Rail transit traction transmission system simulation method and device

Abstract

The application provides a rail transit traction transmission system simulation method and device, and solves the problems of large calculation error, long experiment time and high experiment cost in the existing method for calculating and evaluating the train running performance and the working state of the traction transmission system. The rail transit traction transmission system simulation method comprises the following steps: step 01: obtaining train running environment parameters, obtaining train running state parameters based on the running environment parameters, and obtaining a preset number of sampling points according to a preset time step; step 02: receiving a calculation mode instruction and a control mode instruction, matching a calculation mode and a control mode based on the calculation mode instruction and the motor control mode instruction; step 03: obtaining performance parameters of the sampling points by using the calculation mode based on the train running state parameters and the control mode; and step 04: judging whether the sampling point is the last sampling point, and if not, repeating steps 03-04.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of rail transit technology, and in particular to a rail transit traction transmission system simulation method and device. BACKGROUND

[0002] In recent years, in the field of rail transit industry or smart city development, green and low-carbon travel has become a major theme after safe travel. The performance and working state of the rail transit traction transmission system largely determine the calculation and evaluation of train operation energy consumption. Before the train is formally put into operation, the train operation performance and the working state of the traction transmission system need to be calculated and evaluated. However, the existing method for calculating and evaluating the train operation performance and the working state of the traction transmission system often ignores the harmonic characteristics in the working process of the equipment, and does not consider the influence of the actual control strategy on the system and equipment performance, resulting in large calculation error, and problems of long experimental time and high experimental cost. SUMMARY

[0003] Therefore, the embodiments of the present application provide a rail transit traction transmission system simulation method and device, which solve the problems of large calculation error, long experimental time and high experimental cost in the existing method for calculating and evaluating the train operation performance and the working state of the traction transmission system.

[0004] An embodiment of the present application provides a rail transit traction transmission system simulation method, which comprises the following steps: step 01: obtaining train operation environment parameters, obtaining train operation state parameters based on the operation environment parameters, and obtaining a preset number of sampling points according to a preset time step; step 02: receiving a calculation mode instruction and a control mode instruction, and matching a calculation mode and a control mode based on the calculation mode instruction and the control mode instruction; step 03: obtaining performance parameters of the sampling points by using the calculation mode based on the train operation state parameters and the control mode; and step 04: determining whether the sampling point is the last sampling point, and if not, repeating steps 03-04.

[0005] In an embodiment, the step of obtaining train operation environment parameters and obtaining train operation state parameters based on the operation environment parameters comprises: obtaining the line conditions of the train; and obtaining the force of train section operation and the speed of train section operation based on the line conditions.

[0006] In an embodiment, the calculation mode comprises at least one of a fundamental wave calculation mode and a harmonic calculation mode.

[0007] In an embodiment, the control mode comprises at least one of a motor control mode, a rectifier control mode and an inverter control mode.

[0008] In an embodiment, the step of obtaining the performance parameters of the sampling point based on the train running state parameters and the control mode using the calculation mode comprises: obtaining the output parameters of the traction motor based on the train running state parameters; obtaining the output parameters of the inverter based on the output parameters of the traction motor; obtaining the output parameters of the intermediate circuit based on the output parameters of the inverter; and obtaining the output parameters of the grid-side circuit based on the calculation input parameters of the intermediate circuit.

[0009] In an embodiment, the calculation mode comprises a fundamental wave calculation mode, and the step of obtaining the performance parameters of the sampling point based on the train running state parameters and the control mode using the calculation mode comprises: obtaining the performance parameters of the sampling point based on the train running state parameters and the control mode using the fundamental wave calculation mode; and the step of obtaining the performance parameters of the sampling point based on the train running state parameters and the control mode using the fundamental wave calculation mode comprises: converting the speed of the train running in the section into the rotating speed, and converting the force of the train running in the section into the torque; obtaining the motor operating characteristic point parameters based on the rotating speed, the torque and the control mode; determining the motor characteristic working condition section of the rotating speed based on the motor operating characteristic point parameters, and calculating the first performance parameters of the motor in the working condition section; obtaining the second performance parameters of the motor based on the equivalent circuit of the motor; and obtaining the third performance parameters of the motor based on the second performance parameters.

