Control method and device for working frequency of frequency converter, electronic equipment and train

Abstract

The invention provides a method for controlling the working frequency of a frequency converter, which can be applied to the technical field of rail transit. The control method for the working frequency of the frequency converter comprises the steps that the current temperature error of an equipment compartment in a train is determined, and the current temperature error is obtained based on the preset expected temperature of the equipment compartment and the current actually-measured temperature of the equipment compartment; under the condition that the current temperature error is larger than a preset threshold value, the current operation working condition of the train is obtained; reading multiple groups of historical working frequencies of the frequency converter in the train in the historical time period from the database; determining a reference historical working frequency from the multiple groups of historical working frequencies according to the current operation condition; and determining the current working frequency of the frequency converter by using a preset fuzzy iteration control algorithm based on the reference historical working frequency and a preset error correction item. The invention further provides a frequency converter working frequency control device, electronic equipment and a train.

Description

Technical Field

[0001] The present disclosure relates to the field of rail transit technology, and more specifically, to a method and device for controlling the operating frequency of a frequency converter, an electronic device, and a train. Background Art

[0002] The operation of high-speed trains depends on the stable operation of each subsystem equipment, but the number of equipment is large, and most of the equipment is installed in the equipment compartment. For example, the traction converter, traction transformer, traction motor fan, etc. are all installed in the equipment compartment by under-car suspension, so they will take up a lot of space. The equipment compartment is equipped with oil pipelines, oil storage tanks and other equipment. During long-term operation, oil leakage, pipeline wear and other faults are prone to occur. In case of overheating, fire is prone to occur, affecting the safety of high-speed trains. Therefore, ventilation and heat dissipation in the equipment compartment plays a very important role in the safe operation of high-speed trains. At present, most equipment is forced to dissipate heat through air cooling.

[0003] In the process of realizing the concept of the present disclosure, the inventors found that there are at least the following problems in the related art: the control method for the ventilation and heat dissipation equipment in the equipment cabin in the related art is relatively simple, for example, the air volume or speed of the heat dissipation fan is simply set to two gears, low and high. The speed of the heat dissipation fan is only related to the running speed of the train. When the speed is lower than a certain value, the equipment heat dissipation fan runs at a low speed, and the heat dissipation air volume is half of the rated air volume; when the speed is higher than this value, the equipment heat dissipation fan switches to high-speed operation. However, simply adjusting the speed of the heat dissipation fan according to the speed of the vehicle will cause excessive energy consumption in many cases, and there are also deficiencies in energy saving and intelligence. Summary of the invention

[0004] In view of this, the present disclosure provides a method, device, electronic equipment and train for controlling the operating frequency of a frequency converter.

[0005] One aspect of the present disclosure provides a method for controlling the operating frequency of an inverter, comprising: determining a current temperature error of an equipment compartment in a train, wherein the current temperature error is obtained based on a preset expected temperature of the equipment compartment and a current measured temperature of the equipment compartment; when the current temperature error is greater than a preset threshold, obtaining the current operating condition of the train; reading multiple groups of historical operating frequencies of the inverter in the train within a historical time period from a database; determining a reference historical operating frequency from the multiple groups of historical operating frequencies according to the current operating condition; and determining the current operating frequency of the inverter using a preset fuzzy iterative control algorithm based on the reference historical operating frequency and a preset error correction term.

[0006] According to an embodiment of the present disclosure, the reference historical operating condition corresponding to the reference historical operating frequency is the same as the current operating condition; or the reference historical operating condition is the same as the current operating condition, and the historical equipment compartment operating error corresponding to the historical operating frequency meets the preset numerical conditions.

[0007] According to an embodiment of the present disclosure, the current operating condition includes at least one of the following: the current operating speed of the train, the current geographical location, the current environment, and the current train temperature; the reference historical operating condition includes at least one of the following: the historical operating speed of the train, the historical geographical location, the historical environment, and the historical train temperature.

[0008] According to an embodiment of the present disclosure, the preset error correction items include a first preset error correction item, a second preset error correction item, and a third preset error correction item; based on the reference historical operating frequency and the preset error correction items, determining the current operating frequency of the inverter using a preset fuzzy iterative control algorithm includes: calculating the sum of the reference historical operating frequency and the first preset error correction item, the second preset error correction item, and the third preset error correction item to obtain the current operating frequency of the inverter.

[0009] According to an embodiment of the present disclosure, the method for controlling the operating frequency of the inverter also includes: determining a reference error function corresponding to the reference historical operating frequency based on a reference historical expected temperature and a reference historical measured temperature of the equipment compartment corresponding to the reference historical operating frequency; determining a first preset error correction item based on a first iterative learning rate parameter and a reference error function; determining a second preset error correction item based on a second iterative learning rate parameter and a reference error function; and determining a third preset error correction item based on a third iterative learning rate parameter and a reference error function.

[0010] According to an embodiment of the present disclosure, the method for controlling the operating frequency of the inverter further includes: adjusting the rotation speed of the cooling fan in the train according to the current operating frequency of the inverter.

[0011] According to an embodiment of the present disclosure, the method for controlling the operating frequency of the inverter also includes: determining a current equipment compartment operating error corresponding to the current operating frequency; and storing the current operating frequency, current operating conditions, and current equipment compartment operating error in a database.

[0012] Another aspect of the present disclosure provides a control device for the operating frequency of an inverter, comprising: a first determination module, used to determine a current temperature deviation of an equipment compartment in a train, wherein the current temperature deviation is based on a preset expected temperature of the equipment compartment and a current measured temperature of the equipment compartment; an acquisition module, used to acquire the current operating condition of the train when the current temperature deviation is greater than a preset threshold; a reading module, used to read from a database multiple groups of historical operating frequencies of the inverter in the train within a historical time period; a second determination module, used to determine a reference historical operating frequency from multiple groups of historical operating frequencies according to the current operating condition; and a third determination module, used to determine the current operating frequency of the inverter using a preset fuzzy iterative control algorithm based on the reference historical operating frequency and a preset error correction term.

