CN112907694A - Efficiency test data processing method and device for driving motor system - Google Patents
Efficiency test data processing method and device for driving motor system Download PDFInfo
- Publication number
- CN112907694A CN112907694A CN201911224620.2A CN201911224620A CN112907694A CN 112907694 A CN112907694 A CN 112907694A CN 201911224620 A CN201911224620 A CN 201911224620A CN 112907694 A CN112907694 A CN 112907694A
- Authority
- CN
- China
- Prior art keywords
- data
- driving motor
- efficiency
- rotating speed
- error correction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012360 testing method Methods 0.000 title claims abstract description 54
- 238000003672 processing method Methods 0.000 title claims abstract description 14
- 238000012937 correction Methods 0.000 claims abstract description 84
- 238000012216 screening Methods 0.000 claims abstract description 23
- 238000000034 method Methods 0.000 claims description 36
- 238000012545 processing Methods 0.000 claims description 15
- 230000002159 abnormal effect Effects 0.000 claims description 9
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 11
- 238000005259 measurement Methods 0.000 description 5
- 238000009826 distribution Methods 0.000 description 3
- 230000009194 climbing Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000009828 non-uniform distribution Methods 0.000 description 1
- 238000009827 uniform distribution Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/206—Drawing of charts or graphs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/60—Editing figures and text; Combining figures or text
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Graphics (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- Control Of Electric Motors In General (AREA)
Abstract
The invention provides an efficiency test data processing method for a driving motor system, which comprises the following steps: reading the original efficiency test data of the driving motor system to form a seven-row number table, and performing error correction of omission factor and error correction of repeated data on all data in the seven-row number table to obtain error-corrected abnormal-free data; reading rotating speed data, torque data and shaft power data in the abnormal-free data, and obtaining external characteristic data through data screening to draw an external characteristic curve of the drive motor; and reading abnormal-free data, screening key information, then drawing and outputting a driving motor efficiency MAP (MAP), a driving motor controller efficiency MAP, a driving motor system efficiency MAP, a driving motor current MAP and a driving motor rotating speed-torque-efficiency three-dimensional graph, and adding comments aiming at the key information on the drawn graphs. The invention realizes automatic error correction of the original data; the functions of external characteristic data screening and automatic result output of the tested power assembly are realized; and the simultaneous output of various types of test results is realized.
Description
Technical Field
The invention relates to the field of electric automobile tests, in particular to an efficiency test data processing method and device for a driving motor system.
Background
At present, based on increasingly serious environmental and energy problems, electric vehicles are promoted to be widely researched, popularized and applied in industry, but the endurance mileage of the electric vehicles still remains a technical difficulty.
The driving motor system is used as a core component of the electric automobile, electric energy of the battery is converted into mechanical energy to drive the automobile to run during working, and the working efficiency of the driving motor system directly influences the cruising ability of the electric automobile. In practical application, the driving motor system can be applied to different working conditions (low-speed climbing, high-speed climbing, emergency acceleration and emergency braking), and the service condition of the driving motor system is very complex. In the prior art, an efficient and convenient test data processing method based on a driving motor is lacked.
Therefore, the invention provides an efficiency test data processing method and device for a driving motor system.
Disclosure of Invention
In order to solve the above problems, the present invention provides an efficiency test data processing method for a driving motor system, the method comprising the steps of:
the first step is as follows: reading efficiency test original data of the driving motor system to form a seven-row number table which respectively records rotating speed data, torque data, shaft power data, driving motor efficiency data, driving motor controller efficiency data, driving motor system efficiency data and driving motor phase current data, and performing error omission correction and repeated data error correction on all data in the seven-row number table according to the rotating speed data and the torque data to obtain error-corrected abnormal data;
the second step is as follows: reading rotating speed data, torque data and shaft power data in the abnormal-free data, and obtaining external characteristic data through data screening to draw a driving motor external characteristic curve, wherein the external characteristic data comprises: the method comprises the following steps of obtaining a rotating speed value with the same rotating speed, a maximum torque value corresponding to the rotating speed value with the same rotating speed, and a shaft power value corresponding to the maximum torque value;
the third step: and reading rotating speed data, torque data, driving motor efficiency data, driving motor controller efficiency data, driving motor system efficiency data and driving motor phase current data in the abnormal-free data, screening key information, then drawing and outputting a driving motor efficiency MAP (MAP), a driving motor controller efficiency MAP, a driving motor system efficiency MAP, a driving motor current MAP and a driving motor rotating speed-torque-efficiency three-dimensional graph, and adding comments aiming at the key information on the drawn graphs.
According to an embodiment of the present invention, the step of obtaining error-corrected abnormal-free data includes the following steps:
counting the number of actual measuring points at the same rotating speed to be used as first column data of an error correction list corresponding to the abnormal-free data;
screening the maximum torque value at the same rotating speed as second row data of the error correction list;
obtaining the omission judgment standard data as the third column data of the error correction list according to the first column data and the second column data of the error correction list;
obtaining repeated recording judgment standard data according to the first row data and the second row data of the error correction list, wherein the repeated recording judgment standard data is used as the fourth row data of the error correction list;
and taking the same rotating speed value as the fifth column data of the error correction list.
