A new contact &amp; slip model for tracked vehicle transient dynamics on hard ground

Özdemir, Mehmet Nuri; Kılıç, Varlık; Ünlüsoy, Y. Samim

doi:10.1016/j.jterra.2017.07.001

Cited by 26 publications

(11 citation statements)

References 8 publications

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“…The aim of these kinds of models is to analyse the behaviour, manoeuvrability and stability of the vehicle during cornering. For this purpose many kinds of models can be found in the literature [44]- [46]. The type of the applied model depends on the speed of vehicle.…”

Section: Lateral Vehicle Modelsmentioning

confidence: 99%

Survey of the Application Fields and Modeling Methods of Automotive Vehicle Dynamics Models

Szántó,

Hajdu,

Deák

2020

IJEMS

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In this paper, a review is presented on automotive vehicle dynamics modeling. Applied vehicle dynamics models from various application fields are analyzed and classified in the first section. Vehicle dynamics models may be simplified because of different reasons: several control/estimation/analysis methods are suitable only for simplified models (e.g. using control-oriented models), or because of the computational cost. Detailed/truth models of vehicle dynamics represent another field of vehicle dynamics modeling, these models play an important role in the virtual prototyping of vehicles. In the second section, the main modeling considerations of vehicle dynamics are presented in longitudinal, lateral and vertical directions. Various physical effects must be considered in the case of vehicle dynamics modeling, a lot of these effects are significant only in a specific direction of the vehicle body, which is the main potential of model simplification. The section presents vehicle modeling considerations in all of the three translational directions of the vehicle body.

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Section: Lateral Vehicle Modelsmentioning

confidence: 99%

Survey of the Application Fields and Modeling Methods of Automotive Vehicle Dynamics Models

Szántó,

Hajdu,

Deák

2020

IJEMS

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“…There are a multitude of models for predicting longitudinal dynamics [ 17 ]. These models are found between the following extremes: the model regarding the mobility of vehicles on tracks [ 18 ] and the one that studies the interaction of the wheels (tracks) with the ground [ 19 , 20 , 21 , 22 , 23 , 24 ]. The final model (1) resulted from the processing of models for wheeled vehicles, as there is no unitary model for tracked military vehicles.…”

Section: Introductionmentioning

confidence: 99%

“…Tanks are complex structures, which create difficulties in establishing models. Among the algorithms developed and implemented in software, we mention: MOSES [ 21 ], NTVPM [ 22 , 23 , 24 ] and the least square method (LSM) [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Considerations for Determining the Coefficient of Inertia Masses for a Tracked Vehicle

Alexa

Coropeţchi

Vasile

et al. 2020

Sensors

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The purpose of the article is to present a point of view on determining the mass moment of inertia coefficient of a tracked vehicle. This coefficient is very useful to be able to estimate the performance of a tracked vehicle, including slips in the converter. Determining vehicle acceleration plays an important role in assessing vehicle mobility. Additionally, during the transition from the Hydroconverter to the hydro-clutch regime, these estimations become quite difficult due to the complexity of the propulsion aggregate (engine and hydrodynamic transmission) and rolling equipment. The algorithm for determining performance is focused on estimating acceleration performance. To validate the proposed model, tests were performed to determine the equivalent reduced moments of inertia at the drive wheel (gravitational method) and the main components (three-wire pendulum method). The dynamic performances determined during the starting process are necessary for the validation of the general model for simulating the longitudinal dynamics of the vehicle. Finally, the differential and algebraic equations of the virtual model approximate more accurately the actual process of the operation of the vehicle. The virtual model, through the data obtained from the simulation process, allows for the determination, indirectly, of the variation of the mass moment of inertia coefficient and its expression of approximation.

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“…It allows the tracked vehicles to travel smoothly on various cross-country roads at a higher speed and overcome a variety of natural and artificial obstacles. [1][2][3][4] As the main moving parts of track propulsion system, the road wheels have the functions of bearing the static and dynamic loads between the vehicle body and ground, supporting the car body, and reducing the vibration and noise. The dynamic characteristics of road wheels have a very important impact on the handling stability and ride comfort of tracked vehicles.…”

Section: Introductionmentioning

confidence: 99%

“…It allows the tracked vehicles to travel smoothly on various cross-country roads at a higher speed and overcome a variety of natural and artificial obstacles. 1–4…”

Section: Introductionmentioning

confidence: 99%

Rigid-flexible coupling modelling and dynamic performance analysis of novel flexible road wheel

Deng

Zhao

Han

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part K:

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A novel flexible road wheel with hub-hinge-ring combined structure is introduced to improve the buffer damping performance and lightweight level of tracked vehicles. To balance computational efficiency and precision, an advanced rigid-flexible coupled model of the flexible road wheel is established using a hybrid modelling method combining finite element method and multi-body dynamics. The reliability and accuracy of the established rigid-flexible coupled model are verified by wheel static loading experiment. The modal flexible body of the elastic outer ring is developed by modified Craig-Bampton method and the simulated results are in good agreement with the experimental data. Based on the verified rigid-flexible coupled model, the dynamic characteristics of the flexible road wheel under typical operation conditions were investigated. The simulation results show that when the motion state changes, the elastic outer ring will produce a hysteretic angle with respect to the hub, delaying the transmission of torque. The system parameters have a greater effect on the vertical vibration of the flexible road wheel. The higher the vehicle speed, the more vibration will be caused, and the increase in the load and number of hinge groups will reduce the vibration. The research results provide reference for structure optimization of flexible road wheel and lay a foundation for flexible multi-body dynamic simulation of tracked vehicles with flexible road wheels.

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A new contact & slip model for tracked vehicle transient dynamics on hard ground

Cited by 26 publications

References 8 publications

Survey of the Application Fields and Modeling Methods of Automotive Vehicle Dynamics Models

Survey of the Application Fields and Modeling Methods of Automotive Vehicle Dynamics Models

Considerations for Determining the Coefficient of Inertia Masses for a Tracked Vehicle

Rigid-flexible coupling modelling and dynamic performance analysis of novel flexible road wheel

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