CN114328660A - Screening method, computing device and storage medium for engine similar working conditions - Google Patents
Screening method, computing device and storage medium for engine similar working conditions Download PDFInfo
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- CN114328660A CN114328660A CN202111595192.1A CN202111595192A CN114328660A CN 114328660 A CN114328660 A CN 114328660A CN 202111595192 A CN202111595192 A CN 202111595192A CN 114328660 A CN114328660 A CN 114328660A
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Abstract
The invention relates to a screening method, a computing device and a storage medium for similar working conditions of an engine. The screening method of the engine similar working conditions comprises the steps of obtaining a data collecting record file of the engine working conditions; analyzing the collected data record file; acquiring data in a time period of the basic working condition, and calculating description characteristics of the basic working condition, wherein the time period is formed from the starting time to the ending time of the basic working condition; acquiring working condition limiting conditions at the starting moment and in a time period; and scanning the acquired data record file to obtain similar working conditions. The invention quickly analyzes and retrieves the similar data with similar working conditions in a large number of collected data record files through the working condition limiting conditions and the description characteristics of basic working conditions, and is beneficial to adjusting the calibration parameter values in the road test and solving the problems encountered in the road test.
Description
Technical Field
The invention relates to the technical field of engines, in particular to a screening method, computing equipment and a storage medium for engine similar working conditions.
Background
In the development stage of new automobile models in the automobile industry, matching and optimizing engine control parameters are important work. In order to meet various comprehensive requirements such as low oil consumption, good driving experience, sufficient part protection, reliability, durability, noise, environmental protection and the like in the driving process of vehicles on most actual roads, the vehicles need to be driven to perform real road tests under various actual roads and environments, such as suburbs, rural areas, plateaus, high heat, high cold and the like. The control parameters and various signals related to the engine and even the gearbox are recorded by a recorder, and a measurement record file (log file) is formed. The log file is analyzed through a traditional statistical analysis method to count and analyze the overall adaptability of engine control, and the comprehensive performance of the vehicle is improved. With the development of the times, the requirements of consumers on vehicles are gradually improved, the complexity of the engine per se is increased year by year, and the working conditions and environments to be tested and the data record quantity to be analyzed are also multiplied.
The traditional statistical and analytical method is generally to open a log file by a software tool, and only can be used for analyzing the log file to observe and analyze control parameters and signals, the statistical function is very weak, and specific working conditions cannot be quickly positioned for statistics and comparative analysis. Engineers typically need to view and analyze log files on a second-by-second or even smaller time unit basis, which is inefficient.
Disclosure of Invention
The invention provides a screening method for engine similar working conditions, which comprises the following steps:
s1: acquiring a data acquisition record file of the working condition of the engine;
s2: analyzing the collected data record file;
s3: acquiring data in a time period of the basic working condition, and calculating description characteristics of the basic working condition, wherein the time period is formed from the starting time to the ending time of the basic working condition;
s4: acquiring working condition limiting conditions at the starting moment and in a time period; and
s5: and scanning the acquired data record file to obtain similar working conditions.
Further, the descriptive characteristics include the load maximum value MX, the load minimum value MN, the time-series-based ratio R of the load maximum value MX to the load minimum value MN, the load integral Itg from the start time to the end time, the time duration T of the period, the rotation speed minimum value nMN, and the rotation speed maximum value nMX.
Further, step S5 further includes the steps of:
s51: scanning the collected data recording file to obtain a plurality of working condition time periods which are the same as the working condition limiting conditions;
s52: setting a time window in each working condition time period, and calculating a load maximum value MNx, a load minimum value MXx, a ratio Rx from the load maximum value MNx to a load minimum value MXx based on a time sequence, a load integral Itgx from the start time of the time window to the end time of the time window, a rotating speed minimum value nMXx and a rotating speed maximum value nmNn point by point from the start time of the time window;
s53: judging whether the following conditions are met: MXx <1.3 × MX, MNx >0.7 × MN, 0.8 × R < Rx <1.2 × R, 0.8 × RItg < Itgx <1.2 × Itg, nMxx <1.3 × nMX, and nMx >0.8 × nMN; when the condition is satisfied, step S54 is executed; when the condition is not satisfied, step S55 is executed;
s54: writing the starting time and the ending time of the time window into the returned two-dimensional array as a pair of time values;
s56: acquiring similar working conditions according to the returned two-dimensional array and the collected and recorded data file; and
s55: the time window is increased by a preset step size and returns to step S52.
Further, step S55 further includes the following steps:
s551: when the time window reaches the maximum value and cannot meet the condition, the time window is adjusted back to the minimum value; while moving the start time of the time window backward by a preset time and returning to step S52.