[0013] The third aspect of the present disclosure provides an electronic device, comprising: one or more processors; a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors execute the method for controlling the operating frequency of the inverter.

[0014] Another aspect of the present disclosure provides a train, comprising the above electronic device.

[0015] According to the embodiments of the present disclosure, by testing the current measured temperature of the equipment compartment in real time, and obtaining the current operating condition of the train when the current temperature error is greater than the preset threshold, the situation where the temperature error of the equipment compartment is large can be monitored in time, so that the operating frequency of the frequency converter can be adjusted in time, thereby adjusting the ventilation and heat dissipation performance of the equipment compartment in time; by determining the reference historical operating frequency from multiple groups of historical operating frequencies according to the current operating condition, so as to determine the current operating frequency of the frequency converter based on the reference historical operating frequency, rather than simply adjusting the ventilation and heat exchange performance of the equipment compartment based on the vehicle speed, the various factors affecting the ventilation and heat dissipation performance of the equipment compartment can be fully considered; based on the reference historical operating frequency and the preset error correction term, the current operating frequency of the frequency converter is determined by the preset fuzzy iterative control algorithm, the current operating frequency of the frequency converter can be further accurately determined, and energy consumption can be reduced. In addition, since the preset fuzzy iterative control algorithm is directly based on the reference historical operating frequency for iterative learning, rather than first searching and determining the initial value of the control input and then iterative learning, the convergence speed of the preset fuzzy iterative control algorithm is increased, and the system response speed is improved. Therefore, it at least partially overcomes the technical problem of being unable to accurately adjust the ventilation and heat dissipation performance of the equipment compartment and excessive energy consumption caused by simply changing the fan speed according to the vehicle speed, thereby achieving the technical effect of timely adjusting the ventilation and heat dissipation performance of the equipment compartment, reducing energy loss and improving the system response speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0017] Figure 1 An exemplary system architecture to which the inverter operating frequency control method, apparatus, device, medium and program product disclosed in the present invention can be applied is schematically shown;

[0018] Figure 2 A flow chart schematically shows a method for controlling the operating frequency of a frequency converter according to an embodiment of the present disclosure;

[0019] Figure 3 A schematic diagram of a preset fuzzy iterative control algorithm according to an embodiment of the present disclosure is schematically shown;

[0020] Figure 4 A flow chart schematically shows a method for controlling the operating frequency of a frequency converter according to another embodiment of the present disclosure;

[0021] Figure 5 A schematic diagram schematically shows a control system for the operating frequency of a frequency converter according to an embodiment of the present disclosure;

[0022] Figure 6 A schematic diagram schematically shows a method for controlling the operating frequency of a frequency converter according to an embodiment of the present disclosure;

[0023] Figure 7 A block diagram schematically shows a device for controlling the operating frequency of a frequency converter according to an embodiment of the present disclosure; and

[0024] Figure 8 A block diagram of an electronic device suitable for implementing a method for controlling the operating frequency of a frequency converter according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0025] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0026] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0027] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0028] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0029] It should be noted that the collection, updating, analysis, processing, use, transmission, storage and other aspects of the data involved in the technical solution of this disclosure (for example, including but not limited to user personal information) are in compliance with the provisions of relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. Necessary measures are taken for user personal information to prevent illegal access to user personal information data and maintain the security of user personal information, network security and national security.

[0030] In the embodiments of the present disclosure, the user's authorization or consent is obtained before obtaining or collecting the user's personal information.

[0031] It should be noted that in the embodiments of the present disclosure, certain software, components, models and other existing solutions in the industry may be mentioned, which should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present disclosure, but it does not mean that the applicant has or will necessarily use the solution.

[0032] The performance of various equipment in the train equipment compartment directly affects the driving safety and operation performance of the train, and the ventilation and heat dissipation performance of the train equipment compartment directly affects the normal operation and equipment life of the equipment under the train. In the related art, the control method for ventilation and heat dissipation equipment such as traction converters and traction transformers in the equipment compartment of high-speed trains is relatively simple, and most of them are to simply set the air volume or speed of the heat dissipation fan to two gears, low gear and high gear. In the process of realizing the concept of the present disclosure, the inventor found that there are at least the following problems in the related art: the ventilation and heat dissipation performance of the equipment compartment is affected by many factors. On the one hand, the north-south span of my country's high-speed railway network is large, resulting in a long train mileage and a large temperature difference in different operating areas. Therefore, when the train runs across a long north-south distance, the temperature outside the equipment compartment is different; on the other hand, in the actual operation of the train, the ambient temperature in different seasons is different, which will also affect the temperature of the equipment compartment; in addition, when the various operating environments such as train running speed, open line tunnel operation, entry and exit, altitude, etc. change, it will also affect the air volume and temperature difference of the ventilation and heat dissipation of the equipment compartment. Therefore, in the case of simply changing the fan speed according to the speed of the vehicle, it will cause excessive energy consumption in many cases.

[0033] In view of this, an embodiment of the present disclosure provides a method for controlling the operating frequency of an inverter, including: determining a current temperature error of an equipment compartment in a train, wherein the current temperature error is obtained based on a preset expected temperature of the equipment compartment and a current measured temperature of the equipment compartment; when the current temperature error is greater than a preset threshold, obtaining the current operating condition of the train; reading multiple groups of historical operating frequencies of the inverter in the train within a historical time period from a database; determining a reference historical operating frequency from multiple groups of historical operating frequencies according to the current operating condition; and determining the current operating frequency of the inverter using a preset fuzzy iterative control algorithm based on the reference historical operating frequency and a preset error correction term.

[0034] Figure 1 The exemplary system architecture 100 to which the inverter operating frequency control method, device, electronic device and train disclosed in the present invention can be applied is schematically shown. It should be noted that: Figure 1 What is shown is merely an example of a system architecture to which the embodiments of the present disclosure can be applied, in order to help those skilled in the art understand the technical content of the present disclosure, but it does not mean that the embodiments of the present disclosure cannot be used in other devices, systems, environments or scenarios.

[0035] like Figure 1As shown, the system architecture 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, a server 105, and a train 106. The network 104 is used to provide a medium for communication links between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired and / or wireless communication links, etc.

[0036] The user may use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through the network 104 to receive or send messages, etc. Various communication client applications may be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, and / or social platform software, etc. (only for example).

[0037] The first terminal device 101, the second terminal device 102, and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0038] The server 105 may be a server that provides various services, such as a background management server (only as an example) that provides support for websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal device.

[0039] In the application scenario of the embodiment of the present disclosure, the user can use at least one of the first terminal device 101, the second terminal device 102, and the third terminal device 103 to initiate a request to the server 105 for a control method for obtaining the operating frequency of the inverter. In response to the above request, the server 105 can be used to execute the control method for the operating frequency of the inverter of the embodiment of the present disclosure, including: determining the current temperature error of the equipment compartment in the train 106, wherein the current temperature error is obtained based on a preset expected temperature of the equipment compartment and the current measured temperature of the equipment compartment; when the current temperature error is greater than a preset threshold, obtaining the current operating condition of the train 106; reading multiple groups of historical operating frequencies of the inverter in the train within a historical time period from a database; determining a reference historical operating frequency from multiple groups of historical operating frequencies according to the current operating condition; and determining the current operating frequency of the inverter using a preset fuzzy iterative control algorithm based on the reference historical operating frequency and a preset error correction term.

[0040] It should be noted that the control method of the operating frequency of the frequency converter provided in the embodiment of the present disclosure can generally be executed by the server 105. Accordingly, the control method system of the operating frequency of the frequency converter provided in the embodiment of the present disclosure can generally be set in the server 105. The control method method of the operating frequency of the frequency converter provided in the embodiment of the present disclosure can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Correspondingly, the control method system of the operating frequency of the frequency converter provided in the embodiment of the present disclosure can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Alternatively, the control method method of the operating frequency of the frequency converter provided in the embodiment of the present disclosure can also be executed by the first terminal device 101, the second terminal device 102, and the third terminal device 103, or can also be executed by other terminal devices different from the first terminal device 101, the second terminal device 102, and the third terminal device 103. Correspondingly, the control method system for the operating frequency of the inverter provided in the embodiment of the present disclosure can also be set in the first terminal device 101, the second terminal device 102, the third terminal device 103, or in other terminal devices different from the first terminal device 101, the second terminal device 102, the third terminal device 103.

[0041] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks, servers and internal combustion locomotives may be provided as required.

[0042] Figure 2 The flowchart of the method for controlling the operating frequency of the frequency converter according to the embodiment of the present disclosure is schematically shown. Figure 2 As shown, the method includes operations S210 to S250.

[0043] In operation S210, a current temperature error of an equipment compartment in a train is determined, wherein the current temperature error is obtained based on a preset expected temperature of the equipment compartment and a currently measured temperature of the equipment compartment.

[0044] In operation S220, when the current temperature error is greater than a preset threshold, the current operating condition of the train is obtained.

[0045] In operation S230, a plurality of groups of historical operating frequencies of the frequency converters in the train within a historical time period are read from a database.

[0046] In operation S240 , a reference historical operating frequency is determined from a plurality of groups of historical operating frequencies according to the current operating condition.

[0047] In operation S250 , a current operating frequency of the inverter is determined by using a preset fuzzy iterative control algorithm based on a reference historical operating frequency and a preset error correction term.

[0048] According to an embodiment of the present disclosure, in operation S210, the current temperature of the equipment compartment in the train can be collected in real time to obtain the current measured temperature. The preset expected temperature of the equipment compartment can also be obtained, wherein the preset expected temperature can be manually set based on historical experience, the preset expected temperature can be a fixed value, or it can be dynamically adjusted according to historical experience. The difference between the preset expected temperature and the current measured temperature can be calculated to obtain the current temperature error. For example: the preset expected temperature manually set based on historical experience is 30°C, and the current measured temperature of the equipment compartment collected in real time is 26°C. The difference between the preset expected temperature and the current measured temperature is calculated to obtain a current temperature error of 4°C.

[0049] According to an embodiment of the present disclosure, in operation S220, when the current measured temperature of the equipment compartment significantly deviates from the preset expected temperature, it may cause the heat dissipation efficiency of the equipment compartment to decrease and increase energy consumption. Therefore, when the current temperature error is greater than the preset threshold, that is, when the current measured temperature of the equipment compartment significantly deviates from the preset expected temperature, the current operating frequency of the inverter in the train can be readjusted to adjust the current speed of the cooling fan in the equipment compartment according to the current operating frequency of the inverter, thereby adjusting the ventilation and heat dissipation performance of the equipment compartment in real time.

[0050] Specifically, the preset threshold can be set manually based on experience, or the preset threshold can be set automatically by the system. For example, the preset threshold set manually based on historical experience is ±2°C. When the preset expected temperature is 30°C and the current measured temperature is 26°C, the current temperature error is 4°C, which exceeds the preset threshold. Since the current measured temperature is obviously deviated from the preset expected temperature at this time, it is necessary to readjust the current operating frequency of the inverter in the train, so as to adjust the ventilation and heat dissipation performance of the equipment compartment in real time.

[0051] According to an embodiment of the present disclosure, the current operating condition of the train may include the current operating speed of the train, the current altitude, the current season, etc. In addition to the train operating speed affecting the ventilation and heat dissipation performance of the equipment compartment, other operating conditions such as the current operating speed of the train, the current altitude, the current season, etc., may also affect the ventilation and heat dissipation performance of the equipment compartment. Therefore, the current operating condition of the train may be obtained to accurately adjust the current operating frequency of the inverter based on the current operating condition, thereby accurately adjusting the ventilation and heat dissipation performance of the equipment compartment.

