Готові списки джерел за темами / Vehicle Longitudinal Dynamics

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Добірка наукової літератури з теми "Vehicle Longitudinal Dynamics"

Автор: Grafiati

Опубліковано: 11 березня 2023

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Статті в журналах з теми "Vehicle Longitudinal Dynamics"

Noei, Shirin, Mohammadreza Parvizimosaed, and Mohammadreza Noei. "Longitudinal Control for Connected and Automated Vehicles in Contested Environments." Electronics 10, no. 16 (August 18, 2021): 1994. http://dx.doi.org/10.3390/electronics10161994.

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Анотація:

The Society of Automotive Engineers (SAE) defines six levels of driving automation, ranging from Level 0 to Level 5. Automated driving systems perform entire dynamic driving tasks for Levels 3–5 automated vehicles. Delegating dynamic driving tasks from driver to automated driving systems can eliminate crashes attributed to driver errors. Sharing status, sharing intent, seeking agreement, or sharing prescriptive information between road users and vehicles dedicated to automated driving systems can further enhance dynamic driving task performance, safety, and traffic operations. Extensive simulation is required to reduce operating costs and achieve an acceptable risk level before testing cooperative automated driving systems in laboratory environments, test tracks, or public roads. Cooperative automated driving systems can be simulated using a vehicle dynamics simulation tool (e.g., CarMaker and CarSim) or a traffic microsimulation tool (e.g., Vissim and Aimsun). Vehicle dynamics simulation tools are mainly used for verification and validation purposes on a small scale, while traffic microsimulation tools are mainly used for verification purposes on a large scale. Vehicle dynamics simulation tools can simulate longitudinal, lateral, and vertical dynamics for only a few vehicles in each scenario (e.g., up to ten vehicles in CarMaker and up to twenty vehicles in CarSim). Conventional traffic microsimulation tools can simulate vehicle-following, lane-changing, and gap-acceptance behaviors for many vehicles in each scenario without simulating vehicle powertrain. Vehicle dynamics simulation tools are more compute-intensive but more accurate than traffic microsimulation tools. Due to software architecture or computing power limitations, simplifying assumptions underlying convectional traffic microsimulation tools may have been a necessary compromise long ago. There is, therefore, a need for a simulation tool to optimize computational complexity and accuracy to simulate many vehicles in each scenario with reasonable accuracy. This research proposes a traffic microsimulation tool that employs a simplified vehicle powertrain model and a model-based fault detection method to simulate many vehicles with reasonable accuracy at each simulation time step under noise and unknown inputs. Our traffic microsimulation tool considers driver characteristics, vehicle model, grade, pavement conditions, operating mode, vehicle-to-vehicle communication vulnerabilities, and traffic conditions to estimate longitudinal control variables with reasonable accuracy at each simulation time step for many conventional vehicles, vehicles dedicated to automated driving systems, and vehicles equipped with cooperative automated driving systems. Proposed vehicle-following model and longitudinal control functions are verified for fourteen vehicle models, operating in manual, automated, and cooperative automated modes over two driving schedules under three malicious fault magnitudes on transmitted accelerations.

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CORNELIU, LAZAR, and TIGANASU ALEXANDRU. "Control-Oriented Models for vehicle longitudinal motion." Journal of Engineering Sciences and Innovation 3, no. 3 (September 16, 2018): 251–64. http://dx.doi.org/10.56958/jesi.2018.3.3.251.

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Анотація:

The use of mathematical models is widespread both in simulating the dynamic behavior of vehicle longitudinal motion and in designing related controllers. This paper focuses on control-oriented models for longitudinal motion which better captured the plant dynamics for vehicles with internal combustion engines. Firstly, a review of some simplified models is presented and secondly, two more complex control-oriented models which take into account the powertrain dynamics are proposed.

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Dai, Wei, Yongjun Pan, Chuan Min, Sheng-Peng Zhang, and Jian Zhao. "Real-Time Modeling of Vehicle’s Longitudinal-Vertical Dynamics in ADAS Applications." Actuators 11, no. 12 (December 16, 2022): 378. http://dx.doi.org/10.3390/act11120378.

