Search for Topics:
Title/Keyword
Journal
Submission Status
Category
 
 
Topics
Vehicle Dynamics and Control, 2nd Edition
Submit your Manuscript Submit your Abstract Propose a Topic

Topic Menu

► Topic Menu

Topic Editors

Department of Mechanical and Aerospace Engineering, University of California Davis, Davis, CA 95616, USA
College of Automotive Engineering, Jilin University, Changchun 130015, China
share announcement

Vehicle Dynamics and Control, 2nd Edition

Abstract submission deadline
31 August 2026
Manuscript submission deadline
30 November 2026
Viewed by
356

Topic Information

Dear Colleagues,

This Topic is a continuation of the previous successful Topic “Vehicle Dynamics and Control (https://www.mdpi.com/topics/J12MF37TK9)”. A vehicle is a typical multi-system-coupled, complex nonlinear dynamic system that exhibits different dynamic characteristics in the lateral, longitudinal, and vertical directions; thus, the research and control objectives in different directions are diverse. Vehicle dynamics and control are based on the dynamic equations of the entire vehicle and each subsystem. The key to obtaining good dynamic performance, stability, smoothness, and safety of vehicles is to control the vehicle’s speed, yaw rate, tire slip ratio, body roll angle, and vibration acceleration by adopting appropriate control algorithms. In recent years, with the rapid development of microelectronics, sensing, and automation technologies, people’s requirements for vehicle efficiency, energy saving, and intelligence are increasing. The industry has ushered in the technological changes of electrification, intelligence, and networking, which have also brought new challenges to research on vehicle dynamics and control. To further improve the power, stability, ride comfort, and safety of vehicles, dynamics and control have become the focus of relevant research by scholars in recent years. We therefore invite papers on innovative technical developments in addition to reviews, case studies, and analytical and assessment papers from different disciplines that are relevant to the topic of vehicle dynamics and control. The main topics of the section include, but are not limited to, the following:

  • Vehicle drive system and braking system control;
  • Optimal design and control of vehicle suspension systems;
  • Lateral and longitudinal vehicle dynamics;
  • Dynamics modeling, simulation analysis, and control system design;
  • Chassis active control of intelligent electric vehicles;
  • Lateral control of autonomous vehicles.

Prof. Dr. Francis F. Assadian
Prof. Dr. Junnian Wang
Topic Editors

Keywords

  • vehicle dynamics and control
  • longitudinal dynamics
  • lateral dynamics
  • vertical dynamics
  • lateral control 

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci 		2.5 5.3 2011 17.8 Days CHF 2400 Submit
Machines
machines 		2.1 3.0 2013 15.6 Days CHF 2400 Submit
Sensors
sensors 		3.4 7.3 2001 16.8 Days CHF 2600 Submit
Vehicles
vehicles 		2.4 4.1 2019 24.7 Days CHF 1600 Submit
World Electric Vehicle Journal
wevj 		2.6 4.5 2007 15.7 Days CHF 1400 Submit
Designs
designs 		- 3.9 2017 15.2 Days CHF 1600 Submit

Preprints.org is a multidiscipline platform providing preprint service that is dedicated to sharing your research from the start and empowering your research journey.

MDPI Topics is cooperating with Preprints.org and has built a direct connection between MDPI journals and Preprints.org. Authors are encouraged to enjoy the benefits by posting a preprint at Preprints.org prior to publication:

  1. Immediately share your ideas ahead of publication and establish your research priority;
  2. Protect your idea from being stolen with this time-stamped preprint article;
  3. Enhance the exposure and impact of your research;
  4. Receive feedback from your peers in advance;
  5. Have it indexed in Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (1 paper)

Order results
Result details
Journals
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
19 pages, 4217 KiB  
Article
Adaptive Energy Management Strategy for Hybrid Electric Vehicles in Dynamic Environments Based on Reinforcement Learning
by Shixin Song, Cewei Zhang, Chunyang Qi, Chuanxue Song, Feng Xiao, Liqiang Jin and Fei Teng
Designs 2024, 8(5), 102; https://doi.org/10.3390/designs8050102 (registering DOI) - 12 Oct 2024
Abstract
Energy management strategies typically employ reinforcement learning algorithms in a static state. However, during vehicle operation, the environment is dynamic and laden with uncertainties and unforeseen disruptions. This study proposes an adaptive learning strategy in dynamic environments that adapts actions to changing circumstances, [...] Read more.
Energy management strategies typically employ reinforcement learning algorithms in a static state. However, during vehicle operation, the environment is dynamic and laden with uncertainties and unforeseen disruptions. This study proposes an adaptive learning strategy in dynamic environments that adapts actions to changing circumstances, drawing on past experience to enhance future real-world learning. We developed a memory library for dynamic environments, employed Dirichlet clustering for driving conditions, and incorporated the expectation maximization algorithm for timely model updating to fully absorb prior knowledge. The agent swiftly adapts to the dynamic environment and converges quickly, improving hybrid electric vehicle fuel economy by 5%–10% while maintaining the final state of charge (SOC). Our algorithm’s engine operating point fluctuates less, and the working state is compact compared with Deep Q-Network (DQN) and Deterministic Policy Gradient (DDPG) algorithms. This study provides a solution for vehicle agents in dynamic environmental conditions, enabling them to logically evaluate past experiences and carry out situationally appropriate actions. Full article
(This article belongs to the Topic Vehicle Dynamics and Control, 2nd Edition)
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop