Veröffentlichungen des Fachgebiet Fahrzeugtechnik

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Feißel, Toni; Büchner, Florian; Kunze, Miles; Rost, Jonas; Ivanov, Valentin; Augsburg, Klaus; Hesse, David; Gramstat, Sebastian
Methodology for virtual prediction of vehicle-related particle emissions and their influence on ambient PM10 in an urban environment. - In: Atmosphere, ISSN 2073-4433, Bd. 13 (2022), 11, 1924, S. 1-14

As a result of rising environmental awareness, vehicle-related emissions such as particulate matter are subject to increasing criticism. The air pollution in urban areas is especially linked to health risks. The connection between vehicle-related particle emissions and ambient air quality is highly complex. Therefore, a methodology is presented to evaluate the influence of different vehicle-related sources such as exhaust particles, brake wear and tire and road wear particles (TRWP) on ambient particulate matter (PM). In a first step, particle measurements were conducted based on field trials with an instrumented vehicle to determine the main influence parameters for each emission source. Afterwards, a simplified approach for a qualitative prediction of vehicle-related particle emissions is derived. In a next step, a virtual inner-city scenario is set up. This includes a vehicle simulation environment for predicting the local emission hot spots as well as a computational fluid dynamics model (CFD) to account for particle dispersion in the environment. This methodology allows for the investigation of emissions pathways from the point of generation up to the point of their emission potential.



https://doi.org/10.3390/atmos13111924
Ivanov, Valentin; Marotta, Raffaele; Strano, Salvatore; Terzo, Mario; Tordela, Ciro
A PID-based active control of camber angles for vehicle ride comfort improvement. - In: Advances in Italian mechanism science, (2022), S. 397-404

In the automotive industry, one of the principal issues is to ensure the comfort of vehicles as much as possible. High vertical accelerations of the vehicle body transmit undesired vibration, causing malaise to passengers. Car vehicles are subjected to vibrations induced by the road roughness or, during a curve travelling, by the roll motion. These factors contribute to generating the total vertical acceleration. The vertical acceleration due to the first factor can be decreased by correctly dimensioning the stiffness and damping of the suspension. In this paper, the active control of the camber angle of the rear wheels is proposed to reduce the vertical acceleration due to the roll motion. The proposed technique has been applied to a validated vehicle model developed in the ADAMS Car environment. The trailing-arm type rear suspension has been modified to include actuators functional for the control system implementation. The tracking of the variable vehicle body roll angle by rear wheels is allowed exploiting two PID controllers to improve the contact of the tire with the road and, therefore, the ride comfort. Two manoeuvres called Sine Steer and Fish-hook have been employed to validate the designed controllers. The RMS and the maximum value of the vehicle body's vertical acceleration decrease, demonstrating the employability of the proposed control system to improve ride comfort.



Hesse, David; Feißel, Toni; Kunze, Miles; Bachmann, Eric; Bachmann, Thomas; Gramstat, Sebastian
Comparison of methods for sampling particulate emissions from tires under different test environments. - In: Atmosphere, ISSN 2073-4433, Bd. 13 (2022), 8, 1262, S. 1-17

Traffic-related emissions are strongly criticised by the public because they contribute to climate change and are classified as hazardous to health. Combustion engine emissions have been regulated by limit values for almost three decades. There is currently no legal limit for non-exhaust emissions, which include tire wear particle emissions and resuspension. As a result, the percentage of total vehicle emissions has risen continuously. Some of the particles emitted can be assigned to the size classes of particulate matter (≤10 µm) and are therefore of particular relevance to human health. The literature describes a wide range of concepts for sampling and measuring tire wear particle emissions. Because of the limited number of studies, the mechanisms involved in on-road tests and their influence on the particle formation process, particle transport and the measuring ability can only be described incompletely. The aim of this study is to compare test bench and on-road tests and to assess the influence of selected parameters. The first part describes the processes of particle injection and particle distribution. Based on this, novel concepts for sampling and measurement in the laboratory and in the field are presented. The functionality and the mechanisms acting in each test environment are evaluated on the basis of selected test scenarios. For example, emissions from external sources, the condition of the road surface and the influence of the driver are identified as influencing factors. These analyzes are used to illustrate the complexity and limited reproducibility of on-road measurements, which must be taken into account for future regulations.



