Untersuchung und Optimierung des Einflusses von niedrig auflösenden Rotorlagegebern auf die Fahrbarkeitsfunktionen elektrifizierter Fahrzeugantriebssysteme mittels eines Hardware-in-the-Loop-Prüfstands

Koch, Andreas; Schulz, Ludwig; Jakstas, Gabrielius; Falkenstein, Jens

doi:10.1007/s10010-020-00399-x

Cited by 5 publications

(11 citation statements)

References 14 publications

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“…These systems are distinguished either as monolithic (single DUT) or distributed (multiple DUTs) [27, p. 78]. A requirement specification for fast communication between all corresponding interfaces leads to a change in data exchange from Ethernet (user datagram protocol or UDP) to EtherCAT or direct (analogue) linkage of components (see examples [51,65,66,96]).…”

Section: A a Summary Of X-in-the-loop Approaches To Datementioning

confidence: 99%

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

2023

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For the last two decades, an extensive transition in automotive X-in-the-loop activities from isolated electronic control units to real-time related, geographically distributed validation tasks has occurred. Benefits are strengthening frontloading, enabling concurrent engineering and reducing prototypes and testing efforts. As a downside, comprehensive system understanding and adequate simulation models must be provided. New technological trends like software-over-the-air-updates denote a continuous validation process even after the start of production. The present review focuses on the virtual validation of vehicle longitudinal dynamics. This exemplary field of application receives more and more attention as electrification of the vehicle powertrain accelerates, and this property directly influences the vehicle DNA. A systematic review process based on the PRISMA workflow has been conducted, focusing on drivabilityrelated powertrain applications. The investigation reveals the following trends: First, increasing complexity of virtualisation methods and models for validation activities influenced by vehicle-to-everything and geographically distributed development. Second, missing standards for virtual validation and proof of representativeness for combined real-virtual testing. In addition, many studies only contemplate the advantages of hardware-in-the-loop-driven development, disregarding crucial limitations and risks for such approaches. In conclusion, there is no longer the question of whether to validate virtually but how to comprehensible realise virtual validation.

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Section: A a Summary Of X-in-the-loop Approaches To Datementioning

confidence: 99%

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

2023

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“…The test bench load machine applies the resulting torque, calculated from the simulation of the vehicle wheel with the tire-road contact and the driving resistance forces from the vehicle longitudinal dynamics (gradient, rolling, and air resistance forces), against the test bench drive machine. A suitable HiL simulation model is used for this purpose, which is described in detail in [15,16]. The reacting torques are determined by the HiL simulation model and the angular velocity at the vehicle wheel hub is reproduced by the test bench load machine.…”

Section: Test Environmentmentioning

confidence: 99%

“…Furthermore, automotive-typical sensors such as ABS speed sensors are integrated. In [15,16,20] is demonstrated that the natural frequency of the HiL test bench together with the HiL simulation model is approximately 8 Hz and the oscillation behavior corresponds to a real electrified vehicle drive system.…”

Section: Test Environmentmentioning

confidence: 99%

“…In addition to first-and second-order low-pass filters, gradient limitation is a common approach to reduce oscillations of the drivetrain by dynamic changes of the driver′s desired torque 𝑀 DrD [1,13]. In [15,16,20] is demonstrated that the natural frequency of the HiL test bench together with the HiL simulation model is approximately 8 Hz and the oscillation behavior corresponds to a real electrified vehicle drive system.…”

Section: Functionality Of the Reference Filtermentioning

confidence: 99%

“…In principle, it is possible to compensate the right term in Equation ( 5) at least partially, for example by a dependence of the air gap torque M DrM (s) on the measured angular acceleration of the wheel hub s 2 ϕ WH (s). Especially at low angular velocity of the wheel hub the measurement of the angular acceleration s 2 ϕ WH (s) is quite difficult [2,16,25]. The main reason for this is the typical encoder resolution of the ABS speed sensors of present vehicles.…”

Section: Prefilter Designmentioning

confidence: 99%

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Drivability Optimization by Reducing Oscillation of Electric Vehicle Drivetrains

