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

Structural Classification of Joints01:20

Structural Classification of Joints

3.5K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.5K
Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

168
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
168
Dynamic Modulus of Elasticity of Concrete01:16

Dynamic Modulus of Elasticity of Concrete

357
The dynamic modulus of elasticity assesses how a concrete structure deforms under impact or dynamic loads. It is typically higher than the static modulus of elasticity, measured under slow, steady loading conditions.
The sonic test is a common method to determine the dynamic modulus. In this test, a concrete beam, sized either 6 x 6 x 30 inches or 4 x 4 x 20 inches, is clamped at its center. Vibrations are initiated at one end of the beam by an electromagnetic exciter unit powered by...
357
Residual Stresses in Bending01:18

Residual Stresses in Bending

178
In the study of elastoplastic members subjected to bending moments, understanding the loading and unloading phases is crucial for assessing material behavior and structural integrity. During the loading phase, as the bending moment increases, the material initially responds elastically, adhering to Hooke's Law, where stress is directly proportional to strain. When the load exceeds the yield strength, plastic deformation occurs, resulting in permanent strain and deformation that remains even...
178
Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

123
Analyzing a supported beam under unsymmetrical loadings is essential in structural engineering to understand how beams respond to varied force distributions. This analysis involves calculating the deflection and identifying points where the slope of the beam is zero, which are crucial for ensuring structural stability and functionality.
The first moment-area theorem determines the slope at any point on the beam. This theorem indicates that the change in slope between two points on a beam...
123
Method of Joints: Problem Solving II01:30

Method of Joints: Problem Solving II

592
Consider a truss structure with frictionless joints fixed to a wall and roller support. If a force of 150 N is applied to joint A, the forces in each member of the truss can be determined using the method of joints.
592

You might also read

Related Articles

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

Sort by
Same author

COX-2 inhibition improves immune system homeostasis and decreases liver damage in septic rats.

The Journal of surgical research·2009
Same author

Mass spectral characterization of organophosphate-labeled, tyrosine-containing peptides: characteristic mass fragments and a new binding motif for organophosphates.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences·2009
Same author

3D-SURFER: software for high-throughput protein surface comparison and analysis.

Bioinformatics (Oxford, England)·2009
Same author

Total arch replacement with stented elephant trunk technique: a proposed treatment for complicated Stanford type B aortic dissection.

Journal of cardiac surgery·2009
Same author

Top-emitting white organic light-emitting devices with a one-dimensional metallic-dielectric photonic crystal anode.

Optics letters·2009
Same author

[Detection of tick and tick-borne pathogen in some ports of Inner Mongolia].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2009

Related Experiment Video

Updated: Jul 11, 2025

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.7K

Vehicle State Joint Estimation Based on Lateral Stiffness.

Lingxiao Quan1,2, Ronglei Chang1, Changhong Guo1

  • 1School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.

Sensors (Basel, Switzerland)
|November 14, 2023
PubMed
Summary

This study introduces a novel joint estimator for electric vehicles, accurately estimating vehicle state and lateral stiffness using advanced Kalman filter algorithms. The LS-SRGHCKF method demonstrated superior effectiveness and robustness in simulations and experiments.

Keywords:
LS-GHCKF/SRGHCKFdouble lane changein-wheel motorsjoint estimatorlateral stiffnessrear-driverobustnessrunning states of electric vehiclesslalom

More Related Videos

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
08:08

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

Published on: May 8, 2014

16.8K
An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.0K

Related Experiment Videos

Last Updated: Jul 11, 2025

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.7K
Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
08:08

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

Published on: May 8, 2014

16.8K
An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.0K

Area of Science:

  • Vehicle dynamics and control systems
  • Estimation theory and algorithms
  • Electric vehicle (EV) technology

Background:

  • Accurate estimation of vehicle running states is crucial for advanced driver-assistance systems (ADAS) and vehicle control.
  • Traditional methods often struggle with real-time estimation of parameters like lateral stiffness, especially in electric vehicles (EVs).
  • In-wheel motor driven EVs present unique dynamics that necessitate specialized estimation techniques.

Purpose of the Study:

  • To develop and validate a joint estimation method for simultaneously estimating vehicle state and lateral stiffness in rear-drive, in-wheel motor EVs.
  • To improve the accuracy and robustness of vehicle state estimation using advanced filtering techniques.
  • To assess the performance of the proposed method through simulations and experimental validation.

Main Methods:

  • A three-degree-of-freedom nonlinear vehicle model was established, incorporating longitudinal velocity, lateral velocity, and yaw rate.
  • A linearized magic tire model was employed for lateral force calculation at low speeds.
  • A least-squares (LS) algorithm with a forgetting factor was designed for lateral stiffness estimation.
  • The generalized high-degree cubature Kalman filter (GHCKF) and its square root version (SRGHCKF) were utilized for vehicle state estimation.
  • A joint estimator combining LS and GHCKF/SRGHCKF algorithms was developed.

Main Results:

  • Simulations (double lane change, slalom) and low-speed driving experiments validated the joint estimator's accuracy.
  • The proposed LS-GHCKF/SRGHCKF algorithm accurately estimated real-time vehicle states, including lateral stiffness, longitudinal velocity, lateral velocity, and yaw rate.
  • The LS-SRGHCKF algorithm demonstrated superior effectiveness and robustness compared to the LS-GHCKF algorithm.
  • Experimental data from INS, GPS, RTK, and angle sensors confirmed the algorithm's feasibility.

Conclusions:

  • The developed vehicle state joint estimator, based on the LS-GHCKF/SRGHCKF algorithm, provides accurate real-time state estimation for electric vehicles.
  • The LS-SRGHCKF algorithm offers enhanced performance and robustness, making it suitable for practical EV applications.
  • This research contributes to improved vehicle control and safety through precise state and parameter estimation.