Analytical models correlation for vehicle dynamic handling properties

Vilela, Daniel; Barbosa, Roberto Spínola

doi:10.1590/s1678-58782011000400007

Cited by 15 publications

(9 citation statements)

References 5 publications

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“…That is, the understeer gradient increases with the increase in weight on the front axle. Therefore, with the increase in weight on rear axle, the result exhibit tendency to oversteer behavior [11,12]. The trends of study results hold well when compared with the theoretical predictions.…”

Section: Resultssupporting

confidence: 68%

The Influence of Weight Distribution on the Handling Characteristics of Intercity Bus under Steady State Vehicle Cornering Condition

2016

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Abstract. The vehicle cornering behavior is an important performance in handling stability especially for the intercity bus. Accordingly, one of the significant parameters concerns the weight distribution which is affected by the center of gravity (CG). In this paper, the effect of weight distribution while varying the turning radius is compared and it should be expressed, and interpreted by understeer gradient which is influenced by the location of CG. The characteristic of intercity bus was modeled and evaluated using the multi-body dynamic analysis software. The analysis has been conducted under steady state cornering based on a total of three configurations, with front/rear axle weight in percent, as 40/60, 45/55, and 50/50.The results stated that the magnitude of weight distribution on front axle of bus in a range of 40% to 50% caused the incremental value of understeer gradient and it was also increased as three times in each turning radius since the difference lateral slip angles between front and rear are expanded.

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Section: Resultssupporting

confidence: 68%

The Influence of Weight Distribution on the Handling Characteristics of Intercity Bus under Steady State Vehicle Cornering Condition

2016

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“…In contrast, at high velocities, the Figure 7 should be rather considered. = − is defined as the understeer gradient [19]:…”

Section: The 4ws Control Strategymentioning

confidence: 99%

Optimal Yaw Rate Control for Over-Actuated Vehicles

Kissai¹,

Monsuez²,

Mouton³

et al. 2020

SAE Technical Paper Series

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As we are heading towards autonomous vehicles, additional driver assistance systems are being added. The vehicle motion is automated step by step to ensure passengers' safety and comfort, while still preserving vehicle performance. However, simultaneous activations of concurrent systems may conflict, and non-suitable behavior may emerge. Our research work consists in proving that with the right coordination approach, simultaneous operation of different systems improve the vehicle's performance and avoid the emergence of unwanted conflicts. To prove this, we gathered different control architectures implemented in commercial passenger cars, and we compared them with our control architecture using a unified reference vehicle model. The high-fidelity vehicle model is developed in Simcenter Amesim in a modular and extensible manner. This enables adding systems in a plug-and-play way. Not only different control architectures can be tested on the same vehicle, but also different systems combinations can be evaluated. In this research, the vehicle can steer at the front and at the rear, and each wheel can be braked independently. Each of the actuators concerned can influence the vehicle's yaw rate leading in some cases in system conflicts. More complex control strategies are then implemented in Matlab/Simulink, and co-simulations are carried between both softwares in order to provide realistic results. It has been shown that optimal control allocation algorithms are more suitable to coordinate systems in an over-actuated vehicle. Moreover, if the optimization objectives are well formalized, performance, safety and comfort can be improved since the vehicle can benefit from the systems' synergies.

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“…Furthermore, the front and rear roll stiffness is assumed to contribute as parallel stiffness, so that one quarter of the vehicle can serve as physical substitute model. To obtain the favored roll-angle gradient, the implemented antiroll bar stiffness is calculated as presented by Vilela et Barbosa [33]. The roll moment depends on the mass 䁆, the lateral acceleration and the Center of Gravity (CG) height…”

Section: Roll Center and Anti-roll Bar Stiffnessmentioning

confidence: 99%

Parameter-adaption for a vehicle dynamics model for the evaluation of powertrain concept designs

et al. 2019

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The powertrain design of multi-motor electric vehicles directly affects not only costs, consumption and acceleration, but also the handling of a vehicle. Therefore, a holistic powertrain design optimization needs to include a vehicle dynamics model in its objective function. While the parameters for the powertrain model result from the design variables that describe the powertrain, the parameters for the vehicle dynamics model must be adapted in a feasible way to ensure comparable results. Therefore, the authors present a method on how to adaptively parametrize a double-track vehicle dynamics model for the use in powertrain design optimization. Automated design calculations for all main chassis and suspension parts are used to determine the parameters for the model. A parameter variation proves the plausibility of the approach. The results show that an adaption of the suspension and chassis parameters due to changes in the powertrain make results more comparable but do not compensate for the effects on the vehicle handling. In particular, the steady state longitudinal load distribution still has major influences on the vehicle handling.

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Analytical models correlation for vehicle dynamic handling properties

Cited by 15 publications

References 5 publications

The Influence of Weight Distribution on the Handling Characteristics of Intercity Bus under Steady State Vehicle Cornering Condition

The Influence of Weight Distribution on the Handling Characteristics of Intercity Bus under Steady State Vehicle Cornering Condition

Optimal Yaw Rate Control for Over-Actuated Vehicles

Parameter-adaption for a vehicle dynamics model for the evaluation of powertrain concept designs

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