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Design and parametrization analysis of a reduced-order electrochemical model of graphite/LiFePO4 cells for SOC/SOH estimation

https://doi.org/10.1016/j.jpowsour.2012.12.120
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/aic.690210103openalex-snapshot
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inferredcites →https://doi.org/10.1016/b978-0-12-654658-3.50007-0openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.conengprac.2009.05.002openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.enconman.2007.03.015openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jpowsour.2004.02.033openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jpowsour.2005.05.070openalex-snapshot
Review of models for predicting the cycling performance of lithium ion batteries
inferredcites →https://doi.org/10.1016/j.jpowsour.2006.03.050openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jpowsour.2006.04.146openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jpowsour.2006.10.106openalex-snapshot
Electrochemical performance and kinetics of Li1+x(Co1/3Ni1/3Mn1/3)1−xO2 cathodes and graphite anodes in low-temperature electrolytes
inferredcites →https://doi.org/10.1016/j.jpowsour.2008.04.077openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jpowsour.2010.02.029openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jpowsour.2010.06.081openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jpowsour.2010.06.098openalex-snapshot
Dynamic electric behavior and open-circuit-voltage modeling of LiFePO4-based lithium ion secondary batteries
inferredcites →https://doi.org/10.1016/j.jpowsour.2010.06.107openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.matlet.2003.11.008openalex-snapshot
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inferredcites →https://doi.org/10.1103/physrevb.56.5302openalex-snapshot
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inferredcites →https://doi.org/10.1109/cca.2008.4629639openalex-snapshot
Lithium-ion battery state of charge estimation with a Kalman Filter based on a electrochemical model
inferredcites →https://doi.org/10.1109/ecce.2011.6064120openalex-snapshot
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inferredcites →https://doi.org/10.1109/tcst.2009.2027023openalex-snapshot
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inferredcites →https://doi.org/10.1109/vppc.2010.5729020openalex-snapshot
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inferredcites →https://doi.org/10.1137/1.9780898718713openalex-snapshot
Approximation of Large-Scale Dynamical Systems
inferredcites →https://doi.org/10.1149/1.1409397openalex-snapshot
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inferredcites →https://doi.org/10.1149/1.1773751openalex-snapshot
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inferredcites →https://doi.org/10.1149/1.1785012openalex-snapshot
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inferredcites →https://doi.org/10.1149/1.1838918openalex-snapshot
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inferredcites →https://doi.org/10.1149/1.1872737openalex-snapshot
Transport Properties of LiPF[sub 6]-Based Li-Ion Battery Electrolytes
inferredcites →https://doi.org/10.1149/1.2221597openalex-snapshot
Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell
inferredcites →https://doi.org/10.1149/1.2776128openalex-snapshot
Toward Real-Time Simulation of Physics Based Lithium-Ion Battery Models
inferredcites →https://doi.org/10.1149/1.2987767openalex-snapshot
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inferredcites →https://doi.org/10.1149/1.3049347openalex-snapshot
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inferredcites →https://doi.org/10.1149/1.3065083openalex-snapshot
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inferredcites →https://doi.org/10.1149/1.3425622openalex-snapshot
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inferredcites →https://doi.org/10.1149/1.3486082openalex-snapshot
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inferredcites →https://doi.org/10.1149/1.3515902openalex-snapshot
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inferredcites →https://doi.org/10.1149/1.3519059openalex-snapshot
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inferredcites →https://doi.org/10.1149/1.3567007openalex-snapshot
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inferredcites →https://doi.org/10.1149/2.058112jesopenalex-snapshot
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inferredcites →https://doi.org/10.23919/ecc.2009.7074544openalex-snapshot
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inferredcites →https://doi.org/10.5860/choice.42-1565openalex-snapshot
Electrochemical systems

