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Generalized Real-Time State of Health Prediction of Lithium-Ion Batteries Using Energy Discrepancy Aware Preprocessing and Simulation Model with Multi-Loss Attention Guided Multi-Bi-Lstm Network
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Robust State of Health estimation of lithium-ion batteries using convolutional neural network and random forest
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Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs
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Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility
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A novel health indicator for on-line lithium-ion batteries remaining useful life prediction
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Theory of battery ageing in a lithium-ion battery: Capacity fade, nonlinear ageing and lifetime prediction
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Multiple health indicators fusion-based health prognostic for lithium-ion battery using transfer learning and hybrid deep learning method
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Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review
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Data-driven prediction of battery cycle life before capacity degradation
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Bidirectional recurrent neural networks
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Machine Learning-Based Lithium-Ion Battery Capacity Estimation Exploiting Multi-Channel Charging Profiles
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Dynamic Equivalent Circuit Model to Estimate State-of-Health of Lithium-Ion Batteries
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Identification and quantification of ageing mechanisms in Lithium-ion batteries using the EIS technique
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State of Health Estimation of Lithium-Ion Battery Based on Constant-Voltage Charging Reconstruction
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Technological Developments in Batteries: A Survey of Principal Roles, Types, and Management Needs
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A Generic Cycle Life Model for Lithium-Ion Batteries Based on Fatigue Theory and Equivalent Cycle Counting
inferredcites →https://doi.org/10.1109/tie.2016.2618363openalex-snapshot
A Generic Electrothermal Li-ion Battery Model for Rapid Evaluation of Cell Temperature Temporal Evolution
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Digital Twin for Real-time Li-Ion Battery State of Health Estimation With Partially Discharged Cycling Data
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A Flexible State-of-Health Prediction Scheme for Lithium-Ion Battery Packs With Long Short-Term Memory Network and Transfer Learning
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Comparative Analysis of Features for Determining State of Health in Lithium-Ion Batteries
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Oxford Battery Degradation Dataset 1
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