Furthermore, the predetermined time is a difference between corresponding time points of two adjacent data.
Further, the minimum value of the time window is 0.5 × T, and the maximum value of the time window is 2 × T.
Further, the preset step size is 0.1 s.
Further, the condition defining conditions include one or more of whether knocking, fuel cut, air conditioner operating state, electronic load operating state, fan gear, canister operating state, transmission gear, transmission controller intervention, body stability system intervention, cruise system torque control request state occurs.
The application also provides a computing device which comprises a storage, a processor and computer instructions stored on the storage and capable of running on the processor, wherein when the processor executes the instructions, the screening method for the engine similar working conditions is realized.
The application also provides a storage medium, wherein the storage medium stores a plurality of programs, and the programs can be executed by one or more control modules to realize the screening method for the engine similar working conditions.
Drawings
FIG. 1 is a flow chart of a method for screening engine similar conditions according to an embodiment of the present invention.
Fig. 2 is a schematic process diagram of step S5 in fig. 1.
FIGS. 3A-3D are waveform diagrams of similar operating conditions according to an embodiment of the present invention.
FIG. 4 is a waveform diagram of a base mode of an embodiment of the present invention.
Detailed Description
The technical solutions in the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It is to be understood that the present invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. In the drawings, the size and relative sizes of layers and regions may be exaggerated for clarity, and the same reference numerals denote the same elements throughout. It will be understood that when an element or layer is referred to as being "on" …, "adjacent to …," "connected to" or "coupled to" other elements or layers, it can be directly on, adjacent to, connected to or coupled to the other elements or layers or intervening elements or layers may be present. In contrast, when an element is referred to as being "directly on …," "directly adjacent to …," "directly connected to" or "directly coupled to" other elements or layers, there are no intervening elements or layers present. It will be understood that, although the terms first, second, third, etc. may be used to describe various elements, components, regions, layers and/or sections, these elements, components, regions, layers and/or sections should not be limited by these terms. These terms are only used to distinguish one element, component, region, layer or section from another element, component, region, layer or section. Thus, a first element, component, region, layer or section discussed below could be termed a second element, component, region, layer or section without departing from the teachings of the present invention.
Spatial relationship terms such as "under …", "under …", "below", "under …", "above …", "above", and the like, may be used herein for ease of description to describe the relationship of one element or feature to another element or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, then elements or features described as "below" or "beneath" other elements or features would then be oriented "above" the other elements or features. Thus, the exemplary terms "below …" and "below …" can encompass both an orientation of up and down. The device may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatial descriptors used herein interpreted accordingly.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. As used herein, the term "and/or" includes any and all combinations of the associated listed items.
In an embodiment of the present invention, a method for screening similar engine operating conditions is provided, and specifically, refer to a flowchart of a method for screening similar engine operating conditions according to an embodiment of the present invention shown in fig. 1. The engine similar working condition screening method of the embodiment of the invention comprises the following steps:
s1: and acquiring a data acquisition record file of the working condition of the engine.
Generally, in the development stage of automobiles, it is necessary to drive a vehicle to perform real road tests on various actual roads and environments, and record control parameters related to an engine and even a variable case, such as an injection phase, an ignition angle, an accelerator opening and the like of the engine, and various signals, such as an engine speed, an engine load and the like, through a recorder, such as a computer or a processor and the like, so as to form a collected data record file of engine operating conditions, wherein the file format of the collected data record file may be.
S2: and analyzing the collected data record file.
Specifically, the computer or the processor may receive the collected data record file of the engine operating condition, and parse the collected data record file.
S3: acquiring data in a time period of a basic condition, and calculating description characteristics of the basic condition, wherein the time period is formed from the starting time to the ending time of the basic condition.
Specifically, fig. 4 shows a waveform diagram of the base condition, and curves 1 and 2 are sequence data in a period from a start time t1 to an end time t2 of the base condition, where curve 1 is the engine speed and curve 2 is the engine load. The characteristic features of the base operating mode are calculated from the data from the start time T1 to the end time T2, wherein the characteristic features include the maximum load MX, the minimum load MN, the time-series ratio R (R ═ y/(T ″)) from the maximum load MX to the minimum load MN, the integral load Itg from the start time T1 to the end time T2, the time period T (T ═ T2-T1), the minimum speed nMN and the maximum speed nMX.
S4: and acquiring the starting time and the working condition limiting conditions in the time period.