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1002/ente.202401331openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/er.7403openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/est2.126openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/est2.542openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-61475-0_31openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-96-0232-2_24openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-96-6624-9_6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10553-023-01558-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-407947-2.00003-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-820778-9.00009-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.apenergy.2016.08.138openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.apenergy.2017.05.109openalex-snapshot
Evaluation of electrochemical models based battery state-of-charge estimation approaches for electric vehicles
inferred← citeshttps://doi.org/10.1016/j.apenergy.2021.117034openalex-snapshot
New data optimization framework for parameter estimation under uncertainties with application to lithium-ion battery
inferred← citeshttps://doi.org/10.1016/j.apenergy.2022.118521openalex-snapshot
Development and parameterization of a control-oriented electrochemical model of lithium-ion batteries for battery-management-systems applications
inferred← citeshttps://doi.org/10.1016/j.automatica.2024.112092openalex-snapshot
State estimation of solid-state batteries via a distributed parameter electrochemical model
inferred← citeshttps://doi.org/10.1016/j.carbpol.2014.03.052openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.conengprac.2022.105176openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.conengprac.2024.106228openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.electacta.2019.03.199openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.electacta.2019.05.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.electacta.2019.135239openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.electacta.2020.137604openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.electacta.2021.139391openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.electacta.2024.144360openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.enconman.2014.06.076openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2014.12.031openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2016.09.099openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2017.07.069openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2017.10.097openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2020.119662openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2020.119688openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2021.120024openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2021.122181openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2023.126992openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2024.132993openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115522openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ensm.2022.09.013openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ensm.2026.105459openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2015.10.004openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2016.07.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2018.11.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2019.101101openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2020.101404openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2020.101816openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2020.101837openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2021.102743openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2021.103388openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2022.104011openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2022.104980openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2022.105769openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2022.105951openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2023.107589openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2023.110103openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2024.110876openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2024.112703openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2024.113390openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2024.114086openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2024.114325openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2025.117773openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2025.117956openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2025.118621openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2025.118922openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.est.2026.121309openalex-snapshot
Battery management in electric vehicles: Advancements, charging standards, and associated challenges
inferred← citeshttps://doi.org/10.1016/j.est.2026.123203openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.etran.2024.100315openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ifacol.2017.08.1468openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ifacol.2019.09.090openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ifacol.2021.11.224openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ifacol.2021.11.227openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ifacol.2022.11.269openalex-snapshot
