This application is the U.S. National Phase of PCT Appln. No. PCT/DE2019/100326 filed Apr. 9, 2019, which claims priority to DE 102018111150.9 filed May 9, 2018, the entire disclosures of which are incorporated by reference herein.
The disclosure relates to a method for determining the drive train sensitivity of a drive train of a motor vehicle.
It is known from DE 196 28 789 A1 for a drive train of a motor vehicle, with a vehicle body placed in longitudinal oscillations in the direction of travel, that the longitudinal speeds of the vehicle body to be determined here and the resulting angular velocities of a transmission input shaft of a transmission of the motor vehicle are parameters for a drive train sensitivity. DE 10 2016 124 732 A1 discloses a method for evaluating measurement data of a speed oscillation of an engine. DE 10 2007 008 613 A1 discloses a method according to which the rotational speed is measured at at least two different points in the drive train, wherein the measured speeds are fed to an evaluation circuit which leads to speed differences between the two measured speeds in the event of jerking oscillations occurring between the two points, and determines a clean, jerking oscillation-free speed and/or a jerking oscillation information value.
WO 2015/158341 A2 discloses a method for parameterizing a software mass damper for damping juddering oscillations in the drive train of a motor vehicle.
The drive train sensitivity of a drive train of a motor vehicle is relevant to the susceptibility to judder of a friction clutch arranged in the drive train between an internal combustion engine and a transmission. The drive train sensitivity is currently estimated using a large number of vehicle sensors or individually by test persons. Corresponding simulation models of the drive train, with which the drive train sensitivity of a given motor vehicle could be determined, have been used in recent years to determine the drive train sensitivity. However, a disadvantage of this procedure is that if there is no or only insufficient data, the parameter identification for the simulation model is associated with relatively high expenditures.
It is desirable to propose a simple and objective method for determining the drive train sensitivity.
The proposed method is used to determine the drive train sensitivity of a drive train of a motor vehicle. To simplify and objectify the determination of the drive train sensitivity, a vehicle body of the motor vehicle with the drive train to be tested is placed in longitudinal oscillations in the direction of travel, and a parameter for the drive train sensitivity is determined depending on the longitudinal accelerations of the vehicle body and the resultant angular accelerations of a transmission input shaft of a transmission of the motor vehicle.
An estimate of a susceptibility to judder of a friction clutch arranged between an internal combustion engine and the transmission can be determined by means of the parameter. The parameter can be determined from the frequency dependence of the frequency of the longitudinal oscillations. For example, a linear oscillator with a predetermined eccentric mass is connected to the vehicle body to generate the longitudinal oscillations. The parameter can be determined depending on the eccentric mass. Detected angular acceleration signals of the angular acceleration can be treated using at least one order sorting filter. The parameter can be determined depending on a selected gear in the transmission. The parameter can be validated using a predetermined coherence. A frequency sweep of the longitudinal oscillations can advantageously be carried out over a predetermined number of identical oscillation periods. The longitudinal oscillations can be specified with force excitation constant over the frequency. Harmonic or non-harmonic oscillations, noise or the like can be provided to excite the longitudinal oscillations. Since the acceleration of the vehicle body and the relevant forces are decisive for determining the drive train sensitivity, the mass of the longitudinal oscillator can be variably specified to generate the corresponding forces.
In other words, the drive train sensitivity can be provided for estimating the susceptibility to judder of a motor vehicle or a drive train of a motor vehicle. According to equation 1, the drive train sensitivity SFzg denotes the transmission behavior between the torque modulation Mexc,Cl of a slipping friction clutch and an acceleration amplitude aFzg of the motor vehicle that results or can be felt by the driver:
A direct determination of the drive train sensitivity according to equation 1 usually fails because measuring the acting torque modulation on the friction clutch or providing a targeted, constant and known clutch excitation (normal judder) is not practicable or involves considerable effort.
The following procedure is therefore proposed:
For a mechanical system, the system behavior can be completely described by the following equation of motion:
M·{umlaut over ({right arrow over (x)})}(t)+D·{dot over ({right arrow over (x)})}(t)+K·{right arrow over (x)}(t)={right arrow over (F)}(t) Eqn. 2
In the case of drive train sensitivity, the question arises—in the context of the equation of motion—of how a system will react to a given force/torque excitation. Considering only periodic excitations, the equation of motion of equation 2 can be changed by the solution to equation 3
{right arrow over (x)}(t)={circumflex over ({right arrow over (x)})}·ejΩt Eqn. 3
to the equation of motion of equation 4:
As can be seen from this equation, the transmission behavior of the system at a given excitation frequency can be clearly described using the frequency response matrix G(Ω). Due to the symmetry properties of the underlying system matrices, the frequency response matrix itself is symmetrical. Therefore, according to equation 5:
This basic symmetrical property of a mechanical system according to equation 5 can be used to implement the proposed method for determining the drive train sensitivity. A model with two masses that are elastically coupled to one another is to be assumed, wherein one of the masses is elastically coupled to a very large mass or to the housing. Using equation 5, this model gives the following results from equation 6
If this model is excited with a force, two configurations result according to equation 7:
As can easily be seen from this example, the same transfer function G1,2 can be determined in two different ways. In the first case by excitation of the first mass and observation of the second mass and in the second case by excitation of the second mass and observation of the first mass. Correspondingly, when the friction clutch is excited with a longitudinal acceleration of the vehicle that feels uncomfortable to the driver, the desired transfer function can be determined in the opposite manner by excitation of the longitudinal acceleration of the motor vehicle and observation of the torsional transmission input acceleration.