According to an embodiment of the present invention, the third column of data of the error correction list is obtained by the following formula:
wherein L3 represents the third column of data of the error correction list, x represents the first preset value, L2 represents the second column of data of the error correction list, and L1 represents the first column of data of the error correction list.
According to an embodiment of the present invention, the fourth column data of the error correction list is obtained by the following formula:
L4＝L2*y
wherein L4 represents the fourth column of data of the error correction list, L2 represents the second column of data of the error correction list, and y represents a second preset value.
According to an embodiment of the invention, in the first step, the shaft power data is calculated by the following formula:
wherein P represents the shaft power data, M represents the torque data, and n represents the rotational speed data.
According to an embodiment of the present invention, the third step further comprises: and performing percentage conversion on the efficiency data of the driving motor, the efficiency data of the driving motor controller and the efficiency data of the driving motor system, and then performing key information screening to obtain the key information.
According to one embodiment of the invention, the key information comprises: high efficiency interval ratio, highest efficiency, lowest efficiency, average efficiency, maximum current, minimum current, maximum torque.
According to an embodiment of the present invention, the third step further comprises: and when the three-dimensional graph of the rotating speed, the torque and the efficiency of the driving motor is drawn, the drawing of the three-dimensional graph is completed among data points by using a linear interpolation method.
According to an embodiment of the present invention, in the third step, further comprising: and correspondingly annotating the key information in a text box mode on the driving motor efficiency MAP graph, the driving motor controller efficiency MAP graph, the driving motor system efficiency MAP graph, the driving motor current MAP graph and the driving motor rotating speed-torque-efficiency three-dimensional graph.
According to another aspect of the present invention, there is also provided an efficiency test data processing apparatus for a drive motor system, the apparatus including:
the first module is used for reading efficiency test original data of the driving motor system, forming a seven-row number table which respectively records rotating speed data, torque data, shaft power data, driving motor efficiency data, driving motor controller efficiency data, driving motor system efficiency data and driving motor phase current data, and performing error-missing correction and repeated data error correction on all data in the seven-row number table according to the rotating speed data and the torque data to obtain abnormal-free data after error correction;
a second module, configured to read rotation speed data, torque data, and shaft power data in the abnormal-free data, and obtain external characteristic data through data screening to draw a driving-motor external characteristic curve, where the external characteristic data includes: the method comprises the following steps of obtaining a rotating speed value with the same rotating speed, a maximum torque value corresponding to the rotating speed value with the same rotating speed, and a shaft power value corresponding to the maximum torque value;
and the third module is used for reading the rotating speed data, the torque data, the driving motor efficiency data, the driving motor controller efficiency data, the driving motor system efficiency data and the driving motor phase current data in the abnormal-free data, drawing and outputting a driving motor efficiency MAP (MAP), a driving motor controller efficiency MAP, a driving motor system efficiency MAP, a driving motor current MAP and a driving motor rotating speed-torque-efficiency three-dimensional graph after screening key information, and adding comments aiming at the key information on the drawn graphs.
The method and the device for processing the efficiency test data of the driving motor system realize automatic error correction of the original data of the efficiency test of the driving motor system for the electric automobile, ensure the accuracy of the test data and effectively reduce the labor intensity of manual selection of the error items of the original data by testers; the external characteristic data screening and automatic result output functions of the tested power assembly are realized, the working efficiency is effectively improved, and the working intensity is reduced; 5 types of test results such as a driving motor efficiency MAP graph, a driving motor controller efficiency MAP graph, a driving motor system efficiency MAP graph, a driving motor current MAP graph and a driving motor rotating speed-torque-efficiency three-dimensional graph are output simultaneously, test key data are screened and then embodied in a text box mode, the intuition of the test results is improved, and the development and type selection of the driving motor system for the electric automobile are facilitated.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 shows a flow diagram of an efficiency test data processing method for a drive motor system according to one embodiment of the present invention;
FIG. 2 illustrates a seven-column tabular chart recording rotational speed data, torque data, shaft power data, drive motor efficiency data, drive motor controller efficiency data, drive motor system efficiency data, and drive motor phase current data in accordance with one embodiment of the present invention;
FIG. 3 shows a schematic diagram of the data error correction function according to one embodiment of the present invention;
FIG. 4 shows a flow diagram of a data error correction process according to one embodiment of the invention;
FIG. 5 shows an error correction tabulation corresponding to the abnormal-free data according to one embodiment of the present invention;
FIG. 6 shows a schematic diagram of data before and after error correction according to an embodiment of the invention;
FIGS. 7a-7c show an external property data processing folder view, an external property data output view, and a drive motor external property graph according to an embodiment of the present invention;
FIG. 8 shows a flow chart of an efficiency test data processing method for a drive motor system according to another embodiment of the present invention;
FIGS. 9a-9e illustrate a drive motor efficiency MAP graph, a drive motor current MAP graph, a drive motor controller efficiency MAP graph, a drive motor system efficiency MAP graph, and a drive motor speed-torque-efficiency three-dimensional graph, according to an embodiment of the present invention; and
fig. 10 shows a block diagram of an efficiency test data processing apparatus for a drive motor system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
In the prior art, a processing method, a processing system and a vehicle for motor system efficiency MAP data are disclosed, although the prior art can provide a driving motor efficiency MAP and select a target area on the efficiency MAP, …, to obtain the efficiency statistics of the motor system in the target area, but the prior art does not relate to the problem of processing the efficiency data and the current data of a power assembly (power assembly: comprising a motor (gearbox) + electronic control)) except the motor in the process of efficiency test. In the power assembly test process, original test data is easily interfered by factors such as field electromagnetic interference, instrument and equipment precision, response speed, operator proficiency and the like, and absolute correctness cannot be ensured, so that the method is particularly important for processing (correcting) the original data.
