Detection of road vehicle's centre of gravity

Skrúcaný, Tomáš; Synák, František; Semanová, Štefánia; Ondruš, Ján; Rievaj, Vladimír

doi:10.1109/autosafe.2018.8373334

Cited by 15 publications

(10 citation statements)

References 13 publications

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“…However, performing such analysis for a system with so many elements would be inefficient as it would be extremely time-consuming process. In practice, the position of the CG of complex systems (such as vehicles) is determined experimentally, for example, by means of strain gauges [65,66], similar to the methodology described in Section 2.6, or the measurement of the moment of inertia [67]. An unambiguous and direct determination of impact nature of the parameter a on the studied quantities is problematic and needs more study.…”

Section: Work Time Coverage and Torque Demandmentioning

confidence: 99%

An Analytical Modelling of Demand for Driving Torque of a Wheelchair with Electromechanical Drive

et al. 2021

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This study aimed at analysing the influence of the position of the centre of gravity variability and the movement velocity on the demand for a torque and work time coverage of a wheelchair with an electromechanical drive. The variable parameter in the study was the configuration of the wheelchair, namely changes in the position of the batteries which changed the weight distribution. An analytical model describing the demand for torque was used in the analysis. The set of equations was introduced into the numerical calculation software. Simulations were carried out which allowed it to analyse selected parameters of the wheelchair dynamics. An increase in the torque demand was observed due to the increase in the mass of the system from 427.7 N to 533.1 N, ranging from 6.1% to 31.6% at the simulated velocity v7 = 4.2 m/s. The increase in the demand for torque due to the increase in velocity of the wheelchair from v2 = 1.05 m/s to v7 = 4.2 m/s ranged from 25.9% to 31.6% compared to the reference velocity v1 = 0.525 m/s. The centre of gravity of the wheelchair structure localization has a non-linear impact on the analysed values. At the same time, it was not possible to define its nature—this issue remains open and requires further research.

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Section: Work Time Coverage and Torque Demandmentioning

confidence: 99%

An Analytical Modelling of Demand for Driving Torque of a Wheelchair with Electromechanical Drive

et al. 2021

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“…The position of the center of gravity affects the weight distribution between the individual wheels during cornering. The position of this point is unstable and depends on several factors (Skrúcaný et al, 2018). Skrúcaný et al (2018) presented the methodology of measuring the center of gravity's and the impact of its change depending on the occupancy of the car by passengers and baggage.…”

Section: Componentmentioning

confidence: 99%

Operational Tests of Brake Fluid in Passenger Cars

Caban

Vrábel

Šarkan

et al. 2020

Period. Polytech. Transp. Eng.

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During the operation of vehicles, the properties of liquids and consumables deteriorate, which may affect the level of safety of technical systems and road traffic safety. The results of testing brake fluid aging as a function of boiling point and percentage of water content were presented on a selected group of passenger cars. The tested vehicles were varied in terms of age and kilometer mileage. The methodology for testing the quality of brake fluid based on glycol selected passenger cars remaining in service has been presented. In this study was shown a significant decrease in the brake fluids quality during the two years of operation in vehicles. The determination of boiling point was more efficient than the determination of water content. Despite the lack of full vehicle operational information, the obtained test results allow for exciting observations.

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“…The authors found that a curved road section sustains about two to six times more damage especially that during such maneuvering lateral load transfer is higher, and lateral forces increase as well. This also makes important to assess the actual center of gravity in a heavy-duty truck as Skrúcaný et al [ 45 ] or Vu [ 46 ] presented it for a passenger car (with caring of other dynamic parameter for a particular vehicle), and Skrúcaný et al [ 47 ] for a van (the authors investigated the freight position in the vehicle’s loading area, individual axles of such a vehicle, and braking deceleration). It is worth mentioning here that braking distance for various allocation of gravity center in case of real-world freight transport vehicle was considered by Skrúcaný et al [ 48 ].…”

Section: Introductionmentioning

confidence: 99%

“…The list of publications presented at the end of Section 1.2 , which grouped the references [ 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 ...…”

Section: Introductionmentioning

confidence: 99%

Determination of Turning Radius and Lateral Acceleration of Vehicle by GNSS/INS Sensor

Jagelčák

Gnap

Kuba

et al. 2022

Sensors

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In this article, we address the determination of turning radius and lateral acceleration acting on a vehicle up to 3.5 t gross vehicle mass (GVM) and cargo in curves based on turning radius and speed. Global Navigation Satellite System with Inertial Navigation System (GNSS/INS) dual-antenna sensor is used to measure acceleration, speed, and vehicle position to determine the turning radius and determine the proper formula to calculate long average lateral acceleration acting on vehicle and cargo. The two methods for automatic selection of events were applied based on stable lateral acceleration value and on mean square error (MSE) of turning radiuses. The models of calculation of turning radius are valid for turning radius within 5–70 m for both methods of automatic selection of events with mean root mean square error (RMSE) 1.88 m and 1.32 m. The models of calculation of lateral acceleration are valid with mean RMSE of 0.022 g and 0.016 g for both methods of automatic selection of events. The results of the paper may be applied in the planning and implementation of packing and cargo securing procedures to calculate average lateral acceleration acting on vehicle and cargo based on turning radius and speed for vehicles up to 3.5 t GVM. The results can potentially be applied for the deployment of autonomous vehicles in solutions grouped under the term of Logistics 4.0.

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Detection of road vehicle's centre of gravity

Cited by 15 publications

References 13 publications

An Analytical Modelling of Demand for Driving Torque of a Wheelchair with Electromechanical Drive

An Analytical Modelling of Demand for Driving Torque of a Wheelchair with Electromechanical Drive

Operational Tests of Brake Fluid in Passenger Cars

Determination of Turning Radius and Lateral Acceleration of Vehicle by GNSS/INS Sensor

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