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Numerical simulation of the automotive hydraulic steering systems
Published in Nicolae Vasiliu, Daniela Vasiliu, Constantin Călinoiu, Radu Puhalschi, Simulation of Fluid Power Systems with Simcenter Amesim, 2018
Nicolae Vasiliu, Daniela Vasiliu, Constantin Călinoiu, Radu Puhalschi
A common test in the automotive industry is called Moose Test and combines a sudden sine turn with the action of the Electronic Stability Program. From 2012, this kind of handle has to be performed by any car manufactured or sold in European Union (UE). In order to study the behavior of a hydraulic power steering in such a situation, the input steering speed (Figure 6.2.15) is a cosine curve, which is obtained by applying a similar torque to the torsion bar (Figure 6.2.16). The maximum torque value is a normal one (average between 6 and 8 Nm), but for half of the turning time it has high-frequency variations with a frequency of about 31 Hz (Figure 6.2.17).
Analysis and design of recovery behaviour of autonomous-vehicle avoidance manoeuvres
Published in Vehicle System Dynamics, 2022
Pavel Anistratov, Björn Olofsson, Lars Nielsen
The interwoven developments of sensor equipment and available computational power in modern passenger cars open up new possibilities for autonomous control functions in safety-critical situations to assist the driver, or even ultimately let the vehicle operate completely autonomously also in at-the-limit situations. One important manoeuvre, with significant passenger risk, is the double lane-change manoeuvre, e.g. as defined in the ISO double lane-change test [1]. This emergency manoeuvre is in Scandinavian countries also known as the ‘moose test’, i.e. an evasive manoeuvre for a moose suddenly appearing on the road, see Figure 1 for one version of the setup. A successful and promising approach to handle such manoeuvres has in recent research been dynamic optimisation for both computation and study of such vehicle manoeuvres [2,3]. Racing applications, and associated control of autonomous vehicles at the limit of tyre friction, based on optimal trajectories pre-computed offline with dynamic optimisation, provide another fruitful approach to the development of strategies for optimal vehicle manoeuvring [4]. Collision avoidance and safety manoeuvres with methods originating in, or based on inspiration from, optimisation have been proposed previously, see, e.g. [5–10].
Modelling and analysis of a gyrostat elastically attached to a vehicle
Published in Vehicle System Dynamics, 2018
Andreas Zwölfer, Günter Bischof
In order to introduce lateral dynamics in the investigation of the gyrostat-vehicle interaction, an ISO 3888 lane-change test is simulated with the fully charged KERS. This double lane-change manoeuvre, widely known as ‘moose test’, is commonly used to evaluate vehicle handling. It simulates the situation where an obstacle suddenly appears in the front of the car that forces the driver to swerve onto the opposite side of the road and then back to the original lane in order to avoid an accident. The standardised test track (three coned lanes with a total of 61 m) should be completed with the highest possible speed. The entry lane and the exit lane are 12 m long; the 11 m long side lane has a lateral offset of 3.5 m. The speed of entry is 80 km/h and the test is passed if no cones are overturned.