In addition, the prior art also discloses a design method for the efficiency distribution of the vehicle driving motor system, which aims to improve the average efficiency of the electric vehicle during driving. The method for extracting and processing invalid data is used for forming an extended data set sequence by applying an interpolation method except for simple obvious error data of which the rotating speed and the torque are less than 0, and finally obtaining a motor working condition distribution diagram based on frequency. And finally, when the motor is designed and developed, the efficiency of the motor system in the area is improved or the high-efficiency area of the motor system is superposed with the area as much as possible, so that the design of the motor efficiency distribution is completed. However, the above methods are mostly suitable for the occasions where the dynamometer directly measures the efficiency data of the dynamometer or the input power of the motor is not concerned, and the measurement and processing method of the raw data of the efficiency data are not discussed.
FIG. 1 shows a flow chart of an efficiency test data processing method for a drive motor system according to one embodiment of the present invention.
As shown in fig. 1, in step S101, original efficiency test data of the driving motor system is read to form a seven-rank table, and error correction is performed on all data in the seven-rank table based on the rotational speed data and the torque data to obtain error-corrected abnormal-free data.
Specifically, the error correction of the missed note refers to that after the missed data in the original data is identified by the error correction method provided by the invention, the data points which are missed in the test are supplemented to perfect the original data; the repeated data error correction refers to that after repeated data in the original data are identified by the error correction method provided by the invention, the repeated data are automatically deleted to perfect the original data, and finally the error-corrected data without abnormal errors are obtained.
Specifically, the efficiency test original data of the driving motor system is read to form a seven-column table (as shown in fig. 2, the first column is rotating speed data, the second column is torque data, the third column is shaft power data, the fourth column is driving motor efficiency data, the fifth column is driving motor controller efficiency data, the sixth column is driving motor system efficiency data, and the seventh column is driving motor phase current data) which respectively records rotating speed data, torque data, shaft power data, driving motor efficiency data, driving motor controller efficiency data, driving motor system efficiency data and driving motor phase current data, and all data in the seven-column table are subjected to error omission correction and repeated data error correction according to the rotating speed data and the torque data to obtain abnormal data after error correction.
In one embodiment, the step of obtaining error-corrected abnormal-free data further includes the following steps:
firstly, counting the number of actual measurement points at the same rotating speed, and using the number as the first column of data (such as the first column of data in fig. 5) of an error correction list corresponding to the abnormal-free data; then screening the maximum torque value at the same rotating speed as the second row of data of the error correction list (such as the second row of data in FIG. 5); then, according to the first column data and the second column data of the error correction list, obtaining the omission judgment standard data as the third column data of the error correction list (for example, the third column data of fig. 5); then, according to the first column data and the second column data of the error correction list, obtaining the repeated recording judgment standard data as the fourth column data (for example, the fourth column data in fig. 5) of the error correction list; finally, the same rotation speed value is used as the fifth column of data of the error correction list (e.g. the fifth column of data in fig. 5).
Further, the third column of data of the error correction list is obtained by the following formula:
where L3 denotes the third column of data of the error correction list, x denotes the first preset value, L2 denotes the second column of data of the error correction list, and L1 denotes the first column of data of the error correction list.
Further, the fourth column data of the error correction list is obtained by the following formula:
L4＝L2*y
wherein L4 denotes a fourth column data of the error correction list, L2 denotes a second column data of the error correction list, and y denotes a second preset value.
Specifically, the shaft power data is calculated by the following formula:
where P represents shaft power data, M represents torque data, and n represents rotational speed data.
As shown in fig. 1, in step S102, the rotational speed data, the torque data and the shaft power data in the abnormal-free data are read, and the external characteristic data is obtained through data screening to draw the external characteristic curve of the driving motor.
Specifically, the extrinsic characteristic data includes: data with the same rotating speed, a maximum torque value actually measured at each rotating speed and a shaft power value.
As shown in fig. 1, in step S103, the abnormal-free data is read, screened by the key information, and then a driving motor efficiency MAP, a driving motor controller efficiency MAP, a driving motor system efficiency MAP, a driving motor current MAP and a driving motor speed-torque-efficiency three-dimensional MAP are plotted and output, and the annotation for the key information is added to the plotted MAP.
