Optimal parameter estimation in semi-empirical tire models

López, Alexander; Olazagoitia, José Luis; Marzal, F.; Rubio, María Rosario

doi:10.1177/0954407018779851

Cited by 7 publications

(6 citation statements)

References 35 publications

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“…Meanwhile, the effect-based method attempts to simplify the mathematical models to estimate friction [ 23 , 24 ]. Therefore, tire models [ 25 , 26 , 27 , 28 , 29 , 30 ], vehicle dynamics models [ 23 , 31 ], and aircraft dynamics models [ 32 , 33 , 34 , 35 , 36 , 37 ] are often used to estimate the friction coefficient. However, the research of these algorithms is inseparable from the multi-sensor information fusion technology.…”

Section: Related Workmentioning

confidence: 99%

“…Germann [ 27 ] proposed an equation to describe the friction coefficient and slip based on the MFTM (Equation (6)). Alberto [ 28 ] used the model approximation method of Jacobi polynomial series expansion magic formula to estimate tire force Equation (7). Rui, et al [ 29 ] and Zhun, et al [ 30 ] gave the relationship between model parameters and tire pressure and load.…”

Section: Measurement For Friction Coefficientmentioning

confidence: 99%

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Estimation for Runway Friction Coefficient Based on Multi-Sensor Information Fusion and Model Correlation

Niu

Zhang

Tian

et al. 2020

Sensors

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Friction is a crucial factor affecting air accident occurrence on landing or taking off. Tire–runway friction directly contributes to aircraft stability on land. Therefore, an accurate friction estimation is a rising issue for all stakeholders. This paper summarizes the existing measurement methods, and a multi-sensor information fusion scheme is proposed to estimate the friction coefficient between the tire and the runway. Acoustic sensors, optical sensors, tread sensors, and other physical sensors form a sensor system that is used to measure friction-related parameters and fuse them through a neural network. So far, many attempts have been made to link the ground friction coefficient with the aircraft braking friction coefficient. The models that have been developed include the International Runway Friction Index (IRFI), Canada Runway Friction Index (CRFI), and other fitting models. Additionally, this paper attempts to correlate the output of the neural network (estimated friction coefficient) with the correlation model to predict the friction coefficient between the tire and the runway when the aircraft brakes. The sensor system proposed in this paper can be regarded as a mobile weather–runway–tire system, which can estimate the friction coefficient by integrating the runway surface conditions and the tire conditions, and fully consider their common effects. The role of the correlation model is to convert the ground friction coefficient to the grade of the aircraft braking friction coefficient and the information is finally reported to the pilots so that they can make better decisions.

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Section: Related Workmentioning

confidence: 99%

Section: Measurement For Friction Coefficientmentioning

confidence: 99%

Estimation for Runway Friction Coefficient Based on Multi-Sensor Information Fusion and Model Correlation

Niu

Zhang

Tian

et al. 2020

Sensors

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show abstract

“…For this reason, a lot of researches have been done in the form of experimental and the preparation of suitable mathematical models for the tire. [29][30][31][32][33][34] One of the complete tire models is Pacejka model, which examines the longitudinal and lateral forces of the tire under different inputs such as camber angle and vertical force of the wheels. [35][36][37][38][39] In vehicles, the engine is usually installed in two positions: in-line engine (crankshaft along the length of the vehicle) and transverse engine (crankshaft along the width of the vehicle).…”

Section: Introductionmentioning

confidence: 99%

The influence of engine gyroscopic moments on vehicle transient handling

Shahabi

Kazemian

Farahat

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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This study presents the dynamics of a 15-DOF model of the vehicle by performing simulations to investigate the vehicle handling dynamics in J-turn maneuver. Using Newton’s equations of motion, the equations of motion for the sprung and unsprung masses are all written in the vehicle coordinate system and the tire is modeled with the Pacejka 89 model. Since the engine crankshaft has a rotation relative to the vehicle coordinate system, in order to investigate the effect of the engine gyroscopic moments on the vehicle handling dynamics, the effect of the crankshaft rotation on the torque vector of external forces is considered. The direction of crankshaft rotation can change the direction of engine rotation in the direction of the wheels rotation or in the opposite direction of their rotation, which causes some changes in the gyroscopic torque vector of the engine. Due to the rotation speed of the crankshaft and its moment of inertia, the gyroscopic moments which resulted from the angular momentum of the engine crankshaft are considerable. These gyroscopic moments are added to the torque equation of external forces in the vehicle coordinate system and affect the vehicle handling dynamics. By using the numerical method of Newmark, vehicle’s dynamic behavior is investigated and the validation of its dynamic behavior is done by ADAMS/Car software. This study shows that in transverse engine, if the direction of engine rotation is in the opposite direction of the wheels, the vehicle handling dynamics is improved.

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“…The wheel plays an important role in lightweight vehicle design and manufacturing. Moreover, magnesium alloys are very important materials in lightweight design, and topology optimization is carried out to determine the optimal distribution and structure of the materials (López et al , 2019; Messana et al , 2019; Loi and Choy, 2019; Deaton and Grandhi, 2014).…”

Section: Introductionmentioning

confidence: 99%

Study on casting design and analysis of magnesium alloy wheel

Jiang¹,

Hu²,

Liu³

et al. 2021

MMMS

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PurposeThis research establishes a suitable casting model for magnesium alloy wheel. The casting of the wheel is an element that must be considered in the design of the wheel. Casting is an important basic process and technology in the field of machinery which is widely used in production, transportation, national defense, social life and other aspects. Computer numerical simulation of the casting process can shorten the product manufacturing cycle, reduce product costs, reduce casting defects and ensure product quality. The casting material in this study is AZ91 magnesium alloy used for wheel lightweight.Design/methodology/approachLightweight research of automobile is a significant trend, and people are paying attention to the lightweight design of automobiles. Higher requirement was proposed on design and casting performance of the wheel which is an important part of lightweighting vehicle. In order to achieve better quality, the parametric studies of alloy wheel and casting are necessary. This research designs a new model of automobile wheel, to ensure energy efficiency, the wheels must be as lightweight as possible, using magnesium alloy material for lightweight.FindingsAnalysis of casting process is a very complex issue. This research based on finite element theory and actual production, designed reasonable casting model, instant filling and solidification data were obtained. Aiming at reducing casting defects, process improvement of casting riser structure was designed. On the basis of the foundation, it has important guiding significance for actual foundry production.Originality/valueThis research establish a suitable casting model for magnesium alloy wheel. Aiming at reducing casting defects, process improvement of casting riser structure were designed.

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Optimal parameter estimation in semi-empirical tire models

Cited by 7 publications

References 35 publications

Estimation for Runway Friction Coefficient Based on Multi-Sensor Information Fusion and Model Correlation

Estimation for Runway Friction Coefficient Based on Multi-Sensor Information Fusion and Model Correlation

The influence of engine gyroscopic moments on vehicle transient handling

Study on casting design and analysis of magnesium alloy wheel

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