Method and device for dynamically adjusting external resistance test of intelligent driving system of locomotive
By constructing a resistance model calibration library and dynamically adjusting the external resistance test of the locomotive intelligent driving system, the problem of deviation between the simulation model and the actual resistance was solved, achieving more accurate simulation testing and more comprehensive system verification.
Patent Information
- Application Number
- CN202311187953.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-14
- Publication Date
- 2025-11-25
- Estimated Expiration
- 2043-09-14
AI Technical Summary
In existing technologies, locomotive resistance simulation models deviate significantly from actual resistance values in laboratory environments. This results in intelligent driving systems being unable to effectively verify the traction stability and control safety of heavy-duty freight locomotives when faced with occasional external resistance, posing potential application risks.
By constructing a resistance model calibration library, determining test routes and scenarios, adjusting the output values of the locomotive resistance simulation model, and injecting calibration values to match the actual resistance on site, the external resistance test can be dynamically adjusted.
This improves the accuracy of simulation testing, making the total train resistance injected in the simulation test closer to the actual field resistance, which can better verify the control capability of the locomotive intelligent driving system and ensure safety and stability.
Smart Images

Figure CN119620633B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of simulation testing technology for intelligent driving systems for locomotives, specifically to a method and apparatus for dynamically adjusting the external resistance of an intelligent driving system for locomotives. Background Technology
[0002] Locomotive running resistance refers to the external resistance generated by the interaction between the locomotive and the external environment, which is opposite to and hinders the locomotive's movement. It is broadly divided into basic locomotive running resistance and additional locomotive running resistance. Basic locomotive running resistance refers to the resistance generated when running on flat or straight sections of track, primarily caused by internal mechanical friction, wheel-rail friction, and air resistance. Additional locomotive running resistance refers to the resistance generated when running on sections with inclines, curves, or tunnels. Additional locomotive running resistance has a very negative impact on the smooth operation and safety control of intelligent driving, especially for heavy-duty freight locomotives. In simulation tests, the total locomotive resistance F is calculated based on the locomotive resistance simulation model. 总阻力 The formula is as follows: F 总阻力 =∑F 基本阻力 +∑F 附加阻力 , of which F 基本阻力 It is the actual calculation of various basic resistances of locomotive operation, F 附加阻力 It calculates various additional resistances during locomotive operation. The calculated locomotive resistance simulation model outputs the total locomotive resistance value for use by locomotive operation simulation software.
[0003] During actual operation on railway lines, heavy-haul freight locomotives are subject to varying degrees of external environmental influences. Some of these influences can significantly impact their normal operation, such as high-speed crosswinds at curves or tailwinds on long downhill slopes. These winds affect each car of the locomotive, causing each car to experience an additional force F. i The force acting on the entire locomotive is ∑F i This will cause a deviation between the resistance value calculated by the locomotive resistance model and the actual locomotive resistance experienced during operation, which will have an adverse effect on the smooth operation of the locomotive and even safe driving.
[0004] When the deviation value ΔF is large and aligns with the locomotive's direction of travel, it can disrupt the stable operation of a heavy-haul freight locomotive in scenarios such as downhill or steep downhill sections, causing the locomotive to accelerate. In this case, whether driven manually or autonomously, it is necessary to reduce the locomotive's traction force or increase the electric braking force to suppress the speed increase. Similarly, when the deviation value ΔF is large and deviates from the locomotive's direction of travel, it can prevent the locomotive from reaching the expected speed in scenarios such as uphill or steep uphill sections, requiring additional traction force to prevent the locomotive speed from dropping too low.
[0005] This random external resistance causes a significant deviation between the resistance values calculated by the locomotive resistance simulation model in the laboratory environment and the actual resistance values in the field. This means that laboratory simulation tests cannot effectively verify the impact of occasional external resistance on the traction stability and control safety of heavy-haul freight locomotives, posing potential risks to field applications. Summary of the Invention
[0006] In view of the above problems, embodiments of the present invention provide a method and apparatus for dynamically adjusting the external resistance test of a locomotive intelligent driving system, which overcomes or at least partially solves the above problems.
[0007] According to one aspect of the present invention, a method for dynamically adjusting the external resistance test of a locomotive intelligent driving system is provided. The method includes: determining a test route and a test scenario, and selecting a resistance model calibration library corresponding to the test route and the test scenario; determining a combination sequence of calibration values at each test location on the test route according to the test route and the resistance model calibration library; and adjusting the output value of the locomotive resistance simulation model according to the combination sequence at each test location on the test route to complete the external resistance test of the test route under the test scenario.