Specifically, the method comprises the steps of reading rotating speed data, torque data, driving motor efficiency data, driving motor controller efficiency data, driving motor system efficiency data and driving motor phase current data in the abnormal-free data, drawing and outputting a driving motor efficiency MAP (MAP), a driving motor controller efficiency MAP, a driving motor system efficiency MAP, a driving motor current MAP and a driving motor rotating speed-torque-efficiency three-dimensional graph after screening key information, and adding comments aiming at the key information on the drawn graphs.
Further, in step S103, percentage conversion is performed on the efficiency data of the driving motor, the efficiency data of the controller of the driving motor, and the efficiency data of the system of the driving motor, and then key information screening is performed to obtain key information.
Specifically, the key information includes: high efficiency interval ratio, highest efficiency, lowest efficiency, average efficiency, maximum current, minimum current, maximum torque. The high efficiency interval is specifically: higher than 88%, higher than 85% and higher than 80% (the requirement of higher than 80% in national standard is regarded as high efficiency criterion, and the requirement of higher than 85% and 88% in engineering is regarded as high efficiency criterion).
Preferably, in step S103, when the three-dimensional map of the rotational speed-torque-efficiency of the driving motor is drawn, the drawing of the three-dimensional map is completed between the data points by using a linear interpolation method. It should be noted that the linear interpolation method is not exclusive, and other methods can be applied to the present invention, and the present invention is not limited thereto.
Preferably, in step S103, the key information is annotated correspondingly on the driving motor efficiency MAP, the driving motor controller efficiency MAP, the driving motor system efficiency MAP, the driving motor current MAP and the driving motor rotating speed-torque-efficiency three-dimensional MAP by means of text boxes.
The method solves the problems that the manual error correction of the original data of the efficiency test of the driving motor system for the electric automobile is time-consuming and labor-consuming through automatic error correction; the problem that external characteristic data of a driving motor system efficiency test for the electric automobile cannot be automatically screened and results cannot be output is solved; the function of simultaneously outputting 5 types of test results such as a driving motor efficiency MAP graph, a controller efficiency MAP graph, a driving motor system efficiency MAP graph, a driving motor current MAP graph, a driving motor rotating speed-torque-efficiency three-dimensional graph and the like and highlighting key information is realized.
Generally, data to be error-corrected in the original data is mainly classified into duplicate recording type data and missing recording type data, that is, the original test result at a certain operating point has more than two recording results and one or more recording results are missing between two adjacent operating points in the original test record, as shown in fig. 3. The former case will result in a less than uniform distribution of the output efficiency MAP curve, and the latter case will result in a non-uniform distribution of the output efficiency MAP curve, while if some operating points that directly affect the motor system evaluation are omitted, the evaluation results of the motor will be directly affected. And therefore should be avoided throughout the motor system testing. For repeatedly recorded test original data, a processing mode of deleting multi-record data is required; for the original test data which are not recorded, the point needs to be subjected to supplementary test and the measured data are recorded.
Fig. 4 shows a flow diagram of a data error correction process according to one embodiment of the invention. As shown in fig. 4, the maximum torque value at the same rotation speed (the second column of the error correction table shown in fig. 5) can be obtained according to the original data (the original data is the data without any abnormal condition after error correction), the number of actual measurement points at the same rotation speed (the first column of the error correction table shown in fig. 5) can be counted,
then, the criterion a that is not recorded under the same rotating speed (every rotating speed) can be obtained according to the first list table and the second list table of the error correction list tablei(third column of data in error correction number table as shown in FIG. 5) and criterion b of repeated recordingi(the fourth column of data in the error correction count table shown in FIG. 5) (i ≦ test point total).
Then, the absolute value of the torque difference between two adjacent rows at (every) same rotating speed (which means the torque difference between two adjacent rows at (every) same rotating speed calculated in the no-exception data) is respectively used as the criterion a for omissioniAnd repeat recording criterion biAnd comparing the corresponding line number of the data which is recorded in a missing or repeated way. After traversing the whole original data table, if the data is not recorded neglectly or repeatedly, outputting 'the data has no obvious exception' and entering the subsequent processing step.
As shown in fig. 5, in order to implement the automatic error correction function of the raw data, the raw data (here, the data without abnormal values) needs to be read to form a 5-column data table (here, the error correction data table shown in fig. 5) for sequentially storing the number of actual measurement points (column 1 data) at the same rotation speed, the maximum torque value (column 2 data) at the same rotation speed, the omission judgment standard data (column 3 data), the repeated recording judgment standard data (column 4 data), and the same rotation speed value (column 5 data).
Next, the torque maximum value (column 2 data) at (each) same rotation speed is sequentially divided by the number of actual measurement points (column 1 data) at (each) same rotation speed, and multiplied by a first preset value x (empirically, x is 1.5), and the result is used as a criterion for checking whether the actual measurement data has missing records at the rotation speed, and is stored in column 3. The maximum torque value (column 2 data) at (each) same rotation speed is multiplied by a second preset value y (empirically, y is 0.02) in turn, and used as a judgment standard for checking whether the actually measured data is repeatedly recorded at the rotation speed, and the judgment standard is respectively stored in column 4 of the number table.
