Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

434
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
434
Equivalent Capacitance01:19

Equivalent Capacitance

874
From the study of resistive circuits, it is understood that employing a series-parallel combination serves as an effective strategy for simplifying circuits. Capacitors can be arranged within a circuit in one of two ways: a series configuration or a parallel configuration. The way these capacitors are connected to a battery will influence both the potential drop across each individual capacitor and the size of the charge that each capacitor can store. This is determined by the specific type of...
874
Equivalent Capacitance01:19

Equivalent Capacitance

2.5K
Multiple capacitors can be connected in a circuit in series or parallel configuration. When the capacitor combination is connected to a battery, the potential drop across each capacitor and the magnitude of charge stored in the individual capacitor depends on the type of the connection. The capacitor combination is replaced by a single equivalent capacitor that stores the same amount of charge as the combination for a given potential difference.
The following strategies are adopted to calculate...
2.5K
Potentiometer01:30

Potentiometer

2.6K
Voltage and current measurements using a standard voltmeter and ammeter alter the circuit being measured either by drawing or resisting the current flow, which introduces uncertainties in the measurements. Null measurements balance the voltages so that no current flows through the measuring device and, therefore, no alterations occur in the measured circuit.
Suppose the emf of a battery needs to be measured. If the battery is directly connected to a standard voltmeter, the measured quantity is...
2.6K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

1.3K
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
1.3K
Power Dissipated in a Circuit: Problem Solving01:15

Power Dissipated in a Circuit: Problem Solving

1.9K
The equivalent resistance of a combination of resistors depends on their values and how they are connected.
The simplest combinations of resistors are series and parallel connections. In a series circuit, the first resistor's output current flows into the second resistor's input; therefore, each resistor's current is the same. Thus, the equivalent resistance is the algebraic sum of the resistances. The current through the circuit can be found from Ohm's law and is equal to the...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Long term outcomes following tibial plateau fracture fixation and risk factors for progression to total knee arthroplasty.

The Knee·2024
Same author

Research priorities of members of the British Association for Surgery of the Knee.

The bone & joint journal·2024
Same author

Corrigendum: Lithium-ion battery second life: pathways, challenges and outlook.

Frontiers in chemistry·2024
Same author

Lithium-ion battery second life: pathways, challenges and outlook.

Frontiers in chemistry·2024
Same author

Survivorship of high tibial osteotomy in the treatment of osteoarthritis of the knee: a retrospective cohort study with fourteen years' follow-up.

International orthopaedics·2023
Same author

Large scale immersion bath for isothermal testing of lithium-ion cells.

HardwareX·2022

Related Experiment Video

Updated: Apr 7, 2026

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation
08:41

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation

Published on: October 10, 2018

26.1K

How to parameterise an equivalent-circuit empirical battery model from time-domain data.

Mark Blyth1,2, Amey Gupta1,2, Alastair Hales1,2

  • 1University of Bristol, UK.

Methodsx
|April 6, 2026
PubMed
Summary

This study provides a best-practice guide for empirical battery model parameterization, focusing on experimental design and numerical optimization for accurate battery performance prediction. It ensures reliable battery modeling for applications like pack design and cell selection.

Keywords:
Battery modellingECMEquivalent circuitLithium ionParameter identificationSodium ion

More Related Videos

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

2.3K
Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

4.1K

Related Experiment Videos

Last Updated: Apr 7, 2026

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation
08:41

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation

Published on: October 10, 2018

26.1K
Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

2.3K
Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

4.1K

Area of Science:

  • Electrochemistry
  • Computational Modeling

Background:

  • Empirical battery models are crucial for applications like pack design and charge estimation.
  • Accurate model parameters are essential, but parameter fitting involves often-overlooked subtleties.
  • Existing literature frequently misses key aspects of robust parameterization.

Purpose of the Study:

  • To present a best-practice guide for empirical battery model parameterization.
  • To address subtleties in parameter fitting often missed in the literature.
  • To provide a generalizable method for users to select appropriate experimental and fitting setups.

Main Methods:

  • Designing appropriate experiments for data acquisition.
  • Utilizing numerical optimizers for fitting model parameters to experimental data.
  • Developing parameter functions through interpolation of fitted parameters.
  • Employing a multi-step parameterization process with gradually increasing model complexity.
  • Prioritizing timescales over capacitances for enhanced numerical stability.

Main Results:

  • A comprehensive guide for empirical battery model parameterization is presented.
  • Novel insights include the use of timescales for numerical stability and a multi-step fitting process.
  • A combined numerical and experimental design approach is detailed for optimal parameter estimation.
  • Provided scripts, data, and fitted parameters facilitate method testing and re-use.

Conclusions:

  • The presented method offers a reliable and generalizable approach to empirical battery model parameterization.
  • Adherence to best practices ensures accurate parameter estimation for diverse battery modeling applications.
  • The provided resources support the adoption and advancement of battery modeling techniques.