https://doi.org/10.3390/atmos13081262
Kunze, Miles; Feißel, Toni; Ivanov, Valentin; Bachmann, Thomas; Hesse, David; Gramstat, Sebastian
Analysis of TRWP particle distribution in urban and suburban landscapes, connecting real road measurements with particle distribution simulation. - In: Atmosphere, ISSN 2073-4433, Bd. 13 (2022), 8, 1204, S. 1-17

This article deals with methods and measurements related to environmental pollution and analysis of particle distribution in urban and suburban landscapes. Therefore, an already-invented sampling method for tyre road wear particles (TRWP) was used to capture online emission factors from the road. The collected particles were analysed according to their size distribution, for use as an input for particle distribution simulations. The simulation model was a main traffic intersection, because of the high vehicle dynamic related to the high density of start-stop manoeuvres. To compare the simulation results (particle mass (PM) and particle number (PN)) with real-world emissions, measuring points were defined and analysed over a measuring time of 8 h during the day. Afterwards, the collected particles were analysed in terms of particle shape, appearance and chemical composition, to identify the distribution and their place of origin. As a result of the investigation, the appearance of the particles showed a good correlation to the vehicle dynamics, even though there were a lot of background influences, e.g., resuspension of dust. Air humidity also showed a great influence on the recorded particle measurements. In areas of high vehicle dynamics, such as heavy braking or accelerating, more tyre and brake particles could be found.



https://doi.org/10.3390/atmos13081204
Feißel, Toni; Hesse, David; Ricciardi, Vincenzo; Schiele, Martin; Augsburg, Klaus
Novel approaches for measuring and predicting particulate emissions from automotive brakes and tires. - In: 12th International Munich Chassis Symposium 2021, (2022), S. 708-728

Traffic-related emissions are strongly criticised by the public because they con-tribute to climate change and are classified as hazardous to health. Combustion engine emissions have been regulated by limit values for almost three decades. There is currently no legal limit for non-exhaust emissions, which include par-ticulate brake and tire wear and resuspension. As a result, the percentage of total vehicle emissions has risen continuously. Since some of the particles can be as-signed to the size classes of particulate matter (≤ 10 µm), these sources of par-ticulate matter are of particular relevance to human health. To predict the amount of particles emitted as a function of the driving situation or driving condition, a comprehensive database must be prepared and transferred to a prediction model. This makes it possible to simulate environmental pollution in multivalent traffic scenarios. At present, no approaches have been described in the literature by whose application the emission indicators can be effectively pre-dicted. Furthermore, the mechanisms of brake and tire particle formation are as-sociated with highly stochastic phenomena that cannot be captured by traditional deterministic modelling tools. Therefore, machine learning algorithms are used in the present work to identify branched correlations between tribological properties, pad composition and operating conditions. Different experimental methods are presented to determine brake and tire particle emission models. In addition, an approach is presented which reduces the amount of emitted parti-cles on the basis of a situation-dependent driving condition control, especially with regard to future semi-autonomous and autonomous mobility systems.