And finally, sequentially taking the difference between two adjacent torque values at (each) same rotating speed, taking an absolute value, comparing the absolute value with a repeated recording judgment standard and a missed recording judgment standard at the corresponding rotating speed, and if the missed recording or repeated recording data is found, outputting the number of lines of the corresponding data, such as the left graph in fig. 6. And checking the whole number table to finish the error correction of the whole original data. If no error data row is found in the whole number table, the output is "data has no obvious exception", as shown in the right diagram of FIG. 6.
It should be noted that, the values of the first preset value and the second preset value are not fixed, and may be flexibly selected according to the test range of the tested article, and may be appropriately widened or narrowed according to the actual requirement, which is not limited in the present application.
Fig. 7a-7c show an external characteristic data processing folder diagram, an external characteristic data output situation diagram, and a driving motor external characteristic graph according to an embodiment of the present invention.
When the external characteristic data is screened and the external characteristic curve of the driving motor is drawn, firstly, an original data table without abnormality (namely, abnormal data) is required to be read, and two lines of data of the rotating speed and the torque in the abnormal data are sequentially obtained. The read points with the same rotation speed are sequentially stored in the first column of the external characteristic number table (the external characteristic number table shown in fig. 7 b), and as shown in fig. 7b, the points with the same rotation speed comprise 330, 660, 765, 990, 1320, 1650, 1980, 2310, 2500, 2640, 2970 and 3300 at a time.
Next, the maximum torque value measured at each rotation speed, that is, the maximum torque value corresponding to the rotation speed value equal to the rotation speed, is sequentially screened, and when the rotation speed is 330, for example, the maximum torque value corresponds to 3051.8, and is stored in the second row of the external characteristic table (see the data in column B in fig. 7B).
Then, according to the shaft power data in the no-exception data, the shaft power value corresponding to the maximum torque value is selected as the third column of the external characteristic table (e.g., column C data in fig. 7 b). For example: the maximum torque value is 3051.8, and the corresponding shaft power value is 105.4549.
Finally, according to the external characteristic table, an external characteristic curve of the driving motor is drawn (as shown in fig. 7 c). And drawing the actually measured external characteristic data in the same double-ordinate broken line graph to obtain the external characteristic curve of the tested motor.
Fig. 8 shows a flowchart of an efficiency test data processing method for a drive motor system according to another embodiment of the present invention. Firstly, reading the seven-column table, correcting errors of the seven-column table, and then carrying out extrinsic characteristic screening. And then, reading the efficiency data after error correction, wherein the efficiency data refers to the efficiency data of the driving motor, the efficiency data of the driving motor controller and the efficiency data of the driving motor system in the abnormal-free data. And judging whether the efficiency data is percentage or not. If not, the efficiency data is multiplied by 100 to obtain the efficiency data after percentage conversion.
And then, calculating to obtain key information, wherein the key information refers to high-efficiency interval ratio, highest efficiency, lowest efficiency, average efficiency, maximum current, minimum current and maximum torque. Then, a driving motor efficiency MAP (shown in fig. 9a), a driving motor controller efficiency MAP (shown in fig. 9c), a driving motor system efficiency MAP (shown in fig. 9d), a driving motor current MAP (shown in fig. 9b) and a driving motor rotating speed-torque-efficiency three-dimensional MAP (shown in fig. 9e) are drawn, and after all the graphs (shown in fig. 9a-9 e) are drawn, the calculated key information should be annotated in the corresponding graphs in the form of text boxes, so that the readability of the test result is improved.
Specifically, a high efficiency interval ratio, a maximum efficiency, a minimum efficiency, and an average efficiency are added to the plotted efficiency MAP (e.g., fig. 9a, 9c, and 9 d); the maximum current, minimum current, maximum (torque) torque is added to the plotted current MAP (as in fig. 9 b). When a three-dimensional graph of the rotating speed, the torque and the efficiency of the driving motor is drawn, a linear interpolation method is used among data points to finish drawing of a three-dimensional graph, and the efficiency of a motor system in the whole operation interval is conveniently and integrally evaluated.
Fig. 10 shows a block diagram of an efficiency test data processing apparatus for a drive motor system according to an embodiment of the present invention. As shown in fig. 10, the processing apparatus 1000 includes a first module 1001, a second module 1002, and a third module 1003.
The first module 1001 is configured to read efficiency test raw data of a drive motor system, form seven-row data tables that respectively record rotation speed data, torque data, shaft power data, drive motor efficiency data, drive motor controller efficiency data, drive motor system efficiency data, and drive motor phase current data, and perform error-skip correction and repeated data error correction on all data in the seven-row data tables according to the rotation speed data and the torque data to obtain error-corrected abnormal data.
The second module 1002 is configured to read rotational speed data, torque data, and shaft power data in the abnormal-free data, and obtain external characteristic data through data screening to draw a driving motor external characteristic curve, where the external characteristic data includes: the rotating speed value with the same rotating speed, the maximum torque value corresponding to the rotating speed value with the same rotating speed, and the shaft power value corresponding to the maximum torque value.
