Reference health

A Physics-Informed Neural Network Approach to Parameter Estimation of Lithium-Ion Battery Electrochemical Model

https://doi.org/10.2139/ssrn.4879011
CiteStamped reference-health badge
33/33 checkable references clean · checked 2026-08-02

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

19 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 33 checked references that resolve
resolves10.1016/j.jechem.2023.07.040
Flexible path planning-based reconfiguration strategy for maximum capacity utilization of battery pack
resolves10.1016/j.jechem.2022.06.049
A review of deep learning approach to predicting the state of health and state of charge of lithium-ion batteries
resolves10.1109/TIE.2021.3091920
An Information Appraisal Procedure: Endows Reliable Online Parameter Identification to Lithium-Ion Battery Model
resolves10.1016/j.jechem.2023.02.022
Multi-time scale identification of key kinetic processes for lithium-ion batteries considering variable characteristic frequency
resolves10.1016/j.jechem.2023.02.019
Robust state of charge estimation of lithium-ion battery via mixture kernel mean p-power error loss LSTM with heap-based-optimizer
resolves10.1016/j.jechem.2023.01.036
Deep learning-based battery state of charge estimation: Enhancing estimation performance with unlabelled training samples
resolves10.1002/aic.690210103
Porous‐electrode theory with battery applications
resolves10.1149/1.2221597
Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell
resolves10.1149/1.2054868
Relaxation Phenomena in Lithium‐Ion‐Insertion Cells
resolves10.1149/2.0291607jes
LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control
resolves10.1016/j.jechem.2023.09.045
Physics-based battery SOC estimation methods: Recent advances and future perspectives
resolves10.1016/j.jpowsour.2013.04.129
A new extension of physics-based single particle model for higher charge–discharge rates
resolves10.1109/TCST.2016.2571663
Battery State Estimation for a Single Particle Model With Electrolyte Dynamics
resolves10.3390/batteries9030180
Lithium-Ion Battery State-of-Charge Estimation Using Electrochemical Model with Sensitive Parameters Adjustment
resolves10.1149/2.1301707jes
Optimal Charging of Li-Ion Batteries via a Single Particle Model with Electrolyte and Thermal Dynamics
resolves10.1016/S0013-4686(02)00363-8
Spurious potential dependence of diffusion coefficients in Li+ insertion electrodes measured with PITT
resolves10.1016/j.electacta.2009.12.079
Determination of lithium diffusion coefficient in LiFePO4 electrode by galvanostatic and potentiostatic intermittent titration techniques
resolves10.1149/1.2133112
Determination of the Kinetic Parameters of Mixed‐Conducting Electrodes and Application to the System Li3Sb
resolves10.1016/j.jpowsour.2020.228613
Consistent diffusivity measurement between Galvanostatic Intermittent Titration Technique and Electrochemical Impedance Spectroscopy
resolves10.1016/S0022-0728(01)00512-5
Investigation of LiMn2O4 cathodes for use in rechargeable lithium batteries by linear sweep voltammetry
resolves10.1149/1.2422896
Parameter Estimation and Model Discrimination for a Lithium-Ion Cell
resolves10.1016/j.jpowsour.2015.12.083
Electrochemical model parameter identification of a lithium-ion battery using particle swarm optimization method
resolves10.1016/j.jpowsour.2010.06.037
Electro-thermal battery model identification for automotive applications
resolves10.1016/j.est.2022.105951
A systematic approach for the parameter identification of electrochemical battery models enabling health-aware fast charging control of battery electric vehicles
resolves10.1115/1.4045090
Parameter Set Reduction and Ensemble Kalman Filtering for Engine Model Calibration
resolves10.1109/TII.2020.2974907
Constrained Ensemble Kalman Filter for Distributed Electrochemical State Estimation of Lithium-Ion Batteries
resolves10.1007/s00521-019-04132-w
A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems
resolves10.1016/j.ensm.2021.12.044
Enabling high-fidelity electrochemical P2D modeling of lithium-ion batteries via fast and non-destructive parameter identification
resolves10.1109/TII.2020.3038949
A Surrogate-Assisted Teaching-Learning-Based Optimization for Parameter Identification of the Battery Model
resolves10.1109/TIA.2016.2524438
Online Estimation of Lithium Polymer Batteries State-of-Charge Using Particle Filter-Based Data Fusion With Multimodels Approach
resolves10.1016/j.jpowsour.2012.07.075
One-dimensional physics-based reduced-order model of lithium-ion dynamics
resolves10.1016/j.jcp.2018.10.045
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
resolves10.1016/j.ins.2014.09.030
Competitive and cooperative particle swarm optimization with information sharing mechanism for global optimization problems
The 19 references without a DOI — listed, not checked
no DOI — not checkedEmpowering smart grid: A comprehensive review of energy storage technology and application with renewable energy integration
no DOI — not checkedRapid Lithium-Ion Battery Impedance Measurements Using Binary Sequence With Optimized Frequency Components
no DOI — not checkedData-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data
no DOI — not checkedOverview of Lithium-Ion battery modeling methods for state-of-charge estimation in electrical vehicles
no DOI — not checkedImplementation and evaluation of a practical electrochemical-thermal model of lithium-ion batteries for EV battery management system
no DOI — not checkedA Single Particle Model for Lithium-Ion Batteries with Electrolyte and Stress-Enhanced Diffusion Physics
no DOI — not checkedDevelopment of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models
no DOI — not checkedref24
no DOI — not checkedParameterization of a Physico-Chemical Model of a Lithium-Ion Battery
no DOI — not checkedDevelopment of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models
no DOI — not checkedRapid Impedance Extraction for Lithium-Ion Battery by Integrating Power Spectrum and Frequency Property
no DOI — not checkedA control-oriented electrochemical model for lithium-ion battery. Part II: Parameter identification based on reference electrode
no DOI — not checkedParameter identification of lithium-ion battery pseudo-2dimensional models using genetic algorithm and neural network cooperative optimization
no DOI — not checkedThermal-Coupled Single Particle Modeling and Multi-Objective Stepwise Parameter Identification of Lithium-Ion Batteries Over Different Temperatures
no DOI — not checkedStrategically switching metaheuristics for effective parameter estimation of electrochemical lithium-ion battery models
no DOI — not checkedSimulation and parameter identification based on electrochemical-thermal coupling model of power lithium ion-battery
no DOI — not checkedEfficient Global Sensitivity Analysis of 3D Multiphysics Model for Li-Ion Batteries
no DOI — not checkedGlobal Sensitivity Analysis on Temperature-Dependent Parameters of A Reduced-Order Electrochemical Model And Robust State-of-Charge Estimation at Different Temperatures
no DOI — not checkedSingle-Particle Model for a Lithium-Ion Cell: Thermal Behavior
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-08-02 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

Embed this badge

Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.

<a href="https://citestamp.com/citestamped/10.2139/ssrn.4879011"><img src="https://citestamp.com/citestamped/10.2139/ssrn.4879011/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.2139/ssrn.4879011/badge.svg)](https://citestamp.com/citestamped/10.2139/ssrn.4879011)