1. The intelligent engine start-stop trigger system based on the actual road running status
- Author
-
Xinhuan Zhang, Junqing Shi, Jinhong Wu, Chengyuan Mao, Guolian Meng, Yuran Pan, and Hongjie Liu
- Subjects
Light ,Computer science ,System testing ,Environmental pollution ,Transportation ,Control Systems ,02 engineering and technology ,Systems Science ,Automotive engineering ,Machine Learning ,0203 mechanical engineering ,Start stop ,0202 electrical engineering, electronic engineering, information engineering ,Materials ,Vehicle Emissions ,Multidisciplinary ,Applied Mathematics ,Simulation and Modeling ,Physics ,Electromagnetic Radiation ,020302 automobile design & engineering ,Transportation Infrastructure ,Artificial Light ,Physical Sciences ,Fuel efficiency ,Medicine ,Engineering and Technology ,020201 artificial intelligence & image processing ,Algorithms ,Research Article ,Computer and Information Sciences ,Traffic analysis ,Neural Networks ,Science ,Materials Science ,Fuels ,Digital Imaging ,Research and Analysis Methods ,Civil Engineering ,Machine Learning Algorithms ,Artificial Intelligence ,Assistive technology ,Industrial Engineering ,Engines ,Mechanical Engineering ,Biology and Life Sciences ,Control Engineering ,Models, Theoretical ,Roads ,Energy and Power ,Traffic congestion ,Control system ,Automobiles ,Mathematics ,Neuroscience - Abstract
With the rapid development of urbanization and the popularization of the vehicle, the frequent occurrence of traffic jams results in idling fuel waste, environmental pollution, and other issues. In order to alleviate these problems, engine start-stop technology has been widely used in different types of vehicles in recent years. However, current start-stop trigger technology has many deficiencies, such as mistaken triggering and frequent engine start-stop, which greatly reduces user driving experience, causing most of them to deactivate this system. The intelligent engine start-stop trigger (IEST) system based on the actual road running status was established by building the image recognition model and the digital traffic analysis model in order to solve this problem. A system test shows that IEST can avoid frequently engine starting and stopping. The results show that IEST could effectively improve the driving experience and reduce engine fuel consumption, and it promotes conventional engine start-stop technology.
- Published
- 2021