The third module 1003 is configured to read rotation speed data, torque data, driving motor efficiency data, driving motor controller efficiency data, driving motor system efficiency data, and driving motor phase current data in the abnormal-free data, screen key information, draw and output a driving motor efficiency MAP, a driving motor controller efficiency MAP, a driving motor system efficiency MAP, a driving motor current MAP, and a driving motor rotation speed-torque-efficiency three-dimensional MAP, and add a comment for the key information to the drawn MAP.
In conclusion, the method and the device for processing the efficiency test data of the driving motor system, provided by the invention, realize automatic error correction of the original data of the efficiency test of the driving motor system for the electric automobile, ensure the accuracy of the test data and effectively reduce the labor intensity of manual selection of the error items of the original data by testers; the external characteristic data screening and automatic result output functions of the tested power assembly are realized, the working efficiency is effectively improved, and the working intensity is reduced; 5 types of test results such as a driving motor efficiency MAP graph, a controller efficiency MAP graph, a driving motor system efficiency MAP graph, a driving motor current MAP graph and a driving motor rotating speed-torque-efficiency three-dimensional graph are output simultaneously, test key data are screened and then embodied in a text box mode, the intuition of the test results is improved, and the development and type selection of the driving motor system for the electric automobile are facilitated.
It should be noted that the driving motor system mentioned in the present invention refers to a combination of the driving motor of the electric vehicle, the driving motor controller and their necessary auxiliary devices for operation. The driving motor is an electric device which converts electric energy into mechanical energy to provide driving force for the running of the vehicle, and the device also has the function of converting the mechanical energy into the electric energy; the drive motor controller is a device for controlling energy transmission between the power supply and the drive motor, and comprises a control signal interface circuit, a drive motor control circuit and a drive circuit.
It is to be understood that the disclosed embodiments of the invention are not limited to the particular structures, process steps, or materials disclosed herein but are extended to equivalents thereof as would be understood by those ordinarily skilled in the relevant arts. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting.
Reference in the specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. Thus, the appearances of the phrase "one embodiment" or "an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. An efficiency test data processing method for a drive motor system, the method comprising the steps of:
the first step is as follows: reading efficiency test original data of the driving motor system to form a seven-row number table which respectively records rotating speed data, torque data, shaft power data, driving motor efficiency data, driving motor controller efficiency data, driving motor system efficiency data and driving motor phase current data, and performing error omission correction and repeated data error correction on all data in the seven-row number table according to the rotating speed data and the torque data to obtain error-corrected abnormal data;
the second step is as follows: reading rotating speed data, torque data and shaft power data in the abnormal-free data, and obtaining external characteristic data through data screening to draw a driving motor external characteristic curve, wherein the external characteristic data comprises: the method comprises the following steps of obtaining a rotating speed value with the same rotating speed, a maximum torque value corresponding to the rotating speed value with the same rotating speed, and a shaft power value corresponding to the maximum torque value;
the third step: and reading rotating speed data, torque data, driving motor efficiency data, driving motor controller efficiency data, driving motor system efficiency data and driving motor phase current data in the abnormal-free data, screening key information, then drawing and outputting a driving motor efficiency MAP (MAP), a driving motor controller efficiency MAP, a driving motor system efficiency MAP, a driving motor current MAP and a driving motor rotating speed-torque-efficiency three-dimensional graph, and adding comments aiming at the key information on the drawn graphs.
2. The method as claimed in claim 1, wherein the step of obtaining error corrected abnormal-free data comprises the steps of:
counting the number of actual measuring points at the same rotating speed to be used as first column data of an error correction list corresponding to the abnormal-free data;
screening the maximum torque value at the same rotating speed as second row data of the error correction list;
obtaining the omission judgment standard data as the third column data of the error correction list according to the first column data and the second column data of the error correction list;
obtaining repeated recording judgment standard data according to the first row data and the second row data of the error correction list, wherein the repeated recording judgment standard data is used as the fourth row data of the error correction list;
and taking the same rotating speed value as the fifth column data of the error correction list.
3. The method of claim 2, wherein the third column of data of the error correction list is obtained by the following formula:
wherein L3 represents the third column of data of the error correction list, x represents the first preset value, L2 represents the second column of data of the error correction list, and L1 represents the first column of data of the error correction list.
4. The method of claim 2, wherein the fourth column of data of the error correction list is obtained by the following formula:
L4＝L2*y
wherein L4 represents the fourth column of data of the error correction list, L2 represents the second column of data of the error correction list, and y represents a second preset value.
5. The method of claim 1, wherein in the first step, the shaft power data is calculated by the following formula:
wherein P represents the shaft power data, M represents the torque data, and n represents the rotational speed data.
6. The method of claim 1, wherein the third step further comprises: and performing percentage conversion on the efficiency data of the driving motor, the efficiency data of the driving motor controller and the efficiency data of the driving motor system, and then performing key information screening to obtain the key information.
7. The method of claim 1, wherein the key information comprises: high efficiency interval ratio, highest efficiency, lowest efficiency, average efficiency, maximum current, minimum current, maximum torque.