[0052] According to an embodiment of the present disclosure, in operation S230, in order to reduce the amount of system calculation and improve the calculation accuracy of the current operating frequency, the historical operating frequency of the inverter in the historical period can be referred to, so as to determine the current operating frequency of the inverter. Therefore, it is necessary to read multiple groups of historical operating frequencies of the inverter in the train in the historical period from the database.

[0053] According to the embodiments of the present disclosure, a database can be pre-built, and the database can store multiple historical operating frequencies of the same frequency converter, or multiple groups of historical operating frequencies corresponding to multiple frequency converters. In addition, the database also stores historical operating conditions of the train corresponding to each historical operating frequency.

[0054] Specifically, at the target historical moment, the operating frequency of the frequency converter is the historical operating frequency, and the historical operating conditions of the train corresponding to the target historical moment can be collected to obtain the historical operating conditions corresponding to the historical operating frequency. The historical operating frequency and the historical operating conditions corresponding to the historical operating frequency can be stored in a database. The target historical moment can be any historical moment for adjusting the frequency converter.

[0055] According to an embodiment of the present disclosure, in operation S240, the reference historical operating condition corresponding to the reference historical operating frequency may be the same as the current operating condition. According to the current operating condition, determining the reference historical operating frequency from multiple groups of historical operating frequencies may be: respectively determining the historical operating conditions corresponding to each historical operating frequency one by one to obtain multiple historical operating conditions; screening out the historical operating condition that is the same as the current operating condition from the multiple historical operating conditions to obtain the reference historical operating condition; determining the historical operating frequency corresponding to the reference historical operating condition to obtain the reference historical operating frequency.

[0056] Under the same train operating conditions, the operating frequencies of the frequency converters are the same or similar. Therefore, when determining the current operating frequency, the reference historical operating frequency corresponding to the reference historical operating condition that is the same as the current operating condition can be referred to. Since the corresponding operating conditions are the same, the current operating frequency should be the same or similar to the reference historical operating frequency. Determining the current operating frequency based on the reference historical operating frequency can increase the calculation speed of the current operating frequency and improve the calculation accuracy.

[0057] According to an embodiment of the present disclosure, in operation S250, in an actual train operation scenario, there is usually a temperature error between the measured temperature of the equipment compartment and the expected temperature. In order to reduce the temperature error and make the measured temperature closer to the expected temperature, the current operating frequency of the inverter can be determined by using a preset fuzzy iterative control algorithm based on a reference historical operating frequency and a preset error correction term.

[0058] According to the embodiments of the present disclosure, by testing the current measured temperature of the equipment compartment in real time, and obtaining the current operating condition of the train when the current temperature error is greater than a preset threshold, the situation where the temperature error of the equipment compartment is large can be monitored in time, so that the inverter operating frequency can be adjusted in time, thereby adjusting the ventilation and heat dissipation air volume of the equipment compartment in time; by determining the reference historical operating frequency from multiple groups of historical operating frequencies according to the current operating condition, so as to determine the current operating frequency of the inverter based on the reference historical operating frequency, rather than simply adjusting the ventilation and heat exchange performance of the equipment compartment based on the vehicle speed, the various factors affecting the ventilation and heat dissipation performance of the equipment compartment, such as ambient temperature, altitude, train speed, and open-line tunnel operation, can be fully considered; based on the reference historical operating frequency and the preset error correction term, the current operating frequency of the inverter is determined by a preset fuzzy iterative control algorithm, so that the current operating frequency of the inverter can be further accurately determined, energy consumption can be reduced, the energy-saving performance of the whole vehicle can be improved, the intelligence of the equipment compartment can be improved, and the overall aerodynamic noise of the equipment compartment can be reduced. Thus, the real-time, dynamic, and low-energy consumption ventilation and heat dissipation of the equipment compartment can be achieved while meeting the requirements for safe and reliable operation of high-speed trains. In addition, since the preset fuzzy iterative control algorithm performs iterative learning directly based on the reference historical operating frequency, rather than first searching and determining the initial value of the control input and then performing iterative learning, the convergence speed of the preset fuzzy iterative control algorithm is increased.

[0059] According to an embodiment of the present disclosure, the reference historical operating condition corresponding to the reference historical operating frequency is the same as the current operating condition; or the reference historical operating condition is the same as the current operating condition, and the historical equipment compartment operating error corresponding to the historical operating frequency meets the preset numerical conditions.

[0060] According to an embodiment of the present disclosure, after determining the historical operating frequency, the temperature of the equipment compartment under the historical operating frequency can be measured to obtain the historical measured temperature. The historical preset expected temperature corresponding to the historical operating frequency can be determined, and the error between the historical preset expected temperature and the historical measured temperature can be calculated to obtain the historical equipment compartment operating error. The smaller the historical equipment compartment operating error is, the closer the historical preset expected temperature is to the historical measured temperature, which means that the setting of the historical operating frequency is more accurate and the ventilation and heat dissipation performance of the equipment compartment is better. Therefore, in order to improve the accuracy of the current operating frequency, when determining the reference historical operating condition, the historical operating condition that is the same as the current operating condition and the historical equipment compartment operating error corresponding to the historical operating frequency meets the preset numerical condition can be used as the reference historical operating condition. Among them, the historical equipment compartment operating error meeting the preset numerical condition can be: the historical equipment compartment operating error is less than or equal to the preset error threshold.

[0061] According to the embodiments of the present disclosure, high-speed trains are repeatedly operated on the line at almost the same operating speed and under the same operating conditions. When the train operating conditions are the same, the operating frequencies of the frequency converters are the same or similar. Therefore, when the reference historical operating conditions corresponding to the reference historical operating frequency are the same as the current operating conditions, the current operating frequency determined based on the reference historical operating frequency is more accurate. Further, when the historical equipment compartment operating error meets the preset numerical conditions, it indicates that the setting of the reference historical operating frequency is more accurate. Therefore, when the reference historical operating conditions are the same as the current operating conditions, and the historical equipment compartment operating error corresponding to the historical operating frequency meets the preset numerical conditions, the current operating frequency determined based on the reference historical operating frequency is more accurate.