[0008] Optionally, the test scenarios include: vehicle start-up scenario, parking scenario, recirculating air braking, safety protection, and interval operation control scenario.
[0009] Optionally, before determining the test route and test scenario, and selecting the resistance model calibration library corresponding to the test route and test scenario, the method includes: for any test route and any test scenario, acquiring field test data of the external resistance of different locomotives with different freight load configurations; determining the maximum difference between the actual resistance and the expected resistance at any test location on the test route based on the field test data; determining the resistance calibration set at the test location based on the maximum difference; and combining the resistance calibration sets at all test locations under the test route and the test scenario to obtain the resistance model calibration library corresponding to the test route and the test scenario.
[0010] Optionally, determining the maximum difference between the actual resistance and the expected resistance at any test location on the test line based on the field test data includes: for any test location on the test line, the difference between the actual resistance output by the CCU device on the locomotive at each same time and the expected resistance calculated by the locomotive intelligent driving system software installed on the locomotive; and selecting the maximum difference from the differences obtained at each time point at any test location on the test line.
[0011] Optionally, determining the resistance calibration set at the test location based on the maximum difference includes: classifying the maximum difference proportionally, wherein a first proportion of the maximum difference is used as a normal calibration value, a second proportion of the maximum difference is used as a weak calibration value, a third proportion of the maximum difference is used as a strong calibration value, and a fourth proportion and above of the maximum difference are used as particularly strong calibration values, wherein the first proportion, the second proportion, the third proportion, and the fourth proportion increase sequentially; and combining the normal calibration value, the weak calibration value, the strong calibration value, and the particularly strong calibration value to form the resistance calibration set at the test location.
[0012] Optionally, determining the combination sequence of calibration values at each test location of the test line based on the test line and the resistance model calibration library includes: determining the resistance calibration set at each test location of the test line based on the resistance model library; and selecting a calibration value from the resistance calibration set at each test location based on the test line and the test scenario to form a combination sequence of calibration values.
[0013] Optionally, the step of adjusting the output value of the locomotive resistance simulation model according to the combination sequence at each test position on the test line to complete the external resistance test of the test line under the test scenario includes: when the locomotive simulates the test along the test line to any test position, selecting a calibration value corresponding to the test position from the combination sequence; applying the locomotive resistance simulation model to calculate the total resistance of the locomotive; using the sum of the calibration value and the total resistance as the calibrated total locomotive resistance to perform locomotive simulation, thereby completing the external resistance test of the test line under the test scenario.
[0014] Based on the same inventive concept, a device for dynamically adjusting the external resistance test of a locomotive intelligent driving system is provided, comprising: a calibration library selection unit, used to determine a test line and a test scenario, and select a resistance model calibration library corresponding to the test line and the test scenario; a sequence generation unit, used to determine a combination sequence of calibration values at each test position of the test line according to the test line and the resistance model calibration library; and a testing unit, used to adjust the output value of the locomotive resistance simulation model at each test position of the test line according to the combination sequence, thereby completing the external resistance test of the test line under the test scenario.
[0015] Based on the same inventive concept, this invention also proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the aforementioned method.
[0016] Based on the same inventive concept, embodiments of the present invention also propose a computer storage medium storing at least one executable instruction that causes a processor to execute the aforementioned method.
[0017] This invention, through determining a test route and test scenario, and selecting a resistance model calibration library corresponding to the test route and test scenario; determining a combination sequence of calibration values at each test location on the test route based on the test route and the resistance model calibration library; and adjusting the output value of the locomotive resistance simulation model at each test location on the test route according to the combination sequence, thereby completing the external resistance test of the test route under the test scenario. This enables the total train resistance output after resistance calibration in the simulation test to closely approximate the actual resistance on-site, better verifying the locomotive's intelligent driving control capabilities and facilitating a more comprehensive inspection of the locomotive's intelligent driving system.
[0018] The above description is merely an overview of the technical solutions of the embodiments of the present invention. In order to better understand the technical means of the embodiments of the present invention and to implement them in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the embodiments of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description
[0019] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:
[0020] Figure 1 A flowchart illustrating the method for dynamically adjusting the external resistance test of a locomotive intelligent driving system provided in an embodiment of the present invention is shown.