8. The method of claim 1, wherein the third step further comprises: and when the three-dimensional graph of the rotating speed, the torque and the efficiency of the driving motor is drawn, the drawing of the three-dimensional graph is completed among data points by using a linear interpolation method.
9. The method of claim 1, wherein in the third step further comprising: and correspondingly annotating the key information in a text box mode on the driving motor efficiency MAP graph, the driving motor controller efficiency MAP graph, the driving motor system efficiency MAP graph, the driving motor current MAP graph and the driving motor rotating speed-torque-efficiency three-dimensional graph.
10. An efficiency test data processing apparatus for a drive motor system, the apparatus comprising:
the first module is used for reading efficiency test original data of the driving motor system, forming a seven-row number table which respectively records rotating speed data, torque data, shaft power data, driving motor efficiency data, driving motor controller efficiency data, driving motor system efficiency data and driving motor phase current data, and performing error-missing correction and repeated data error correction on all data in the seven-row number table according to the rotating speed data and the torque data to obtain abnormal-free data after error correction;
a second module, configured to read rotation speed data, torque data, and shaft power data in the abnormal-free data, and obtain external characteristic data through data screening to draw a driving-motor external characteristic curve, where the external characteristic data includes: the method comprises the following steps of obtaining a rotating speed value with the same rotating speed, a maximum torque value corresponding to the rotating speed value with the same rotating speed, and a shaft power value corresponding to the maximum torque value;
and the third module is used for reading the rotating speed data, the torque data, the driving motor efficiency data, the driving motor controller efficiency data, the driving motor system efficiency data and the driving motor phase current data in the abnormal-free data, drawing and outputting a driving motor efficiency MAP (MAP), a driving motor controller efficiency MAP, a driving motor system efficiency MAP, a driving motor current MAP and a driving motor rotating speed-torque-efficiency three-dimensional graph after screening key information, and adding comments aiming at the key information on the drawn graphs.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911224620.2A CN112907694A (en) | 2019-12-04 | 2019-12-04 | Efficiency test data processing method and device for driving motor system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911224620.2A CN112907694A (en) | 2019-12-04 | 2019-12-04 | Efficiency test data processing method and device for driving motor system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112907694A true CN112907694A (en) | 2021-06-04 |
Family
ID=76104383
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911224620.2A Pending CN112907694A (en) | 2019-12-04 | 2019-12-04 | Efficiency test data processing method and device for driving motor system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112907694A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113361835A (en) * | 2020-03-03 | 2021-09-07 | 中车时代电动汽车股份有限公司 | Method and device for evaluating comprehensive efficiency of electrically-driven product |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101706366A (en) * | 2009-11-06 | 2010-05-12 | 奇瑞汽车股份有限公司 | Drawing method of universal characteristic curve of engine |
| DE102012018343A1 (en) * | 2012-09-15 | 2014-03-20 | Audi Ag | Method for controlling electromotor of motor car e.g. pure electrical motor car, involves determining load dot by load torque and rotation speed characteristic diagram, and updating map in continuous manner during operating motor car |
| CN104462772A (en) * | 2014-11-07 | 2015-03-25 | 安徽江淮汽车股份有限公司 | Method and system for generating efficiency pulse chart of electric car drive system |
| US20150187224A1 (en) * | 2013-10-15 | 2015-07-02 | Mbfarr, Llc | Driving assessment and training method and apparatus |
| CN106357189A (en) * | 2016-10-10 | 2017-01-25 | 金龙联合汽车工业（苏州）有限公司 | Method for designing efficiency distribution of vehicle driving motor system |
| CN107479407A (en) * | 2017-05-25 | 2017-12-15 | 宝沃汽车（中国）有限公司 | Processing method, processing system and the vehicle of electric system efficiency MAP data |
| CN108674254A (en) * | 2018-05-11 | 2018-10-19 | 吉林大学 | A kind of multiaxis driving electric vehicle wheel torque distribution method based on driving energy on-line optimization |
| CN109100651A (en) * | 2018-07-27 | 2018-12-28 | 北京新能源汽车股份有限公司 | Method and device for determining performance of motor system and test equipment |
| CN109781322A (en) * | 2019-01-24 | 2019-05-21 | 上汽大众汽车有限公司 | The test method of the drive-train efficiency of new-energy automobile |
| CN110414720A (en) * | 2019-07-08 | 2019-11-05 | 中国铁道科学研究院集团有限公司 | Energy consumption optimization method, device and the intelligent management system of EMU electrical equipment |
-
2019
