Determination of Some Vehicle Dynamic Performances Using the Dynamometric Roller Chassis

2018 ◽  
pp. 713-720
Author(s):  
Soica Adrian ◽  
Budala Adrian ◽  
Monescu Vlad
Keyword(s):  
Vehicle Dynamic ◽  
Dynamic Performances

Analysis on the Dynamic Performance of Vehicles

2021 ◽  
Vol 42 ◽  
pp. 71-78
Author(s):  
Oana Victoria Oțăt ◽  
Ilie Dumitru ◽  
Laurenţiu Racilă ◽  
Dragoș Tutunea ◽  
Lucian Matei
Keyword(s):  
Initial Data ◽  
Analytical Method ◽  
Dynamic Performance ◽  
Automotive Sector ◽  
Vehicle Dynamic ◽  
Car Model ◽  
Dynamic Performances

The current accelerated developments within the automotive sector have triggered a series of performance, comfort, safety and design-related issues. Hence, oftentimes manufacturers are challenged to combine various elements so as to achieve an attractive design, without diminishing the vehicle’s dynamic performance. In order to determine the vehicle dynamic performances we carried out an analysis by two methods. In the first part of the paper, we have used the analytical method to establish the dynamic performances of a vehicle. The second part of our study addresses another method to determine the star performances of the vehicle by means of computerized simulations. The first test aimed to determine vehicle starting performances for two vehicle models, with similar technical configuration, but with the same initial data. In the second test, we aimed at determining the start performance for the same car model, with the same initial data, but for different adhesion coefficients

Design and Simulation of Pure Electric Vehicle Power System

2012 ◽  
Vol 608-609 ◽  
pp. 1541-1544
Author(s):  
Shi Gang Song ◽  
Xiao Ping Li ◽  
Ze Chang Sun
Keyword(s):  
Power System ◽  
Electric Current ◽  
Electric Vehicle ◽  
Normal State ◽  
Dynamic Performance ◽  
Maximum Speed ◽  
Vehicle Dynamic ◽  
Vehicle Model ◽  
Dynamic Performances ◽  
Design Requirements

According to pure electric vehicle dynamic requirements and the driving conditions, took an electric vehicle as an example, analyzed principle and method of power system with voltage, electric current, capacity and connection methods. Software ADVISOR was employed to establish vehicle model, analyzed dynamic performance under drive cycle conditions. Simulation result indicate that battery pack is in normal state, dynamic performances including acceleration performance, gradient ability, maximum speed, driving mileage are satisfied to design requirements. So the rationality and validity of the power system are demonstrated.

scholarly journals APPLICATION OF VEHICLE DYNAMIC MODELING IN UAVS FOR PRECISE DETERMINATION OF EXTERIOR ORIENTATION

2016 ◽  
Vol XLI-B3 ◽  
pp. 827-831 ◽  
Author(s):  
M. Khaghani ◽  
J. Skaloud
Keyword(s):  
Navigation System ◽  
Carrier Phase ◽  
Attitude Determination ◽  
Measurement Unit ◽  
Main Process ◽  
Vehicle Dynamic ◽  
Exterior Orientation ◽  
Sensor Orientation ◽  
Imaging Results

Advances in unmanned aerial vehicles (UAV) and especially micro aerial vehicle (MAV) technology together with increasing quality and decreasing price of imaging devices have resulted in growing use of MAVs in photogrammetry. The practicality of MAV mapping is seriously enhanced with the ability to determine parameters of exterior orientation (EO) with sufficient accuracy, in both absolute and relative senses (change of attitude between successive images). While differential carrier phase GNSS satisfies cm-level positioning accuracy, precise attitude determination is essential for both direct sensor orientation (DiSO) and integrated sensor orientation (ISO) in corridor mapping or in block configuration imaging over surfaces with low texture. Limited cost, size, and weight of MAVs represent limitations on quality of onboard navigation sensors and puts emphasis on exploiting full capacity of available resources. Typically short flying times (10-30 minutes) also limit the possibility of estimating and/or correcting factors such as sensor misalignment and poor attitude initialization of inertial navigation system (INS). This research aims at increasing the accuracy of attitude determination in both absolute and relative senses with no extra sensors onboard. In comparison to classical INS/GNSS setup, novel approach is presented here to integrated state estimation, in which vehicle dynamic model (VDM) is used as the main process model. Such system benefits from available information from autopilot and physical properties of the platform in enhancing performance of determination of trajectory and parameters of exterior orientation consequently. The navigation system employs a differential carrier phase GNSS receiver and a micro electro-mechanical system (MEMS) grade inertial measurement unit (IMU), together with MAV control input from autopilot. Monte-Carlo simulation has been performed on trajectories for typical corridor mapping and block imaging. Results reveal considerable reduction in attitude errors with respect to conventional INS/GNSS system, in both absolute and relative senses. This eventually translates into higher redundancy and accuracy for photogrammetry applications.

scholarly journals Estimation of dynamic performances of the safe operation of high-speed electric train