[0021] Figure 2 A schematic diagram of locomotive resistance calibration according to an embodiment of the present invention is shown;
[0022] Figure 3 A schematic diagram of an external resistance testing system for a locomotive intelligent driving system according to an embodiment of the present invention is shown;
[0023] Figure 4 This invention provides a schematic diagram of the structure of a device for dynamically adjusting the external resistance testing of an intelligent driving system for locomotives, according to an embodiment of the present invention.
[0024] Figure 5 A schematic diagram of an electronic device according to an embodiment of the present invention is shown. Detailed Implementation
[0025] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
[0026] Figure 1 A flowchart illustrating the method for testing the external resistance of a dynamically adjustable intelligent driving system for locomotives, as provided in an embodiment of the present invention, is shown. Figure 1 As shown, the method for dynamically adjusting the external resistance test of the locomotive intelligent driving system is applied to the locomotive intelligent driving system, including:
[0027] Step S11: Determine the test line and test scenario, and select the resistance model calibration library corresponding to the test line and test scenario.
[0028] The test scenarios include: start-up, parking, recirculating air braking, safety protection, and section operation control. Before step S11, a resistance model calibration library is built based on the test scenarios for either the actual track mode or a custom mode. When using the custom mode, the entire track is treated as a whole, and the same calibration value ΔF is set for the entire track. i It can generate a resistance model calibration library in four categories. When using actual route data analysis, corresponding ΔF values are set for locations with significant actual deviations along the entire route. i Values are used to create a resistance model calibration library that closely approximates real-world operating conditions; different ΔF values can also be set for offline data sections with gradients greater than or equal to ±0.4%, curve radii less than 800, bridges, and tunnels, according to testing requirements. i The values form a calibration library of different combined resistance models for the entire line.
[0029] In this embodiment of the invention, for any test route and any test scenario, field test data of the external resistance of different locomotives with different freight load configurations are obtained; based on the field test data, the maximum difference between the actual resistance and the expected resistance at any test location on the test route is determined; based on the maximum difference, a resistance calibration set at the test location is determined; and by combining the resistance calibration sets at all test locations under the test route and the test scenario, a resistance model calibration library corresponding to the test route and the test scenario is obtained. The resistance model calibration library ΔFi includes four types of calibration values: ΔF i ∈{F 弱i |F 强i |F 特别强i |F 普通i}, where i is an integer from 1 to n, and n is the number of specific test track positions in the test scenario that affect the smooth operation of the locomotive. F 弱i As a general method for testing the stability of simulated field environments; F 普通i F 强i As a powerful means of testing the stability of intelligent driving systems for locomotives operating in recirculating air braking zones; and F 特别强i Testing the stability and handling limits of the intelligent driving system for locomotives.
[0030] In this embodiment of the invention, for any test location on the test line, the difference between the actual resistance output by the Central Control Unit (CCU) device on the locomotive at each same time and the expected resistance calculated by the locomotive intelligent driving system software installed on the locomotive is obtained; the maximum difference is selected from the differences obtained at each time from any test location on the test line. After obtaining the maximum difference, the values are classified proportionally according to the maximum difference. The first proportion of the maximum difference is used as the normal calibration value, the second proportion as the weak calibration value, the third proportion as the strong calibration value, and the fourth proportion and above as the extra-strong calibration value. The first, second, third, and fourth proportions increase sequentially, preferably to 10%, 20%, 50%, and 100%, respectively. The maximum range of the normal, weak, strong, and extra-strong calibration values is [-500, 500]. The normal, weak, strong, and extra-strong calibration values are combined to form the resistance calibration set at the test location.
[0031] In step S11, the corresponding resistance model calibration library is selected based on the determined test path and test scenario. This resistance model calibration library includes resistance calibration sets for each test location on the test path under the given test scenario.
[0032] Step S12: Determine the combination sequence of calibration values at each test location on the test line based on the test line and the resistance model calibration library.
