Study on Vehicle Modeling and Steering Performance

Author(s):  
Minglun Cao ◽  
Cai Yang
Keyword(s):  
2017 ◽  
Author(s):  
Bo Zhang ◽  
Qingzhu Cai ◽  
Yong Lu ◽  
Jianfeng Wang ◽  
Lei Wang ◽  
...  

2007 ◽  
Vol 1 (1) ◽  
pp. 236-243 ◽  
Author(s):  
Aiman Nouh ◽  
Mouhcine Chami ◽  
Abdesslem Djerdir ◽  
Mohammed El Bagdouri

Author(s):  
Rashid A. Waraich ◽  
Gil Georges ◽  
Matthias D. Galus ◽  
Kay W. Axhausen

Battery-electric and plug-in hybrid-electric vehicles are envisioned by many as a way to reduce CO2 traffic emissions, support the integration of renewable electricity generation, and increase energy security. Electric vehicle modeling is an active field of research, especially with regards to assessing the impact of electric vehicles on the electricity network. However, as highlighted in this chapter, there is a lack of capability for detailed electricity demand and supply modeling. One reason for this, as pointed out in this chapter, is that such modeling requires an interdisciplinary approach and a possibility to reuse and integrate existing models. In order to solve this problem, a framework for electric vehicle modeling is presented, which provides strong capabilities for detailed electricity demand modeling. It is built on an agent-based travel demand and traffic simulation. A case study for the city of Zurich is presented, which highlights the capabilities of the framework to uncover possible bottlenecks in the electricity network and detailed fleet simulation for CO2 emission calculations, and thus its power to support policy makers in taking decisions.


Author(s):  
Rashid A. Waraich ◽  
Gil Georges ◽  
Matthias D. Galus ◽  
Kay W. Axhausen

Battery-electric and plug-in hybrid-electric vehicles are envisioned by many as a way to reduce CO2 traffic emissions, support the integration of renewable electricity generation, and increase energy security. Electric vehicle modeling is an active field of research, especially with regards to assessing the impact of electric vehicles on the electricity network. However, as highlighted in this chapter, there is a lack of capability for detailed electricity demand and supply modeling. One reason for this, as pointed out in this chapter, is that such modeling requires an interdisciplinary approach and a possibility to reuse and integrate existing models. In order to solve this problem, a framework for electric vehicle modeling is presented, which provides strong capabilities for detailed electricity demand modeling. It is built on an agent-based travel demand and traffic simulation. A case study for the city of Zurich is presented, which highlights the capabilities of the framework to uncover possible bottlenecks in the electricity network and detailed fleet simulation for CO2 emission calculations, and thus its power to support policy makers in taking decisions.


2014 ◽  
Vol 494-495 ◽  
pp. 3-7
Author(s):  
Jie Jin ◽  
Fu Ming Qin ◽  
Wei Zhou ◽  
Wen Liang Li

When a larger bus steering in the corners, it easily affected by the lateral acceleration so that the vehicle sideslips or rolls over, using the research methods of combining with real vehicle modeling and simulation to ensure the safety and comfort of the passengers. Analyzed and researched systems that affecting vehicles stability performance, including power train, steering system, brake system and the vehicles road model of the system curve .On this basis, compared to the acceleration values which the motorbus body can withstand in different states, proposing the acceleration values when human feel comfortable, uncomfortable and terrible, then conducted simulation tests under different turning radius and speeds. The results showed that: on the premise of ensuring the safety and comfort of vehicle passengers, the allowable speed limit with different bend radius is not the same; then it drew series of limit speeds allowed by series of bend radius, providing a reference and basis for future road construction and motorbus technical improvement.


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