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

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

616
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
616
Batteries and Fuel Cells03:12

Batteries and Fuel Cells

27.8K
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...
27.8K
Continuous Charge Distributions01:17

Continuous Charge Distributions

7.0K
Imagine a bucket of water. It contains many molecules, of the order of 1026 molecules. Thus, although it contains discrete elements (molecules) at the microscopic level, macroscopically, it can be considered continuous. Small volume elements of water, infinitesimal compared to the bulk of the bucket's volume, still contain many molecules. Under this framework, quantized matter is approximated as continuous for practical purposes.
The electric charge can also be subjected to an analogical...
7.0K

You might also read

Related Articles

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

Sort by
Same author

Identification of biomarkers of cerebral infarction related to ferroptosis and ubiquitin-proteasome system based on transcriptomics and the experimental validation.

Scientific reports·2026
Same author

The triglyceride-glucose index and C-reactive protein-triglyceride-glucose index as surrogate markers of vascular stiffness in prediabetes: a cross-sectional study.

BMC cardiovascular disorders·2026
Same author

Polyvascular subclinical atherosclerosis differs across metabolic dysfunction-associated fatty liver disease subtypes: a community-based cross-sectional study.

Nutrition, metabolism, and cardiovascular diseases : NMCD·2026
Same author

Machine learning evaluation of TyG-based metrics for arteriosclerosis progression.

Scientific reports·2026
Same author

Corrigendum to "Integration of metabolomics and transcriptomics reveals that Da Chuanxiong Formula improves vascular cognitive impairment via ACSL4/GPX4 mediated ferroptosis" [J. Ethnopharmacol. 325 (2024) 117868].

Journal of ethnopharmacology·2026
Same author

Multiple risk factors predict carotid intima media thickness in a 10 year prospective study.

Scientific reports·2026

Related Experiment Video

Updated: Aug 6, 2025

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

1.6K

State of charge estimation for lithium-ion battery based on whale optimization algorithm and multi-kernel relevance

Kui Chen1, Shuyuan Zhou2, Kai Liu1

  • 1School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China.

The Journal of Chemical Physics
|March 15, 2023
PubMed
Summary
This summary is machine-generated.

Accurate State of Charge (SOC) estimation for lithium-ion batteries is crucial. A novel Multi-Kernel Relevance Vector Machine (MKRVM) optimized by the Whale Optimization Algorithm (WOA) significantly enhances SOC estimation accuracy.

More Related Videos

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.5K
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

4.6K

Related Experiment Videos

Last Updated: Aug 6, 2025

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

1.6K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.5K
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

4.6K

Area of Science:

  • * Electrical Engineering
  • * Materials Science
  • * Computer Science

Background:

  • * Lithium-ion batteries are vital for electric vehicles and energy storage.
  • * Precise State of Charge (SOC) estimation is essential for battery management, safety, and longevity.
  • * Existing SOC estimation methods face challenges in accuracy and adaptability to diverse operating conditions.

Purpose of the Study:

  • * To develop an advanced method for accurate lithium-ion battery State of Charge (SOC) estimation.
  • * To leverage the Whale Optimization Algorithm (WOA) for optimizing a Multi-Kernel Relevance Vector Machine (MKRVM).
  • * To validate the proposed WOA-MKRVM model's performance across various operational scenarios.

Main Methods:

  • * Implementation of a Multi-Kernel Relevance Vector Machine (MKRVM) for SOC modeling.
  • * Utilization of the Whale Optimization Algorithm (WOA) to fine-tune MKRVM weights and kernel parameters.
  • * Experimental validation using three distinct lithium-ion batteries under varied operating conditions.

Main Results:

  • * The WOA demonstrated superior optimization capabilities compared to other algorithms, leading to more accurate SOC estimation.
  • * The multi-kernel approach significantly improved the precision of the SOC estimation model over single-kernel methods.
  • * The proposed WOA-MKRVM method achieved higher SOC estimation precision than traditional approaches.

Conclusions:

  • * The WOA-MKRVM model offers a robust and accurate solution for lithium-ion battery SOC estimation.
  • * The combination of MKRVM and WOA effectively addresses the complexities of battery behavior.
  • * This enhanced estimation accuracy supports improved battery energy management and operational safety.