• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    The invention relates to a method for generating an analysis data set, a method for optimizing a motor controller and a method for operating an arrangement of a test bench with a test object, wherein the analysis data set for optimizing the engine control of an internal combustion engine on a test bench, taking into account in practical or virtual operation engine or emissions data, comprising the steps of: creating or providing a candidate RDE record, determining or setting weighting factors to underweight or hide RDE data emission data collected under DUT operating conditions, which is from deviating from predefined operating conditions of the test object, and forming the analysis data set by weighting the emission data with the weighting factors and by assigning the weighted emission data to corresponding value pairings speed and torque of the RDE dataset.
    公开号:AT518677A1
    申请号:T50484/2016
    申请日:2016-05-30
    公开日:2017-12-15
    发明作者:Ing Dipl (Fh) Stefan Strick；Ing Stefan Krapf Dipl；Roland Wanker Dr
    申请人:Avl List Gmbh；
    IPC主号:
    专利说明:

    Method for creating an analysis data set
    The invention relates to a method according to the preambles of the independent claims. In particular, the invention relates to a method for generating an analysis data set, wherein the analysis data set for optimizing the engine control of an internal combustion engine is suitable or set up on a test bench taking into account recorded in practical or virtual operation engine and emission data. Furthermore, the invention optionally relates to a method in which a plurality of RDE data sets ("RDE" in the present disclosure for "Real Driving Emissions") are combined into a single analysis data set. Optionally, the invention relates to a method for optimizing the engine control of a motor vehicle driven by an internal combustion engine, wherein an analysis data set is suitable for deriving target specifications for engine development on the engine test bench. In particular, the invention relates to a method for operating a test stand taking into account an analysis data set and / or the target values for engine optimization raised from the analysis data record.
    According to the prior art, different methods for analyzing the emission data of internal combustion engines are known. Due to legislative requirements, so-called RDE data must also be taken into account in the design and development of internal combustion engines. RDE data, ie data on "Real Driving Emissions", are data of a test object that is usually recorded in practical operation. Such data can be recorded, for example, during a test drive of a motor vehicle with an onboard measuring device. Alternatively, however, RDE data can also be created or recorded during a virtual test drive in a virtual simulation environment. In particular, it is the state of the art to supply the data of practical (real) operation to a computer-aided simulation model in order to be able to carry out virtual test runs.
    In such a practical or virtual test drive, according to the prior art, an RDE data record is generated which contains data recorded over time, such as, for example, torque and / or speed; Emission data such as CO 2 emissions, NO x emissions, HC emissions, CO emissions and / or particulate emissions; and / or further data on engine speed and / or GPS data. In reality, the data collected during a practical test drive is heavily dependent on the operating conditions of the test drive. So in addition to environmental conditions such as air pressure, temperature and humidity and the personal driving profile of the test driver and geographic conditions, traffic, etc., have a major impact on the measurement results. However, in order to obtain comparable RDE measurement results for different test runs, various methods are known in which measuring points or measuring phases are underweighted or eliminated that were recorded under operating conditions of the test object that deviate from predefined standard operating conditions. Thus, for example, measuring phases with too high or too low a load, in particular also measuring phases with too aggressive or degressive driving behavior are underweighted or hidden.
    Legislation, for example, defined a weighting procedure under Commission Regulation (EU) 2016/427 of 10 March 2016 amending Regulation No 629/2008 as regards the emission of light passenger cars and vans (Euro 6). Another example of a weighting procedure is Regulation (EU) No 582/2011 of 25 May 2011 establishing and amending Regulation (EU) No 595/2009 of the European Parliament and of the Council with regard to emissions from heavy duty vehicles (Euro 6 ) and amending Annexes I. and III. Directive 2007/46 / EC of the European Parliament and of the Council.
    Weighting results are data points on C02 emissions in grams per kilometer over speed in kilometers per hour. For further analysis, speed ranges are defined for these data points, which are assigned to a city trip, a cross-country trip and a highway trip. A disadvantage of this method is that as a result, although an analysis of the emissions according to the legal requirements can be carried out. However, the data obtained does not provide any direct information on how to modify a motor so that it complies with legal requirements and limit values.