Hamatschek, Christopher; Hesse, David; Augsburg, Klaus; Gramstat, Sebastian; Stich, Anton
Comparison of the particle emission behaviour of automotive drum and disc brakes. - In: 12th International Munich Chassis Symposium 2021, (2022), S. 541-563

Friction brakes are one of the main sources of PM emissions from cars today. However, due to the electrification of the powertrain, the share of friction brakes in vehicle deceleration is continuously decreasing. Due to the reduced number of braking applications and the lower brake pressure level, the amount of emitted particles also decreases. This is associated with the disadvantage of an increased potential for the formation of rust on the surfaces of the friction materials, which is expected to influence friction and wear. Due to the increasing challenge posed by corroded friction partners, drum brakes are increasingly used to decelerate bat-tery electric (EV) and hybrid electric vehicles (HEV). In this study, basic investigations on the particle emission behaviour of drum brakes are carried out using an inertia dynamometer (LINK 3900-NVH). To en-sure representative sampling, a constant-volume sampling system is used, which is optimised in terms of transport efficiency and particle distribution. Condensa-tion particle counters (CPC) and filter holders (TX40) are used to determine PN/PM emission factors. CPCs with differently calibrated cut-off are used to evaluate the formation of nanoscale particle formations. In this context, special at-tention is paid to the influence of temperature on the particle formation process. From the comparison between rear-axle disc brake and rear-axle drum brake it could be proven that the predominant part of the wear mass remains within the drum, which affects the size distribution of the emitted particles. The ratio be-tween PM10 and PM2.5 mass-related emissions factors decreases from about 2 (disc brake) to about 1.3 (drum brake). In addition, the emission behaviour is dif-ferentiated via the bedding procedure of the drum brake. To achieve a reproduci-ble emission level, a doubling of the number of cycles (WLTP-brake cycle) is necessary. Due to a higher temperature level, nanoparticles could be detected dur-ing testing of the drum brake, whereby the number-related emission factor (PM2.5) was partly higher than for the disc brake.



Alfonso, Jesus; Rodriguez, Jose Manuel; Bernad, Carlos; Beliautsou, Viktar; Ivanov, Valentin; Castellanos, Jose Angel
Geographically distributed real-time co-simulation of electric vehicle. - In: 8th-2022 International Conference on Control, Decision and Information Technologies (CoDIT'22), (2022), S. 1002-1007

The present paper shows the capabilities of a distributed real-time co-simulation environment merging simulation models and testing facilities for developing and verifying electric vehicles. This environment has been developed in the framework of the XILforEV project and the presented case is focused on a ride control with a real suspension installed on a test bench in Spain, which uses real-time information from a complete vehicle model in Germany. Given the long distance between both sites, it has been necessary to develop a specific delay compensation algorithm. This algorithm is general enough to be used in other real-time co-simulation frameworks. In the present work, the system architecture including the communication compensation is described and successfully experimentally validated.



https://doi.org/10.1109/CoDIT55151.2022.9804062
Beliautsou, Aleksandra; Beliautsou, Viktar; Zimmermann, Armin
Colored Petri net modelling and evaluation of drone inspection methods for distribution networks. - In: Sensors, ISSN 1424-8220, Bd. 22 (2022), 9, 3418, S. 1-20

https://doi.org/10.3390/s22093418
Augsburg, Klaus; Hesse, David; Ricciardi, Vincenzo; Feißel, Toni
Methoden zur Messung und Prädiktion der Partikelemissionen von Bremse und Reifen. - In: [Hauptband], (2021), S. 185-204

Lehne, Christoph; Ivanov, Valentin; Augsburg, Klaus; Büchner, Florian; Schreiber, Viktor; Herman, Jernej; Pašič, Jure; Zavrl, Blaž
Distributed local X-in-the-loop environment - a tool for electric vehicle systems design. - In: Zenodo, (2021), insges. 6 S.

The paper describes methodology and corresponding environment for development, validation and testing of complex electric vehicle (EV) systems. The proposed approach is based on distribution of relevant design tasks between remotely working testing equipment with real-time (RT) data sharing and data exchange. The approach is demonstrated by the example of X-in-the-loop (XIL) environment uniting electric motor test setup, hardware-in-the-loop (HIL) platform with brake-by-wire system, and the brake dynamometer. The study introduces how this configuration of experimental tools can be used by designing the brake blending and control of an EV.



https://doi.org/10.5281/zenodo.4905931