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Applied Sciences
Special Issues
New Insights into Vehicle Structural Strength and Dynamics
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Special Issue "New Insights into Vehicle Structural Strength and Dynamics"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: 20 August 2023 | Viewed by 1071

Special Issue Editors

Dr. Honghao Zhang

E-Mail Website
Guest Editor
School of Mechanical Engineering, Shandong University, Jinan 250061, China
Interests: vehicle structural strength; multidisciplinary optimization; MCDM
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Yong Peng

E-Mail Website
Guest Editor
School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China
Interests: traffic and vehicle crash safety; traffic accident analysis; simulation; optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Vehicle structural strength and dynamics is a field of applied research, including areas such as materials science, structure design, physics, and of course, dynamics. The research subject involves road-, rail- and other ground-based vehicle systems and their components. As vehicles become more light weight, intelligent, and comfortable, the industry is placing increasing demands on the structural strength and dynamics of these vehicles. The growth of computational capacities has led to further research in this field and more industrial applications. Many advanced technologies have been applied to the field of vehicle structural strength and dynamics, such as topology optimization, advanced control theory, numerical simulation, data-driven ones, evolutionary computation, and deep learning.

This Special Issue on “New Insights into Vehicle Structural Strength and Dynamics” aims to incorporate the latest research progress relating to vehicle structural strength and dynamics analysis, and advanced materials, structures, and design methods. Topics include, but are not limited to, the following:

  • Novel computer-aided modelling and simulation for the validation of vehicle strength and dynamics;
  • Rapid prototyping, analytical and numerical simulation technologies of materials with novel mechanical properties;
  • Advanced control systems for improving vehicle dynamics;
  • Performance analysis techniques for different key indicators of vehicle structures;
  • Multidisciplinary optimization methods of advanced vehicle structures;
  • Other related research topics.

Dr. Honghao Zhang
Prof. Dr. Yong Peng
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • vehicle structural strength
  • vehicle system dynamics
  • modelling
  • advanced material
  • control system
  • performance analysis techniques
  • multidisciplinary optimization method

Published Papers (2 papers)

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Article
State-of-Charge Prediction Model for Ni-Cd Batteries Considering Temperature and Noise
by
Haiming Xu
,
Tianjian Yu
,
Chunyang Chen
and
Xun Wu
Appl. Sci. 2023, 13(11), 6494; https://doi.org/10.3390/app13116494 - 26 May 2023
Viewed by 240
Abstract
The accurate prediction of the state of charge (SOC) of Ni-Cd batteries is critical for developing battery management systems for high-speed trains. To address the challenges of the large floating charge voltage of Ni-Cd batteries and the vulnerability of a battery’s SOC to [...] Read more.
The accurate prediction of the state of charge (SOC) of Ni-Cd batteries is critical for developing battery management systems for high-speed trains. To address the challenges of the large floating charge voltage of Ni-Cd batteries and the vulnerability of a battery’s SOC to environmental factors such as temperature, this paper proposes an adaptive adjustment mechanism-based particle swarm optimization (APSO) generalized regression neural network (GRNN) model. The proposed model introduces the concept of the particle aggregation degree to quantify the convergence of the particle swarm optimization (PSO) algorithm. Furthermore, the speed weight of the particle swarm is adaptively adjusted using a comprehensive loss function to optimize the parameters of the GRNN model. To validate the proposed method, simulation experiments are conducted under test conditions using Ni-Cd batteries, and the prediction accuracies of various algorithms are compared. The experimental results demonstrate that the APSO-GRNN model significantly reduces the model’s prediction error. In addition, under the influence of different temperatures and noises, this method demonstrates strong robustness and high practical application value by accurately predicting the SOC, even with limited data samples. Full article
(This article belongs to the Special Issue New Insights into Vehicle Structural Strength and Dynamics)
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Article
Wind Speed Measurement via Visual Recognition of Wind-Induced Waving Light Stick Target
by
Wei Zhou
,
Aliyu Kasimu
,
Yitong Wu
,
Mingzan Tang
,
Xifeng Liang
and
Chen Jiang
Appl. Sci. 2023, 13(9), 5375; https://doi.org/10.3390/app13095375 - 25 Apr 2023
Viewed by 601
Abstract
Wind measurement in confined spaces is a challenge due to the influence of the dimensions of anemometers in intrusive flow-field measurements where the anemometer probes directly contact and influence the near-probe flow field. In this work, a new wind speed detection methodology is [...] Read more.
Wind measurement in confined spaces is a challenge due to the influence of the dimensions of anemometers in intrusive flow-field measurements where the anemometer probes directly contact and influence the near-probe flow field. In this work, a new wind speed detection methodology is proposed based on wind-induced motion of a stick via vision-based recognition. The target’s displacement in pixel coordinates is mapped to its angular displacement in world coordinates to derive wind speed and direction information by applying the calibration coefficients. Simulation experiments were carried out to validate the model, the error of which was within an angular displacement of 4.0° and 3.0° for wind speed and direction detections, respectively. When applied to the measurement of wind speed in the inner equipment cabin of a stationary high-speed train, the error was within ±1.1 m/s in terms of average RMSE. Thus, the proposed method provides an accurate and economic option for monitoring 2D wind in a confined space. Full article
(This article belongs to the Special Issue New Insights into Vehicle Structural Strength and Dynamics)
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