[0033] In step S12, the resistance calibration set at each test location on the test line is determined according to the resistance model library; a calibration value is selected from the resistance calibration set at each test location based on the test line and the test scenario, forming a combination sequence of calibration values. If there are n test locations on the test line that affect the smooth handling of the locomotive, it indicates that there are 4 nThe combination sequence of resistance model calibrations typically involves selecting a calibration library of typical combinations during the testing process. This could involve selecting only one type from a calibration library, or choosing combinations of two or more types. For example, if the test is to perform a general simulated field environment stability function test on a locomotive at all test locations, then F can be selected at each test location on the test track. 弱i As a calibration value. Alternatively, if a force stability test is being conducted on a locomotive at certain test locations, F can be selected at those locations on the test track. 普通i As a calibration value, F is selected at some of the test locations. 强i As a calibration value.
[0034] Step S13: At each test location on the test line, adjust the output value of the locomotive resistance simulation model according to the combined sequence to complete the external resistance test of the test line under the test scenario.
[0035] In an embodiment of the invention, optionally, when the locomotive simulates the test along the test line to any position to be tested, a calibration value corresponding to the position to be tested is selected from the combination sequence; the total resistance of the locomotive is calculated using a locomotive resistance simulation model; the sum of the calibration value and the total resistance is used as the calibrated total locomotive resistance for locomotive simulation, thus completing the external resistance test of the test line under the test scenario. Figure 2 As shown, the locomotive resistance simulation model calculates the locomotive resistance F. 总阻力 Then, the calibration value ΔF from the resistance model calibration library is used. i With F 总阻力 Perform arithmetic addition and subtraction to calculate the calibrated total locomotive resistance F'. 总阻力 It is transmitted to the locomotive operation simulation software.
[0036] F' 总阻力 =F 总阻力 +ΔF i
[0037] In an embodiment of the present invention, the external resistance testing system for the intelligent driving system of a locomotive is as follows: Figure 3 As shown, it consists of locomotive simulation software, driver's console simulation software, testing equipment, and the unit under test. The locomotive simulation software is based on the calibrated total locomotive resistance F'. 总阻力The traction / electric braking force is output to the driver's console simulation software, which then outputs operating conditions, levels, and force information to the unit under test (DUT), including the intelligent driving control unit and the human-machine interface unit. The test equipment acquires the DUT's test information and performs locomotive simulation testing. The locomotive simulation software and the driver's console simulation software exchange Ethernet communication information with test equipment, including LKJ portable devices, CCU devices, and network devices. The test equipment and the DUT can exchange Ethernet and Multifunction Vehicle Bus (MVB) communication information.
[0038] In this embodiment of the invention, once the requirements of the test scenario and calibration library are determined, such as a strong-strong combination, the calibration value of the resistance model is set according to the requirements. When the simulation test reaches the i-th test position, the i-th calibration value in the current combination sequence of the resistance model calibration library is applied to adjust the output value of the locomotive resistance simulation model. This step is repeated until all combination sequences of resistance model calibrations for the selected test scenario in this round of testing are completed. Then, the simulation test is stopped, and the test data is downloaded. This completes one test process.
[0039] The method for testing the external resistance of a locomotive intelligent driving system according to embodiments of the present invention constructs a resistance model calibration library and applies the combination sequences in this library during testing. This enables the total train resistance output after resistance calibration in the simulation test to closely approximate the actual resistance in the field. Based on this, a robustness test for train smooth handling under extreme conditions can be constructed, thereby allowing the locomotive intelligent driving system to better verify its intelligent driving control capabilities, enriching the testing scenarios for the locomotive intelligent driving system, and providing a more comprehensive evaluation of the system.
[0040] In summary, the method for dynamically adjusting the external resistance test of the locomotive intelligent driving system according to the embodiments of the present invention determines the test line and test scenario, and selects a resistance model calibration library corresponding to the test line and test scenario; determines a combination sequence of calibration values at each test position on the test line according to the test line and the resistance model calibration library; and adjusts the output value of the locomotive resistance simulation model according to the combination sequence at each test position on the test line to complete the external resistance test of the test line under the test scenario. This method enables the total train resistance output after resistance calibration in the simulation test to closely approximate the actual resistance on site, better verifying the locomotive intelligent driving control capability and facilitating a more comprehensive inspection of the locomotive intelligent driving system.