[0010] In an embodiment, the calculation mode comprises a harmonic wave calculation mode, and the step of obtaining the performance parameters of the sampling point based on the train running state parameters and the control mode using the calculation mode comprises: obtaining the performance parameters of the sampling point based on the train running state parameters and the control mode using the harmonic wave calculation mode; and the step of obtaining the performance parameters of the sampling point based on the train running state parameters and the control mode using the harmonic wave calculation mode comprises: converting the speed of the train running in the section into the rotating speed, and converting the force of the train running in the section into the torque; obtaining the motor operating characteristic point parameters based on the rotating speed, the torque and the control mode; determining the motor characteristic working condition section of the rotating speed based on the motor operating characteristic point parameters, and calculating the fourth performance parameters of the motor in the working condition section, the fourth performance parameters comprising the stator operating frequency; obtaining the stator voltage value of the motor in the next period of the operating frequency point based on the stator operating frequency and the motor control mode; performing frequency transformation calculation on the stator voltage value to obtain the frequency domain voltage value; obtaining the motor frequency domain electrical flow parameters based on the frequency domain relationship of the motor electrical quantities and the frequency voltage value; performing inverse fast Fourier transformation on the motor frequency domain electrical flow parameters to obtain the time domain electrical quantity parameters of the motor, and reconstructing the waveform based on the time domain electrical quantity parameters of the motor.

[0011] In an embodiment, before the step of obtaining the performance parameter of the sampling point based on the vehicle running state parameter and the control mode by using the calculation mode, the method further comprises: automatically matching a power supply mode; and the step of obtaining the performance parameter of the sampling point based on the vehicle running state parameter and the control mode by using the calculation mode comprises: obtaining the performance parameter of the sampling point based on the power supply mode instruction, the vehicle running state parameter and the control mode by using the calculation mode.

[0012] The simulation device comprises: an acquisition module, configured to acquire a train running environment parameter, obtain a train running state parameter based on the running environment parameter, and acquire a preset number of sampling points according to a preset time step; a selection module, configured to receive a calculation mode instruction and a control mode instruction, and match a calculation mode and a control mode based on the calculation mode instruction and the control mode instruction; a calculation module, configured to obtain a performance parameter of a sampling point based on the vehicle running state parameter and the control mode by using the calculation mode; and a judgment module, configured to judge whether the sampling point is a last sampling point.

[0013] In an embodiment, the calculation module is further configured to: obtain an output parameter of a traction motor based on the train running state parameter; obtain an output parameter of the inverter based on the output parameter of the traction motor; obtain an output parameter of the intermediate circuit based on the output parameter of the inverter; and obtain an output parameter of the grid-side circuit based on the output parameter of the intermediate circuit.

[0014] An electronic device comprises a memory and a processor, the memory is configured to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the simulation method of the rail transit traction drive system.

[0015] A computer readable storage medium, the computer readable storage medium stores a computer program, the computer program is executed by a processor to implement the simulation method of the rail transit traction drive system.

[0016] The simulation method and device of the rail transit traction drive system provided by the embodiments of the present application have the following advantages compared with the prior art.

[0017] 1. The train running environment, control algorithm and detailed mechanism model of key equipment are all modeled and calculated in the present application, and compared with the key equipment efficiency model, the method proposed in the present application more accurately reflects the working state of the traction system in the train running process, and provides a guarantee for the key equipment and the whole vehicle running performance evaluation.

[0018] 2、The simulation method based on reverse deduction calculation of the topological structure of the rail transit traction transmission system is proposed, and the key equipment characteristics of the traction transmission system are calculated from the train operation characteristics.

[0019] 3、The time domain fundamental wave calculation and the harmonic calculation in the time domain and the frequency domain can switch the calculation modes according to different calculation requirements, the simulation accuracy is ensured, the simulation calculation efficiency is greatly improved, and the problem of low real-time simulation efficiency is solved.

[0020] 4、The traction transmission system parameter calculation and performance evaluation applicable to different rail transit systems of machines, vehicles and cities are proposed, which plays an important role in the pre-evaluation and calculation of the system performance before the traction system design and the formal operation of the train, and the method can be applied to other similar topological structure electromechanical systems. BRIEF DESCRIPTION OF DRAWINGS

[0021] Figure 1 Fig. 1 is a flow chart of a rail transit traction transmission system simulation method provided by an embodiment of the present application.

[0022] Figure 2 Fig. 2 is a flow chart of a rail transit traction transmission system simulation method provided by another embodiment of the present application.

[0023] Figure 3 Fig. 3 is a flow chart of a method for obtaining performance parameters of a sampling point by using a time domain fundamental wave calculation mode provided by another embodiment of the present application.

[0024] Figure 4 Fig. 4 is a flow chart of a method for obtaining performance parameters of a sampling point by using a time domain harmonic calculation mode provided by another embodiment of the present application.

[0025] Figure 5 Fig. 5 is a structural schematic diagram of a rail transit traction transmission system simulation device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0027] Before the train is put into operation formally, the train running performance and the working state of the traction transmission system need to be calculated and performance evaluated. There are two kinds of conventional calculation and performance evaluation methods. The first kind is to take the traction transmission system or components as an efficiency model with constant value from the whole vehicle level. The other kind is to obtain the special working condition points of the equipment, to test or semi-physical simulation test the single traction system equipment (such as motor, inverter, etc.), to obtain the electrical parameters (such as voltage, current, etc.) of the equipment at the special working condition points through the test, and to evaluate the overall running performance of the traction system or equipment. The first kind of efficiency equivalent calculation method ignores the transient characteristics in the working process of the equipment, and at the same time, the calculation error is large because the actual control strategy is not considered to affect the performance of the system / equipment. The second kind of experimental method can truly reflect the working state of the equipment at the special working condition points, but if the running state of the traction system at all time periods is evaluated at one time, the experimental time and cost are large.

[0028] In order to solve the above problems, some people propose to establish a motor control algorithm model, a switching element and inverter model and a motor finite element model, integrate the motor control algorithm model, the switching element and inverter model and the motor finite element model to establish a joint simulation model of motor control, perform joint simulation, and collect relevant data to calculate the loss of the switching element. This method can realize joint calculation of motor and inverter, but the finite element modeling calculation is low in efficiency and depends on the third-party software. Or some people propose a power traction simulation software based on asynchronous motor vector calculation, which can accurately calculate various dynamic and electrical parameters of the train running on the actual line, which affect the important dynamic performance indexes such as average acceleration, deceleration, speed, average travel speed, etc. This method introduces the train running state as input, but is only applicable to asynchronous motor and cannot be applied to the evaluation of the whole traction transmission system, and the evaluation of the running performance of the traction system and the whole vehicle is insufficient. In addition, some people propose to obtain the sequences of operating gears and running speeds from the offline machine operation original data, to construct a machine traction calculation model through the reverse fitting method, and to verify the accuracy of the model through the forward verification method. In the construction of the machine traction calculation model, the machine traction force and the braking force are obtained based on the machine log record, the additive resistance is obtained according to the LKJ basic data or the line construction data, and then the corresponding sequence between the speed and the force is obtained according to the calculation formula, and the machine traction calculation model is constructed through fitting. This method proposes a train traction calculation, but the focus is on the kinematic calculation of the whole vehicle, and the proposed method is used for optimizing the kinematic model of the train.

[0029] Therefore, in order to solve the effectiveness of the traction key equipment calculation and the system of the whole vehicle traction system simulation calculation, the application provides a rail transit traction transmission system simulation method and device, and the specific implementation is as follows.

[0030] The embodiment provides a rail transit traction transmission system simulation method, as shown in the figure, the method comprises the following steps: Figure 1

[0031] Step 01: Obtain the train running environment parameters, obtain the train running state parameters based on the running environment parameters, and obtain a preset number of sampling points according to a preset time step.

[0032] Optionally, the train running environment parameters comprise train running line conditions and the like; the train running state parameters comprise kinematics calculation parameters such as train interval running force and speed. First, the line conditions of the train are obtained, the train interval running force and speed and the like are calculated based on the line conditions, and then the calculation time step can be used for sampling output. The number of sampling points of a single interval is not limited by the application.

[0033] Step 02: Receive a calculation mode instruction and a control mode instruction, and match the calculation mode and the control mode based on the calculation mode instruction and the control mode instruction. The user can select the calculation mode and the control mode of the device according to the demand for calculation accuracy and timeliness.

[0034] Optionally, the calculation mode comprises at least one of a fundamental wave calculation mode and a fast calculation mode, wherein the fundamental wave calculation mode is selected when high effectiveness is pursued, and the harmonic calculation mode is selected when high accuracy is pursued.

[0035] Optionally, the device comprises at least one of a rail transit vehicle traction system motor, an inverter, an intermediate circuit and a grid-side circuit.

[0036] Optionally, the control mode comprises at least one of a motor control mode, a rectifier control mode and an inverter control mode.

[0037] This step solves the problem of different control modes bringing different problems to the traction system device calculation, and the control algorithm can be flexibly selected or configured according to different requirements.

