Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Electrochemical Systems

Electrochemical Systems

Electrochemical systems provide a fascinating insight into the dynamic interplay of charged species within various phases. One notable example is the interaction between a membrane permeable to K⁺ ions but not to Cl⁻ ions, separating an aqueous KCl solution from pure water. As K⁺ ions diffuse through the membrane, they generate net charges on each phase, leading to a potential difference between them.Similarly, when a piece of Zn is immersed in an aqueous ZnSO₄ solution, the Zn metal, composed...

Interfacial Electrochemical Methods: Overview

Interfacial Electrochemical Methods: Overview

Interfacial electrochemical methods focus on the phenomena occurring at the boundary between an electrode and a solution, as opposed to bulk methods that concentrate on the solution's overall properties. These interfacial methods are classified as either static or dynamic based on the presence of a nonzero current in the electrochemical cell and the consistency of analyte concentrations. Static methods, such as potentiometry, measure the cell's potential without any significant current passing...

The Electrical Double Layer

The Electrical Double Layer

In the region where two bulk phases meet, an intricate electric charge distribution arises due to charge transfer, ion adsorption, molecular orientation, and charge distortion. This complex distribution is commonly referred to as the electrical double layer.When a solid electrode interfaces with ions in an electrolyte solution, the speed of electron transfer dictates the rates of oxidation and reduction. The electrode acquires a charge through the escape of atoms into the solution as cations or...

Electrospray Ionization (ESI) Mass Spectrometry

Electrospray Ionization (ESI) Mass Spectrometry

Higher molecular weight biomolecules are nonvolatile compounds that may decompose before ionizing or vaporizing during mass analysis with conventional electron impact ionization methods. Accordingly, electrospray ionization (ESI) is the favored method for vaporizing and ionizing biomolecules as it circumvents rapid fragmentation and enables the recording of mass signals for the entire biomolecule.
ESI utilizes electrical energy to transfer ions from the liquid phase of the sample into the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Membership-dependent polynomial fuzzy control of a positive discrete time system: A symbol transfer technique.

ISA transactions·2024

Same author

A processing platform for optoelectronic/optogenetic retinal prosthesis.

IEEE transactions on bio-medical engineering·2011

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 11, 2026

Precise Electrochemical Sizing of Individual Electro-Inactive Particles

Precise Electrochemical Sizing of Individual Electro-Inactive Particles

Published on: August 4, 2023

An algorithmic framework for full-order physics-based simulations of electrochemical impedance spectroscopy.

Toshan Wickramanayake¹, Kamyar Mehran²

¹Real Time Power and Control Systems Laboratory, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK. d.g.d.wickramanayake@qmul.ac.uk.

Communications Chemistry

|June 9, 2026

Summary

This study introduces a new MATLAB solver for simulating lithium-ion battery degradation using physics-based models. The efficient solver enhances simulated electrochemical impedance spectroscopy (sEIS) analysis for battery research.

More Related Videos

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation

Published on: October 10, 2018

In Situ Lithiated Reference Electrode: Four Electrode Design for In-operando Impedance Spectroscopy

In Situ Lithiated Reference Electrode: Four Electrode Design for In-operando Impedance Spectroscopy

Published on: September 12, 2018

Related Experiment Videos

Last Updated: Jun 11, 2026

Precise Electrochemical Sizing of Individual Electro-Inactive Particles

Precise Electrochemical Sizing of Individual Electro-Inactive Particles

Published on: August 4, 2023

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation

Published on: October 10, 2018

In Situ Lithiated Reference Electrode: Four Electrode Design for In-operando Impedance Spectroscopy

In Situ Lithiated Reference Electrode: Four Electrode Design for In-operando Impedance Spectroscopy

Published on: September 12, 2018

Area of Science:

Electrochemistry
Materials Science
Computational Modeling

Background:

Simulated electrochemical impedance spectroscopy (sEIS) is crucial for non-invasive lithium-ion battery (LiB) analysis.
Current physics-based LiB models, like the Electrochemical-Ageing-Capacitance (EAC) model, are complex, involving coupled partial and ordinary differential equations (PDEs/ODEs).
Efficient simulation of these models is essential for advancing sEIS applications in parameterization and degradation characterization.

Purpose of the Study:

To develop and validate a high-fidelity, efficient MATLAB-based solver for the full-order EAC model.
To transform the EAC model's complex PDE/ODE system into an ODE-only system for improved computational efficiency.
To provide an open-source tool for researchers to advance sEIS simulations in LiB analysis.

Main Methods:

Developed a custom 'ODE+iterative' solver framework in MATLAB.
Transformed the EAC model's governing equations from coupled PDEs/ODEs to a coupled ODE-only system.
Benchmarked the solver against state-of-the-art solvers in MATLAB and PyBaMM for accuracy and performance.

Main Results:

The proposed solver achieved less than 1% prediction error for most EAC model variables.
Demonstrated a 4x improvement in solving performance compared to standard MATLAB solvers.
Achieved competitive performance against PyBaMM for sEIS impedance spectra computation.
Successfully applied the solver in a case study for quantitative degradation characterization.

Conclusions:

The developed MATLAB solver offers an accurate and efficient tool for high-fidelity sEIS simulations of LiBs.
The transformation to an ODE-only system and the custom solver framework significantly enhance computational performance.
The open-source availability of the solver facilitates further research in LiB modeling, parameterization, and degradation analysis using sEIS.