Koch

Schulz

Jakstas

et al. 2020

WEVJ

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The drivetrain of electric vehicles differs significantly from vehicles with combustion engines. Current concepts of electric vehicle drivetrains usually have a low damping. Typically, there is no clutch to separate the inertial mass of the electric drive machine from the rest of the vehicle drivetrain. External (road unevenness, potholes, etc.) and internal excitation (torque changes of the electric machine, brake interferences, etc.) cause jerk oscillation and sometimes high component stress. These excitations can be reduced by suitable drivability functions, to which a reference filter can also be assigned. A common approach known from conventional drivetrains is to limit the gradient of the demand torque of the drive machine or the driver′s desired torque in order to influence the torque build-up of the drive machine and to reduce the excitation of jerk oscillations. A second approach is the use of a prefilter. The prefilter uses the inverse dynamics of the drivetrain to influence the demand torque of the drive machine. In this paper, the influence of a prefilter based on the inverse dynamics of electric vehicle drivetrains to reduce oscillations is investigated. In addition, an anti-jerk control enhances the drivability function afterwards. All investigations are made on a hardware-in-the-loop test bench to create reproducible results.

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Untersuchung des Einflusses von unterschiedlichen Fahrbahnzuständen auf die Fahrbarkeitsfunktionen elektrifizierter Fahrzeugantriebssysteme mittels eines Hardware-in-the-Loop-Prüfstands

Jakstas

Koch

Falkenstein

2022

Forsch Ingenieurwes

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ZusammenfassungDer Antriebsstrang von Elektrofahrzeugen unterscheidet sich deutlich von Fahrzeugen mit Verbrennungsmotor. Aktuelle Konzepte im Bereich der elektrischen Fahrzeugantriebsstränge weisen aufgrund der einfachen Triebstrangmechanik meist eine geringe Reibung und damit wenig Dämpfung auf. Typischerweise gibt es keine Kupplung, um die träge Masse der elektrischen Antriebsmaschine vom restlichen Fahrzeugantriebsstrang zu trennen. Äußere (Fahrbahnunebenheiten, Schlaglöcher, etc.) und innere Anregungen (Drehmomentänderungen der elektrischen Maschine, Bremseingriffe) führen zu Dreh- bzw. Ruckelschwingungen und teilweise hohen Bauteilbelastungen. Diese können durch geeignete Fahrbarkeitsfunktionen reduziert werden. Ein gängiger, aus konventionellen Antriebssträngen bekannter Ansatz besteht in der Begrenzung der Steigung und weiteren Modifikationen des Solldrehmomentes bzw. des Fahrerwunschmoments, um den Drehmomentaufbau der Antriebsmaschine zu beeinflussen und die Anregung von Ruckelschwingungen zu reduzieren. Ein zweiter Ansatz ist die Verwendung eines Vorfilters. Das hier genutzte Vorfilter basiert auf der inversen Dynamik des Antriebsstrangs, um das Sollmoment der Antriebsmaschine zu beeinflussen, vernachlässigt jedoch die Einflüsse des Reifens, des Reifen-Fahrbahnkontakts und der Fahrzeuglängsdynamik. Dies hat den Vorteil, dass Beobachter und Schätzverfahren zur Bestimmung des Reifen-Fahrbahn-Kontaktes usw. nicht erforderlich sind. Jedoch muss die Wirksamkeit des Ansatzes bei unterschiedlichen Fahrbahnbeschaffenheiten sichergestellt sein. Ergänzt wird das Vorfilter durch eine aktive Anti-Ruckel-Regelung.In diesem Artikel wird der Einfluss von variierenden Fahrbahnzuständen auf die Wirksamkeit des hier angewandten Vorfilters realitätsnah untersucht. Diese Untersuchungen sind notwendig, um eine sicherere Aussage über die Funktionalität der entwickelten Steuerungsalgorithmen in realen Fahrzeugen bei unterschiedlichen Fahrbahnzuständen treffen zu können. Vergleichbare reale oder realitätsnahe Untersuchungen sind bisher nur begrenzt verfügbar. Für realitätsnahe Fahrzeugbedingungen werden Fahrmanöver auf einem Hardware-in-the-Loop-Prüfstand durchgeführt.

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Untersuchung und Optimierung des Einflusses von niedrig auflösenden Rotorlagegebern auf die Fahrbarkeitsfunktionen elektrifizierter Fahrzeugantriebssysteme mittels eines Hardware-in-the-Loop-Prüfstands

Cited by 5 publications

References 14 publications

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

Drivability Optimization by Reducing Oscillation of Electric Vehicle Drivetrains

Untersuchung des Einflusses von unterschiedlichen Fahrbahnzuständen auf die Fahrbarkeitsfunktionen elektrifizierter Fahrzeugantriebssysteme mittels eines Hardware-in-the-Loop-Prüfstands

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