[0062] According to an embodiment of the present disclosure, the current operating condition includes at least one of the following: the current operating speed of the train, the current geographical location, the current environment, and the current train temperature; correspondingly, the reference historical operating condition includes at least one of the following: the historical operating speed of the train, the historical geographical location, the historical environment, and the historical train temperature.

[0063] According to an embodiment of the present disclosure, the current environment may include at least one of the following: the current altitude of the train, the current season of the train, the tunnel information of the current train, the station information of the current train, etc. Among them, the tunnel information of the current train may include, for example, the geographical location, tunnel name, tunnel length, etc. of the tunnel of the current train; the station information of the current train may include, for example, the name of the current station of the train, the location of the current station of the train, etc. The current train temperature may include at least one of the following: the surface temperature inside and outside the equipment compartment of the train, the surface temperature of the heat dissipation equipment in the equipment compartment, the current environment temperature of the train, etc.

[0064] Accordingly, the historical environment may include at least one of the following: the altitude of the train at the historical moment, the season of the train at the historical moment, the tunnel information of the train at the historical moment, the station information of the train at the historical moment, etc. Among them, the tunnel information of the train at the historical moment may include, for example, the geographical location, tunnel name, tunnel length, etc. of the tunnel where the train is at the historical moment; the station information of the train at the historical moment may include, for example, the station name and station location of the train at the historical moment. The historical train temperature may include at least one of the following: the internal and external surface temperature of the equipment compartment of the train at the historical moment, the surface temperature of the heat dissipation equipment in the equipment compartment, the ambient temperature of the train, etc.

[0065] According to the embodiments of the present disclosure, by determining the reference historical operating frequency based on the current operating conditions, the influence of multiple factors such as the train running speed, the altitude of the train, the season of the train, etc. on the ventilation and heat dissipation performance of the equipment compartment can be fully and comprehensively considered, thereby improving the accuracy of the current operating frequency, and also reducing energy consumption and improving energy-saving performance.

[0066] According to an embodiment of the present disclosure, the preset error correction term includes a first preset error correction term, a second preset error correction term, and a third preset error correction term.

[0067] According to an embodiment of the present disclosure, based on the reference historical operating frequency and the preset error correction item, the current operating frequency of the inverter is determined using a preset fuzzy iterative control algorithm, including: calculating the sum of the reference historical operating frequency and the first preset error correction item, the second preset error correction item, and the third preset error correction item to obtain the current operating frequency of the inverter.

[0068] According to an embodiment of the present disclosure, the current operating frequency of the inverter can be determined by using a preset fuzzy iterative control algorithm: the temperature error between the preset expected temperature of the equipment compartment and the current measured temperature is used as an iterative learning control input, the control output is obtained through a PID iterative learning rate, and the current operating frequency is assigned to the inverter, so as to change the speed of the cooling fan by adjusting the current operating frequency of the inverter, thereby changing the cooling air volume of the equipment compartment, so that the actual temperature of the equipment compartment approaches the preset expected temperature.

[0069] According to an embodiment of the present disclosure, specifically, the preset fuzzy iterative control algorithm may be as shown in formula (1).

[0070] (1)

[0071] Among them, f k+1 (t) is the operating frequency of the inverter at the k+1th time, for example, it can be the current operating frequency. k (t) is the k-th operating frequency of the frequency converter, for example, it can be a reference historical operating frequency. kp is the first iteration learning rate parameter, kd is the second iteration learning rate parameter, and ki is the third iteration learning rate parameter. ek(t) is the k-th error function, for example, it can be a reference error function corresponding to the reference historical operating frequency.

[0072] in, is the first preset error correction term.

[0073] is the second preset error correction term.

[0074] is the third preset error correction term.

[0075] According to an embodiment of the present disclosure, an open-loop PID iterative learning rate can be used for iterative learning, that is, the operating frequency of the k+1th cooling fan inverter is equal to the kth fan operating frequency plus the kth system error PID correction term. The PID correction term includes a first preset error correction term, a second preset error correction term, and a third preset error correction term.

[0076] For example: based on the current operating conditions, the reference historical operating frequency is determined to be 40Hz, indicating that in a certain historical time period, when the historical operating conditions of the train are the same as the current operating conditions, the historical operating frequency of the inverter is 40Hz. However, during the actual operation of the train, this historical operating frequency may not be able to meet the ventilation and heat dissipation requirements of the equipment compartment under the historical operating conditions. For example, under this historical operating condition, the energy consumption is higher when the historical operating frequency is 40Hz. Therefore, if 40Hz is directly used as the current operating frequency, it will also lead to higher current energy consumption. On this basis, 40Hz can be used as the control input initial value of the preset fuzzy iterative control algorithm, and the control input initial value can be iteratively learned based on the preset error correction term, so as to output a more accurate current operating frequency.

[0077] In addition, the preset fuzzy iterative control algorithm performs iterative learning directly based on the reference historical operating frequency, rather than searching and determining the initial value of the control input first and then performing iterative learning. Specifically, the preset fuzzy iterative control algorithm performs iterative learning directly based on 40Hz, rather than starting from 0Hz and gradually determining the specific value of the initial value of the control input, thereby increasing the convergence speed of the preset fuzzy iterative control algorithm.

