Mathematical modeling attributed to kinematics and dynamics of a vehicle with 4-wheels

Manuel, Calequela J. T.; Santos, Max Mauro Dias; Tusset, Ângelo Marcelo

doi:10.1140/epjs/s11734-021-00238-2

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…After considering the values in Table 3 and Table 5, respectively, the three physical output signals of the system are shown, highlighted as car speed, engine speed, and acceleration [60], according to Fig. 5.…”

Section: Resultsmentioning

confidence: 99%

Longitudinal Modeling of a Road Vehicle: 4-Wheel Traction

Manuel

Santos

Lenzi

et al. 2022

IJRCS

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This paper presents the longitudinal modeling of a 4-wheel traction vehicle represented in a block diagram using Matlab®/Simulink® software. The proposed modeling is suitable to be implemented in automatic parallel, oblique, or perpendicular parking systems considering speed cases between 5 km/h and 30 km/h. For the computational simulations, it was considered that the vehicle starts at rest and goes up a referenced or determined slope in degrees (°), with a sufficient rear reaction force to allow the vehicle to move until the engine produces sufficient torque. For the model of the tire variant, the magic formula (characterized by the sum of five vectors about an axis) was used. Three input signals were considered, slope, wind, and accelerator variation were considered in numerical simulations. The output signals are rear and normal front forces, vehicle speed, angular velocity, and engine acceleration. The longitudinal modeling proposed allows for easily reproducing the results and assigning new parameters to validate a Project, contributing positively both to the automotive industries and in innovation-based scientific research.

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Section: Resultsmentioning

confidence: 99%

Longitudinal Modeling of a Road Vehicle: 4-Wheel Traction

Manuel

Santos

Lenzi

et al. 2022

IJRCS

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“…The analysis and its modelling are carried out by creating a dynamic model of a vehicle travelling on a ramp on a horizontal road surface [21,22], simulating the forces on the vehicle during acceleration and braking on the ramp.…”

Section: Dynamic Analysis Of the Automatic Vehicle Hold Functionmentioning

confidence: 99%

Functional Model of an Automatic Vehicle Hold Based on an Electro-Hydraulic Braking System

Zhou,

Huang,

Liu

et al. 2023

WEVJ

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The algorithm function designed in this paper can make a car maintain stability during automatic vehicle hold through the model input of multi-level target fluid pressure combined with slope judgment modules of different levels after the automatic vehicle hold software works. At the same time, a complete parking function module is designed, which can monitor the whole parking process in real time. Through the design of this function, the functional diversity of the electro-hydraulic braking system can be increased. When judging that the driver intends to start, the automatic vehicle hold system will automatically release the fluid pressure according to the opening of the accelerator pedal pressed by the driver so that the vehicle does not happen to brake when the vehicle starts in the slippery slope condition. Finally, real vehicle verification proves that the function can effectively meet the parking requirements and start on the flat and on a ramp. Also, it can effectively control the vehicle according to the driver’s driving intention.

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Possibilities to evaluate the vehicle’s accelerations through MATLAB Simulink simulations

Duma,

Molea,

Cordoş

et al. 2024

IOP Conf. Ser.: Mater. Sci. Eng.

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This scientific present paper explores the methods for assessing the longitudinal and lateral accelerations of a vehicle through the combination of experimental validation and MATLAB Simulink simulations. Comprehending these accelerations is essential for a number of uses, such as stability, overall performance analysis, and vehicle safety. The first step of the study is building a detailed Simulink model of the car. With an emphasis on lateral and longitudinal accelerations, this model makes it easier to simulate a range of driving scenarios and explore how a vehicle handles and behaves under different circumstances. A key element of the study is the experimental validation of the Matlab Simulink model, which involves gathering real-world data from vehicle testing and contrasting it with simulated outcomes. Simulink model iterative refinement is made possible by the integration of simulation and experimentation, which ultimately improves the model’s predictive accuracy. The study’s conclusions demonstrate the integrated approach’s potential to advance vehicle dynamics analysis and make cars safer and more effective. Furthermore, it offers insights into the optimization of vehicle designs and the development of innovative control strategies to enhance overall road safety and vehicle performance.

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Mathematical modeling attributed to kinematics and dynamics of a vehicle with 4-wheels

Cited by 5 publications

References 14 publications

Longitudinal Modeling of a Road Vehicle: 4-Wheel Traction

Longitudinal Modeling of a Road Vehicle: 4-Wheel Traction

Functional Model of an Automatic Vehicle Hold Based on an Electro-Hydraulic Braking System

Possibilities to evaluate the vehicle’s accelerations through MATLAB Simulink simulations

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