Vehicle dynamics using multi-bond graphs: Four wheel electric vehicle modeling

Author(s):  
L.I. Silva ◽  
G.A. Magallan ◽  
C.H. De Angelo ◽  
G.O. Garcia
2013 ◽  
Vol 21 (4) ◽  
pp. 8-15
Author(s):  
Jongryeol Jeong ◽  
Changwoo Shin ◽  
Wonsik Lim ◽  
Suk Won Cha ◽  
Myeong Eon Jang

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.


Author(s):  
Sung-Soo Kim ◽  
Kyoungnam Ha ◽  
Dohyun Kim ◽  
Taeoh Tak ◽  
Seung-Eon Shin

Real-time multibody vehicle dynamics software has been developed for virtual handling tests. The software can be utilized for hardware in the loop simulations and consists of three modules such as a graphical vehicle modeling preprocessor, real time dynamics solver, and virtual reality graphic postprocessor for virtual handling tests. In the graphical vehicle modeling preprocessor, vehicle hard point data for a suspension model are automatically converted into multibody vehicle model. In the real time dynamics solver, efficient subsystem synthesis method is used to create multibody equations of motion a subsystem by a subsystem. In the virtual reality graphic postprocessor, virtual proving ground environment has been also developed by using OpenGL for virtual handling tests. This software is written C and can be converted to the S-function as a plant model in the RT-LAB real time environment for HILS application.


2014 ◽  
Vol 214 ◽  
pp. 94-105
Author(s):  
Robert Buchta ◽  
Xiao Bo Liu-Henke

Focus of this contribution is the constructive and functional design of an entire energetic optimized battery electric vehicle. This vehicle called M(echatronic)-Mobile was designed at the university Ostfalia using a holistic model based design approach in a continuous verification-orientated process from Model-in-the-Loop (MiL) over Software-in-the-Loop (SiL) to Hardware-in-the-Loop (HiL).


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