2017 ◽  
Vol 41 (1) ◽  
pp. 7-16 ◽  
Author(s):  
Rostyslav Domin ◽  
Iurii Domin ◽  
Ganna Cherniak
Keyword(s):  
High Speed ◽  
Rolling Stock ◽  
Safe Operation ◽  
Passenger Rail ◽  
High Speed Trains ◽  
Safety Parameters ◽  
Dynamic Performances ◽  
New Generation ◽  
Electric Train

The process of implementation of new developments, in particular, new generation rolling stock holds a prominent place among the range of measures for organization of high-speed passenger rail transportation in Ukraine. The example of permission for use and the initial phase of work with interregional NRCS2 dual-mode electric trains produced by Hyundai-Rotem Corporation is the illustrative one in this context. Due to the detection of macro-cracks in bolster beams of the car body frames of these electric trains, namely in the areas of mounting of anti-yaw dampers, these trains were taken out of service until the completion of the modernization of problematic nodes. The comprehensive study on the determination of the safety parameters of electric trains was conducted to determine the causes of destruction of bolster beams. At the same time, bolster beams loading was estimated depending on the characteristics of anti-yaw dampers by means of computer simulation of the dynamics of motion of trailing and motor cars. The feasibility of selection of parameters for anti-yaw dampers mounted on electric train cars was assessed. The results of work will improve the safe operation of high-speed trains and increase the efficiency of estimates regarding the loading of bearing structures of underframes of the of rolling stock.

scholarly journals Optimal Design of the IRSBot-2 Based on an Optimized Test Trajectory

2013 ◽  
Author(s):  
Coralie Germain ◽  
Stéphane Caro ◽  
Sébastien Briot ◽  
Philippe Wenger
Keyword(s):  
Optimal Design ◽  
Design Optimization ◽  
Optimization Problems ◽  
Design Parameters ◽  
Optimal Test ◽  
Maximum Acceleration ◽  
Pick And Place ◽  
Dynamic Performances ◽  
Two Degree Of Freedom

This paper deals with the design optimization of the IRSBot-2 based on an optimized test trajectory for fast pick and place operations. The IRSBot-2 is a two degree-of-freedom translational parallel manipulator dedicated to fast and accurate pick-and-place operations. First, an optimization problem is formulated to determine the optimal test trajectory. This problem aims at finding the path defined with s-curves and the time trajectory that minimize the cycle time while the maximum acceleration of the moving platform remains lower than 20 G and the time trajectory functions are C2 continuous. Then, two design optimization problems are formulated to find the optimal design parameters of the IRSBot-2 based on the previous optimal test trajectory. These two problems are formulated so that they can be solved in cascade. The first problem aims to define the design parameters that affect the geometric and kinematic performances of the manipulator. The second problem is about the determination of the remaining parameters by considering elastostatic and dynamic performances. Finally, the optimal design parameters are given and will be used for the realization of an industrial prototype of the IRSBot-2.

Experimental Study on the Influence of Certain Parameters over Vehicle’s Dynamic Behavior

2014 ◽  
Vol 659 ◽  
pp. 145-150
Author(s):  
George Bivol ◽  
George Ene ◽  
Marian Eduard Radulescu ◽  
Mihai Iacob ◽  
Ion Copae
Keyword(s):  
Experimental Study ◽  
Dynamic Behavior ◽  
Fuel Efficiency ◽  
The Other ◽  
Vehicle Dynamic ◽  
Functional Parameters ◽  
Dynamic Performances

Tougher request that are being formulated again and again regarding a vehicle’s dynamic performances and its fuel efficiency require a deeper study over the influence of various parameters over to the vehicle dynamic behavior. In the specialty literature we find appreciations both quantitative and qualitative regarding the influence of certain functional parameters, and how their adjustments have an impact on to the vehicle’s performances. We have to mention that the literature guides its self when analyzing the influence of certain parameters after a very restrictive methodology: when studying how a parameter influences a certain behavior all the other parameters are considered to be constant, which obviously does not happen in reality.

scholarly journals Modeling and Simulation of Energy-Regenerative Active Suspension Based on BP Neural Network PID Control

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Jiang Liu ◽  
Xinjun Li ◽  
Xilong Zhang ◽  
Xiufeng Chen
Keyword(s):  
Neural Network ◽  
Energy Efficiency ◽  
Bp Neural Network ◽  
Vibration Energy ◽  
Vehicle Dynamic ◽  
Vibration Energy Harvesting ◽  
Pid Algorithm ◽  
Dual Functional ◽  
Dynamic Performances ◽  
Neural Network Algorithm

In this paper, an electromagnetic energy-regenerative suspension system is proposed to achieve active control and vibration energy harvesting. For this system, a PID controller based on BP neural network algorithm is designed and vehicle dynamic performances are studied. Based on the traditional energy-regenerative efficiency calculation, a novel self-supply energy efficiency concept is proposed to evaluate the utilization effect of the recycled energy for this dual-functional suspension. Simulations are carried out, and the results show that the vehicle dynamic performances are effectively improved under different input conditions, including road surfaces and vehicle speeds. Furthermore, the energy-regenerative suspension can recover part of vibration energy, where the self-supply energy efficiency is about 55% and the energy-regenerative efficiency is about 16%. Meanwhile, the BP-PID algorithm also enables the suspension system’s self-adaptability and stability characteristics on its energy recovery capability.

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