    Engine development usually takes place on engine test benches, where different load points or driving cycles of the engine can be traversed. In practice, however, it has been found that in reality
    Emissions may deviate significantly from the emissions measured at the test bench. The reason for this is, for example, unexpected real operating conditions of the vehicle, which are caused for example by automated transmissions or by switching consumers but also conventional operating conditions, which are overweighted by legally prescribed weighting procedures.
    In practice, engine developers are faced with the problem that the RDE data indicate which total emission values of a test drive exceed admissible limit values - but in the absence of an analysis possibility of the "Real Driving Emissions" no direct information can be derived as to which measures the RDE is taking Results can be improved.
    The object of the invention is now to overcome the disadvantages of the prior art. In particular, it is an object of the invention to provide a method for creating an analysis data set, wherein the analysis data set for optimizing the engine control of an internal combustion engine on a test bench is suitable or set up taking into account recorded in practical or virtual operation engine and emission data.
    The invention is solved in particular by the features of the independent patent claims.
    Preferably, the invention relates to a method for generating an analysis data set, wherein the analysis data set is suitable or adapted for optimizing the engine control of an internal combustion engine on a test bench taking into account recorded in practical or virtual operation engine and emission data, comprising the following steps.
    The method preferably comprises the following steps: producing or providing an RDE data record of a test object, the test object being, in particular, a motor vehicle with an internal combustion engine, and wherein the RDE data record in the practical or virtual operation of the test object records torque over time, Speed and speed, emission data of C02 emissions, as well as emission data for at least one further exhaust gas constituent, such as NO, NOx, HC, CO and / or particulates, - Determination or determination of weighting factors to underweight or exclude emission data of the RDE dataset included in Operating conditions of the device under test which deviate from predefined operating conditions of the device under test, and - forming the analysis data set by weighting the emission data with the weighting factors and by assigning the weighted emission data to corresponding value pairings of the RDE data set, preferably value paa speed and torque of the RDE data set.
    Optionally, it is provided that the formation of the analysis data set comprises the following steps: calculating or setting a weighting factor of a first data window of the RDE data set, identifying the speed value and the torque value for each RDE measurement point of the RDE data set in the first data window, multiplying the Emission value or the emission values of the RDE measurement points of the first data window with the weighting factor of the first data window, - assigning the weighted emission values of all RDE measurement points of the first data window to the corresponding value pairing of speed value and torque value of the RDE measurement points, - calculating or determining the weighting factors of others Data window, - identify the RPM values and the torque values for each RDE measurement point of the RDE data set of the other data windows, - multiply the emission values of the RDE measurement points by the respective weighting factors of the other data windows, - add the weighted emission values of all measurement points of all further data windows for the corresponding value pairings of rotational speed value and torque value of the measurement points of all data windows, and cumulating all weighted emission values of an exhaust gas component assigned to a pairing of values or separately accumulating all weighted emission values of different exhaust gas components assigned to a pairing of values.
    Where appropriate, it is envisaged that the determination of the weighting factors and / or the weighting of the emission data will be based on the Moving Average Window (MAW) procedure set out in Commission Regulation (EU) 2016/427 of 10 March 2016 amending Regulation 629/2008 with regard to emissions from light passenger cars and commercial vehicles (EURO 6) ".
    Where appropriate, it is envisaged that the weighting of the emission data comprises the following steps: providing a WLTP data set in accordance with "UNECE Global Technical Regulation No. 15 - worldwide harmonized light vehicle test procedure (ECE / TRANS / 180 / Add.15)" of the test specimen; WLTP data set at different speeds associated C02 emission values, - calculating a first MAW data point at time i of the RDE record - by cumulating the C02 emissions of the RDE record in a first data window, wherein the first data window from time i of the RDE Data record until a time i + t1, wherein the time duration t1 of the first data window corresponds to the time duration in which the RDE data record, starting from time i, represents half of the total emitted CO2 mass of the WLTP data record, - and preferably by dividing the cumulative C02 emissions obtained by the in the first data window gem as well as by determining the average speed in the first data window.