[0038] Step 03: Obtain the performance parameters of the sampling points by using the calculation mode based on the train running state parameters and the control mode. The speed and force of the train running at the sampling points are obtained through the train running environment parameters obtained in step 01, the speed of the train running is converted into the rotating speed, the force of the train running is converted into the torque, the converted rotating speed and torque are input into the simulation system, the performance parameters of the sampling points are calculated, and the train performance evaluation results based on the performance parameters are obtained.​

[0039] As Figure 2 shown, the step of inputting the converted rotational speed and torque into the simulation system to calculate the performance parameters and performance evaluation of the sampling point includes:

[0040] Step 031: obtaining the output parameters of the traction motor based on the train running state parameters. The output parameters of the traction motor are obtained based on the input rotational speed and torque. The rotational speed and torque are input into the traction system motor model, and the traction system motor model calculates the output parameters of the traction motor according to the rotational speed and torque.

[0041] Optionally, the output parameters of the traction motor include motor stator voltage, stator current, motor total harmonic distortion, motor iron loss power, copper loss power, motor efficiency, temperature rise, power factor and the like.

[0042] Step 032: obtaining the output parameters of the inverter based on the output parameters of the traction motor. The stator voltage and current of the traction motor obtained in step 031 are input into the inverter model as input parameters, and the inverter model combines the motor inverter combination mode (i.e. combination between car control, frame control and shaft control) to calculate the output parameters of the inverter.

[0043] Optionally, the output parameters of the inverter include inverter switching loss power, temperature rise, switching current, inverter input current and voltage and the like.

[0044] Step 033: obtaining the output parameters of the intermediate circuit based on the output parameters of the inverter. The inverter input current obtained in step 032 is combined to calculate the intermediate circuit topology, and the output parameters of the intermediate circuit are calculated. In the alternating current power supply mode, the intermediate circuit contains a secondary filter circuit and a network side circuit.

[0045] Optionally, the output parameters of the intermediate circuit include voltage, current, reactor loss, temperature rise and the like.

[0046] Step 034: obtaining the output parameters of the network side circuit based on the output parameters of the intermediate circuit.

[0047] Step 04: determining whether the sampling point is the last sampling point, if not, repeating steps 03-04. After the performance parameter calculation and performance evaluation of a sampling point are completed, it is determined whether the sampling point is the last sampling point. If the sampling point is the last sampling point, the train running interval simulation is performed, and the calculation result is output and the process is ended. If the sampling point is not the last sampling point, the process jumps to step 03 to start the loop calculation until the calculation of all sampling points is completed.

[0048] In an embodiment of the present application, as Figure 3As shown, taking asynchronous motor as an example, the method for obtaining performance parameters of sampling points by using time-domain fundamental wave calculation mode comprises the following steps:

[0049] Step 0011: converting the speed of the train in the section into rotating speed and converting the force of the train in the section into torque. The rotating speed and torque corresponding to the speed and force of the train in the section can be calculated by querying the motor rotating speed-iron loss-mechanical loss-additional loss power table.

[0050] Step 0012: obtaining motor operating characteristic point parameters based on the rotating speed, the torque and the control mode selected before simulation calculation. Optionally, the motor operating characteristic point parameters comprise motor flux of constant voltage inflection point.

[0051] Step 0013: determining the motor characteristic working condition section of the rotating speed and calculating the first performance parameters of the motor in the working condition section based on the motor operating characteristic point parameters. Based on the motor operating characteristic point parameters, it is determined in which working condition section of motor characteristics the current rotating speed works, and the section comprises constant flux-constant torque, weak magnetic flux-constant torque and weak magnetic flux-constant power. The first performance parameters comprise motor stator operating frequency, slip frequency, slip rate and other parameters in the working condition.

[0052] Step 0014: obtaining the second performance parameters of the motor based on the equivalent circuit of the motor. The second performance parameters comprise motor parameters such as electronic voltage and current.

[0053] Step 0015: obtaining the third performance parameters of the motor based on the second performance parameters. The third performance parameters comprise operating performance parameters such as temperature rise, efficiency and power factor.

[0054] The embodiment only describes the time-domain fundamental wave calculation method by taking asynchronous motor as an example. The time-domain fundamental wave calculation methods of other traction devices are basically consistent with the calculation idea of the above motor time-domain fundamental wave, and thus will not be described herein.

[0055] The time-domain fundamental wave calculation method described in the embodiment is calculated in time domain, and the calculation speed is fast.

[0056] In an embodiment of the present application, as shown in Figure 4 Compared with the calculation method of the fundamental wave, the harmonic calculation mode combines the working characteristics of the device in time domain and frequency domain, and through the conversion of the "time domain-frequency domain-time domain" calculation process, the influence of harmonics on the performance of the device in the train running process can be effectively calculated. Taking the calculation mode of asynchronous motor as an example, the harmonic calculation mode combining time domain and frequency domain is described.