For this purpose, a longitudinal accelerator, for example an imbalance, a linear motor, an air pressure-operated knocker or the like is rigidly attached to the vehicle body, for example to a seat holder or the like. For example, two counter-rotating eccentric masses can be provided as force excitation. The maximum force is set by different eccentric dimensions and a speed limit. This means that a defined power excitation with a preferably moving vehicle and a measurement of the torsional transmission input acceleration by numerically deriving the measured speed curve allows the desired transfer function to be determined directly at the corresponding operating point of the friction clutch with little experimental effort and a limited number of sensors.
The method is explained in more detail with reference to the exemplary embodiment shown in
A massive increase in force excitation can lead to falsifications of the transfer function due to non-linear stiffness. To enable a uniform, slow speed ramp and thus a quasi-static evaluation of the frequencies, two DC motors can be adapted as drives to the two axes of rotation d1, d2 (
The partial diagram II uses the curves 28, 29 to show the coherence of the curves 25, 26 over the frequency. The coherence is to be understood as a measure of the degree of linear dependency of the input to the output signal and is defined in the value range from zero to one. A coherence of one means that there is a complete linear dependency between input and output signals. Coherence is therefore a suitable measure for assessing whether the measured signals are suitable for identifying the system behavior of a linear time-invariant system with the aid of linear system theory. For practical use, a coherence of >0.75 is sufficient to be able to determine a reliable transfer function from the measured signals. The reasons for a coherence deviating from one are generally:
non-linear system behavior,
influence on the output signal by other signals that do not correlate with the input signal,
uncorrelated noise of the input/output signal,
leak effects due to insufficient frequency resolution.
The curve 29 therefore shows the clearly improved coherence of a signal curve of the angular acceleration with application of order sorting filters compared to the signal behavior shown in the curve 28 without an order sorting filter.
The partial diagram II shows the sensitivities of the drive train with a second gear engaged with the curve 35 with a mass of 1.2 kg, with the curve 36 with a mass of 0.45 kg and the curve 37 with a simulation.
The partial diagram III shows the drive train with a reverse gear engaged. The curve 38 shows the sensitivity with a mass of 1.2 kg, the curve 39 with a mass of 0.45 kg, the curve 40 with a mass of 0.3 kg and the curve 41 with a simulation.
The respective deviations from the simulations of the measured sensitivities, for example at 15 Hz, are due to the excessive or non-constant force amplitudes.
Furthermore, constant force excitation is proposed, which contributes to an improvement in the transfer function. The reason for this is that in the case of constant excitation, the non-linearities of stiffnesses and non-linearities of damping have less influence on the transfer function. All of the measurement improvements mentioned here are possible with a linear oscillator with constant force excitation and a freely configurable frequency response.
Number | Date | Country | Kind |
---|---|---|---|
10 2018 111 150.9 | May 2018 | DE | national |
Filing Document | Filing Date | Country | Kind |
---|---|---|---|
PCT/DE2019/100326 | 4/9/2019 | WO |
Publishing Document | Publishing Date | Country | Kind |
---|---|---|---|
WO2019/214767 | 11/14/2019 | WO | A |
Number | Name | Date | Kind |
---|---|---|---|
4283031 | Finch | Aug 1981 | A |
7487679 | Sirrine | Feb 2009 | B2 |
20040112707 | Watt | Jun 2004 | A1 |
20070214906 | Fahland | Sep 2007 | A1 |
20090001974 | Sheiretov | Jan 2009 | A1 |
20180162223 | Alfredson | Jun 2018 | A1 |
Number | Date | Country |
---|---|---|
1113194 | Dec 1995 | CN |
101644629 | Feb 2010 | CN |
105074250 | Nov 2015 | CN |
106233031 | Dec 2016 | CN |
19628789 | Jan 1998 | DE |
102007008613 | Aug 2008 | DE |
102010007735 | Aug 2011 | DE |
102012217132 | Apr 2013 | DE |
102013204698 | Oct 2013 | DE |
102014206183 | Oct 2014 | DE |
102014213514 | Jan 2016 | DE |
102014222457 | May 2016 | DE |
102016124732 | May 2017 | DE |
1122531 | Aug 2001 | EP |
2015158341 | Oct 2015 | WO |
Number | Date | Country | |
---|---|---|---|
20210229669 A1 | Jul 2021 | US |