    If appropriate, it is provided that the weighting of the emission data comprises the following steps:
    Calculating a further MAW data point at the time i + x of the RDE data record, by cumulating the C02 emissions of the RDE data record in a further data window, the further data window extending from the time i + x of the RDE data record to a point in time i + x + tx extends, the time duration tx of the further data window corresponding to the time duration in which the RDE data record, starting from the instant i + x, represents half of the total emitted CO2 mass of the WLTP data record, and preferably by Dividing the accumulated C02 emissions obtained by the distance traveled in the data window according to the RDE data set, and determining the average speed in the further data window.
    If appropriate, it is provided that the weighting of the emission data comprises the following steps:
    Calculate further MAW data points at the times i + x of the RDE data set - by cumulating the C02 emissions of the RDE data set in further data windows, wherein the further data windows from the times i + x of the RDE data set to times i + x + tx, wherein the time duration tx of the further data window corresponds to the time durations in which the RDE data record each time half of the total emitted CO2 mass of the WLTP data record starts from the time i + x, and preferably by dividing the accumulated C02 emissions obtained by the distances traveled in the data windows in accordance with the RDE data set, - and by determining the average speeds in the other data windows.
    Optionally, it is provided that the values x are integer second values from 1 to y, where y corresponds to the start of the last data window, which corresponds in particular to the end of the measurement minus the time duration of the last data window, and the time i preferably Time 0 is at the beginning of the measurement.
    Where appropriate, it is envisaged that the determination of the weighting factors would include the following steps: Provision of a WLTP data line of the device under "UNECE Global Technical Regulation No. 15 - worldwide harmonized light vehicle test procedure (ECE / TRANS / 180 / Add.15)" WLTP data line comprises C02 data over the average speed, and determining a weighting factor for each data window depending on the C02 difference of the respective MAW data point of the considered data window to the WLTP data line at the corresponding speed of the MAW data point of the considered data window, in particular the Moving Average Window (MAW) procedure under Commission Regulation (EU) 2016/427 of 10 March 2016 amending Regulation No 629/2008 as regards emissions from light passenger cars and commercial vehicles (EURO 6).
    Optionally, the method comprises the steps of: creating or providing multiple RDE records, exporting the method of any one of the preceding claims for all RDE records, forming a single analysis data set by assigning the emission data of all weighted RDE records to the corresponding value pairings Speed and torque.
    If necessary, it is provided that the RDE data sets are: - RDE data of different vehicles with identical engines, - RDE data of identical vehicles with identical engines, - RDE data of several virtual or practical test drives, - RDE data of several virtual or practical test drives different Vehicles with identical engines, or - RDE data of different vehicles of a vehicle fleet.
    Optionally, the invention relates to a method for optimizing engine control of an internal combustion engine-powered motor vehicle on a test bench, taking into account engine and emission data recorded in practical or virtual operation using an analysis data set.
    Optionally, it is provided that targets for engine development are derived from the emission data of the analysis data set on the engine test bench and / or that targets for engine development on the engine test bench are derived directly from the emission data of the analysis data set in an automated statistical design.
    Optionally, the invention relates to a method for operating an arrangement of a test stand with a test specimen, wherein the arrangement is preferably designed as an engine test bench with a connected engine, as a powertrain test stand with a connected powertrain or as a dynamometer with a connected vehicle, the control of the test bench operation by targets carried out according to the inventive method.
    Preferably, a weighting of the RDE data occurs during the creation of the analysis data set. This weighting shall be carried out in accordance, in particular, with the legislative provisions prevailing in the respective country or within the respective scope of this patent. Alternatively or additionally, however, the weighting of the data of the RDE data set may also originate from specifications of engine development or engine optimization. Thus, it may be advantageous to underweight, for example, those emission data of the RDE data set which were recorded in highly dynamic operating states. Furthermore, for example, those emission data of the RDE data record that were recorded in static or quasi-static operating states can be overweighted.