[0057] Step 0021: convert the speed of the train section into the rotating speed, and convert the force of the train section into the rotating torque. The rotating speed and the rotating torque corresponding to the speed and the force of the train section can be calculated by querying the motor rotating speed-iron loss-mechanical loss-additional loss power table, and the motor electromagnetic torque under the rotating speed and the rotating torque can be calculated.

[0058] Step 0022: obtain the motor operating characteristic point parameters based on the rotating speed, the rotating torque and the control mode selected before the simulation calculation.

[0059] Step 0023: determine the motor characteristic working condition section of the rotating speed and calculate the fourth performance parameters of the motor under the working condition section based on the motor operating characteristic point parameters. Based on the motor flux under the constant voltage inflection point, it is determined that the current rotating speed works in which working condition section of the motor characteristic, and the section includes: constant flux-constant torque, weak magnetic-constant torque, weak magnetic-constant power. The fourth performance parameters include the stator operating frequency, the slip frequency, the slip rate and other parameters of the motor under the working condition.

[0060] Step 0024: take the stator operating frequency calculated in step 0023 as the input, and calculate the stator voltage value corresponding to the motor operating frequency point in the next period based on the selected motor control mode.

[0061] Step 0025: calculate the frequency domain voltage value by frequency transformation on the stator voltage value.

[0062] Step 0026: obtain the motor frequency domain electric current parameters based on the frequency domain relationship of the motor electrical quantities and the frequency domain voltage value.

[0063] Step 0027: obtain the motor time domain electrical quantity parameters by inverse fast Fourier transformation on the motor frequency domain electrical current parameters, and reconstruct the waveform based on the motor time domain electrical quantity parameters. This embodiment only takes the asynchronous motor calculation as an example to describe the harmonic calculation method, and the harmonic calculation methods of other traction devices basically maintain the same as the above-mentioned motor harmonic calculation idea, and thus will not be described here.

[0064] The calculation method combining time domain and frequency domain provided in this embodiment can avoid the difficulty of differential calculation on one hand, and can quickly and intuitively obtain the harmonic components in the signal by solving the intermediate quantities in the frequency domain, thereby providing input quantities for the calculation of the performance evaluation parameters such as the harmonic distortion and the harmonic loss of the equipment, and the consideration of the harmonic components makes the calculation result more accurate.

[0065] In an embodiment of the present application, before the step of obtaining the performance parameter of the sampling point based on the vehicle running state parameter and the control mode by using the calculation mode in step 03, the method further comprises: receiving a power supply mode instruction; and the step of obtaining the performance parameter of the sampling point based on the vehicle running state parameter and the control mode by using the calculation mode comprises: obtaining the performance parameter of the sampling point based on the power supply mode instruction, the vehicle running state parameter and the control mode by using the calculation mode. Different power supply systems contain different devices, for example, a direct current power supply system does not contain a grid side rectifier module, while an alternating current power supply mode contains a grid side rectifier module, and the intermediate circuit main circuit model has a secondary filter circuit, so the performance parameters of the key devices of the train need to be calculated in combination with the power supply system of the train before calculation, so that the calculation is more accurate.

[0066] The embodiment provides a rail transit traction drive system simulation device 100, as shown in the figure, comprising an acquisition module 10, a selection module 20, a calculation module 30 and a judgment module 40. Figure 5

[0067] The acquisition module 10 is used for acquiring a train running environment parameter, obtaining a train running state parameter based on the running environment parameter, and acquiring a preset number of sampling points according to a preset time step. Optionally, the train running environment parameter comprises a train running line condition, etc.; and the train running state parameter comprises a train interzone running force, speed, etc. The acquisition module 10 mainly comprises a running line modeling, a train modeling, a train control strategy calculation and a kinematics calculation. Based on the acquisition module 10, different running lines, different control train speeds, accelerations and traction / braking forces can be calculated, thereby providing input and output parameters for the calculation of the traction system. Through the module, the running environment and the characteristic calculation of the traction system are effectively closely associated.

[0068] The selection module 20 is used for receiving a calculation mode instruction and a control mode instruction, and matching a calculation mode and a control mode based on the calculation mode instruction and the control mode instruction. A user can select a calculation mode and a device control mode according to the demand for calculation accuracy and timeliness. Optionally, the calculation mode comprises at least one of a fundamental wave calculation mode and a fast calculation mode, wherein the fundamental wave calculation mode is selected when high effectiveness is pursued, and the harmonic calculation mode is selected when high accuracy is pursued. The control mode comprises at least one of a motor control mode or a rectifier control mode.