[0041] The foregoing has described specific embodiments of the present invention. In some cases, the actions or steps described in the embodiments of the present invention may be performed in a different order than that shown in the embodiments and the desired results may still be achieved. Furthermore, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0042] Based on the same concept, this invention also provides a device for dynamically adjusting the external resistance of a locomotive intelligent driving system. It is applied to a locomotive intelligent driving system. (See attached document.) Figure 4 As shown, the device for testing the external resistance of the intelligent driving system of a locomotive dynamically adjusts includes: a calibration library selection unit, a sequence generation unit, and a testing unit. Among them,
[0043] The calibration library selection unit is used to determine the test line and test scenario, and select the resistance model calibration library corresponding to the test line and the test scenario; the sequence generation unit is used to determine the combination sequence of calibration values at each test position of the test line according to the test line and the resistance model calibration library; the testing unit is used to adjust the output value of the locomotive resistance simulation model at each test position of the test line according to the combination sequence, and complete the external resistance test of the test line under the test scenario.
[0044] For ease of description, the above devices are described in terms of function, divided into various modules. Of course, in implementing the embodiments of the present invention, the functions of each module can be implemented in one or more software and / or hardware.
[0045] The apparatus of the above embodiments is applied to the corresponding methods in the foregoing embodiments and has the beneficial effects of the corresponding method embodiments, which will not be repeated here.
[0046] Based on the same inventive concept, embodiments of the present invention also provide an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the method described in any of the above embodiments.
[0047] This invention provides a non-volatile computer storage medium storing at least one executable instruction that can execute the method described in any of the above embodiments.
[0048] Figure 5This embodiment illustrates a more specific hardware structure of an electronic device, which may include a processor 501, a memory 502, an input / output interface 503, a communication interface 504, and a bus 505. The processor 501, memory 502, input / output interface 503, and communication interface 504 are interconnected internally via the bus 505.
[0049] The processor 501 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present invention.
[0050] The memory 502 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 502 can store the operating system and other application programs. When the technical solution provided by the method embodiment of the present invention is implemented by software or firmware, the relevant program code is stored in the memory 502 and is called and executed by the processor 501.
[0051] Input / output interface 503 is used to connect input / output modules to realize information input and output. Input / output modules can be configured as components in the device (not shown in the figure) or externally connected to the device to provide corresponding functions. Input devices may include keyboards, mice, touch screens, microphones, various sensors, etc., and output devices may include displays, speakers, vibrators, indicator lights, etc.
[0052] Communication interface 504 is used to connect a communication module (not shown in the figure) to enable communication between this device and other devices. The communication module can communicate via wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).
[0053] Bus 505 includes a pathway for transmitting information between various components of the device (e.g., processor 501, memory 502, input / output interface 503, and communication interface 504).
[0054] It should be noted that although the above-described device only shows the processor 501, memory 502, input / output interface 503, communication interface 504, and bus 505, in specific implementations, the device may also include other components necessary for normal operation. Furthermore, those skilled in the art will understand that the above-described device may only include the components necessary for implementing the embodiments of the present invention, and does not necessarily include all the components shown in the figures.
[0055] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of this disclosure is limited to these examples; within the framework of this disclosure, the technical features of the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present invention as described above, which are not provided in detail for the sake of brevity.
[0056] This application is intended to cover all such substitutions, modifications, and variations that fall within the broad scope of all embodiments. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the embodiments of this invention should be included within the protection scope of this disclosure.
Claims
1. A method for dynamically adjusting the external resistance of a locomotive intelligent driving system, characterized in that, The method includes: Determine the test route and test scenario, and select the resistance model calibration library corresponding to the test route and test scenario; Determine the combination sequence of calibration values at each test location on the test line based on the test line and the resistance model calibration library; At each test location on the test line, the output value of the locomotive resistance simulation model is adjusted according to the combined sequence to complete the external resistance test of the test line under the test scenario. Before determining the test line and test scenario, and selecting the resistance model calibration library corresponding to the test line and test scenario, the process includes: For any test line and any test scenario, To obtain field test data on the external resistance of different locomotives with different freight load configurations; Based on the field test data, determine the maximum difference between the actual resistance and the expected resistance at any test location on the test line; The resistance calibration set at the location to be measured is determined based on the maximum difference. By combining the resistance calibration sets of all the test locations under the test line and the test scenario, a resistance model calibration library corresponding to the test line and the test scenario is obtained; The step of determining the resistance calibration set at the location to be measured based on the maximum difference includes: The maximum difference is classified proportionally, wherein the first proportion of the maximum difference is used as the normal calibration value, the second proportion of the maximum difference is used as the weak calibration value, the third proportion of the maximum difference is used as the strong calibration value, and the fourth proportion and above of the maximum difference are used as the extra strong calibration value, with the first proportion, the second proportion, the third proportion and the fourth proportion increasing sequentially. The common calibration value, the weak calibration value, the strong calibration value, and the particularly strong calibration value are combined to form the resistance calibration set at the location to be measured; The weak calibration value is a general simulation of the stability function test in the field environment; the ordinary calibration value and the strong calibration value are powerful stability test methods for the intelligent driving system of locomotives in the recirculating air braking range; the special strong calibration value is for testing the stability control limits of the intelligent driving system of locomotives.