    An example of a legislative weighting procedure is Regulation (EU) 2016/427 of the European Commission of 10 March 2016 amending Regulation No 629/2008 as regards the emission of light passenger cars and vans (Euro 6). Another example of a good practice would be Regulation (EU) No 582/2011 of 25 May 2011 establishing and amending Regulation (EU) No 595/2009 of the European Parliament and of the Council with regard to emissions from heavy duty vehicles (Euro 6) and amending Annexes I. and III. Directive 2007/46 / EC of the European Parliament and of the Council.
    The weighting of the emission data is of particular importance if, for the purpose of assessing the emissions of a vehicle, the exhaust gas constituents determined during a measurement run are first weighted and then cumulated, ie added up. In the known Moving Average Window (MAW) method according to EU Regulation 2016/427, there is a particular increase in the weighting of emission values, since by the MAW method individual RDE measurement points of the RDE data set with different weighting factors several times into the cumulative total balance.
    Due to this distortion of the measurement results, the legally prescribed evaluation procedures must also be taken into account during engine development.
    Preferably, in accordance with the present invention, an RDE record is created or provided. This RDE record may be, for example, a record of a real test run taken with an onboard meter. Optionally, the RDE data set can also be created by a virtual operation of a test object, in particular during a virtual test drive in a computer-generated simulation environment. Furthermore, the RDE record can be created on a chassis dynamometer.
    The RDE data set preferably comprises at least data on torque, speed and rotational speed as well as emission data of the C02 emissions of the test object. Furthermore, the RDE data set comprises emission data for at least one further exhaust gas constituent, such as, for example, NO, NOx, HC, CO and / or particles. The measured values of the RDE data set can be present in all embodiments in the form of RDE measurement points. These RDE measuring points can be determined, for example, by the measuring frequency of the measuring devices. For example, the resolution of the RDE data set, and in particular the temporal measurement frequency of the RDE measurement points can be about 1 Hz.
    Furthermore, as already described, weighting factors for weighting the emission data of the RDE data set are determined or determined. In particular, these weighting factors may underweight those operating conditions of the device under test which deviate from predefined operating conditions of the device under test. For example, static and / or dynamic operating conditions may be underweighted or even hidden.
    In order to analyze the RDE data and to optimize the engine control of an internal combustion engine, the data must subsequently be transformed taking into account the weighting. This is done in particular by assigning the weighted emission data to corresponding value pairings of rotational speed and torque of the RDE data set. Thus, each RDE measurement point includes different data, which relate in particular to the torque, the speed, the engine speed, the C02 emissions and further emission data for at least one further exhaust gas component.
    Preferably, to form the analysis data set, the RDE data set is divided into different data windows, wherein the data windows can be arranged overlapping one another, whereby it may not be excluded that an RDE measurement point is contained in different data windows. For each data window, a weighting factor can now be determined or determined.
    For each measuring point, a speed-torque combination is preferably identified. This speed-torque combination of an RDE measurement point of the RDE data set is now assigned the weighted emission data of different exhaust gas components separately. Preferably, the weighted emission data are allocated and cumulated, that is summed up.
    Preferably, all RDE measurement points of the first data window are analyzed and assigned to the corresponding speed-torque combinations. The emission values of these RDE measurement points are multiplied by the weighting factor of the corresponding data window and assigned to the corresponding value pairing of rotational speed and torque. In particular, all weighted emission values assigned to a pairing of values are cumulated and thus added up.
    In a next step, the same steps are preferably performed for the second data window, so that the emission values of the RDE measurement points of the second data window are multiplied by the weighting factor of the second data window, wherein the weighting factor of the second data window may differ from the weighting factor of the first data window.
    The length of the data window can also vary, as described for example in the MAW method according to EU Regulation 2016/427.
    By the method according to the invention, in particular, an analysis data set is formed, from which a characteristic map for emissions via torque and rotational speed can be derived directly. This map or this analytical data set can be used directly for the derivation of targets for engine development on an engine test bench. In particular, the analysis data set can be used directly for the derivation of targets for engine development on the engine test bench in an automated statistical design. This makes it possible to take into account engineered RDE data, in particular using automated static design, RDE data and, in particular, according to the relevant legislation weighted RDE data.
