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

Batteries and Fuel Cells03:12

Batteries and Fuel Cells

28.9K
A battery is a galvanic cell that is used as a source of electrical power for specific applications. Modern batteries exist in a multitude of forms to accommodate various applications, from tiny button batteries such as those that power wristwatches to the very large batteries used to supply backup energy to municipal power grids. Some batteries are designed for single-use applications and cannot be recharged (primary cells), while others are based on conveniently reversible cell reactions that...
28.9K

You might also read

Related Articles

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

Sort by
Same author

SMARCA4 deficiency contributes to platinum resistance in non-small cell lung cancer by activating the NF-κB-BIRC2/BIRC3 signaling axis.

Journal of thoracic disease·2026
Same author

Three-Dimensional Facial Aesthetic Analysis of Oval and Rectangular Face Shapes in Han Chinese Women for Plastic Surgery Applications.

The Journal of craniofacial surgery·2026
Same author

New epidemiological characteristics of childhood IgA vasculitis in the post-COVID-19 era: a single-center retrospective cohort study.

Pediatric rheumatology online journal·2026
Same author

Preparation and mechanism of heterogeneous MX@MIL-125(Ti) towards sonodynamic therapy.

Colloids and surfaces. B, Biointerfaces·2026
Same author

How SNS sports contact motivation relates to interest, perceived sports value, and SNS-based sports engagement.

Acta psychologica·2026
Same author

Characterization of the complete mitochondrial genome and phylogenetic analysis of <i>Tetraselmis marina</i> (Cienkowski) R.E.Norris, Hori & Chihara 1980.

Mitochondrial DNA. Part B, Resources·2026

Related Experiment Video

Updated: Oct 26, 2025

The Effect of Charging and Discharging Lithium Iron Phosphate-graphite Cells at Different Temperatures on Degradation
10:41

The Effect of Charging and Discharging Lithium Iron Phosphate-graphite Cells at Different Temperatures on Degradation

Published on: July 18, 2018

15.7K

Prognostics for lithium-ion batteries using a two-phase gamma degradation process model.

Chun Pang Lin1,2, Man Ho Ling3, Javier Cabrera4

  • 1School of Data Science, City University of Hong Kong, Hong Kong.

Reliability Engineering & System Safety
|July 26, 2021
PubMed
Summary

This study introduces a new gamma process model to predict rechargeable battery health. The model accurately estimates battery charge and lifespan by analyzing voltage changes during discharge, outperforming capacity-based methods.

Keywords:
battery cycle agingdegradation modelinggamma processremaining useful life predictionstate of chargestate of life

More Related Videos

Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
11:25

Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway

Published on: March 7, 2022

4.8K
In Situ Neutron Powder Diffraction Using Custom-made Lithium-ion Batteries
11:25

In Situ Neutron Powder Diffraction Using Custom-made Lithium-ion Batteries

Published on: November 10, 2014

16.0K

Related Experiment Videos

Last Updated: Oct 26, 2025

The Effect of Charging and Discharging Lithium Iron Phosphate-graphite Cells at Different Temperatures on Degradation
10:41

The Effect of Charging and Discharging Lithium Iron Phosphate-graphite Cells at Different Temperatures on Degradation

Published on: July 18, 2018

15.7K
Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
11:25

Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway

Published on: March 7, 2022

4.8K
In Situ Neutron Powder Diffraction Using Custom-made Lithium-ion Batteries
11:25

In Situ Neutron Powder Diffraction Using Custom-made Lithium-ion Batteries

Published on: November 10, 2014

16.0K

Area of Science:

  • Battery degradation modeling
  • Reliability engineering
  • Electrical engineering

Background:

  • Rechargeable battery degradation impacts performance and lifespan.
  • Accurate state estimation is crucial for battery management systems.
  • Existing models often rely on capacity fade, which may not capture all aging phenomena.

Purpose of the Study:

  • To develop a novel two-phase gamma process model for battery cycle aging.
  • To model voltage-discharge curves for improved state estimation.
  • To accurately predict state of charge (SOC), remaining useful discharge time (RUT), state of life (SOL), and remaining useful life (RUL).

Main Methods:

  • A two-phase gamma process model with a fixed change-point was developed.
  • The model analyzes voltage-discharge curves under constant current.
  • Particle filter framework was used for state estimation.
  • Taylor expansion and Birnbaum-Saunders distribution were employed for analytical expressions.

Main Results:

  • The proposed model accurately predicts battery state of charge and remaining useful life.
  • Voltage-based modeling demonstrated superior accuracy compared to capacity-based models.
  • Experimental validation using lithium iron phosphate battery data confirmed model effectiveness.
  • Analytical expressions for mean useful discharge time showed good agreement with simulation results.

Conclusions:

  • The two-phase gamma process model offers a superior approach to battery degradation analysis.
  • Modeling voltage-discharge curves provides more accurate insights into battery aging than capacity fade alone.
  • The model enhances the prediction of battery state and lifespan, crucial for battery management.