Reduced and Reformulated Electrochemical Model-based Detection and Isolation of Electrode-level Faults in Lithium-ion Battery Cells
inferred← citeshttps://doi.org/10.1016/j.ijhydene.2024.11.093openalex-snapshot
A comprehensive review of battery thermal management systems for electric vehicles: Enhancing performance, sustainability, and future trends
inferred← citeshttps://doi.org/10.1016/j.ijoes.2023.100137openalex-snapshot
Estimating the state of health of lithium-ion batteries based on a probability density function
inferred← citeshttps://doi.org/10.1016/j.jechem.2021.09.039openalex-snapshot
Time-frequency analysis of Li solid-phase diffusion in spherical active particles under typical discharge modes
inferred← citeshttps://doi.org/10.1016/j.jechem.2025.10.008openalex-snapshot
AI-augmented electrochemical model for lithium-ion battery: Recent advances and perspectives
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2014.12.127openalex-snapshot
Computationally efficient approach for solving time dependent diffusion equation with discrete temporal convolution applied to granular particles of battery electrodes
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2015.01.112openalex-snapshot
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
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2015.03.080openalex-snapshot
State of health estimation in composite electrode lithium-ion cells
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2015.06.014openalex-snapshot
Aging formula for lithium ion batteries with solid electrolyte interphase layer growth
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2015.07.028openalex-snapshot
A method for state-of-charge estimation of LiFePO4 batteries based on a dual-circuit state observer
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2015.09.005openalex-snapshot
A novel active battery equalization control with on-line unhealthy cell detection and cell change decision
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2016.01.059openalex-snapshot
Optimization and experimental validation of a thermal cycle that maximizes entropy coefficient fisher identifiability for lithium iron phosphate cells
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2016.02.041openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jpowsour.2016.06.030openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jpowsour.2016.07.036openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jpowsour.2017.03.060openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jpowsour.2017.03.061openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jpowsour.2017.09.049openalex-snapshot
A physics-based fractional order model and state of energy estimation for lithium ion batteries. Part I: Model development and observability analysis
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2017.11.094openalex-snapshot
Investigating the error sources of the online state of charge estimation methods for lithium-ion batteries in electric vehicles
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2020.227935openalex-snapshot
Co-estimation of lithium-ion battery state of charge and state of temperature based on a hybrid electrochemical-thermal-neural-network model
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2020.228093openalex-snapshot
Parameter identification of electrolyte decomposition state in lithium-ion batteries based on a reduced pseudo two-dimensional model with Padé approximation
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2020.228153openalex-snapshot
Systematic parameter identification of a control-oriented electrochemical battery model and its application for state of charge estimation at various operating conditions
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2020.228338openalex-snapshot
Analytical derivation and analysis of parameter sensitivity for battery electrochemical dynamics
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2021.229901openalex-snapshot
Parameter estimation of the Doyle–Fuller–Newman model for Lithium-ion batteries by parameter normalization, grouping, and sensitivity analysis
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2021.230034openalex-snapshot
Physics-informed neural networks for electrode-level state estimation in lithium-ion batteries
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2022.231889openalex-snapshot
Enhanced state-of-charge estimation of LiFePO4 batteries using an augmented physics-based model
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2022.231900openalex-snapshot
Physics-based, reduced order degradation model of lithium-ion batteries
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2022.232555openalex-snapshot
Nondestructive diagnostics and quantification of battery aging under different degradation paths
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2024.234781openalex-snapshot
Advances in battery state estimation of battery management system in electric vehicles
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2024.234918openalex-snapshot
A grey-box model with neural ordinary differential equations for the slow voltage dynamics of lithium-ion batteries: Application to single-cell experiments