    According to a further advantageous embodiment of the invention, a plurality of RDE data sets can be provided or created, which are combined according to the inventive method into a single analysis data set. As a result, for example, motors can be optimized, which are used in different vehicles. The emission data of the different RDE data sets are summed up in this embodiment of the method in a single analysis data set.
    In a further consequence, the invention will be further described with reference to a non-restrictive exemplary embodiment shown in exemplary figures. Show:
    1 is a graphical representation of exemplary data of a RDE record,
    FIG. 2 shows a schematic representation of exemplary data of the MAW data points, as are formed, for example, in the MAW method, and FIG
    FIG. 3 shows an exemplary graphical representation of a characteristic diagram, as it can be derived from an analysis data record according to the invention.
    The invention will be described below on the basis of a weighting according to the MAW method, wherein it should be noted that the invention results in particular from the features of the claims and is not limited to the MAW method.
    1 shows an exemplary graphical representation of an RDE data set in which (from top to bottom) values for O 2, CO 2, NO, velocity, total exhaust gas mass and torque determined over time are shown. When creating the RDE dataset, in all embodiments some of the necessary values for the RDE dataset can be directly or indirectly included. For example, the speed can also be indirectly determined via the engine speed and the transmission ratio or via GPS data.
    According to MAW procedures, several data windows are defined. The first data window starts at time 1 (t = 0) in the present embodiment and ends at time 5 (t = 0 + t1). The duration t1 of the first data window corresponds to the time duration at which, in the present RDE data record, starting from time 1, half of the total emitted CO 2 mass of a WLTP data record occurs for the test object. The WLTP dataset is a characteristic data set for the corresponding vehicle, which in particular is described in accordance with "UNECE Global Technical Regulations no. 15 - Worldwide Harmonized Light Vehicles Test Procedure (ECE / TRAN / 180 / Add.15) ". To determine the length of time of the first
    Data window is determined half of the total emitted C02 mass of the WLTP procedure, and compared with the C02 mass of the RDE data set. The C02 emissions are integrated or accumulated to determine the duration t1 until half the value of the WLTP data set is reached. As a result, the end time 5 of the first data window is determined.
    Subsequently, after a specified time after time 0, for example after one second, a second time 2 is determined at which a second data window has its starting point. From this point on, the C02 data is again cumulated until half of the total emitted C02 emissions from the WLTP record occurs. This determines the end point 6 of the second data window. In the same way, the third data window with the starting point 3 and the end point 7 and the fourth data window with the starting point 4 and the end point 8 are determined. This procedure is applied to the entire RDE dataset, which usually defines more data windows. For each data window, the mean velocity and the average CO 2 emission are determined in grams per kilometer. Each of the data windows thus gives a point in the diagram of Fig. 2. The dotted line 14 is thus composed of the values of all data windows of the method described above.
    In addition, FIG. 2 shows the specimen WLTP data line 9 corresponding to those CO 2 emissions in grams per kilometer versus the speed experienced by the WLTP. Starting from this data line 9, auxiliary lines 10, 11, 12 and 13 are drawn which represent a percentage increase or decrease in the CO 2 values for a speed corresponding to this CO 2 value. Values that lie within lines 10 and 11 are defined as normal operating mode and flow into the analysis unchanged. Values between lines 10 and 12 and between lines 11 and 13 are defined as "soft" or "aggressive" and underweighted in further analysis. Values that lie outside the range between lines 12 and 13 are hidden in the further analysis and thus not taken into account.
    The weighting factor thus results essentially from the vertical distance of the MAW data point from the WLTP data line 9, ie from the CO 2 difference of the respective MAW data point of the data window under consideration and the WLPT
    Data line at the corresponding speed of the MAW data point of the considered data window.
