Dynamic vehicle model for handling performance using experimental data

Na, Sang-Do; Jang, Jin-Seok; Kim, Kwang-Suk; Yoo, Wan-Suk

doi:10.1177/1687814015618126

Cited by 9 publications

(7 citation statements)

References 9 publications

(8 reference statements)

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“…As an element base for the implementation of the obtained mathematical expressions, digital integrated circuits are used. Figure 4 shows a block diagram for determining the slip angles of the axes ߜ ଵ and ߜ ଶ , compiled according to equations ( 13), ( 14), (11) and (12). This scheme allows one to determine the slip angles of the axles in any modes of motion of the vehicle, including transient modes.…”

Section: Resultsmentioning

confidence: 99%

“…One of the advantages is that it can be used to determine whether a trajectory is feasible or not. Another advantage is the ability to include a dynamic model in the simulation environment to test how the vehicle will behave under a variety of conditions [8][9][10][11]. Modeling requires qualified specialists, but it is less expensive and much safer than testing a car on real road conditions.…”

Section: Introductionmentioning

confidence: 99%

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Determination of the parameters of the curvilinear movement of vehicles

Petrov

Абрамов

2023

E3S Web of Conf.

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Today, the creation of new vehicles is impossible without computer modeling. Modern vehicles have numerous electronic systems that increase its traffic safety, comfort, and route planning management. Reliable operation of all systems is achieved by using an accurate dynamic model of the vehicle to assess safety and the possibility of movement along specified trajectories. Creating an accurate dynamic vehicle model requires correct initial parameters. When modeling the curvilinear movement of motor vehicles, such parameters as the coefficients of resistance to lateral sliding of tires and the angles of sliding of axles, which are mainly determined on test benches in laboratory conditions, are important to obtain the adequacy of the object under study. However, quite often it is impossible to obtain reliable information from tire manufacturers or testing laboratories, which ultimately affects the adequacy of modeling the parameters of vehicle movement. A method is proposed for determining the design parameters of tires using primary information sensors, which are sensors of angular and linear velocities, linear accelerations, rotation angles of controlled wheels and an on-board information processing device. The advantages of this method are that it allows real-time measurement of the angles of the axles and the coefficients of resistance to the lateral withdrawal of the axles when the vehicle is moving at an arbitrary speed along a trajectory of variable curvature. This method can be used to create an accurate dynamic model in the study of the controllability and stability of the vehicle, as well as an integral part of the vehicle dynamics control system.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determination of the parameters of the curvilinear movement of vehicles

Petrov

Абрамов

2023

E3S Web of Conf.

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“…For this case, a simple modeling method is needed for vehicle analysis. 18 ODMSMWs of three-dimensional model have been built based on the precision requirement, and this study simplified the mechanical structure, omitted the parts which had nothing to do with sport. As this article considers mainly the kinematics of mecanum system during the ODMSMWs kinematics' simulation, I regard the platform body as a whole part and omit the suspended structure.…”

Section: The Friction Between Wheels and The Surface Is Bigmentioning

confidence: 99%

Research on a new omnidirectional mobile platform with heavy loading and flexible motion

Tian

Zhang

Liu

et al. 2017

Advances in Mechanical Engineering

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This article presents an omnidirectional mobile platform with six mecanum wheels, which provide better carrying capacity than traditional four-wheel platform. Omnidirectional mobile platform with six mecanum wheels can withstand heavier load than the omnidirectional mobile platform with four mecanum wheels, which was used to transport large equipments used in marine and aerospace. Due to the small size, omnidirectional mobile platform with six mecanum wheels move more flexibly and reach desired position and pose easier in narrow workspace, compared with omnidirectional mobile platform with eight mecanum wheels whose disadvantage of large size offsets the advantage of zero turning radius. The kinematic model of the omnidirectional mobile platform with six mecanum wheel is established and verified through four kinds of motion state by the simulation (the omnidirectional mobile platform with six mecanum wheels moving along the Z axis, the X axis, the direction of which angle between positive X is 45°, and the omnidirectional mobile platform with six mecanum wheels rotating around the geometric center). The states of one wheel in failure have been analyzed in this article, taking into account the research levels of omnidirectional mobile platform with six mecanum wheels in the presence. The motion features of the platform with six mecanum wheels and four mecanum wheels are analyzed when certain wheels are locked-up or followed-up based on the force analysis of the wheels, and it proves that the platform with six mecanum wheels moves more stable than the platform with four mecanum wheels. In the presence of wheel failure, the platform still can move to the target location with gesture, due to its redundancy. This study contributes to the research of omnidirectional mobile platform with normal or failure mecanum wheels.

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“…To date, theoretical research on vehicle handling and stability is primarily through the establishment of mathematical models. Highprecision dynamics models for vehicle handling and stability are of great importance for system performance analyses and the development of stability controllers [4,5].…”

Section: Introductionmentioning

confidence: 99%

Steady-State Steering Characteristics of Mathematical Model for Semitrailer Based on Variations in Camber Parameters

Wei

Zhang

et al. 2020

Shock and Vibration

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To master the basic characteristics of steady-state cornering for a semitrailer, this paper summarises the current modelling methods for handling and stability and discusses their limitations. The classical linear mathematical model for a two-degree-of-freedom (DOF) handling and stability system is used to develop a new model. Analysis methods are proposed to introduce the influence of the camber angle and body roll into the model parameters. Thus, a mathematical model for the lateral stability of semitrailer with five DOFs is established. At the same time, a modified formula to calculate the stability factor of the semitrailer is developed with a MATLAB model to solve the dynamic state equation. The mathematical model, which considers the body roll and the changes in the camber angle caused by roll, compares the turning radius ratio and yaw rate as the evaluation index with the classical linear mathematical model of a two-DOF system. The vehicle parameters for three different types of semi-tractor trailers are used to calculate and compare two mathematical models for handling and stability using real vehicle test data. The results show that the new modelling and analysis method proposed in this paper has a high calculation accuracy and fast calculation speed, is clear and concise, and is consistent with the real vehicle test data. In addition, the accuracy of the new mathematical model for handling and stability and the improved stability factor are verified.

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Dynamic vehicle model for handling performance using experimental data

Cited by 9 publications

References 9 publications

Determination of the parameters of the curvilinear movement of vehicles

Determination of the parameters of the curvilinear movement of vehicles

Research on a new omnidirectional mobile platform with heavy loading and flexible motion

Steady-State Steering Characteristics of Mathematical Model for Semitrailer Based on Variations in Camber Parameters

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