
4. State of Charge Estimation of the Lithium-Ion Battery Pack Based on Two Sigma-Point Kalman Filters;Lecture Notes in Networks and Systems;2022-09-27
5. Soc Estimation of the Lithium-Ion Battery Pack using a Sigma Point Kalman Filter Based on a Cell’s Second Order Dynamic Model;Applied Sciences;2020-03-10
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