    The following method is then used to form the analysis data set or for the graphical representation according to FIG. 3: For the first RDE measurement point of the first data window, the rotational speed value and the torque value of this measurement point are identified. Furthermore, the emission value of this RDE measurement point (for example, the NO value) is multiplied by the weighting factor of the first measurement window and subsequently assigned to the corresponding value pairing of speed value and torque value. Subsequently, the same step is performed with the second RDE measurement point and all other RDE measurement points of the first data window. In this case, all weighted emission values of an exhaust gas component assigned to a pairing of values are cumulated and thereby added up. In particular, different exhaust gas components or their weighted emission values are assigned to cumulative values and accumulated separately.
    Subsequently, the first RDE measurement point of the second data window is processed in an analogous manner. In particular, its emission values are weighted with the weighting factor of the second data window and assigned to a corresponding value pairing of speed value and torque value.
    In an analogous manner, all the other data windows are now proceeded, which results in differently sized cumulated values of the emissions for different pairs of values.
    The characteristic diagram of the analysis data set determined with the method according to the invention now allows an engine developer to identify the measures that have to be taken on an internal combustion engine or its engine control in order to (better) comply with the RDE criteria.
    权利要求:
    Claims (12)
    [1]
    claims
    A method of creating an analysis data set, wherein the analysis data set is suitable or adapted for optimizing the engine control of an internal combustion engine on a test bench taking into account engine and emission data recorded in practical or virtual operation, comprising the following steps: - creating or providing an RDE Dataset of a test specimen, wherein the test specimen is a motor vehicle with an internal combustion engine and wherein the RDE record in practical or virtual operation of the specimen recorded over time torque, speed and speed data, emission data of C02 emissions, as well as emission data for at least one contains further exhaust gas constituents, such as NO, NOx, HC, CO and / or particulates, or determining weighting factors for underweighting or blanking emission data of the RDE dataset taken at operating conditions of the test specimen that are predefined Divergences operating conditions of the DUT, and forming the analysis data set by weighting the emission data with the weighting factors and by assigning the weighted emission data to corresponding value pairings of rotational speed and torque of the RDE data set.
    [2]
    2. The method of claim 1, wherein forming the analysis data set comprises the steps of: calculating or setting a weighting factor of a first data window of the RDE data set; identifying the speed value and the torque value for each RDE measurement point of the RDE data set in first data window, - multiplying the emission value or the emission values of the RDE measurement points of the first data window by the weighting factor of the first data window, - assigning the weighted emission values of all RDE measurement points of the first data window to the corresponding value pairing of velocity value and torque value of the RDE measurement points, Calculating or setting the weighting factors of further data windows, - identifying the speed values and the torque values for each RDE measurement point of the RDE data set of the further data windows, - multiplying the emission values of the RDE measurement points by the respective weighting factors Data window, - Assigning the weighted emission values of all measurement points of all other data windows to the corresponding value pairings of speed value and torque value of the measurement points of all data windows, and cumulating all weighted emission values of an exhaust gas component assigned to a pairing of values or cumulating all weighted emission values of different exhaust gas components assigned to a pairing of values ,
    [3]
    Method according to claim 1 or 2, characterized in that the determination of the weighting factors and / or the weighting of the emission data is performed according to the Moving Average Window (MAW) method according to Commission Regulation (EU) 2016/427 of 10. March 2016 amending Regulation No 629/2008 with regard to emissions from light passenger and commercial vehicles (EURO 6) ".
    [4]
    4. Method according to claim 1, characterized in that the weighting of the emission data comprises the following steps: Providing a WLTP data record in accordance with "UNECE Global Technical Regulation No. 15" - worldwide harmonized light vehicle test procedure (ECE / TRANS / 180 / Add.15) "of the UUT, wherein the WLTP record comprises C02 emission values associated with different rates, - calculating a first MAW data item at time i of the RDE record - by cumulating the CO2 emissions of the RDE record in a first data window, wherein the first data window extends from the time i of the RDE data set to a time i + ti, wherein the time duration ti of the first data window corresponds to the time duration in which the RDE data set, starting from the time i, accounts for half of the total emitted C02 mass of the WLTP dataset occurs, - and by dividing the cumulative C02 emissions obtained by the in the first data window according to the RDE data record, - as well as by determining the average speed in the first data window.