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Анотація:

The selection of an appropriate method for modeling vehicle dynamics heavily depends on the application. Due to the absence of human intervention, the demand for an accurate and real-time model of vehicle dynamics for intelligent control increases for autonomous vehicles. This paper develops a multibody vehicle model for longitudinal-vertical dynamics applicable to advanced driver assistance (ADAS) applications. The dynamic properties of the chassis, suspension, and tires are considered and modeled, which results in accurate vehicle dynamics and states. Unlike the vehicle dynamics models built into commercial software packages, such as ADAMS and CarSim, the proposed nonlinear dynamics model poses the equations of motion using a subset of relative coordinates. Therefore, the real-time simulation is conducted to improve riding performance and transportation safety. First, a vehicle system is modeled using a semi-recursive multibody dynamics formulation, and the vehicle kinematics and dynamics are accurately calculated using the system tree-topology. Second, a fork-arm removal technique based on the rod-removal technique is proposed to reduce the number of bodies, relative coordinates, and equations constrained by loop-closure. This increase the computational efficiency even further. Third, the dynamic simulations of the vehicle are performed on bumpy and sloping roads. The accuracy and efficiency of the numerical results are compared to the reference data. The comparative results demonstrate that the proposed vehicle model is effective. This efficient model can be utilized for the intelligent control of vehicle ADAS applications, such as forward collision avoidance, adaptive cruise control, and platooning.

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Hamersma, Herman A., and P. Schalk Els. "Longitudinal vehicle dynamics control for improved vehicle safety." Journal of Terramechanics 54 (August 2014): 19–36. http://dx.doi.org/10.1016/j.jterra.2014.04.002.

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Li, Wenfei, Huiyun Li, Kun Xu, Zhejun Huang, Ke Li, and Haiping Du. "Estimation of Vehicle Dynamic Parameters Based on the Two-Stage Estimation Method." Sensors 21, no. 11 (May 26, 2021): 3711. http://dx.doi.org/10.3390/s21113711.

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Анотація:

Vehicle dynamic parameters are of vital importance to establish feasible vehicle models which are used to provide active controls and automated driving control. However, most vehicle dynamics parameters are difficult to obtain directly. In this paper, a new method, which requires only conventional sensors, is proposed to estimate vehicle dynamic parameters. The influence of vehicle dynamic parameters on vehicle dynamics often involves coupling. To solve the problem of coupling, a two-stage estimation method, consisting of multiple-models and the Unscented Kalman Filter, is proposed in this paper. During the first stage, the longitudinal vehicle dynamics model is used. Through vehicle acceleration/deceleration, this model can be used to estimate the distance between the vehicle centroid and vehicle front, the height of vehicle centroid and tire longitudinal stiffness. The estimated parameter can be used in the second stage. During the second stage, a single-track with roll dynamics vehicle model is adopted. By making vehicle continuous steering, this vehicle model can be used to estimate tire cornering stiffness, the vehicle moment of inertia around the yaw axis and the moment of inertia around the longitudinal axis. The simulation results show that the proposed method is effective and vehicle dynamic parameters can be well estimated.

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Nie, Xiaobo, Chuan Min, Yongjun Pan, Ke Li, and Zhixiong Li. "Deep-Neural-Network-Based Modelling of Longitudinal-Lateral Dynamics to Predict the Vehicle States for Autonomous Driving." Sensors 22, no. 5 (March 4, 2022): 2013. http://dx.doi.org/10.3390/s22052013.

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Анотація:

Multibody models built in commercial software packages, e.g., ADAMS, can be used for accurate vehicle dynamics, but computational efficiency and numerical stability are very challenging in complex driving environments. These issues can be addressed by using data-driven models, owing to their robust generalization and computational speed. In this study, we develop a deep neural network (DNN) based model to predict longitudinal-lateral dynamics of an autonomous vehicle. Dynamic simulations of the autonomous vehicle are performed based on a semirecursive multibody method for data acquisition. The data are used to train and test the DNN model. The DNN inputs include the torque applied on wheels and the vehicle’s initial speed that imitates a double lane change maneuver. The DNN outputs include the longitudinal driving distance, the lateral driving distance, the final longitudinal velocities, the final lateral velocities, and the yaw angle. The predicted vehicle states based on the DNN model are compared with the multibody model results. The accuracy of the DNN model is investigated in detail in terms of error functions. The DNN model is verified within the framework of a commercial software package CarSim. The results demonstrate that the DNN model predicts accurate vehicle states in real time. It can be used for real-time simulation and preview control in autonomous vehicles for enhanced transportation safety.

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Yan, Yan, Xu Chen, Wenzhe Wang, Peng Hang, Haishan Chen, and Jinbo Liu. "Research on braking dynamics of multi-axle vehicle." Journal of Physics: Conference Series 2246, no. 1 (April 1, 2022): 012019. http://dx.doi.org/10.1088/1742-6596/2246/1/012019.

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Abstract Braking dynamics is an important part of longitudinal dynamics. Through the analysis of braking performance of multi-axle vehicles, we can deepen our understanding of longitudinal dynamics. Starting from the braking dynamics analysis of the whole vehicle, this paper proposes to establish the braking dynamics model of multi-axle vehicle by using the suspension deformation coordination equation, so as to calculate the general calculation formula of ground reaction force of multi-axle vehicle when braking. The brake force distribution of 4-axle brake is analyzed to verify its rationality and provide basis for multi-axle brake design.