- 2019-12-04 CN CN201911224620.2A patent/CN112907694A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101706366A (en) * | 2009-11-06 | 2010-05-12 | 奇瑞汽车股份有限公司 | Drawing method of universal characteristic curve of engine |
| DE102012018343A1 (en) * | 2012-09-15 | 2014-03-20 | Audi Ag | Method for controlling electromotor of motor car e.g. pure electrical motor car, involves determining load dot by load torque and rotation speed characteristic diagram, and updating map in continuous manner during operating motor car |
| US20150187224A1 (en) * | 2013-10-15 | 2015-07-02 | Mbfarr, Llc | Driving assessment and training method and apparatus |
| CN104462772A (en) * | 2014-11-07 | 2015-03-25 | 安徽江淮汽车股份有限公司 | Method and system for generating efficiency pulse chart of electric car drive system |
| CN106357189A (en) * | 2016-10-10 | 2017-01-25 | 金龙联合汽车工业（苏州）有限公司 | Method for designing efficiency distribution of vehicle driving motor system |
| CN107479407A (en) * | 2017-05-25 | 2017-12-15 | 宝沃汽车（中国）有限公司 | Processing method, processing system and the vehicle of electric system efficiency MAP data |
| CN108674254A (en) * | 2018-05-11 | 2018-10-19 | 吉林大学 | A kind of multiaxis driving electric vehicle wheel torque distribution method based on driving energy on-line optimization |
| CN109100651A (en) * | 2018-07-27 | 2018-12-28 | 北京新能源汽车股份有限公司 | Method and device for determining performance of motor system and test equipment |
| CN109781322A (en) * | 2019-01-24 | 2019-05-21 | 上汽大众汽车有限公司 | The test method of the drive-train efficiency of new-energy automobile |
| CN110414720A (en) * | 2019-07-08 | 2019-11-05 | 中国铁道科学研究院集团有限公司 | Energy consumption optimization method, device and the intelligent management system of EMU electrical equipment |
Non-Patent Citations (6)
| Title |
|---|
| 张奇 等: "电动汽车用永磁同步电机特性试验设计与研究", 实验室研究与探索, vol. 34, no. 10, pages 47 - 50 * |
| 李波 等: "全电战斗车辆用电机驱动***效率测试分析", 电机与控制应用, vol. 35, no. 05, pages 36 - 38 * |
| 武小花 等: "双电机行星耦合驱动***台架试验研究", 《西华大学学报(自然科学版)》, vol. 34, no. 02, 5 March 2015 (2015-03-05), pages 54 - 57 * |
| 武小花 等: "双电机行星耦合驱动***台架试验研究", 西华大学学报(自然科学版), vol. 34, no. 02, pages 54 - 57 * |
| 焦运景 等: "基于最小二乘法的内燃机特性曲线绘制", 小型内燃机与车辆技术, vol. 47, no. 04, pages 46 - 49 * |
| 王军年 等: "电动汽车驱动电机结构参数优化设计", 交通运输工程学报, vol. 16, no. 06, pages 72 - 81 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113361835A (en) * | 2020-03-03 | 2021-09-07 | 中车时代电动汽车股份有限公司 | Method and device for evaluating comprehensive efficiency of electrically-driven product |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| DE102012207881B4 (en) | Technique for compensating an abnormal output of a resolver for an environmentally friendly vehicle | |
| CN111766080B (en) | Automobile working condition screening method, engine calibration method and system and readable storage medium | |
| CN109596350B (en) | Online monitoring method and testing platform for full life cycle of screw pair | |
| CN107450510A (en) | A kind of signal resolution method using diagnostic signal fast positioning CAN signal | |
| CN112327815A (en) | Method and device for batch testing of accuracy of data stream of automobile diagnostic instrument | |
| CN105045257A (en) | Method for diagnosing automobile fault after sale, diagnostic equipment and server | |
| CN112907694A (en) | Efficiency test data processing method and device for driving motor system | |
| CN114662954A (en) | Vehicle performance evaluation system | |
| CN108152654B (en) | Locomotive inverter open-circuit fault online diagnosis method based on voltage analysis | |
| CN113378359B (en) | Method and device for evaluating oil consumption of engine and transmission efficiency of whole vehicle | |
| CN104424064A (en) | Diagnostic test method, diagnostic device and diagnostic system | |
| CN113066198B (en) | Method and device for evaluating vehicle accelerating performance after uniform speed running | |
| CN113918890A (en) | Low-load working condition construction method based on moving window library | |
| CN111721972A (en) | Method and device for verifying rotation speed measured value of electrically-driven gearbox | |
| CN207730446U (en) | The life test apparatus of robot precision cycloid decelerator | |
| CN110018427A (en) | A kind of battery health of electric automobile appraisal procedure based on travelling data | |
| CN116847004B (en) | Analysis method, system and computer equipment for automobile CAN signals | |
| CN115962962A (en) | Method for testing and evaluating working condition efficiency of electric drive assembly of equivalent whole vehicle | |
| CN113177291A (en) | Electric vehicle efficacy analysis method and system based on cloud data platform | |
| CN116820821A (en) | Disk failure detection method, apparatus, electronic device and computer readable storage medium | |
| CN113066197B (en) | Method and device for evaluating constant-speed running performance of vehicle | |
| CN115862756A (en) | Catalyst performance evaluation method and device, medium and electronic equipment | |
| CN114386276A (en) | Diesel engine emission oil consumption simulation calculation method | |
| CN115290317A (en) | Industrial robot speed reducer health state assessment method based on multi-source information fusion | |
| CN113761103A (en) | Batch data processing method and device and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |