scholarly journals QUANTIFICATION OF ROAD VEHICLE PERFORMANCE PARAMETERS UNDER LABORATORY CONDITIONS

2018 ◽  
Vol 12 (3) ◽  
pp. 16-23 ◽  
Author(s):  
Branislav Šarkan ◽  
Ondrej Stopka
2008 ◽  
Vol 15 (2/3/4) ◽  
pp. 188 ◽  
Author(s):  
A.M. Sharaf ◽  
G. Mavros ◽  
H. Rahnejat ◽  
P.D. King ◽  
S.K. Mohan

2012 ◽  
Vol 512-515 ◽  
pp. 2629-2632
Author(s):  
Jun Wei Li ◽  
Jing Chen ◽  
Yu Hai Wang

Based on the vehicle dynamic model and it’s parameters, the drive train arrangement is chosen composed of power batteries, an electric motor and transmission, and the components’ performance parameters are determined according to the design requirement of performance indexes. The model of the electric vehicle is built, and the simulation and analysis of vehicle performance indexes, such as the ability to accelerate, top speed, climbing performance and the driving range, are conducted. The simulation results show that the performance index of the electric vehicle can fully meet the design requirement.


2013 ◽  
Vol 20 (4) ◽  
pp. 902-910 ◽  
Author(s):  
M. Mahmoodi-Kaleibar ◽  
I. Javanshir ◽  
K. Asadi ◽  
A. Afkar ◽  
A. Paykani

2021 ◽  
Vol 40 ◽  
pp. 01007
Author(s):  
Binsy Joseph ◽  
Deepak Vishnu Bhoir

Electric vehicle plays a significant role, in the future transportation across the world. EV has the potential to reduce air pollution and emission of Greenhouse gasses significantly compared to the existing fossil-fuel-based vehicles. Even though substantial progress can be expected in the area of embarked energy storage technologies, charging infrastructure, customer acceptance of Electric Vehicles is still limited due to the problems of Driving range anxiety and long battery charging time. We can solve most of these problems with the infrastructure development ,optimum sizing and design of the vehicle components and extensive study on vehicle dynamics under various real-time driving conditions. This research focuses on the Matlab software based co-simulation of Electric Vehicle system, including the battery pack and motor, to predict the vehicle performance parameters like driving range, efficiency, power requirement, and energy characteristics under different driving scenarios. The vehicle’s acceleration performance, energy consumption, and efficiency are determined by simulation and verified analytically. Using ADVISOR software the fuel economies and tail pipe emission for various vehicle models are determined by simulation and results are compared with Hybrid Electric vehicle models.


Author(s):  
C-W Hong

A personal computer-based simulation package has been developed to design the powertrain system of passenger cars aiming to operate at optimal performance. This package is capable of dynamic simulation of road vehicle performance under transient accelerating conditions. Two methods are included: one is the traditional transient-reconstruction method using steady-state engine performance maps; the other is a dynamic simulation technique newly developed by the author. The latter is described in this paper. It is based on cyclic analysis of the engine thermofluid-combustion phenomena with additional considerations of flow inertia, thermal inertia and mechanical inertia effects. This transient engine model plus a dynamic powertrain model and a transient road-load simulation make it possible to predict the automobile performance under road-driving conditions. Two examples of transient performance prediction, including a sudden full-throttle acceleration at a fixed gear and a changing-gear starting acceleration from standstill, are demonstrated in this paper. These examples show that the relation between the engine speed and the road speed under accelerating conditions is very different to the steady-state relationships normally assumed.


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