    [5]
    5. The method of claim 4, wherein weighting the emission data comprises the steps of: calculating another MAW data point at time i + x of the RDE data set, by cumulating the C02 emissions of the RDE data set in a further data window , wherein the further data window extends from the time i + x of the RDE data set to a time i + x + tx, wherein the time duration tx of the further data window corresponds to the time duration in which the RDE data set starts from the time i + x half of the total CO2 emitted mass of the WLTP dataset occurs, - and by dividing the cumulative CO 2 emissions obtained by the distance traveled in the data window according to the RDE dataset, - and by determining the average speed in the further data window.
    [6]
    6. The method according to claim 4, wherein the weighting of the emission data comprises the following steps: calculating further MAW data points at the times i + x of the RDE data record by accumulating the C02 emissions of the RDE data record in further data windows, wherein the further data windows extend from the times i + x of the RDE data set to times i + x + tx, wherein the time duration tx of the further data windows corresponds to the time durations in which the RDE data set starting from the When i + x each half of the total CO2 emitted mass of the WLTP dataset occurs, - and by dividing the cumulative CO 2 emissions obtained by the distances traveled in the RDE dataset data windows, - and by averaging the average velocities in the others data windows.
    [7]
    Method according to claim 6, characterized in that the values x are integer second values from 1 to y, where y corresponds to the time of commencement of the last data window, which corresponds in particular to the time of the end of the measurement minus the time duration of the last data window, and the time i is preferably the time 0 at the beginning of the measurement.
    [8]
    8. The method according to claim 2, characterized in that the determination of the weighting factors comprises the following steps: provision of a WLTP data line of the test object in accordance with UNECE Global Technical Regulation No. 15 - worldwide harmonized light vehicle test procedure (ECE / TRANS / 180 / Add.15) ", wherein the WLTP data line comprises C02 data over the average speed, and determining a weighting factor for each data window according to the C02 difference of the respective MAW data point of the considered data window to the WLTP data line at the corresponding speed the MAW data point of the considered data window, in particular the Moving Average Window (MAW) method according to Commission Regulation (EU) 2016/427 of 10 March 2016 amending Regulation No 629/2008 on emissions from light passenger cars and commercial vehicles (EURO 6) "
    [9]
    A method of creating an analysis data set comprising the steps of: - creating or providing multiple RDE records, performing the method of any one of the preceding claims for all RDE records, - forming a single analysis data set by assigning the emission data of all weighted RDE records to the corresponding value pairings of speed and torque.
    [10]
    10. The method according to claim 9, characterized in that the RDE data sets: - RDE data of different vehicles with identical engines, - RDE data of identical vehicles with identical engines, - RDE data of several virtual or practical test drives, - RDE data of several virtual or practical test drives of different vehicles with identical engines, or - RDE data of different vehicles of a vehicle fleet are.
    [11]
    11. A method for optimizing the engine control of an internal combustion engine-powered motor vehicle on a test bench taking into account recorded in practical or virtual operation engine and emission data using an analysis data set according to one of the preceding claims, characterized in that from the emission data of the analysis data set targets for engine development derived from the engine test bench and / or that directly from the emission data of the analysis data set targets for the engine development are derived at the engine test in an automated statistical design of experiments.
    [12]
    12. A method for operating an arrangement of a test stand with a test specimen, wherein the arrangement is designed as a motor test bench with a connected motor, as a powertrain test stand with a connected drive train or as a chassis dynamometer with a connected vehicle, characterized in that the control of the test bench operation by targets according to Claim 11 takes place.
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    同族专利:
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    AT518677B1|2018-05-15|
    WO2017207463A1|2017-12-07|
    引用文献:
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    法律状态:
    2022-01-15| MM01| Lapse because of not paying annual fees|Effective date: 20210530 |
    优先权:
    申请号 | 申请日 | 专利标题
    ATA50484/2016A|AT518677B1|2016-05-30|2016-05-30|Method for creating an analysis data set|ATA50484/2016A| AT518677B1|2016-05-30|2016-05-30|Method for creating an analysis data set|
    PCT/EP2017/062845| WO2017207463A1|2016-05-30|2017-05-29|Method for constructing an analysis data set|
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