[0078] According to the embodiments of the present disclosure, since high-speed trains are almost repeatedly operated under the same operating conditions on the line, and the operating frequencies of the frequency converters under the same operating conditions are generally similar or the same. Therefore, iterative learning can be performed on the basis of the historical operating frequencies of the frequency converter to determine the current operating frequency. Specifically, by performing a matching search in the database, a reference historical operating frequency with the same operating condition as the current operating condition and a better control effect is found, and then the reference historical operating frequency is used as the initial value of the control input for the current operation, and on this basis, learning is performed according to the preset fuzzy iterative control algorithm. Since learning is performed directly based on the reference historical operating frequency without gradually determining the specific values ​​of the initial value of the control input, the preset fuzzy iterative control algorithm based on the database has a faster convergence speed, higher control accuracy, and better dynamic performance of the system.

[0079] According to an embodiment of the present disclosure, specifically, a reference error function corresponding to a reference historical operating frequency may be determined based on a reference historical expected temperature and a reference historical measured temperature of the equipment compartment corresponding to the reference historical operating frequency.

[0080] The reference error function corresponding to the reference historical operating frequency may be determined as shown in formula (2).

[0081] (2)

[0082] Among them, e kThe meaning of (t) is as mentioned above and will not be repeated here. d (t) is the reference historical expected temperature, V k (t) is the reference historical measured temperature.

[0083] According to an embodiment of the present disclosure, as shown in formula (1), a first preset error correction term can be determined based on a first iterative learning rate parameter and a reference error function; a second preset error correction term can be determined based on a second iterative learning rate parameter and a reference error function; and a third preset error correction term can be determined based on a third iterative learning rate parameter and a reference error function.

[0084] Figure 3 A schematic diagram of a preset fuzzy iterative control algorithm according to an embodiment of the present disclosure is schematically shown.

[0085] According to the embodiments of the present disclosure, the current temperature error e and the error change rate e can be set to achieve online real-time self-tuning of the PID iterative learning rate parameter value. e As the input of fuzzy control, through fuzzification, fuzzy reasoning and defuzzification, the first iteration learning rate parameter, the second iteration learning rate parameter and the third iteration learning rate parameter are obtained, which can meet the control system's requirements for learning rate parameters at different times. Among them, the error e can be differentiated to obtain the error change rate e e .

[0086] According to the embodiments of the present disclosure, the current operating frequency of the inverter is determined based on a preset fuzzy iterative control algorithm, which not only solves the problem that an accurate mathematical model of the control method for the inverter operating frequency is difficult to establish, but also can adjust the PID iterative learning rate parameter value in real time to achieve online self-tuning of the iterative learning rate, thereby making the control method for the inverter operating frequency have good universality and uniformity, and can be applied to temperature regulation of equipment compartment heat dissipation equipment under different operating conditions.

[0087] According to an embodiment of the present disclosure, the method for controlling the operating frequency of the inverter further includes: adjusting the rotation speed of the cooling fan in the train according to the current operating frequency of the inverter.

[0088] According to an embodiment of the present disclosure, after determining the current operating frequency of the inverter, the speed of the cooling fan in the train can be adjusted based on the current operating frequency to adjust the temperature of the equipment compartment and achieve ventilation and heat dissipation of the equipment compartment.

[0089] According to an embodiment of the present disclosure, the method for controlling the operating frequency of the inverter further includes: adjusting the rotation speed of the cooling fan in the train according to the current operating frequency of the inverter.

[0090] According to an embodiment of the present disclosure, after adjusting the speed of the cooling fan in the train based on the current operating frequency, the temperature of the equipment compartment can be collected to obtain the actual temperature of the equipment compartment corresponding to the current operating frequency. The difference between the actual temperature of the equipment compartment corresponding to the current operating frequency and the preset expected temperature can be calculated to obtain the temperature error corresponding to the current operating frequency. The smaller the temperature error corresponding to the current operating frequency, the more accurate the current operating frequency is, and the better the control effect of the current operating frequency on the ventilation and heat dissipation performance of the equipment compartment is.

[0091] The current operating frequency, current operating conditions, and current equipment compartment operating error can be stored in a database, so that when the operating frequency of the inverter needs to be adjusted next time, and the operating conditions of the train corresponding to the next time the operating frequency of the inverter needs to be adjusted are the same as the current operating conditions, the current operating frequency can be read from the database, so that the current operating frequency can be referenced to determine the next time the operating frequency of the inverter needs to be adjusted.

[0092] Figure 4 The flowchart of the method for controlling the operating frequency of the frequency converter according to another embodiment of the present disclosure is schematically shown. Figure 4 As shown, the method includes operations S410 to S450.

[0093] In operation S410, initialization of the fuzzy iterative control algorithm is preset.

[0094] In operation S420, a reference historical operating frequency is determined from a plurality of groups of historical operating frequencies according to the current operating condition.

[0095] In operation S430, a current operating frequency of the inverter is determined using a preset fuzzy iterative control algorithm.

[0096] In operation S440, the speed of the cooling fan in the train is adjusted according to the current operating frequency of the inverter.

[0097] In operation S450, it is determined whether the current temperature error of the equipment compartment is greater than a preset threshold. If the current temperature error of the equipment compartment is greater than the preset threshold, the current operating condition of the train is acquired again, and a reference historical operating frequency is determined from multiple groups of historical operating frequencies according to the current operating condition.

[0098] In operation S460, when the current temperature error of the equipment compartment is less than a preset threshold, the current operating frequency of the inverter is maintained.

[0099] Figure 5 A schematic diagram of a control system for the operating frequency of a frequency converter according to an embodiment of the present disclosure is schematically shown.

[0100] like Figure 5As shown, the control system of the inverter operating frequency may include a microcontroller, a sensor, an inverter, a control subsystem, a monitoring subsystem, and a communication subsystem.

[0101] According to the embodiments of the present disclosure, the microcontroller can be equipped with test and control software for executing the control method of the operating frequency of the inverter, and is responsible for the overall scheduling of the system, the execution of the control algorithm and the operation of the control logic; under normal circumstances, the microcontroller can execute the control method of the operating frequency of the inverter and monitor the ventilation and heat dissipation status information of the equipment compartment. The microcontroller can upload the ventilation and heat dissipation status information of the equipment compartment in real time, and issue an alarm message when abnormal heat dissipation in the equipment compartment is detected, and control the heat dissipation fan to run at full power to ensure the safety of the equipment.

