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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

38
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
38
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

78
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
78
PD Controller: Design01:26

PD Controller: Design

163
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
163
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

146
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
146
Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

86
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
86
Multimachine Stability01:25

Multimachine Stability

128
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
128

You might also read

Related Articles

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

Sort by
Same author

An evolutionary chimp-based chimp-based metaheuristic of data clustering with intelligent learning system applications.

Scientific reports·2026
Same author

Decision-Flux Optimization-based energy management for battery-supercapacitor hybrid storage in electric vehicles: battery lifetime and efficiency enhancement.

Scientific reports·2026
Same author

Prediction of the axial capacity of various polygon-type section concrete-filled steel (CFST) columns utilising deep neural network and machine learning regressor.

Scientific reports·2026
Same author

VR-H2Safe: a VR-based hydrogen vehicle safety & efficiency optimization platform with V2X integration.

Scientific reports·2026
Same author

Reconstruction of dance movements using reinforcement recurrent autoencoder and deep wavelet autoencoder.

Scientific reports·2026
Same author

Intelligent power underwater wireless sensor networks for marine environmental monitoring using a hybrid marine predator-Henry gas solubility optimization approach.

Scientific reports·2026
Same journal

MT-MRI for detection of renal interstitial fibrosis in renovascular disease.

Scientific reports·2026
Same journal

Detection of underground objects from GPR data using a lightweight YOLO-based approach.

Scientific reports·2026
Same journal

Early systemic inflammatory-metabolic trajectory phenotypes are associated with survival outcomes in metastatic renal cell carcinoma treated with nivolumab.

Scientific reports·2026
Same journal

Water balance components in a dry-seeded rice-wheat system: Untangling the effects of tillage and mulching practices.

Scientific reports·2026
Same journal

Topological approaches to quantum tensor train compression via ZX-calculus and SVD.

Scientific reports·2026
Same journal

determinants of flood impacts and adaptive capacity among market vendors in Walukuba-Masese, Jinja city, Uganda.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: May 22, 2025

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.0K

A two phase differential evolution algorithm with perturbation and covariance matrix for PEMFC parameter estimation

Mohammad Aljaidi1, Pradeep Jangir2,3,4,5, Arpita6

  • 1Department of Computer Science, Faculty of Information Technology, Zarqa University, Zarqa, 13110, Jordan. mjaidi@zu.edu.jo.

Scientific Reports
|March 14, 2025
PubMed
Summary
This summary is machine-generated.

A new algorithm, PCM-DE, enhances Proton Exchange Membrane Fuel Cell (PEMFC) performance by improving parameter identification. This novel method offers superior accuracy and efficiency in fuel cell modeling.

Keywords:
Differential evolutionMetaheuristic algorithmsParameter identificationPerturbation mechanismProton exchange membrane fuel cell (PEMFC)

More Related Videos

A Guide to Concentration Alternating Frequency Response Analysis of Fuel Cells
11:18

A Guide to Concentration Alternating Frequency Response Analysis of Fuel Cells

Published on: December 11, 2019

6.6K
Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors
06:17

Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors

Published on: January 16, 2020

5.6K

Related Experiment Videos

Last Updated: May 22, 2025

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.0K
A Guide to Concentration Alternating Frequency Response Analysis of Fuel Cells
11:18

A Guide to Concentration Alternating Frequency Response Analysis of Fuel Cells

Published on: December 11, 2019

6.6K
Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors
06:17

Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors

Published on: January 16, 2020

5.6K

Area of Science:

  • Energy Systems Engineering
  • Computational Intelligence
  • Electrochemical Engineering

Background:

  • Accurate parameter identification is crucial for optimizing Proton Exchange Membrane Fuel Cell (PEMFC) performance and ensuring operational reliability.
  • Existing algorithms face challenges in achieving high accuracy and efficiency in PEMFC parameter estimation.

Purpose of the Study:

  • To propose a novel algorithm, PCM-DE, for enhanced parameter identification in PEMFCs.
  • To improve the accuracy, convergence speed, and robustness of PEMFC modeling through advanced evolutionary computation techniques.

Main Methods:

  • Developed the PCM-DE algorithm, integrating a perturbation mechanism and a covariance matrix-based stagnation indicator within a Differential Evolution framework.
  • Introduced a two-phase fitness-based parameter adaptation strategy and a perturbation mechanism targeting archived populations with a novel weight coefficient.
  • Validated PCM-DE against nine state-of-the-art algorithms using parameter estimation for six different PEMFC stacks.

Main Results:

  • PCM-DE consistently achieved the lowest minimum Sum of Squared Errors (SSE) across all tested PEMFC stacks, demonstrating superior accuracy.
  • The algorithm exhibited rapid convergence, high robustness with minimal standard deviations, and significant computational efficiency (runtime as low as 0.191303 s).
  • PCM-DE outperformed existing algorithms in accuracy, convergence speed, and consistency for PEMFC parameter estimation.

Conclusions:

  • PCM-DE is a highly effective algorithm for parameter identification in PEMFCs, significantly advancing modeling and optimization capabilities.
  • The proposed innovations in adaptation, perturbation, and stagnation detection contribute to its superior performance.
  • Future work will focus on applying PCM-DE to dynamic operating conditions and other energy systems for broader impact.