An improved model combining machine learning and Kalman filtering architecture for state of charge estimation of lithium-ion batteries
Author:
Funder
Shanxi Provincial Key Research and Development Project
Shaanxi Province Key Research and Development Projects
Publisher
Elsevier BV
Reference42 articles.
1. A comprehensive review on the state of charge estimation for lithium-ion battery based on neural network;Cui;Int J Energy Res,2022
2. State estimation for advanced battery management: key challenges and future trends;Hu;Renewable Sustainable Energy Rev,2019
3. A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems;Wang;Renewable Sustainable Energy Rev,2020
4. Critical review on the battery state of charge estimation methods for electric vehicles;Xiong;IEEE Access,2017
5. A novel approach to reconstruct open circuit voltage for state of charge estimation of lithium-ion batteries in electric vehicles;Chen;Appl Energy,2019
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1. A Review on State-of-Charge Estimation Methods, Energy Storage Technologies and State-of-the-Art Simulators: Recent Developments and Challenges;World Electric Vehicle Journal;2024-08-23
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3. C-Rate- and Temperature-Dependent State-of-Charge Estimation Method for Li-Ion Batteries in Electric Vehicles;Energies;2024-06-28
4. State-of-charge estimation for supercapacitors based on salp swarm algorithm-optimized high and low degree cubature Kalman filters considering temperature uncertainty;Electrochimica Acta;2024-05
5. Enhancing Battery State of Charge Estimation Through a Combination of Extended Kalman Filter and Artificial Neural Network;Lecture Notes in Networks and Systems;2024
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