[0069] ​The computing module 30 is configured to obtain the performance parameters of the sampling point based on the train running state parameters and the control mode. The computing module 30 mainly realizes modeling of key devices such as the traction motor, the inverter and the intermediate circuit of the rail transit vehicle, inputs the train running state parameters obtained by the obtaining module 10 into the device model, obtains the performance parameters of the sampling point based on the matched computing mode and control mode selected by the selecting module 20, and the performance parameters include performance parameters of each device and performance evaluation parameters of the system.

[0070] The selecting module 20 is further configured to automatically match the power supply mode. The computing module 30 is further configured to obtain the performance parameters of the sampling point based on the power supply mode instruction, the train running state parameters and the control mode. The models included in the traction system of different power supply modes also have differences. For example, the direct current power supply system does not include a grid-side rectifier module, while the alternating current power supply mode includes the grid-side rectifier module, and the intermediate circuit main circuit model has a secondary filter circuit. Therefore, the computing module 30 can adaptively match the model of the traction system according to the power supply mode automatically matched by the selecting module 20.

[0071] The computing module 30 is further configured to obtain the output parameters of the traction motor based on the train running state parameters, obtain the output parameters of the inverter based on the output parameters of the traction motor, obtain the output parameters of the intermediate circuit based on the output parameters of the inverter, and obtain the output parameters of the grid-side circuit based on the output parameters of the intermediate circuit.

[0072] The computing module 30 mainly matches the control method of the traction system devices such as the motor and the rectifier, and can directly access (source code or dynamic link library) the control algorithm, and the results of the control output can also be accessed into the system. The computing module 30 introduces the solution to the differences caused by different control methods for the traction system device calculation. The control algorithm can be flexibly selected or configured according to different requirements.

[0073] The judging module 40 is configured to judge whether the sampling point is the last sampling point. After the performance parameter calculation and performance evaluation of one sampling point are completed, it is judged whether the sampling point is the last sampling point. If the sampling point is the last sampling point, the train running interval simulation is completed and the calculation result is output. If the sampling point is not the last sampling point, the loop calculation is started until the calculation of all sampling points is completed.

[0074] The embodiment provides an electronic device. The electronic device can include a memory and a processor. The memory stores a computer program. The computer program is executed by the processor to implement the rail transit traction drive system simulation method described in the above embodiment. It can be understood that the electronic device can also include an input / output (I / O) interface and a communication component.

[0075] The processor is configured to perform all or part of the steps of the rail transit traction drive system simulation method in the embodiments. The memory is configured to store various types of data, which may, for example, include instructions of any application program or method in the electronic device, and application program related data.

[0076] The processor can be an Application Specific Integrated Cricuit (ASIC), a Digital Signal Processor (DSP), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic elements, and is configured to perform the rail transit traction drive system simulation method in the above embodiments.

[0077] The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as a Static Random Access Memery (SRAM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), an Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), a Read-Only Memory (ROM), a magnetic storage, a flash memory, a magnetic disk, or an optical disk.

[0078] The embodiments also provide a computer readable storage medium. The functional units in the various embodiments of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer readable storage medium.

[0079] Based on such understanding, the technical solutions of the present application essentially or in other words the part that contributes to the prior art or the part of the technical solutions can be embodied in the form of a software product stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in various embodiments of the present application.

[0080] The aforementioned storage medium includes a flash memory, a hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an APP application store, and various media that can store program check codes, on which a computer program is stored, and the computer program is executed by a processor to implement the following method steps:

[0081] Step 01: Obtain a train running environment parameter, obtain a train running state parameter based on the running environment parameter, and obtain a preset number of sampling points according to a preset time step;

[0082] Step 02: Receive a calculation mode instruction and a control mode instruction, and match a calculation mode and a control mode based on the calculation mode instruction and the motor control mode instruction;

[0083] Step 03: Obtain a performance parameter of a sampling point based on the train running state parameter and the control mode using the calculation mode;

[0084] Step 04: Determine whether the sampling point is the last sampling point, and if not, repeat steps 03-04.

[0085] The specific implementation and effects can be referred to the description in the above embodiments, which will not be repeated here.