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Lu, Yongjie, Tongtong Wang, and Hangxing Zhang. "Multiobjective Synchronous Control of Heavy-Duty Vehicles Based on Longitudinal and Lateral Coupling Dynamics." Shock and Vibration 2022 (July 21, 2022): 1–19. http://dx.doi.org/10.1155/2022/6987474.

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Анотація:

The steering system, suspension system, and braking system of the vehicle are interrelated, so the ride comfort and handling stability of the vehicle are also closely related. But the vertical and lateral dynamics equations and controls system of the vehicle are always independent of each other, and the multiobjective control is generally achieved through the coordination of control algorithms. In this paper, taking the dynamic load of the tire as a link, the vertical dynamic model and the lateral dynamic model of heavy-duty vehicle are coupled. When the heavy-duty vehicle is turning, the proposed coupling model not only reflects the influence of the front wheel angle on the vertical motion and the vertical tire load, but also reflects the unevenness of the road surface on vehicle lateral motion. In order to improve the handling stability and transient safety of the vehicle, a synchronous control system combining six-wheel steering and front wheel active steering is proposed. It solves the problem that it is difficult to effectively track the desired yaw rate for the three-axle all-wheel steering vehicle with the middle rear wheel angle as the control input. Under the framework of the vehicle vertical/lateral unified coupling dynamics model, the semiactive suspension system controlled by fuzzy PID and the six-wheel active steering system combined with fuzzy control and fuzzy PID control are integrated. It is verified that the synchronous control method effectively optimizes the vertical and lateral motion characteristics of heavy-duty vehicles during steering and, at the same time, improves the ride comfort and steering stability.

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Gao, Xingbang, Jiaojiao Li, Ruiyuan Liu, Shuai Zhang, and Pengcheng Ma. "Research on Vehicle Longitudinal Control Method Based on Model Predictive Control." Frontiers in Computing and Intelligent Systems 1, no. 3 (October 25, 2022): 42–47. http://dx.doi.org/10.54097/fcis.v1i3.2068.

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Анотація:

In order to improve the safety of autonomous vehicles during driving and the comfort of drivers and passengers, the longitudinal dynamics model of the vehicle is first established. Secondly, the longitudinal motion control strategy is designed considering the influence of vehicle driving safety and driver comfort. Based on this, a longitudinal motion controller based on model predictive control is established. The upper controller uses the model predictive control algorithm to calculate the expected acceleration, and the lower controller uses the vehicle inverse longitudinal dynamics model to convert the expected acceleration calculated by the upper controller into throttle opening and braking pressure. Finally, the effectiveness of the longitudinal motion controller is verified by MATLAB / Simulink under different working conditions. The simulation results show that the longitudinal motion controller designed in this paper improves the comfort of drivers and passengers under the premise of ensuring the safety of vehicles.

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Güleryüz, İbrahim Can, and Özgün Başer. "Modelling the longitudinal braking dynamics for heavy-duty vehicles." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 235, no. 10-11 (March 26, 2021): 2802–17. http://dx.doi.org/10.1177/09544070211004508.

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Анотація:

This paper establishes a reliable heavy-duty braking system model that can be used for response time prediction and for vehicle braking calculations regarding the legislative requirements. For the response time prediction, a pneumatic system model of a heavy-duty vehicle is constructed by Matlab Simulink in consideration of service brake layout. To ensure the accuracy of system parameters related with pneumatic system response time experiments are conducted on two different 4 × 4 heavy-duty vehicles. The numerically calculated response time results are validated with experimental data. To improve the response time of the vehicle, design modifications are conducted on the pneumatic brake system properties. To check the compliance of the pneumatic brake system design with legislative requirements of UN Regulation 13, heavy-duty vehicle brake system (HVBS) model is developed by using Matlab Simulink. HVBS model is composed of longitudinal vehicle and wheel dynamics, Magic Formula tyre model, wheel slip and the experimentally verified heavy-duty pneumatic system model. The braking performance analyses are conducted by using HVBS model to compare the design alternatives in accordance with the legal requirements in terms of service braking and secondary braking conditions.

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Дисертації з теми "Vehicle Longitudinal Dynamics"

Hamersma, H. A. (Herman Adendorff). "Longitudinal vehicle dynamics control for improved vehicle safety." Diss., University of Pretoria, 2013. http://hdl.handle.net/2263/40829.

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Анотація:

An autonomous vehicle is a vehicle that is capable of navigating and driving with no human intervention whatsoever through the utilization of various sensors and positioning systems. The possible applications of autonomous vehicles are widespread, ranging from the aerospace industry to the mining and military sectors where the exposure of human operators to the operating conditions is hazardous to their health and safety. Automobile accidents have become the leading cause of death in certain segments of the world population. Removing the human driver from the decision-making process through automation may result in significantly safer highways. Although full autonomy may be the ultimate goal, there is huge scope for systems that aid the driver in decision making or systems that take over from the driver under conditions where the human driver fails. The aim of the longitudinal control system to be implemented on the Land Rover test vehicle in this study is to improve the vehicle’s safety by controlling the vehicle’s longitudinal behaviour. A common problem with sports-utility-vehicles is the low rollover threshold, due to a high centre of gravity. Rather than modifying the vehicle to increase the rollover threshold, the aim of the control system presented here is to prevent the vehicle from exceeding speeds that would cause the vehicle to reach its rollover threshold. In order to develop a control system that autonomously controls the longitudinal degree of freedom, a model of the test vehicle (a 1997 Land Rover Defender 110 Wagon) was developed in MSC.ADAMS/View and validated experimentally. The model accurately captures the response of the test vehicle to supply forces as generated by the engine and demand forces applied through drag, braking and engine braking. Furthermore, the model has been validated experimentally to provide reliable simulation results for lateral and vertical dynamics. The control system was developed by generating a reference speed that the vehicle must track. This reference speed was formulated by taking into account the vehicle’s limits due to lateral acceleration, combined lateral and longitudinal acceleration and the vehicle’s performance capabilities. The control system generates the desired throttle pedal position, hydraulic pressure in the brake lines, clutch position and gear selection as output. The MSC.ADAMS\View model of the test vehicle was used to evaluate the performance of the control system on various racetracks of which the GPS coordinates were available. The simulation results indicate that the control system performs as expected. Finally, the control system was implemented on the test vehicle and the performance was evaluated by conducting field tests in the form of a severe double lane change manoeuvre. The results of the field tests indicated that the control system limited the acceleration vector of the vehicle’s centre of gravity to prescribed limits, as predicted by the simulation results.
Dissertation (MEng)--University of Pretoria, 2013.
gm2014
Mechanical and Aeronautical Engineering
unrestricted

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Heffernan, Matthew Evan Bevly David M. "Simulation, estimation, and experimentation of vehicle longitudinal dynamics that effect fuel economy." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Summer/Theses/HEFFERNAN_MATTHEW_41.pdf.

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Lu, Ming. "System Dynamics Model for Testing and Evaluating Automatic Headway Control Models for Trucks Operating on Rural Highways." Diss., This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-01292008-113749/.

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Polack, Philip. "Cohérence et stabilité des systèmes hiérarchiques de planification et de contrôle pour la conduite automatisée." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEM025/document.

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Анотація:

La voiture autonome pourrait réduire le nombre de morts et de blessés sur les routes tout en améliorant l'efficacité du trafic. Cependant, afin d'assurer leur déploiement en masse sur les routes ouvertes au public, leur sécurité doit être garantie en toutes circonstances. Cette thèse traite de l'architecture de planification et de contrôle pour la conduite automatisée et défend l'idée que l'intention du véhicule doit correspondre aux actions réalisées afin de garantir la sécurité à tout moment. Pour cela, la faisabilité cinématique et dynamique de la trajectoire de référence doit être assurée. Sinon, le contrôleur, aveugle aux obstacles, n'est pas capable de la suivre, entraînant un danger pour la voiture elle-même et les autres usagers de la route. L'architecture proposée repose sur la commande à modèle prédictif fondée sur un modèle bicyclette cinématique afin de planifier des trajectoires de référence sûres. La faisabilité de la trajectoire de référence est assurée en ajoutant une contrainte dynamique sur l'angle au volant, contrainte issue de ces travaux, afin d'assurer que le modèle bicyclette cinématique reste valide. Plusieurs contrôleurs à haute-fréquence sont ensuite comparés afin de souligner leurs avantages et inconvénients. Enfin, quelques résultats préliminaires sur les contrôleurs à base de commande sans modèle et leur application au contrôle automobile sont présentés. En particulier, une méthode efficace pour ajuster les paramètres est proposée et implémentée avec succès sur la voiture expérimentale de l'ENSIAME en partenariat avec le laboratoire LAMIH de Valenciennes
Autonomous vehicles are believed to reduce the number of deaths and casualties on the roads while improving the traffic efficiency. However, before their mass deployment on open public roads, their safety must be guaranteed at all time.Therefore, this thesis deals with the motion planning and control architecture for autonomous vehicles and claims that the intention of the vehicle must match with its actual actions. For that purpose, the kinematic and dynamic feasibility of the reference trajectory should be ensured. Otherwise, the controller which is blind to obstacles is unable to track it, setting the ego-vehicle and other traffic participants in jeopardy. The proposed architecture uses Model Predictive Control based on a kinematic bicycle model for planning safe reference trajectories. Its feasibility is ensured by adding a dynamic constraint on the steering angle which has been derived in this work in order to ensure the validity of the kinematic bicycle model. Several high-frequency controllers are then compared and their assets and drawbacks are highlighted. Finally, some preliminary work on model-free controllers and their application to automotive control are presented. In particular, an efficient tuning method is proposed and implemented successfully on the experimental vehicle of ENSIAME in collaboration with the laboratory LAMIH of Valenciennes

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Bilík, Martin. "Možnosti zjišťování vlivu elektronických stabilizačních systémů podvozku na jízdní dynamiku vozidla." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-232544.

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This diploma thesis deals with the possibilities of determining the influence of electronic stability systems on the chassis of the vehicle driving dynamics. In the introductory section is made theoretical analysis of road vehicle dynamics. Further description is made of some stabilization systems and situations and how to solve them by using these systems. Chapter 6.2.1 describes the methodology of practical experiment, which can determine influence of the stability system of the vehicle chassis on driving dynamics. The next chapter describes an experiment conducted and interpreted the measured values. The penultimate chapter is a simulation of this experiment using simulation software Virtual Crash. The last chapter is an evaluation of the experiment and compares the results with simulation programs using the same input conditions. The conclusion summarizes the results of this work.

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Chambers, John R. "Longitudinal dynamic modeling and control of powered parachute aircraft /." Online version of thesis, 2007. http://hdl.handle.net/1850/3928.

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Geamanu, Marcel-Stefan. "Estimation and dynamic longitudinal control of an electric vehicle with in-wheel electric motors." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00871231.

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The main objective of the present thesis focuses on the integration of the in-wheel electric motors into the conception and control of road vehicles. The present thesis is the subject of the grant 186-654 (2010-2013) between the Laboratory of Signals and Systems (L2S-CNRS) and the French Institute of Petrol and New Energies (IFPEN). The thesis work has originally started from a vehicular electrification project, equipped with in-wheel electric motors at the rear axle, to obtain a full electric urban use and a standard extra-urban use with energy recovery at the rear axle in braking phases. The standard internal combustion engines have the disadvantage that complex estimation techniques are necessary to compute the instantaneous engine torque. At the same time, the actuators that control the braking system have some delays due to the hydraulic and mechanical circuits. These aspects represent the primary motivation for the introduction and study of the integration of the electric motor as unique propelling source for the vehicle. The advantages brought by the use of the electric motor are revealed and new techniques of control are set up to maximize its novelty. Control laws are constructed starting from the key feature of the electric motor, which is the fact that the torque transmitted at the wheel can be measured, depending on the current that passes through the motor. Another important feature of the electric motor is its response time, the independent control, as well as the fact that it can produce negative torques, in generator mode, to help decelerate the vehicle and store energy at the same time. Therefore, the novelty of the present work is that the in-wheel electric motor is considered to be the only control actuator signal in acceleration and deceleration phases, simplifying the architecture of the design of the vehicle and of the control laws. The control laws are focused on simplicity and rapidity in order to generate the torques which are transmitted at the wheels. To compute the adequate torques, estimation strategies are set up to produce reliable maximum friction estimation. Function of this maximum adherence available at the contact between the road and the tires, an adequate torque will be computed in order to achieve a stable wheel behavior in acceleration as well as in deceleration phases. The critical issue that was studied in this work was the non-linearity of the tire-road interaction characteristics and its complexity to estimate when it varies. The estimation strategy will have to detect all changes in the road-surface adherence and the computed control law should maintain the stability of the wheel even when the maximum friction changes. Perturbations and noise are also treated in order to test the robustness of the proposed estimation and control approaches.

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Eckert, Jony Javorski 1988. "Análise comparativa entre os métodos de cálculo da dinâmica longitudinal em veículos." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/264392.

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Анотація:

Orientador: Franco Giuseppe Dedini
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica
Made available in DSpace on 2018-08-22T04:27:38Z (GMT). No. of bitstreams: 1 Eckert_JonyJavorski_M.pdf: 14458146 bytes, checksum: b2eb0f5d4618d1873858f49c66965bec (MD5) Previous issue date: 2013
Resumo: Dinâmica veicular é o estudo das interações entre o veículo, condutor e o ambiente bem como as reações de carga, sendo esta dividida em 3 grandes áreas: dinâmica longitudinal, vertical e lateral. Existem variações entre os métodos propostos pela literatura para o cálculo da dinâmica longitudinal do veículo, sendo que o objetivo deste trabalho é, por meio de simulações, compararem os resultados obtidos pelas diversas metodologias. Por meio de um modelo gerado com auxílio do programa de análise dinâmica de multicorpos Adams®, juntamente com o Simulink Matlab®, foram implementados os métodos de cálculo propostos pela literatura de forma a simular o comportamento de um veículo em função de uma demanda de potência gerada por meio do padrão de velocidades imposto pelos ciclos das normas brasileiras NBR6601 e NBR7024. Os resultados encontrados foram comparados por meio da correlação linear entre as curvas de torque resultantes do modelo dinâmico, possibilitando uma avaliação entre os resultados encontrados pelos diferentes métodos. Também foram avaliados o consumo de combustível, a influência da variação da massa do veículo e da estratégia de condução no comportamento dinâmico do veículo, bem como modelos complementares referentes a veículos híbridos e o efeito da adição de um modelo de embreagem no conjunto simulado
Abstract: Vehicular dynamics is the study of interactions between vehicle, driver and load reactions. The vehicular dynamics is divided into three areas: longitudinal, vertical and lateral. There are variations between the methods proposed in the literature to calculate the longitudinal dynamics of the vehicle. The purpose of this study is, through simulations; compare the results obtained by different methods. By means of a model generated by Adams® (Software of Multibody Dynamics Analysis) together with Simulink Matlab® were implemented the calculation methods proposed by literature to simulate the behavior of a vehicle according to a power demand resulting from the default speeds cycles required by Brazilian Standards NBR6601 and NBR7024. The results were compared using linear correlation between the couple curves resulting from the dynamic model, allowing an evaluation of the results reported by different methods. Were also evaluated: the fuel consumption and the influence of the mass vehicle variation, the driving strategy in the vehicle dynamic behavior, some complementary models of hybrid vehicles and the effect of add a clutch model
Mestrado
Mecanica dos Sólidos e Projeto Mecanico
Mestre em Engenharia Mecânica

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Tesař, Michal. "Dynamické parametry sportovního a konvenčního vozidla." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382225.

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Анотація:

This master´s thesis is focused on chosen dynamic parameters of a sport vehicle represented by student formula Dragon 7 and comparison of these parameters with conventional vehicles represented by two exemplars of ŠKODA Superb III. Driving tests used for the comparison are simulating the real driving situations from the roads in order to possibly use those for the road accident analysis in the future. All the measurements were taken under lower adhesion conditions which might help solving of the road accidents under such conditions in the future. There is also a description of vehicle driving systems and components which have an influence on the vehicle´s driving dynamics incorporated in the thesis.

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Treschl, Jakub. "Analýza akcelerační a decelerační charakteristiky vozidla." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-318717.

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Анотація:

This master's thesis designs acceleration and deceleration measurement method by a test drive. It contains also measurement realisation, design of the computational model and acquired data analysis and evaluation.

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Більше джерел

Частини книг з теми "Vehicle Longitudinal Dynamics"

Popp, Karl, and Werner Schiehlen. "Longitudinal Motions." In Ground Vehicle Dynamics, 263–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68553-1_8.

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Rajamani, Rajesh. "Longitudinal Vehicle Dynamics." In Mechanical Engineering Series, 87–111. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-1433-9_4.

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Yu, Jingsheng, and Vladimir Vantsevich. "Vehicle Longitudinal Dynamics." In Control Applications of Vehicle Dynamics, 55–72. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003134305-3.

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Meijaard, Jaap P. "Modelling and Simulation of Longitudinal Tyre Behaviour." In Non-smooth Problems in Vehicle Systems Dynamics, 161–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01356-0_14.

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Ferrara, Antonella, and Gian Paolo Incremona. "Sliding Modes Control in Vehicle Longitudinal Dynamics Control." In Advances in Variable Structure Systems and Sliding Mode Control—Theory and Applications, 357–83. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62896-7_15.

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Wielitzka, M., S. Eicke, A. Busch, M. Dagen, and T. Ortmaier. "Unscented Kalman filter for combined longitudinal and lateral vehicle dynamics." In Advanced Vehicle Control AVEC’16, 515–20. CRC Press/Balkema, P.O. Box 11320, 2301 EH Leiden, The Netherlands, e-mail: Pub.NL@taylorandfrancis.com, www.crcpress.com – www.taylorandfrancis.com: Crc Press, 2016. http://dx.doi.org/10.1201/9781315265285-82.

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Li, Yinong, Zheng Ling, Yang Liu, and Yanjuan Qiao. "Method of Fuzzy-PID Control on Vehicle Longitudinal Dynamics System." In Fuzzy Systems and Knowledge Discovery, 822–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539506_101.

