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[1]
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A Review of AI Applications in Lithium-Ion Batteries: From State-of-Health Estimations to Prognostics
Energies,
2026
DOI:10.3390/en19020562
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[2]
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SOH-KLSTM: A hybrid Kolmogorov-Arnold Network and LSTM model for enhanced Lithium-ion battery Health Monitoring
Journal of Energy Storage,
2025
DOI:10.1016/j.est.2025.116541
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[3]
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Deep transfer learning enabled online state-of-health estimation of lithium-ion batteries under small samples across different cathode materials, ambient temperature and charge-discharge protocols
Journal of Power Sources,
2025
DOI:10.1016/j.jpowsour.2025.237503
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[4]
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Self-Supervised Learning and Federated Learning for First-Life Batteries
2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium (ITEC+EATS),
2025
DOI:10.1109/ITEC63604.2025.11097917
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[5]
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A Hybrid Approach towards Remaining Useful Life Prediction of Li-ion Batteries of UAVs
2025 IEEE Space, Aerospace and Defence Conference (SPACE),
2025
DOI:10.1109/SPACE65882.2025.11171436
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[6]
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Application of Machine Learning Techniques for Predicting the State of Health of Lithium-Ion Batteries
2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH),
2024
DOI:10.1109/INFOTEH60418.2024.10495936
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[7]
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Forecasting material quantity using machine learning and times series techniques
Journal of Electrical Engineering,
2024
DOI:10.2478/jee-2024-0029
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[8]
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Fuzzy Logic Controller-based Efficient Li-ion Battery Charging System for Electrical Vehicles
2024 International Conference on Future Technologies for Smart Society (ICFTSS),
2024
DOI:10.1109/ICFTSS61109.2024.10691357
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[9]
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Hybrid Machine Learning Model for EV Battery SoC and SoH Prediction
2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT),
2024
DOI:10.1109/ICEEICT61591.2024.10718590
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[10]
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The State of Health Estimation of Lithium-ion Battery based Support Vector Regression-Particle Swarm Optimization Model
2024 IEEE 10th Information Technology International Seminar (ITIS),
2024
DOI:10.1109/ITIS64716.2024.10845424
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[11]
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Application of Intelligent Digital Technology in Load Forecasting of New Power Systems
2023 International Conference on Network, Multimedia and Information Technology (NMITCON),
2023
DOI:10.1109/NMITCON58196.2023.10276027
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[12]
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Models for Battery Health Assessment: A Comparative Evaluation
Energies,
2023
DOI:10.3390/en16020632
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