[0086] Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are implemented in hardware or software depends on the specific application and design constraints of the technical solutions. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application. Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0087] In several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method can be implemented in other manners. For example, the apparatus embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There can be another division manner for the actual implementation, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between the units can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0088] The above describes the basic principles of the present application in combination with specific embodiments. However, it should be pointed out that the advantages, benefits and effects mentioned in the present application are only examples and not limitations, and these advantages, benefits and effects cannot be considered as necessary for each embodiment of the present application. In addition, the above specific details are only for the purpose of example and understanding, and the present application is not limited to the above specific details.

[0089] The block diagrams of the devices, apparatuses, equipment, systems involved in the present application are only illustrative examples and are not intended to require or imply the connection, arrangement and configuration shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, equipment, systems can be connected, arranged and configured in any manner.

[0090] It should also be pointed out that in the apparatus, equipment and method of the present application, each component or step can be decomposed and / or recombined. These decompositions and / or recombinations should be considered as equivalent solutions of the present application.

[0091] The above description of the disclosed aspects is provided so that any person skilled in the art can make or use the present application. Various modifications to these aspects will be apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but is intended to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0092] In the description of the present application, the meaning of "a plurality" is at least two, for example, two, three, and the like, unless otherwise explicitly and specifically limited. All directional indications, such as upper, lower, left, right, front, rear, top, bottom, and the like, are used with respect to the orientation of the figure as shown in the respective figure, and are not meant to limit the position of the component relative to the orientation of the figure in which the component is shown. In addition, the terms "comprise", "comprising", "have", "having", "include", "including", "contain", "containing", and any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product, or apparatus that comprises a list of steps or units is not limited to the listed steps or units, but can optionally further include additional steps or units not listed, or can optionally further include steps or units inherent to the process, method, system, product, or apparatus.

[0093] In addition, reference herein to "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another. It is expressly understood that the embodiments described herein are merely examples from a multitude of possible embodiments and are not meant to limit the application in any way.

[0094] The above description is merely the preferred embodiment of the application, but the protection scope of the application is not limited thereto, and any skilled person in the art can easily think of changes or replacements within the technical range disclosed by the application, which should be covered by the protection scope of the application. Therefore, the protection scope of the application should be subject to the protection scope of the claims. The above description is merely the preferred embodiment of the application, but the protection scope of the application is not limited thereto, and any skilled person in the art can easily think of changes or replacements within the technical range disclosed by the application, which should be covered by the protection scope of the application. Therefore, the protection scope of the application should be subject to the protection scope of the claims.

Claims

1. A rail transit traction drive system simulation method, characterized in that, Comprise: Step 01: obtain train operation environment parameters, obtain train operation state parameters based on the operation environment parameters, and obtain a predetermined number of sampling points according to a predetermined time step; Step 02: receive calculation mode instructions and control mode instructions, match the calculation mode and the control mode based on the calculation mode instructions and the control mode instructions; Step 03: obtain the performance parameters of the sampling points based on the train operation state parameters and the control mode using the calculation mode; Step 04: determine whether the sampling point is the last sampling point, if not, repeat steps 03-04; Wherein, the control mode includes at least one of motor control mode, rectifier control, inverter control mode; Wherein, the calculation mode includes a fundamental wave calculation mode, and the step of obtaining the performance parameters of the sampling points based on the train operation state parameters and the control mode using the calculation mode includes: obtaining the performance parameters of the sampling points based on the train operation state parameters and the control mode using the fundamental wave calculation mode; the step of obtaining the performance parameters of the sampling points based on the train operation state parameters and the control mode using the fundamental wave calculation mode includes: Convert the speed of the train interval operation into the speed, and convert the force of the train interval operation into the torque; Obtain motor operating characteristic point parameters based on the speed, the torque and the control mode; wherein the motor operating characteristic point parameters include the motor flux of the constant voltage inflection point; Determine the motor characteristic working condition interval of the speed based on the motor operating characteristic point parameters, and solve the first performance parameters of the motor in the working condition interval; wherein the first performance parameters at least include the stator operating frequency, the slip frequency and the slip rate of the motor in the working condition; Obtain the second performance parameters of the motor based on the equivalent circuit of the motor; wherein the second performance parameters at least include the electronic voltage and the current; Obtain the third performance parameters of the motor based on the second performance parameters; wherein the third performance parameters at least include the temperature rise, the efficiency and the power factor.

2. The rail transit traction drive system simulation method according to claim 1, characterized in that, The step of obtaining the train operation environment parameters and obtaining the train operation state parameters based on the operation environment parameters includes: Obtain the line conditions of the train; Obtain the force of the train interval operation and the speed of the train interval operation based on the line conditions.

3. The rail transit traction drive system simulation method of claim 1, wherein, The calculation mode includes at least one of the fundamental wave calculation mode and the harmonic calculation mode.