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Zhong, Xiao-Fang, Ning Yuan, Shi-Yuan Han, Yue-Hui Chen, and Dong Wang. "Safety Inter-vehicle Policy Based on the Longitudinal Dynamics Behaviors." In Intelligent Computing Theories and Application, 720–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63312-1_64.

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Quirke, Paraic, Eugene J. Obrien, Cathal Bowe, and Daniel Cantero. "Estimation of Railway Track Longitudinal Profile Using Vehicle-Based Inertial Measurements." In Special Topics in Structural Dynamics, Volume 5, 145–48. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75390-4_12.

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Singh, Ritesh, Om Prakash, Sudhir Joshi, and Yogananda Jeppu. "Bifurcation Analysis of Longitudinal Dynamics of Generic Air-Breathing Hypersonic Vehicle for Different Operating Flight Conditions." In Nonlinear Dynamics and Applications, 1149–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99792-2_97.

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Тези доповідей конференцій з теми "Vehicle Longitudinal Dynamics"

Koo, Shiang-Lung, Han-Shue Tan, and Masayoshi Tomizuka. "Analysis of Vehicle Longitudinal Dynamics for Longitudinal Ride Comfort." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15161.

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Longitudinal ride comfort is one of the most crucial features to most advanced vehicle control systems. Literature review shows that the ride comfort analysis in vehicle longitudinal motion can be divided into two categories: time domain and frequency domain. Most vehicle longitudinal control designs incorporate jerk and acceleration constraints from the time-domain comfort criterion. However, the vehicle longitudinal characteristics in the frequency range important to passenger ride comfort are rarely discussed in the vehicle control literature. This paper proposes an improved vehicle longitudinal model that captures tire and suspension modes accurately and investigates the impact of these often-ignored vehicle resonant modes to ride comfort. This study shows that the "tire-mode switching behavior" affects longitudinal ride comfort of a stopping vehicle rather than the suspension. A passenger car was tested as an example, and the collected data verified the analytical prediction from the improved vehicle longitudinal model.

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Das, Soumyo, and Shrudhanidhi. "Vehicle Dynamics Modelling: Lateral and Longitudinal." In 2021 8th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2021. http://dx.doi.org/10.1109/spin52536.2021.9566093.

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Shakouri, P., D. S. Laila, A. Ordys, and M. Askari. "Longitudinal vehicle dynamics using Simulink/Matlab." In UKACC International Conference on CONTROL 2010. Institution of Engineering and Technology, 2010. http://dx.doi.org/10.1049/ic.2010.0410.

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Verma, Rajeev, Domitilla Del Vecchio, and Hosam K. Fathy. "Longitudinal Vehicle Dynamics Scaling and Implementation on a HIL Setup." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2236.

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This paper presents the application of Buckingham’s π theorem to scale the powertrain of a High Mobility Multipurpose Wheeled Vehicle (HMMWV) by deriving non dimensional ratios called π parameters. A Hardware In the Loop (HIL) setup is constructed and the resulting longitudinal dynamics of the scaled vehicle are validated against those of a full scale vehicle model. This is performed with the ultimate goal of testing cooperative collision avoidance algorithms on a testbed comprising a number of these scaled vehicles. This paper is based on “Development of a scaled vehicle with Longitudinal dynamics of a HMMWV for ITS testbed”, by Verma, R., Domitilla Del Vecchio, and Hosam K. Fathy which appeared in IEEE/ASME Transactions on Mechatronics, February 2008 and is being reprinted with permission from IEEE.

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Altmannshofer, Simon, Christian Endisch, Jan Martin, Martin Gerngross, and Reimund Limbacher. "Robust estimation of vehicle longitudinal dynamics parameters." In 2016 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2016. http://dx.doi.org/10.1109/ivs.2016.7535443.

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Vosahlik, David, Tomas Hanis, and Martin Hromcik. "Vehicle longitudinal dynamics control based on LQ." In 2019 22nd International Conference on Process Control (PC19). IEEE, 2019. http://dx.doi.org/10.1109/pc.2019.8815044.

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Sharaf, A. Am, G. Mavros, H. Rahnejat, and P. D. King. "Multi-Physics Modeling Approach in All Terrain Vehicle Longitudinal Dynamics." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13578.

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This paper presents a detailed 4×4 off-road vehicle modelling method, based on a multi-physics approach. A full drivetrain system including all aspects of rotational inertial dynamics, friction, damping and stiffness properties is integrated with a fourteen-degrees-of-freedom vehicle model including body dynamics, kinematics, suspension and wheel dynamics as well as the terramechanical phenomena between tyres and soft soils. The interaction between all these modules is implemented in the MATLAB/SIMULINK/SimDriveline environment. The concepts of modularity, flexibility, and user-friendliness were emphasized during model development. The model is developed in order to provide design engineers with the capability to investigate effects of component selection and to develop control systems and automatic optimization processes for off-road 4×4 vehicles. While the modelling approach can be used for a wide variety of operating conditions, the present work focuses on the analysis of the contribution of different aspects on the off-road traction of 4×4 vehicles.