Specifically, the method comprises the steps of obtaining a working condition limiting condition of a starting time t1 of a basic working condition and a working condition limiting condition in a time period from the starting time t1 to an ending time t2 of the basic working condition, wherein the working condition limiting condition comprises one or more of whether knocking and fuel cut occur or not, an air conditioner working state, an electronic load working state, a fan gear position, a carbon tank working state, a transmission gear position, transmission controller intervention, vehicle body stabilizing system intervention and a cruise system torque control request state.
S5: and scanning the collected data recording file to obtain similar working conditions.
And scanning the collected data record files according to the description characteristics of the basic working conditions and the working condition limiting conditions in the time period from the starting time t1 to the ending time t2, and screening out the working conditions similar to the basic working conditions from the collected data record files. 3A-3D illustrate conditions similar to the base condition illustrated in FIG. 4 as similar conditions.
As shown in fig. 2, in step S5, the process of acquiring similar conditions includes:
s51: and scanning the collected data record file to obtain a plurality of working condition time periods which are the same as the working condition limiting conditions.
Specifically, the whole collected data record file is scanned, and a plurality of working condition time periods which are the same as the working condition limiting conditions in the starting time of the basic working condition and the time period from the starting time to the ending time are screened from the collected data record file to form a working condition time period set.
S52: setting a time window in each working condition time period, and calculating the load maximum value MNx, the load minimum value MXx, the ratio Rx of the load maximum value MNx to the load minimum value MXx based on the time sequence, the load integral Itgx from the starting time of the time window to the ending time of the time window, the rotating speed minimum value nMXx and the rotating speed maximum value nmNn in the time window point by point from the starting time of the time window.
Specifically, a time window is set in each working condition time period, the starting time of the time window is first data corresponding to the starting time of each working condition time period, and the ratio Rx of the maximum load MNx, the minimum load MXx, the maximum load MNx to the minimum load MXx in the time window based on the time sequence, the load integral Itgx from the starting time of the time window to the ending time of the time window, the minimum rotating speed nMXx and the maximum rotating speed nmNn are calculated point by point.
S53: judging whether the following conditions are met: MXx <1.3 × MX, MNx >0.7 × MN, 0.8 × R < Rx <1.2 × R, 0.8 × RItg < Itgx <1.2 × Itg, nMxx <1.3 × nMX, and nMx >0.8 × nMN; when the condition is satisfied, performing step S54; when the condition is not satisfied, step S55 is performed.
S54: and writing the starting time and the ending time of the time window into the returned two-dimensional array as a pair of time values.
Specifically, the start time and the end time of the time window are written into the returned two-dimensional array as a pair of time values, for example, { [ T11, T12], [ T21, T22] … }, where T11 and T12 in the two-dimensional array [ T11, T12] are the start time and the end time of one similar condition, and T21 and T22 in the two-dimensional data [ T21, T22] are the start time and the receiving time of another similar condition.
S56: and acquiring the similar working conditions according to the returned two-dimensional array and the collected and recorded data file.
Specifically, according to the returned two-dimensional array, corresponding data in the collected data record file can be acquired. According to the two-dimensional array and the corresponding data, corresponding curves as shown in fig. 3A-3D can be drawn to obtain a working condition similar to the basic working condition.
S55: the time window is increased by a preset step size and returns to step S52.
Specifically, the preset step size may be, but is not limited to, 0.1 s. The time window is increased by a preset step from the original time window, step S52 is executed again, that is, the time-series ratio Rx of the maximum load value MNx, the minimum load value MXx, the maximum load value MNx to the minimum load value MXx in the time window, the load integral Itgx from the start time of the time window to the end time of the time window, the minimum rotation speed nMXx, and the maximum rotation speed nMNn are calculated point by point from the start time of the time window, and step S53 is executed again. The steps S52 and S53 need to be re-executed every time the time window is increased by a preset step size.
As shown in fig. 2, step 55 further includes step S551: when the condition is not satisfied yet when the time window reaches a maximum value, adjusting the time window back to a minimum value; while moving the start time of the time window backward by a preset time and returning to step S52.
Specifically, the time window still cannot satisfy the determination condition of step 53 when reaching the maximum value, and the time window is adjusted back to the minimum value, where the maximum value of the time window is 2 × T and the minimum value of the time window is 0.5 × T. And shifting the time window backwards for a preset time while the time window is adjusted back to the minimum value, namely moving the starting time of the time window to the time corresponding to the second data in the working condition time period, and then repeatedly executing the steps S52 and S53. If the condition of step S53 is not satisfied when the time window reaches the maximum value, the time window is adjusted back to the minimum value while moving the start time of the time window back to the time corresponding to the next data. All data of all time segments in the time set are scanned one by one in the above manner.
