Research graph
References from Modeling of non-linear dynamics and degradation characterization of lithium-ion batteries using delay-embedded dynamic mode decomposition. Local targets link to admitted publications; unresolved targets remain external evidence.
Autoregressive model-based parameter correlation for state of charge and state of health of lithium-ion batteries using built-in piezoelectric transducer induced ultrasonic waves
2025 · External reference
Unresolved reference
2009 · External reference
Design of multifunctional structural battery composites for the next generation of electric vehicles
2023 · External reference
A review of lithium-ion battery for electric vehicle applications and beyond
10.1016/j.egypro.2019.01.783 · 2019 · External reference
Use of lithium-ion batteries in electric vehicles
10.1016/s0378-7753(00)00402-x · 2000 · External reference
State of charge estimation for lithium-ion batteries based on battery model and data-driven fusion method
10.1016/j.energy.2023.130056 · 2024 · External reference
Impedance-based battery management system for safety monitoring of lithium-ion batteries
10.1109/tie.2017.2786199 · 2018 · External reference
A multi time-scale state-of-charge and state-of-health estimation framework using nonlinear predictive filter for lithium-ion battery pack with passive balance control
10.1016/j.jpowsour.2015.01.112 · 2015 · External reference
Micro-scale modeling of Li-ion batteries: Parameterization and validation
10.1149/2.096205jes · 2012 · External reference
Electrochemical reactions coupled multiphysics modeling for lithium ion battery with non-heterogeneous micro-scale electrodes structures
10.1016/j.est.2023.110050 · 2024 · External reference
Electrolyte decomposition and solid electrolyte interphase revealed by mass spectrometry
10.1016/j.electacta.2021.139362 · 2021 · External reference
Analysis of capacity fade in a lithium ion battery
10.1016/j.jpowsour.2005.02.033 · 2005 · External reference
Studies on capacity fade of lithium-ion batteries
10.1016/s0378-7753(00)00469-9 · 2000 · External reference
The importance of degradation mode analysis in parameterising lifetime prediction models of lithium-ion battery degradation
2025 · External reference
Evolution of parameters in the Doyle-Fuller-Newman model of cycling lithium ion batteries by multi-objective optimization
10.1016/j.apenergy.2022.118925 · 2022 · External reference
Degradation of lithium-ion batteries under automotive-like conditions: P2D model-based understanding and ex-situ validation
10.1016/j.etran.2025.100410 · 2025 · External reference
Decoding degradation: The synergy of partial differential equations and advanced predictive models for lithium-ion battery
10.1016/j.jpowsour.2024.235771 · 2025 · External reference
A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries
10.1016/j.electacta.2017.10.153 · 2018 · External reference
Coupling electrical parameters of a battery equivalent circuit model to electrodes dimensions
10.1016/j.jpowsour.2023.232690 · 2023 · External reference
A comprehensive equivalent circuit model for lithium-ion batteries, incorporating the effects of state of health, state of charge, and temperature on model parameters
10.1016/j.est.2021.103252 · 2021 · External reference
State estimation of an electrochemical lithium-ion battery model: improved observer performance by hybrid redesign
2023 · External reference
Nonlinear parameter estimation for capacity fade in lithium-ion cells based on a reduced-order electrochemical model
2012 · External reference
Dynamic equivalent circuit model to estimate state-of-health of lithium-ion batteries
10.1109/access.2022.3148528 · 2022 · External reference
State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge
10.1016/j.jpowsour.2008.08.103 · 2008 · External reference
Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries
10.1016/j.apenergy.2016.09.010 · 2016 · External reference
A distribution of relaxation time approach on equivalent circuit model parameterization to analyse Li-ion battery degradation
10.1109/tia.2024.3430268 · 2024 · External reference
Dynamic cycling enhances battery lifetime
2025 · External reference
State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network
10.1016/j.jpowsour.2021.230892 · 2022 · External reference
A novel method for state of health estimation of lithium-ion batteries based on improved LSTM and health indicators extraction
10.1016/j.energy.2022.123973 · 2022 · External reference