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Haggag, Salem A. "Revisiting Vehicle Braking Longitudinal Dynamics with a Sliding Mode Controller." In SAE 2015 Commercial Vehicle Engineering Congress. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2015. http://dx.doi.org/10.4271/2015-01-2748.

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Banerjee, Joydeep, and John McPhee. "Volumetric Tire Models for Longitudinal Vehicle Dynamics Simulations." In SAE 2016 World Congress and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2016. http://dx.doi.org/10.4271/2016-01-1565.

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Syahira, H., M. Abdullah, S. Ahmad, M. A. S. Zainuddin, and K. A. Tofrowaih. "Modelling of vehicle longitudinal dynamics using system identification." In 8th International Conference on Mechatronics Engineering (ICOM 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.2267.

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Звіти організацій з теми "Vehicle Longitudinal Dynamics"

She, Ruifeng, and Yanfeng Ouyang. Generalized Link-Cost Function and Network Design for Dedicated Truck-Platoon Lanes to Improve Energy, Pavement Sustainability, and Traffic Efficiency. Illinois Center for Transportation, November 2021. http://dx.doi.org/10.36501/0197-9191/21-037.

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Recent development of autonomous and connected trucks (ACT) has provided the freight industry with the option of using truck platooning to improve fuel efficiency, traffic throughput, and safety. However, closely spaced and longitudinally aligned trucks impose frequent and concentrated loading on pavements, which often accelerates pavement deterioration and increases the life cycle costs for the highway agency. Also, effectiveness of truck platooning can be maximized only in dedicated lanes; and its benefits and costs need to be properly balanced between stakeholders. This paper proposes a network-design model to optimize (i) placement of dedicated truck-platoon lanes and toll price in a highway network, (ii) pooling and routing of ACT traffic from multiple origins and destinations to utilize these lanes, and (iii) configuration of truck platoons within these lanes (e.g., lateral displacements and vehicle separations). The problem is formulated as an integrated bi-level optimization model. The upper level makes decisions on converting existing highway lanes into dedicated platoon lanes, as well as setting user fees. The lower-level decisions are made by independent shippers regarding the choice of routes and use of platoon lanes vs. regular lanes; and they collectively determine truck traffic in all lanes. Link-cost functions for platoon lanes are obtained by simultaneously optimizing, through dynamic programming, pavement-rehabilitation activities and platoon configuration in the pavement's life cycle. A numerical case study is used to demonstrate the applicability and performance of the proposed model framework over the Illinois freeway system. It is shown that the freight traffic is effectively channelized on a few corridors of platoon lanes and, by setting proper user fees to cover pavement-rehabilitation costs, systemwide improvements for both freight shippers and highway agencies can be achieved.

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Event-Triggered Adaptive Robust Control for Lateral Stability of Steer-by-Wire Vehicles with Abrupt Nonlinear Faults. SAE International, July 2022. http://dx.doi.org/10.4271/2022-01-5056.

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Because autonomous vehicles (AVs) equipped with active front steering have the features of time varying, uncertainties, high rate of fault, and high burden on the in-vehicle networks, this article studies the adaptive robust control problem for improving lateral stability in steer-by-wire (SBW) vehicles in the presence of abrupt nonlinear faults. First, an upper-level robust H∞ controller is designed to obtain the desired front-wheel steering angle for driving both the yaw rate and the sideslip angle to reach their correct values. Takagi-Sugeno (T-S) fuzzy modeling method, which has shown the extraordinary ability in coping with the issue of nonlinear, is applied to deal with the challenge of the changing longitudinal velocity. The output of the upper controller can be calculated by a parallel distributed compensation (PDC) scheme. Then an event-triggered adaptive fault-tolerant lower controller (ET-AFTC) is proposed to drive the whole SBW system driving the desired steering angle offered by the upper controller with fewer communication resources and strong robustness. By employing a backstepping technique, the tracking performance is improved. The dynamic surface control (DSC) approach is used to avoid the problem of repeated differentiations, and Nussbaum function is adopted to overcome the difficulty of unknown nonlinear control gain. Both the stability of the upper and lower controllers can be guaranteed by Lyapunov functions. Finally, the simulations of Matlab/Simulink are given to show that the proposed control strategy is effectively able to deal with the abrupt nonlinear fault via less communication resources and perform better in ensuring the yaw stability of the vehicle.

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