The application also provides a computing device which comprises a storage, a processor and computer instructions stored on the storage and capable of running on the processor, wherein the processor executes the instructions to realize the screening method for the engine similar working conditions.
The application also provides a storage medium, which is characterized in that the storage medium stores a plurality of programs, and the programs can be executed by one or more control modules to realize the screening method for the engine similar working conditions.
Based on multiple application scenes in the actual vehicle or engine calibration process, the analysis efficiency is greatly improved through the automatic analysis of the screening method, the global optimal calibration parameters can be obtained through the global analysis, and the situations that the performance of the engine is improved after the calibration parameters are adjusted under a certain working condition and other similar working conditions are poor are avoided. The method has the advantages of analyzing the abnormity of a certain engine signal, automatically retrieving similar working conditions in a large number of collected data record files and greatly helping to find the root cause of the problem.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A screening method for engine similar working conditions is characterized by comprising the following steps:
s1: acquiring a data acquisition record file of the working condition of the engine;
s2: analyzing the collected data record file;
s3: acquiring data in a time period of a basic working condition, and calculating description characteristics of the basic working condition, wherein the time period is formed from the starting time to the ending time of the basic working condition;
s4: acquiring the starting time and working condition limiting conditions in the time period; and
s5: and scanning the collected data recording file to obtain similar working conditions.
2. The method for screening engine-like conditions according to claim 1, wherein the characterizing feature comprises: the load maximum value MX, the load minimum value MN, the ratio R of the load maximum value MX to the load minimum value MN based on a time sequence, the load integral Itg from the starting moment to the ending moment, the time length T of the time period, the rotating speed minimum value nMN and the rotating speed maximum value nMX.
3. The method for screening engine similar conditions according to claim 2, wherein the step S5 further comprises the steps of:
s51: scanning the collected data recording file to obtain a plurality of working condition time periods which are the same as the working condition limiting conditions;
s52: setting a time window in each working condition time period, and calculating a ratio Rx of a load maximum value MNx, a load minimum value MXx, a load maximum value MNx to a load minimum value MXx based on a time sequence, a load integral Itgx from the starting moment of the time window to the ending moment of the time window, a rotating speed minimum value nMXx and a rotating speed maximum value nmNn in the time window point by point from the starting moment of the time window;
s53: judging whether the following conditions are met: MXx <1.3 × MX, MNx >0.7 × MN, 0.8 × R < Rx <1.2 × R, 0.8 × RItg < Itgx <1.2 × Itg, nMxx <1.3 × nMX, and nMx >0.8 × nMN; when the condition is satisfied, performing step S54; when the condition is not satisfied, performing step S55;
s54: writing the starting time and the ending time of the time window into a returned two-dimensional array as a pair of time values;
s56: acquiring the similar working condition according to the returned two-dimensional array and the collected and recorded data file; and
s55: the time window is increased by a preset step size and returns to step S52.
4. The method for screening engine similar conditions according to claim 3, wherein the step S55 further comprises the steps of:
s551: when the condition is not satisfied yet when the time window reaches a maximum value, adjusting the time window back to a minimum value; while moving the start time of the time window backward by a preset time and returning to step S52.
5. The method for screening engine similar working conditions according to claim 4, wherein the preset time is the difference between corresponding moments of two adjacent data.
6. The method for screening engine similar conditions according to claim 3, wherein the minimum value of the time window is 0.5 x T, and the maximum value of the time window is 2 x T.
7. The method for screening engine similar conditions according to claim 3, wherein the preset step size is 0.1 s.
8. The method of screening engine similar conditions according to claim 1, wherein the condition defining conditions include one or more of whether knock occurs, fuel cut, air conditioning operating conditions, electrical load operating conditions, fan gear, canister operating conditions, transmission gear, transmission controller intervention, body stability system intervention, cruise system torque control request conditions.
9. A computing device comprising a memory, a processor, and computer instructions stored on the memory and executable on the processor, wherein the processor when executing the instructions implements the engine-like condition screening method of any one of claims 1-8.
10. A storage medium storing a plurality of programs executable by one or more control modules to implement the engine-like condition screening method of any one of claims 1 to 8.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115601855A (en) * | 2022-11-29 | 2023-01-13 | 天津所托瑞安汽车科技有限公司（Cn） | Vehicle driving condition construction method, electronic device and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115601855A (en) * | 2022-11-29 | 2023-01-13 | 天津所托瑞安汽车科技有限公司（Cn） | Vehicle driving condition construction method, electronic device and storage medium |
| CN115601855B (en) * | 2022-11-29 | 2023-04-07 | 天津所托瑞安汽车科技有限公司 | Vehicle driving condition construction method, electronic device and storage medium |
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