2. The method according to claim 1, characterized in that, The test scenarios include: vehicle start-up scenario, parking scenario, recirculating air braking, safety protection, and interval operation control scenario.
3. The method according to claim 1, characterized in that, The step of determining the maximum difference between the actual resistance and the expected resistance at any test location of the test line based on the field test data includes: For any test location on the test line, the difference between the actual resistance output by the CCU device on the locomotive at the same time and the expected resistance calculated by the locomotive intelligent driving system software installed on the locomotive. The maximum difference is selected from the differences obtained at various times at any test location of the test line.
4. The method according to claim 1, characterized in that, The step of determining the combination sequence of calibration values at each test location on the test line based on the test line and the resistance model calibration library includes: The resistance calibration set at each test location of the test line is determined based on the resistance model calibration library. Based on the test line and the test scenario, a calibration value is selected from the resistance calibration set at each test location to form a combination sequence of calibration values.
5. The method according to claim 1, characterized in that, The step involves adjusting the output value of the locomotive resistance simulation model at each test location on the test track according to the combined sequence, thereby completing the external resistance test of the test track under the test scenario. This includes: When the locomotive simulates the test along the test line to any position to be tested, a calibration value corresponding to the position to be tested is selected from the combination sequence. The total resistance of a locomotive is calculated using a locomotive resistance simulation model. Using the sum of the calibration value and the total resistance as the calibrated total locomotive resistance, locomotive simulation is performed to complete the external resistance test of the test line under the test scenario.
6. A device for dynamically adjusting the external resistance of a locomotive intelligent driving system, characterized in that, The device includes: The calibration library selection unit is used to determine the test line and test scenario, and select the resistance model calibration library corresponding to the test line and test scenario; A sequence generation unit is used to determine a combined sequence of calibration values at each test location on the test line based on the test line and the resistance model calibration library. The testing unit is used to adjust the output value of the locomotive resistance simulation model at each test position on the test line according to the combined sequence, so as to complete the external resistance test of the test line under the test scenario. Before determining the test line and test scenario, and selecting the resistance model calibration library corresponding to the test line and test scenario, the process includes: For any test line and any test scenario, To obtain field test data on the external resistance of different locomotives with different freight load configurations; Based on the field test data, determine the maximum difference between the actual resistance and the expected resistance at any test location on the test line; The resistance calibration set at the location to be measured is determined based on the maximum difference. By combining the resistance calibration sets of all the test locations under the test line and the test scenario, a resistance model calibration library corresponding to the test line and the test scenario is obtained; The step of determining the resistance calibration set at the location to be measured based on the maximum difference includes: The maximum difference is classified proportionally, wherein the first proportion of the maximum difference is used as the normal calibration value, the second proportion of the maximum difference is used as the weak calibration value, the third proportion of the maximum difference is used as the strong calibration value, and the fourth proportion and above of the maximum difference are used as the extra strong calibration value, with the first proportion, the second proportion, the third proportion and the fourth proportion increasing sequentially. The common calibration value, the weak calibration value, the strong calibration value, and the particularly strong calibration value are combined to form the resistance calibration set at the location to be measured; The weak calibration value is a general simulation of the stability function test in the field environment; the ordinary calibration value and the strong calibration value are powerful stability test methods for the intelligent driving system of locomotives in the recirculating air braking range; the special strong calibration value is for testing the stability control limits of the intelligent driving system of locomotives.
7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method as described in any one of claims 1-5.
8. A computer storage medium, characterized in that, The storage medium stores at least one executable instruction that causes the processor to perform the method as described in any one of claims 1-5.
Citation Information
Patent Citations
Driving resistance control method, device and system for vehicle bench test
CN109084994A
Vehicle driving control method, device and automatic driving equipment
CN111038476A