Cited By
View all- Chrysafiadi KChrysafiadi K(2023)Fuzzy Logic-Based Software SystemsFuzzy Logic-Based Software Systems10.1007/978-3-031-44457-9_3(31-129)Online publication date: 16-Oct-2023
Research on anti-collision control of pure electric vehicles
Authors: 
Keke Ouyang, Yanliang Li, Bo YangAuthors Info & Claims
Pages 637 - 642
Abstract
With the development of the automotive industry, the active safety of automobiles has received more and more attention, which is the most promising topic in automotive technology research. The vehicle active collision avoidance system is an early warning assistance system aimed at improving driving safety, and the electric vehicle is an emerging automobile industry. At present, there are still many problems in the research on the active safety collision avoidance system of pure electric vehicles. This paper is a fuzzy control strategy control method to improve the active safety of the car, effectively prevent the occurrence of traffic accidents, and improve the stability and comfort of the vehicle during high-speed driving. Among them, the mathematical model of two-degree-of-freedom vehicle is established, the control strategy of vehicle anti-collision is studied, the Simulink model of the vehicle is constructed, and the fuzzy control is simulated and analyzed. It can be seen from the simulation results that the fuzzy control strategy used can improve the car collision.
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Index Terms
- Research on anti-collision control of pure electric vehicles
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Published In
September 2019
803 pages
ISBN:9781450372985
DOI:10.1145/3366194
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 September 2019
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- Research
- Refereed limited
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RICAI 2019
RICAI 2019: 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence
September 20 - 22, 2019
Shanghai, China
Acceptance Rates
RICAI '19 Paper Acceptance Rate 140 of 294 submissions, 48%;
Overall Acceptance Rate 140 of 294 submissions, 48%
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View all- Chrysafiadi KChrysafiadi K(2023)Fuzzy Logic-Based Software SystemsFuzzy Logic-Based Software Systems10.1007/978-3-031-44457-9_3(31-129)Online publication date: 16-Oct-2023
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