A self-attention-based CNN-Bi-LSTM model for accurate state-of-charge estimation of lithium-ion batteries
10.1016/j.est.2024.111524 · 2024 · External reference
Novel differential voltage features based machine learning approach to lithium-ion batteries SOH prediction at various C-rates
10.1016/j.energy.2025.137651 · 2025 · External reference
Predicting the state of charge and health of batteries using data-driven machine learning
10.1038/s42256-020-0156-7 · 2020 · External reference
Linear parameter-varying modeling and identification of lithium-ion battery for control-oriented applications
10.1016/j.jpowsour.2021.230304 · 2021 · External reference
Dynamic mode decomposition and its variants
10.1146/annurev-fluid-030121-015835 · 2022 · External reference
Sparse identification of nonlinear dynamics for model predictive control in the low-data limit
10.1098/rspa.2018.0335 · 2018 · External reference
Data-driven discovery of partial differential equations
10.1126/sciadv.1602614 · 2017 · External reference
An identification algorithm for polynomial NARX models based on simulation error minimization
10.1080/00207170310001635419 · 2003 · External reference
Stochastic identification of guided wave propagation under ambient temperature via non-stationary time series models
10.3390/s21165672 · 2021 · External reference
A functional series time-dependent framework for non-stationary modeling and statistical damage diagnosis via ultrasonic guided waves
10.1177/14759217251369342 · 2025 · External reference
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
10.1073/pnas.1517384113 · 2016 · External reference
Sparse identification of nonlinear dynamics with control (SINDYc)
10.1016/j.ifacol.2016.10.249 · 2016 · External reference
Dynamic mode decomposition with control
10.1137/15m1013857 · 2016 · External reference
Flow structures around a high-speed train extracted using proper orthogonal decomposition and dynamic mode decomposition
10.1016/j.compfluid.2011.12.012 · 2012 · External reference
Dynamical mode decomposition of Gurney flap wake flow
10.1063/2.1101202 · 2011 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
2024 · External reference
A characteristic dynamic mode decomposition
10.1007/s00162-019-00494-y · 2019 · External reference
Applications of the dynamic mode decomposition
2010 · External reference
Data-driven modeling for Li-ion battery using dynamic mode decomposition
10.1016/j.aej.2022.04.037 · 2022 · External reference
Data-driven prediction of battery cycle life before capacity degradation
10.1038/s41560-019-0356-8 · 2019 · External reference
State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures
10.1016/j.apenergy.2013.07.008 · 2014 · External reference
Unresolved reference
2015 · External reference
Unresolved reference
2015 · External reference
A characteristic dynamic mode decomposition
10.1007/s00162-019-00494-y · ExternalCitation · doi-reference
Data-driven modeling for Li-ion battery using dynamic mode decomposition
10.1016/j.aej.2022.04.037 · ExternalCitation · doi-reference
State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures
10.1016/j.apenergy.2013.07.008 · ExternalCitation · doi-reference
Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries
10.1016/j.apenergy.2016.09.010 · ExternalCitation · doi-reference
Evolution of parameters in the Doyle-Fuller-Newman model of cycling lithium ion batteries by multi-objective optimization
10.1016/j.apenergy.2022.118925 · ExternalCitation · doi-reference
Flow structures around a high-speed train extracted using proper orthogonal decomposition and dynamic mode decomposition
10.1016/j.compfluid.2011.12.012 · ExternalCitation · doi-reference
A review of lithium-ion battery for electric vehicle applications and beyond
10.1016/j.egypro.2019.01.783 · ExternalCitation · doi-reference
A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries
10.1016/j.electacta.2017.10.153 · ExternalCitation · doi-reference
Electrolyte decomposition and solid electrolyte interphase revealed by mass spectrometry
10.1016/j.electacta.2021.139362 · ExternalCitation · doi-reference
A novel method for state of health estimation of lithium-ion batteries based on improved LSTM and health indicators extraction
10.1016/j.energy.2022.123973 · ExternalCitation · doi-reference
State of charge estimation for lithium-ion batteries based on battery model and data-driven fusion method
10.1016/j.energy.2023.130056 · ExternalCitation · doi-reference
Novel differential voltage features based machine learning approach to lithium-ion batteries SOH prediction at various C-rates
10.1016/j.energy.2025.137651 · ExternalCitation · doi-reference
A comprehensive equivalent circuit model for lithium-ion batteries, incorporating the effects of state of health, state of charge, and temperature on model parameters
10.1016/j.est.2021.103252 · ExternalCitation · doi-reference
Electrochemical reactions coupled multiphysics modeling for lithium ion battery with non-heterogeneous micro-scale electrodes structures
10.1016/j.est.2023.110050 · ExternalCitation · doi-reference
A self-attention-based CNN-Bi-LSTM model for accurate state-of-charge estimation of lithium-ion batteries
10.1016/j.est.2024.111524 · ExternalCitation · doi-reference
Degradation of lithium-ion batteries under automotive-like conditions: P2D model-based understanding and ex-situ validation
10.1016/j.etran.2025.100410 · ExternalCitation · doi-reference
Sparse identification of nonlinear dynamics with control (SINDYc)
10.1016/j.ifacol.2016.10.249 · ExternalCitation · doi-reference
Analysis of capacity fade in a lithium ion battery
10.1016/j.jpowsour.2005.02.033 · ExternalCitation · doi-reference
State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge
10.1016/j.jpowsour.2008.08.103 · ExternalCitation · doi-reference
A multi time-scale state-of-charge and state-of-health estimation framework using nonlinear predictive filter for lithium-ion battery pack with passive balance control
10.1016/j.jpowsour.2015.01.112 · ExternalCitation · doi-reference
Linear parameter-varying modeling and identification of lithium-ion battery for control-oriented applications
10.1016/j.jpowsour.2021.230304 · ExternalCitation · doi-reference
State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network
10.1016/j.jpowsour.2021.230892 · ExternalCitation · doi-reference
Coupling electrical parameters of a battery equivalent circuit model to electrodes dimensions
10.1016/j.jpowsour.2023.232690 · ExternalCitation · doi-reference
Decoding degradation: The synergy of partial differential equations and advanced predictive models for lithium-ion battery
10.1016/j.jpowsour.2024.235771 · ExternalCitation · doi-reference
Use of lithium-ion batteries in electric vehicles
10.1016/s0378-7753(00)00402-x · ExternalCitation · doi-reference
Studies on capacity fade of lithium-ion batteries
10.1016/s0378-7753(00)00469-9 · ExternalCitation · doi-reference
Data-driven prediction of battery cycle life before capacity degradation
10.1038/s41560-019-0356-8 · ExternalCitation · doi-reference
Predicting the state of charge and health of batteries using data-driven machine learning
10.1038/s42256-020-0156-7 · ExternalCitation · doi-reference
Dynamical mode decomposition of Gurney flap wake flow
10.1063/2.1101202 · ExternalCitation · doi-reference
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
10.1073/pnas.1517384113 · ExternalCitation · doi-reference
An identification algorithm for polynomial NARX models based on simulation error minimization
10.1080/00207170310001635419 · ExternalCitation · doi-reference
Sparse identification of nonlinear dynamics for model predictive control in the low-data limit
10.1098/rspa.2018.0335 · ExternalCitation · doi-reference
Dynamic equivalent circuit model to estimate state-of-health of lithium-ion batteries
10.1109/access.2022.3148528 · ExternalCitation · doi-reference
A distribution of relaxation time approach on equivalent circuit model parameterization to analyse Li-ion battery degradation
10.1109/tia.2024.3430268 · ExternalCitation · doi-reference
Impedance-based battery management system for safety monitoring of lithium-ion batteries
10.1109/tie.2017.2786199 · ExternalCitation · doi-reference
Data-driven discovery of partial differential equations
10.1126/sciadv.1602614 · ExternalCitation · doi-reference
Dynamic mode decomposition with control
10.1137/15m1013857 · ExternalCitation · doi-reference
Dynamic mode decomposition and its variants
10.1146/annurev-fluid-030121-015835 · ExternalCitation · doi-reference
Micro-scale modeling of Li-ion batteries: Parameterization and validation
10.1149/2.096205jes · ExternalCitation · doi-reference
A functional series time-dependent framework for non-stationary modeling and statistical damage diagnosis via ultrasonic guided waves
10.1177/14759217251369342 · ExternalCitation · doi-reference
Stochastic identification of guided wave propagation under ambient temperature via non-stationary time series models
10.3390/s21165672 · ExternalCitation · doi-reference
