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Modeling of Lithium-ion Battery Considering Temperature and Aging Uncertainties

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Filter methods comparation for incremental capacity analysis in lithium-ion batteries health prediction

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Early Remaining Useful Life Prediction for Lithium-Ion Batteries Using a Gaussian Process Regression Model Based on Degradation Pattern Recognition

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Piecewise Model-Based Online Prognosis of Lithium-Ion Batteries Using Particle Filters

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A flexible battery capacity estimation method based on partial voltage curves and polynomial fitting

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Aging matrix visualizes complexity of battery aging across hundreds of cycling protocols

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An Online Remaining Useful Life Prediction Method With Adaptive Degradation Model Calibration

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Accelerated Life Testing Dataset for Lithium-Ion Batteries with Constant and Variable Loading Conditions

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Remaining Useful Lifetime Prediction of Lithium-Ion Batteries Based on Fragment Data and Trend Identification

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Towards fast multi-scale state estimation for retired battery reusing via Pareto-efficient

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An improved exponential model for predicting the remaining useful life of lithium-ion batteries

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Remaining Useful Life Prediction for Lithium-ion Battery Using Ensemble Learning Method

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Gaussian Process Regression based State of Health Estimation of Lithium-Ion Batteries using Indirect Battery Health Indicators

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Dual particle swarm optimization based data-driven state of health estimation method for lithium-ion battery

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Enhanced remaining useful life prediction of lithium-ion batteries using genetic algorithm-optimized backpropagation neural networks

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Peer-to-Peer Personalized Federated Transfer Learning for Battery State of Health Estimation of Vehicles

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