[0102] According to the embodiments of the present disclosure, the sensors may include air pressure sensors, temperature sensors, voltage sensors, current sensors, rotation speed sensors, speed sensors, etc. Among them, the air pressure sensor is used to monitor the atmospheric pressure changes with altitude; the temperature sensor can be installed on the surface of the heat dissipation components of the transformer / converter and the internal and external spaces of the equipment compartment, and can monitor the temperature inside and outside the equipment compartment and the temperature changes on the surface of heat dissipation equipment such as transformers and converters and in the equipment compartment during the operation of the train, as well as the temperature outside the vehicle; the voltage sensor and the current sensor are used to monitor the power of the traction transformer, converter and cooling fan on the one hand, so as to reflect the operating conditions of the train, the load and power consumption of the heat dissipation system, and on the other hand, to monitor the energy consumption of the control system of the inverter operating frequency; the rotation speed sensor can be used to monitor the rotation speed of the heat dissipation fan to reflect the actual working conditions of the heat dissipation fan, so as to facilitate the precise control of the ventilation and heat dissipation performance of the equipment compartment; the speed sensor can use the speed radar method to measure the running speed of the train, and in addition, it can also directly obtain the speed information on the train network.

[0103] According to the embodiments of the present disclosure, the above-mentioned sensors can be used to detect the current operating conditions of the train, such as the current operating speed, current geographical location, current environment, current train temperature, etc., in real time, and the above-mentioned current operating conditions can also be directly obtained from the on-board network.

[0104] It can be understood that the ventilation and heat dissipation control objects of the equipment compartment ventilation and heat dissipation performance are mostly high-power equipment such as transformers, converters, inverters, etc. located in the equipment compartment. Although the specific ventilation and heat dissipation control objects of different equipment compartments may be different, the heat dissipation requirements are mostly similar. Therefore, the control method of the inverter operating frequency of the embodiment of the present invention can usually be universalized in the application stage. For example, the number of various sensors can be increased or decreased according to the actual ventilation and heat dissipation requirements of the equipment compartment and the different equipment compartment environments. The layout locations of various sensors can also be adjusted, and some control parameters can be adjusted.

[0105] According to the embodiments of the present disclosure, a frequency converter can be provided for the driving motor of the heat dissipation fan. The rotation speed of the heat dissipation fan can be adjusted by adjusting the operating frequency of the frequency converter, thereby finely controlling the ventilation volume of the heat dissipation fan and improving the control ability of the heat dissipation fan.

[0106] According to the embodiments of the present disclosure, the control subsystem can respond to the real-time control signal solved by the software and control algorithm, and transmit the control signal to the inverter through digital-to-analog conversion (DA conversion), thereby completing the real-time control of the speed of the cooling fan, and then adjusting the ventilation volume of the equipment compartment according to the heat dissipation conditions of the equipment compartment and the power of the transformer and converter.

[0107] The monitoring subsystem can receive and condition the output electrical signals of each sensor, complete the analog-to-digital conversion (AD conversion) of the electrical signals, and monitor the temperature inside and outside the equipment cabin, the real-time power and temperature of the transformer / inverter, and the speed of the ventilator in real time.

[0108] The communication subsystem can be connected to the train's on-board network system through a communication board based on a specific protocol, and communicate with it in two directions to complete the status data feedback of the control system of the inverter operating frequency, and transmit the ventilation and heat dissipation conditions of the equipment compartment to the on-board communication network in real time, so as to facilitate the superior monitoring and control system to make decisions. At the same time, the train's operating conditions such as running speed, running position, natural time of the on-board system, and train operating conditions can also be obtained through the on-board network.

[0109] According to the embodiments of the present disclosure, the hardware used to implement the control method of the operating frequency of the inverter is mainly aimed at the design of the control method of the operating frequency of the inverter and the programming of the control algorithm, and detailed hardware development, algorithm engineering, software development, system integration and other work are carried out. The preset fuzzy iterative control algorithm can be implemented in the core algorithm using languages ​​such as C / C++ / LabVIEW, so that it can run efficiently and stably. For the software used to implement the control method of the operating frequency of the inverter, the interface, implementation method, background program, database, communication, etc. of each functional module of the software can be designed in detail, and the software code implementation, algorithm integration, and hardware driver docking are completed. Finally, the software is debugged and tested to ensure the reliability, stability and functional integrity of the software operation.

[0110] On the basis of the above-mentioned software and hardware, the software and hardware used to implement the control method of the above-mentioned inverter operating frequency are integrated, and based on the requirements of the ventilation and heat dissipation performance of the high-speed train equipment compartment in terms of mechanical, electrical, IP protection, safety, etc., the control system of the real-time dynamic inverter operating frequency of the overall equipment compartment is packaged.

[0111] Figure 6 A schematic diagram schematically shows a method for controlling the operating frequency of a frequency converter according to an embodiment of the present disclosure.

[0112] The train running speed, geographical location, equipment voltage, current and other information are obtained through air pressure sensors, temperature sensors, voltage sensors, current sensors, speed sensors, and the monitoring subsystem monitors the temperature inside and outside the equipment compartment, the real-time power and temperature of the transformer / converter, and the speed of the fan in real time to obtain the current operating condition of the train. Based on the current operating condition, the historical operating frequency can be read from the database, where the reference historical operating condition corresponding to the reference historical operating frequency is the same as the current operating condition. The control subsystem can determine the current operating frequency of the inverter based on the reference historical operating frequency and the preset error correction item using a preset fuzzy iterative control algorithm. According to the current operating frequency of the inverter, the speed of the cooling fan in the train can be adjusted to adjust the temperature of the equipment compartment and realize ventilation and heat dissipation of the equipment compartment.