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2024.235902openalex-snapshot
Navigating the intricacies: A critical review of numerical modeling in battery research and design
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2025.236608openalex-snapshot
A novel ensemble learning model for state of health estimation of lithium-ion batteries
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2025.237228openalex-snapshot
Investigation of an extended single particle model incorporating electrolyte kinetics, temperature effects, and side reactions for improved battery performance simulation under high charge/discharge rates and low-temperature
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2025.237365openalex-snapshot
Comparative performance analysis of numerical discretization methods for electrochemical model of lithium-ion batteries
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2025.237861openalex-snapshot
Physical-based reduced model of lithium-ion batteries dedicated to observer design for embedded applications
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2025.238703openalex-snapshot
An enhanced whale optimization algorithm for lithium-ion battery state of health estimation
inferred← citeshttps://doi.org/10.1016/j.matcom.2026.02.015openalex-snapshot
Advanced Lithium-ion battery models for electric vehicles: Assessing the optimal order reduction technique
inferred← citeshttps://doi.org/10.1016/j.measurement.2023.112597openalex-snapshot
Data-driven state of health estimation in retired battery based on low and medium-frequency electrochemical impedance spectroscopy
inferred← citeshttps://doi.org/10.1016/j.measurement.2023.113412openalex-snapshot
State of Health estimation method for lithium batteries based on electrochemical impedance spectroscopy and pseudo-image feature extraction
inferred← citeshttps://doi.org/10.1016/j.nxener.2025.100473openalex-snapshot
A novel approach for battery longevity through controlled surface lithium concentration gradient
inferred← citeshttps://doi.org/10.1016/j.procir.2022.02.076openalex-snapshot
State of health estimation of retired battery for echelon utilization based on charging curve
inferred← citeshttps://doi.org/10.1016/j.rser.2015.12.009openalex-snapshot
A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur
inferred← citeshttps://doi.org/10.1016/j.rser.2023.114264openalex-snapshot
Mathematical modelling of electrochemical, thermal and degradation processes in lithium-ion cells—A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.rser.2024.114915openalex-snapshot
Aging mechanisms, prognostics and management for lithium-ion batteries: Recent advances
inferred← citeshttps://doi.org/10.1016/j.rser.2025.115389openalex-snapshot
Low temperature heating methods for lithium-ion batteries: A state-of-art review based on knowledge graph
inferred← citeshttps://doi.org/10.1016/j.segan.2023.101197openalex-snapshot
Cloud-Battery management system based health-aware battery fast charging architecture using error-correction strategy for electric vehicles
inferred← citeshttps://doi.org/10.1016/j.seta.2020.100938openalex-snapshot
A computationally efficient model for performance prediction of lithium-ion batteries
inferred← citeshttps://doi.org/10.1088/1674-1056/ad1f52openalex-snapshot
A novel order-reduced thermal-coupling electrochemical model for lithium-ion batteries
inferred← citeshttps://doi.org/10.1109/acc.2013.6579915openalex-snapshot
Robustness evaluation for state-of-charge and state-of-health estimation considering electrochemical parameter uncertainties
inferred← citeshttps://doi.org/10.1109/acc.2014.6858617openalex-snapshot
A reduced order electrolyte enhanced single particle lithium ion cell model for hybrid vehicle applications
inferred← citeshttps://doi.org/10.1109/acc.2016.7525129openalex-snapshot
Pack-level current-split estimation for health monitoring in Li-ion batteries
inferred← citeshttps://doi.org/10.1109/access.2021.3089032openalex-snapshot
A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management
inferred← citeshttps://doi.org/10.1109/access.2021.3092743openalex-snapshot
Lithium-Ion Battery Ageing Behavior Pattern Characterization and State-of-Health Estimation Using Data-Driven Method
inferred← citeshttps://doi.org/10.1109/cdc.2013.6761126openalex-snapshot
Model-based state of charge estimation and observability analysis of a composite electrode lithium-ion battery
inferred← citeshttps://doi.org/10.1109/cdc.2015.7402829openalex-snapshot
A comparison of model order reduction techniques for electrochemical characterization of Lithium-ion batteries
inferred← citeshttps://doi.org/10.1109/esars-itec.2016.7841436openalex-snapshot
Battery pack design and optimization for the OSU Buckeye current 2016 electric racing motorcycle
inferred← citeshttps://doi.org/10.1109/etfg61999.2025.11401266openalex-snapshot
A Robust Physics-Informed Data-Driven Method for Li-Ion Battery Degradation Estimation
inferred← citeshttps://doi.org/10.1109/evs.2013.6914790openalex-snapshot
Towards advanced BMS algorithms development for (P)HEV and EV by use of a physics-based model of Li-ion battery systems
inferred← citeshttps://doi.org/10.1109/fuzz-ieee.2016.7737717openalex-snapshot
