Design Theory, Method and Control of Intelligent and Safe Vehicles
A special issue of World Electric Vehicle Journal (ISSN 2032-6653).
Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 9491
Special Issue Editors
Interests: non-pneumatic tyre; intelligent vehicle
Interests: personalized motion control; human-machine shared control
Special Issue Information
Dear Colleagues,
Electrification, intelligence, and networking have become the main development directions of modern automotive technology. Intelligent networked electric vehicles can effectively improve the traffic efficiency, economy, and safety of the transportation system through collaborative control between the vehicle and the vehicle road. In the near future, intelligent driving electric vehicles will occupy a leading position in the automotive field. While looking forward to the bright future, we should also understand that the intelligent driving system remains incomplete. Under complex traffic conditions, the system does not have the ability of human drivers to flexibly handle unknown situations, and the vehicle may lose stability. Therefore, improving the stability and safety of intelligent electric vehicles in different working conditions has become the core issue to be solved. One of the objectives of smart and safe electric vehicles is to achieve “zero casualties”. Based on advanced material structure and artificial intelligence technology, intelligent and safe electric vehicles have active and passive safety protection capabilities, intelligent decision-making capabilities and driving data connectivity capabilities that traditional vehicles do not have, which are the ultimate solutions to traffic accidents.
Dr. Yaoji Deng
Dr. Xinglong Zhang
Dr. Fen Lin
Guest Editors
Manuscript Submission Information
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Keywords
- active and passive safety intelligent control and execution
- intelligent decision and planning
- driving behavior and man–machine co-driving
- state estimation and recognition
- fault diagnosis and control
- vibration and noise
- intelligent driving safety
- assisted driving
- environment perception
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