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Online state-of-charge estimation of lithium-ion batteries using nonlinear ultrasonics with LSTM-based deep learning model

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inferredcites →https://doi.org/10.1002/ente.202200861openalex-snapshot
Ultrasound Propagation in Lithium‐Ion Battery Cell Materials: Basis for Developing Monitoring and Imaging Methods
inferredcites →https://doi.org/10.1002/er.7339openalex-snapshot
Modeling, state of charge estimation, and charging of lithium‐ion battery in electric vehicle: A review
inferredcites →https://doi.org/10.1007/bf02513302openalex-snapshot
Performance of short-time spectral parametric methods for reducing the variance of the Doppler ultrasound mean instantaneous frequency estimation
inferredcites →https://doi.org/10.1007/s10921-014-0273-5openalex-snapshot
Review of Second Harmonic Generation Measurement Techniques for Material State Determination in Metals
inferredcites →https://doi.org/10.1007/s11581-020-03869-yopenalex-snapshot
Guided wave imaging of thin lithium-ion pouch cell using scanning laser Doppler vibrometer
inferredcites →https://doi.org/10.1016/j.apenergy.2016.08.125openalex-snapshot
A novel ultrasonic velocity sensing approach to monitoring state of charge of vanadium redox flow battery
inferredcites →https://doi.org/10.1016/j.apenergy.2022.119469openalex-snapshot
A comprehensively optimized lithium-ion battery state-of-health estimator based on Local Coulomb Counting Curve
inferredcites →https://doi.org/10.1016/j.egyai.2022.100188openalex-snapshot
Battery state-of-charge estimation using machine learning analysis of ultrasonic signatures
inferredcites →https://doi.org/10.1016/j.ensm.2023.102915openalex-snapshot
In situ detection of lithium-ion batteries by ultrasonic technologies
inferredcites →https://doi.org/10.1016/j.est.2022.104124openalex-snapshot
A novel method of parameter identification and state of charge estimation for lithium-ion battery energy storage system
inferredcites →https://doi.org/10.1016/j.est.2022.104585openalex-snapshot
Quantitative characterisation of the layered structure within lithium-ion batteries using ultrasonic resonance
inferredcites →https://doi.org/10.1016/j.ijfatigue.2021.106582openalex-snapshot
Detection and localization of fatigue crack using nonlinear ultrasonic three-wave mixing technique
inferredcites →https://doi.org/10.1016/j.joule.2020.07.014openalex-snapshot
Ultrasonic Scanning to Observe Wetting and “Unwetting” in Li-Ion Pouch Cells
inferredcites →https://doi.org/10.1016/j.joule.2022.04.001openalex-snapshot
Mechanical properties of cathode materials for lithium-ion batteries
inferredcites →https://doi.org/10.1016/j.jpowsour.2008.08.103openalex-snapshot
State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge
inferredcites →https://doi.org/10.1016/j.jpowsour.2017.01.090openalex-snapshot
Probing lithium-ion batteries' state-of-charge using ultrasonic transmission – Concept and laboratory testing
inferredcites →https://doi.org/10.1016/j.jpowsour.2018.06.104openalex-snapshot
State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach
inferredcites →https://doi.org/10.1016/j.jpowsour.2022.232586openalex-snapshot
Model-based health-aware fast charging to mitigate the risk of lithium plating and prolong the cycle life of lithium-ion batteries in electric vehicles
inferredcites →https://doi.org/10.1016/j.jpowsour.2024.234544openalex-snapshot
Real-time and non-contact estimation of state of charge for lithium-ion battery using laser ultrasonics
inferredcites →https://doi.org/10.1016/j.ndteint.2018.02.001openalex-snapshot
Signal processing methods for second harmonic generation in thin specimens
inferredcites →https://doi.org/10.1016/j.ultrasmedbio.2009.06.1092openalex-snapshot
Decomposition of Two-Component Ultrasound Pulses in Cancellous Bone Using Modified Least Squares Prony Method – Phantom Experiment and Simulation
inferredcites →https://doi.org/10.1021/acsaem.2c00957openalex-snapshot
Investigation the Degradation Mechanisms of Lithium-Ion Batteries under Low-Temperature High-Rate Cycling
inferredcites →https://doi.org/10.1021/acsami.0c18185openalex-snapshot
Degradation Mechanism Study and Safety Hazard Analysis of Overdischarge on Commercialized Lithium-ion Batteries
inferredcites →https://doi.org/10.1021/acsenergylett.1c01324openalex-snapshot
Operando 2D Acoustic Characterization of Lithium-Ion Battery Spatial Dynamics
inferredcites →https://doi.org/10.1021/acsenergylett.1c02363openalex-snapshot
Evaluating Interfacial Stability in Solid-State Pouch Cells via Ultrasonic Imaging
inferredcites →https://doi.org/10.1038/s41467-023-35933-2openalex-snapshot
A non-academic perspective on the future of lithium-based batteries
inferredcites →https://doi.org/10.1038/s41598-019-55320-6openalex-snapshot
Unsupervised Pre-training of a Deep LSTM-based Stacked Autoencoder for Multivariate Time Series Forecasting Problems
inferredcites →https://doi.org/10.1039/c5ee00111kopenalex-snapshot
Electrochemical-acoustic time of flight: in operando correlation of physical dynamics with battery charge and health
inferredcites →https://doi.org/10.1063/5.0053632openalex-snapshot
Analytical modeling of the evolution of the nonlinearity parameter of sensitized stainless steel
inferredcites →https://doi.org/10.1109/tcst.2017.2664726openalex-snapshot
Neural Network-Based State of Charge Observer Design for Lithium-Ion Batteries
inferredcites →https://doi.org/10.1121/10.0002960openalex-snapshot
Nonlinear ultrasonic technique for the characterization of microstructure in additive materials
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