Battery diagnosis for electrical vehicles through semi-physical fuzzy models
inferred← citeshttps://doi.org/10.1109/ica.2017.8068416openalex-snapshot
RLS with optimum multiple adaptive forgetting factors for SoC and SoH estimation of Li-Ion battery
inferred← citeshttps://doi.org/10.1109/iceeat60471.2023.10425828openalex-snapshot
Enhancing Battery Degradation Prediction using Recurrent and Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/icems.2019.8921943openalex-snapshot
Operation Control Algorithm of ESS with High Reliability
inferred← citeshttps://doi.org/10.1109/iciba52610.2021.9688313openalex-snapshot
Lifetime prognostics of lithium-ion battery pack based on its early cycling data and complete degradation information of battery cells
inferred← citeshttps://doi.org/10.1109/iecon43393.2020.9254429openalex-snapshot
Comparative Study of State of Charge Estimation Under Different Open Circuit Voltage Test Conditions for Lithium-Ion Batteries
inferred← citeshttps://doi.org/10.1109/iros47612.2022.9981285openalex-snapshot
Energy-Aware Planning-Scheduling for Autonomous Aerial Robots
inferred← citeshttps://doi.org/10.1109/itec-ap.2017.8080786openalex-snapshot
A comparative study of three electrochemical battery models with different operating conditions
inferred← citeshttps://doi.org/10.1109/jiot.2024.3448626openalex-snapshot
Adaptive Multipersonalized Federated Learning for State of Health Estimation of Multiple Batteries
inferred← citeshttps://doi.org/10.1109/jsen.2023.3330123openalex-snapshot
A Multiparameter RUL Prediction Method for UAV Lithium-Ion Battery Based on Physical Information
inferred← citeshttps://doi.org/10.1109/jsen.2025.3572291openalex-snapshot
Estimating Lithium-Ion Battery Health Status: A Temporal Deep Learning Approach With Uncertainty Representation
inferred← citeshttps://doi.org/10.1109/jsyst.2019.2958967openalex-snapshot
Bidirectional Charging in V2G Systems: An In-Cell Variation Analysis of Vehicle Batteries
inferred← citeshttps://doi.org/10.1109/lcsys.2020.3042751openalex-snapshot
Electrode-Level State Estimation in Lithium-Ion Batteries via Kalman Decomposition
inferred← citeshttps://doi.org/10.1109/mie.2021.3100318openalex-snapshot
Model Order Reduction Techniques for Physics-Based Lithium-Ion Battery Management: A Survey
inferred← citeshttps://doi.org/10.1109/peac.2014.7038070openalex-snapshot
Research on modeling and state of charge estimation for lithium-ion battery
inferred← citeshttps://doi.org/10.1109/tcst.2015.2446947openalex-snapshot
Electrochemical Model-Based State of Charge and Capacity Estimation for a Composite Electrode Lithium-Ion Battery
inferred← citeshttps://doi.org/10.1109/tcst.2017.2692743openalex-snapshot
A Reduced-Order Model of a Lithium-Ion Cell Using the Absolute Nodal Coordinate Formulation Approach
inferred← citeshttps://doi.org/10.1109/tcst.2018.2838097openalex-snapshot
Identifiability and Parameter Estimation of the Single Particle Lithium-Ion Battery Model
inferred← citeshttps://doi.org/10.1109/tcst.2018.2885962openalex-snapshot
An Adaptive Observer Design for Real-Time Parameter Estimation in Lithium-Ion Batteries
inferred← citeshttps://doi.org/10.1109/tcst.2021.3071643openalex-snapshot
Estimation of Potentials in Lithium-Ion Batteries Using Machine Learning Models
inferred← citeshttps://doi.org/10.1109/tec.2019.2935700openalex-snapshot
An Enhanced Hybrid Battery Model
inferred← citeshttps://doi.org/10.1109/tec.2025.3535522openalex-snapshot
Weakly Supervised Battery SOH Estimation With Imprecise Intervals
inferred← citeshttps://doi.org/10.1109/tie.2017.2772154openalex-snapshot
Electrochemical Estimation and Control for Lithium-Ion Battery Health-Aware Fast Charging
inferred← citeshttps://doi.org/10.1109/tie.2018.2795521openalex-snapshot
Theoretical Analysis of Battery SOC Estimation Errors Under Sensor Bias and Variance
inferred← citeshttps://doi.org/10.1109/tie.2021.3112980openalex-snapshot
Parameter Estimation of Vehicle Batteries in V2G Systems: An Exogenous Function-Based Approach
inferred← citeshttps://doi.org/10.1109/tits.2024.3355436openalex-snapshot
A Battery Prognostics and Health Management Technique Based on Knee Critical Interval and Linear Complexity Self-Attention Transformer in Electric Vehicles
inferred← citeshttps://doi.org/10.1109/tiv.2024.3449334openalex-snapshot
Peer-to-Peer Personalized Federated Transfer Learning for Battery State of Health Estimation of Vehicles
inferred← citeshttps://doi.org/10.1109/tmech.2018.2798930openalex-snapshot
Model Predictive Control for Lithium-Ion Battery Optimal Charging
inferred← citeshttps://doi.org/10.1109/tte.2015.2426431openalex-snapshot
Health Monitoring of Li-Ion Battery Systems: A Median Expectation Diagnosis Approach (MEDA)
inferred← citeshttps://doi.org/10.1109/tte.2015.2492557openalex-snapshot
Current-Split Estimation in Li-Ion Battery Pack: An Enhanced Weighted Recursive Filter Method
inferred← citeshttps://doi.org/10.1109/tte.2020.3026962openalex-snapshot
A Reduced-Order Electrochemical Model for All-Solid-State Batteries
inferred← citeshttps://doi.org/10.1109/tte.2022.3191136openalex-snapshot