4. The rail transit traction drive system simulation method of claim 1, wherein, The step of obtaining the performance parameters of the sampling points based on the train operation state parameters and the control mode using the calculation mode includes: Obtain the output parameters of the traction motor based on the train operation state parameters; Obtain the output parameters of the inverter based on the output parameters of the traction motor; Obtain the output parameters of the intermediate circuit based on the output parameters of the inverter; Obtain the output parameters of the grid side circuit based on the output parameters of the intermediate circuit.

5. The rail transit traction drive system simulation method of claim 1, wherein, The calculation mode includes a harmonic calculation mode, and the performance parameter of the sampling point is obtained based on the vehicle running state parameter and the control mode by using the calculation mode, including: obtaining the performance parameter of the sampling point based on the vehicle running state parameter and the control mode by using the harmonic calculation mode; the step of obtaining the performance parameter of the sampling point based on the vehicle running state parameter and the control mode by using the harmonic calculation mode includes: Convert the speed of the train running in the section into a rotating speed, and convert the force of the train running in the section into a torque; Obtain motor operating characteristic point parameters based on the rotating speed, the torque and the control mode; Determine the motor characteristic working condition section of the rotating speed based on the motor operating characteristic point parameters, and calculate a fourth performance parameter of the motor in the working condition section, the fourth performance parameter including a stator operating frequency; Obtain a stator voltage value of the motor in the next period of the operating frequency point based on the stator operating frequency and the motor control mode; Perform frequency transformation calculation on the stator voltage value to obtain a frequency domain voltage value; Obtain motor frequency domain electrical flow parameters based on the frequency domain relationship of motor electrical quantities and the frequency domain voltage value; Perform inverse fast Fourier transformation on the motor frequency domain electrical flow parameters to obtain motor time domain electrical quantity parameters, and reconstruct a waveform based on the motor time domain electrical quantity parameters.

6. The rail transit traction drive system simulation method according to claim 1, wherein, Before the step of obtaining the performance parameter of the sampling point based on the vehicle running state parameter and the control mode by using the calculation mode, the method further includes: automatically matching a power supply mode; The step of obtaining the performance parameter of the sampling point based on the vehicle running state parameter and the control mode by using the calculation mode includes: obtaining the performance parameter of the sampling point based on the power supply mode instruction, the train running state parameter and the control mode by using the calculation mode.

7. A rail transit traction drive system simulation device, characterized in that, including: An acquisition module is configured to acquire a train running environment parameter, obtain a train running state parameter based on the running environment parameter, and acquire a preset number of sampling points according to a preset time step; A selection module is configured to receive a calculation mode instruction and a control mode instruction, and match a calculation mode and a control mode based on the calculation mode instruction and the control mode instruction; A calculation module is configured to obtain a performance parameter of a sampling point based on a vehicle running state parameter and a control mode by using a calculation mode; A judgment module is configured to judge whether the sampling point is the last sampling point; The control mode includes at least one of a motor control mode, a rectifier control, and an inverter control mode; The calculation mode includes a fundamental calculation mode, and the calculation module is further configured to: Convert the speed of the train running in the section into a rotating speed, and convert the force of the train running in the section into a torque; Obtain motor operating characteristic point parameters based on the rotating speed, the torque and the control mode; wherein the motor operating characteristic point parameters include a motor flux of a constant voltage inflection point; Determine the motor characteristic working condition interval of the rotation speed based on the motor working characteristic point parameters, and calculate the first performance parameters of the motor under the working condition interval; wherein the first performance parameters at least include the stator working frequency, the rotation speed difference frequency and the rotation speed difference rate of the motor under the working condition; Obtain the second performance parameters of the motor based on the motor equivalent circuit; wherein the second performance parameters at least include the electronic voltage and the current; Obtain the third performance parameters of the motor based on the second performance parameters; wherein the third performance parameters at least include the temperature rise, the efficiency and the power factor.

8. The rail transit traction drive system simulation device according to claim 7, characterized in that, The calculation module is further used for: Obtain the output parameters of the traction motor based on the train running state parameters; Obtain the output parameters of the inverter based on the output parameters of the traction motor; Obtain the output parameters of the intermediate circuit based on the output parameters of the inverter; Obtain the output parameters of the grid side circuit based on the output parameters of the intermediate circuit.

9. An electronic device, comprising: The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the simulation method of the rail transit traction drive system according to any one of claims 1-6.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the simulation method of the rail transit traction drive system according to any one of claims 1-6.

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