Dynamic Modeling, Theory and Application Using Bond Graph

Author(s):  
Bharat Raj Singh ◽  
Manoj Kumar Singh

The paper describes the technique for presenting quantitative and systematic modeling and simulation using Bond Graph for the vehicle dynamic system. It is based on the relative contribution of the new generation of a system equation, expression, result analysis and simulation through graphical display. The portioning algorithm can be employed to the existing automated modeling techniques for efficient, accurate simulation towards the design of the vehicle dynamic system. The design of control oriented four wheeled vehicle is widely recognized to be a very challenging task. This allows accounting for the driver turn angle which necessitates about visualizing the real driving behavior and its effects on the overall vehicle dynamic system. The study also illustrates an introduction to vehicle dynamics with emphasis towards the influence of its various properties. It also discusses the steady–state behavior of simple automobile models and transient motion when small and large steering inputs and other disturbances are employed. The effect of various shape factors and type of characteristics on vehicle handling properties is analysed. In order to design a controller, a good model representing the dynamic system is needed. From the input parameters considered, the results of the modeling and simulation of vehicle dynamics through the Bond Graph are found efficient and more accurate.

Author(s):  
Manoj Kumar Singh ◽  
Bharat Raj Singh

This paper describes a method for approaching an arbitrary parameter with initial outline, slider and simulation model, systematical and quantitative bond graph model of vehicle dynamic system. It illustrates a typical bond graph and object models using the three basic modules of the software. For brevity, only small problems are considered for simulation of vehicle dynamic system model. Bond graph techniques reveal its strength and beauty in developing a clear and simplified model for vehicle dynamic system. Fast Fourier Transform (FFT) generates discrete Fourier transform of a time-varying signal and stores it into a disk file containing discredited numerical values for all the system states, ranging over the entire simulation interval. In this paper, a vehicle dynamic Modeling and Simulation involving three partners viz., Vehicle model, Vehicle parameter and Vehicle simulator, are taken into consideration. This process consists of both modeling and simulating closely associated with each other. Vehicle dynamics is the science that studies the kinematics of wheeled land vehicles with its dimensions and benefits to mechanisms, suspensions and steering mechanisms. The dynamics of computer models of vehicles using Bond graph technique originated by H. M. Paynter, presents a tool for continuous system modeling in a graphical sense, by generalizing the physical phenomenon such as: Mechanical Dynamic System. The role of computerized modeling and simulation in engineering design continues to increase as companies are striving to gain competitive advantages by reducing the time required to move from concept to final product.


2015 ◽  
Vol 812 ◽  
pp. 118-123
Author(s):  
S. Arulanantha Samy ◽  
T. Shanmuganathan ◽  
J. Godwin John

The recent vehicle management systems have been developing to improve the quality of the combustion process and transmission systems. In thermodynamic approach, the water molecule can exists in different phases like ice, water, wet steam, dry steam, and superheated steam. The phase change occurs in the steam formation process can be compared to the various stages of any vehicle dynamic system such starting, idling, normal speed, high speed and very high speed. There may be an identical value in the increment of energy level in both steam formation process and any vehicle dynamic system. Thermodynamic approach always deals with system, surroundings, boundary and energy transformation across boundaries. Entropy is a very good property which is used to find the energy degradation in a particular system, and this property existence in the vehicle dynamics of automobiles will be used to improve the efficiency of the control module of a vehicle management system. This paper initiates a new angle research in the field of vehicle dynamics to study and investigate the kinetic energy transformation and distance moved by the vehicle thermodynamically. From this paper, Entropy is found as a very good property for increasing the mileage of the vehicle. In the vehicle health monitoring, there should be an entropy measurement to reduce the unavailability of energy as it is the measure of the distance travelled by the vehicle per unit energy supplied to the same vehicle at various operating speeds. In manual transmission method, it has been found that driver is not able to press the accelerator pedal continuously due to body strain. Driver has to run the vehicle at constant speed by pressing the accelerator pedal continuously. In automatic transmission, the data required for the ECU module is given by the thermodynamic relations such as enthalpy, entropy and internal energy. This paper aims thermodynamically to describe the speed, acceleration, fuel consumption, kinetic energy and various resistances offered to the vehicles. Generally, Thermodynamic system deals with heat and mass transfer, likewise vehicle dynamics deals with work and vehicle’s motion.


2020 ◽  
pp. 107754632093983
Author(s):  
Dan Williams ◽  
Don Margolis

The term “slip angle” has been inconsistently applied in the vehicle dynamics field for some time, even in the presence of a clear definition in the SAE J670 standard defining vehicle dynamic terms. This work proposes the opposite of the Society of Automotive Engineers slip angle convention, not a completely unknown concept in the literature. This proposed slip angle convention is combined with a simple yet novel convention change for axle location. Differences between the conventional model and the new conventions are discussed, and the differences between the proposed convention and SAE J670 are clearly delineated. This work is intended as a reference to be used in the vehicle dynamics community by any researcher wishing to work with a model more intuitively pleasing and widely applicable than the accepted standard. This work does not present a particular new research result. Rather, it provides context on the often confusing choice of vehicle dynamic conventions and suggests a preferable selection.


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