Beyond Battery State of Charge Estimation: Observer for Electrode-Level State and Cyclable Lithium With Electrolyte Dynamics
inferred← citeshttps://doi.org/10.1109/tte.2023.3313628openalex-snapshot
Fast State-of-Charge Estimation for Lithium-Ion Batteries Using a Simplified Electrochemical Model Without Initial State Restrictions
inferred← citeshttps://doi.org/10.1109/tte.2024.3391284openalex-snapshot
Temperature Estimation of Multiple Places for Lithium-Ion Batteries Based on Improved Electrochemical Thermal Modeling
inferred← citeshttps://doi.org/10.1109/tte.2025.3547740openalex-snapshot
BatteryCDE: A Transferable Future Capacity Estimation Method for Battery Degradation With Irregular Sampling and Missing Data
inferred← citeshttps://doi.org/10.1109/tte.2026.3658446openalex-snapshot
Learning Battery Aging Dynamics Using Physics-Informed Transformer
inferred← citeshttps://doi.org/10.1109/tte.2026.3679579openalex-snapshot
Battery State-of-Health Estimation Across Diverse Aging Conditions With Intra-Inter Cycle Fusion Perception
inferred← citeshttps://doi.org/10.1109/tte.2026.3696508openalex-snapshot
BatteryGPT: A Generative Pre-Training Method for Battery State-of-Health and Remaining Useful Life Estimations
inferred← citeshttps://doi.org/10.1109/tvt.2017.2738780openalex-snapshot
A Reduced-Order Electrochemical Model of Li-Ion Batteries for Control and Estimation Applications
inferred← citeshttps://doi.org/10.1109/tvt.2018.2880138openalex-snapshot
Electrothermal Modeling of Lithium-Ion Batteries for Electric Vehicles
inferred← citeshttps://doi.org/10.1109/vppc.2016.7791746openalex-snapshot
Parameter Estimation of Simplified Electrochemical Model under Multiple Temperatures
inferred← citeshttps://doi.org/10.1115/1.4026652openalex-snapshot
Reduced Order Impedance Models of Lithium Ion Batteries
inferred← citeshttps://doi.org/10.1115/1.4028154openalex-snapshot
A Temperature Dependent, Single Particle, Lithium Ion Cell Model Including Electrolyte Diffusion
inferred← citeshttps://doi.org/10.1115/1.4035743openalex-snapshot
Improving Lithium-Ion Battery Pack Diagnostics by Optimizing the Internal Allocation of Demand Current for Parameter Identifiability
inferred← citeshttps://doi.org/10.1115/1.4042987openalex-snapshot
A Review of State of Health Estimation of Energy Storage Systems: Challenges and Possible Solutions for Futuristic Applications of Li-Ion Battery Packs in Electric Vehicles
inferred← citeshttps://doi.org/10.1115/1.4050126openalex-snapshot
Extended Physics-Based Reduced-Order Capacity Fade Model for Lithium-Ion Battery Cells1
inferred← citeshttps://doi.org/10.1115/1.4050794openalex-snapshot
Parameter Identification for Electrochemical Models of Lithium-Ion Batteries Using Sensitivity Analysis
inferred← citeshttps://doi.org/10.1115/dscc2014-6082openalex-snapshot
Electrochemical-Thermal Modeling of Li-Ion Battery Packs
inferred← citeshttps://doi.org/10.1137/23m1580954openalex-snapshot
An Asymptotic Analysis of Space Charge Layers in a Mathematical Model of a Solid Electrolyte
inferred← citeshttps://doi.org/10.1146/annurev-control-053018-023643openalex-snapshot
Modeling and Estimation for Advanced Battery Management
inferred← citeshttps://doi.org/10.1149/1945-7111/ab8c83openalex-snapshot
Electrode State of Health Estimation for Lithium Ion Batteries Considering Half-cell Potential Change Due to Aging
inferred← citeshttps://doi.org/10.1149/1945-7111/ac6b5dopenalex-snapshot
A Tanks-in-Series Approach to Estimate Parameters for Lithium-Ion Battery Models
inferred← citeshttps://doi.org/10.1149/1945-7111/ac7751openalex-snapshot
Approximate Solutions for Determining Electrolyte Concentrations in Electrochemical Models of Lithium-Ion Batteries
inferred← citeshttps://doi.org/10.1149/1945-7111/ac8ee2openalex-snapshot
Electrochemical models: methods and applications for safer lithium-ion battery operation
inferred← citeshttps://doi.org/10.1149/1945-7111/ac8ee4openalex-snapshot
A Collaborative Estimation Scheme for Lithium-Ion Battery State of Charge and State of Health Based on Electrochemical Model
inferred← citeshttps://doi.org/10.1149/1945-7111/acf8ffopenalex-snapshot
Online State of Health Estimation with Deep Learning Frameworks Based on Short and Random Battery Charging Data Segments
inferred← citeshttps://doi.org/10.1149/1945-7111/ad11afopenalex-snapshot
Establishment of a Lithium-Ion Battery Model Considering Environmental Temperature for Battery State of Charge Estimation
inferred← citeshttps://doi.org/10.1149/1945-7111/ad24c2openalex-snapshot
Experimental Investigation of a 64 Ah Lithium-Ion Pouch Cell
inferred← citeshttps://doi.org/10.1149/1945-7111/ada068openalex-snapshot
Highly Accurate Simplification of Physics-Based Electrochemical Model of All-Solid-State Battery for Online State of Charge Estimation
inferred← citeshttps://doi.org/10.1149/1945-7111/ae1bdfopenalex-snapshot
State of Health Estimation for Lithium-Ion Batteries Based on Global Feature Extraction and KPCA-ISSA-LSSVM Model
inferred← citeshttps://doi.org/10.1149/1945-7111/ae6e21openalex-snapshot
An Electrochemical Parameter Identification Method for Power Batteries Based on an Improved Physics-Informed Neural Network
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