[0113] Figure 7 A block diagram schematically shows a device for controlling the operating frequency of a frequency converter according to an embodiment of the present disclosure.

[0114] like Figure 7 As shown, the control device 700 for the operating frequency of the frequency converter of this embodiment includes a first determination module 710 , an acquisition module 720 , a reading module 730 , a second determination module 740 and a third determination module 750 .

[0115] The first determination module 710 is used to determine the current temperature deviation of the equipment compartment in the train, wherein the current temperature deviation is obtained based on the preset expected temperature of the equipment compartment and the current measured temperature of the equipment compartment. In one embodiment, the first determination module 710 can be used to perform the operation S210 described above, which will not be repeated here.

[0116] The acquisition module 720 is used to acquire the current operating condition of the train when the current temperature deviation is greater than a preset threshold. In one embodiment, the acquisition module 720 can be used to perform the operation S220 described above, which will not be described in detail here.

[0117] The reading module 730 is used to read multiple groups of historical operating frequencies of the frequency converter in the train in the historical time period from the database. In one embodiment, the reading module 730 can be used to perform the operation S230 described above, which will not be repeated here.

[0118] The second determination module 740 is used to determine a reference historical operating frequency from multiple groups of historical operating frequencies according to the current operating condition. In one embodiment, the second determination module 740 can be used to perform the operation S240 described above, which will not be described in detail here.

[0119] The third determination module 750 is used to determine the current operating frequency of the inverter using a preset fuzzy iterative control algorithm based on the reference historical operating frequency and the preset error correction term. In one embodiment, the third determination module 750 can be used to perform the operation S250 described above, which will not be repeated here.

[0120] According to an embodiment of the present disclosure, the third determination module includes a calculation submodule.

[0121] The calculation submodule is used to calculate the sum of the reference historical operating frequency and the first preset error correction item, the second preset error correction item, and the third preset error correction item to obtain the current operating frequency of the inverter.

[0122] According to an embodiment of the present disclosure, the control device for the operating frequency of the frequency converter further includes a fourth determination module, a fifth determination module, a sixth determination module, and a seventh determination module.

[0123] The fourth determination module is used to determine the reference error function corresponding to the reference historical operating frequency based on the reference historical expected temperature and the reference historical measured temperature of the equipment compartment corresponding to the reference historical operating frequency; the fifth determination module is used to determine the first preset error correction item based on the first iterative learning rate parameter and the reference error function; the sixth determination module is used to determine the second preset error correction item based on the second iterative learning rate parameter and the reference error function; the seventh determination module is used to determine the third preset error correction item based on the third iterative learning rate parameter and the reference error function.

[0124] According to an embodiment of the present disclosure, the device for controlling the operating frequency of the frequency converter further includes a regulating module.

[0125] The regulation module is used to adjust the speed of the cooling fan in the train according to the current operating frequency of the inverter.

[0126] According to an embodiment of the present disclosure, the device for controlling the operating frequency of the frequency converter further includes an eighth determination module and a storage module.

[0127] The eighth determination module is used to determine the current equipment compartment working error corresponding to the current working frequency; the storage module is used to store the current working frequency, the current operating condition, and the current equipment compartment working error in a database.

[0128] According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits, or at least part of the functions of any one of them can be implemented in one module. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be split into multiple modules for implementation. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be at least partially implemented as hardware circuits, such as field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), systems on chips, systems on substrates, systems on packages, application specific integrated circuits (ASICs), or can be implemented by hardware or firmware in any other reasonable way of integrating or packaging circuits, or can be implemented in any one of the three implementation methods of software, hardware, and firmware, or in any appropriate combination of any of them. Alternatively, according to the embodiments of the present invention, one or more of the modules, submodules, units, and subunits can be at least partially implemented as computer program modules, and when the computer program modules are run, the corresponding functions can be performed.

[0129] For example, any of the first determination module 710, the acquisition module 720, the reading module 730, the second determination module 740, and the third determination module 750 can be combined in one module / unit / sub-unit for implementation, or any of the modules / units / sub-units can be split into multiple modules / units / sub-units. Alternatively, at least part of the functions of one or more of these modules / units / sub-units can be combined with at least part of the functions of other modules / units / sub-units and implemented in one module / unit / sub-unit. According to an embodiment of the present disclosure, at least one of the first determination module 710, the acquisition module 720, the reading module 730, the second determination module 740, and the third determination module 750 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or by any one of the three implementation methods of software, hardware, and firmware, or by a suitable combination of any of them. Alternatively, at least one of the first determination module 710 , the acquisition module 720 , the reading module 730 , the second determination module 740 and the third determination module 750 may be at least partially implemented as a computer program module, which may perform corresponding functions when executed.

[0130] It should be noted that the data processing system part in the embodiments of the present disclosure corresponds to the data processing method part in the embodiments of the present disclosure. The description of the data processing system part specifically refers to the data processing method part, which will not be repeated here.

[0131] Figure 8 A block diagram of an electronic device suitable for implementing the method described above according to an embodiment of the present disclosure is schematically shown. Figure 8 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0132] like Figure 8 As shown, the electronic device 800 according to an embodiment of the present disclosure includes a processor 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage part 808 to a random access memory (RAM) 803. The processor 801 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a dedicated microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 801 may also include an onboard memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0133] In RAM 803, various programs and data required for the operation of electronic device 800 are stored. Processor 801, ROM 802 and RAM 803 are connected to each other via bus 804. Processor 801 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 802 and / or RAM 803. It should be noted that the program can also be stored in one or more memories other than ROM 802 and RAM 803. Processor 801 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in one or more memories.

[0134] According to an embodiment of the present disclosure, the electronic device 800 may further include an input / output (I / O) interface 805, which is also connected to the bus 804. The electronic device 800 may further include one or more of the following components connected to the input / output (I / O) interface 805: an input portion 806 including a keyboard, a mouse, etc.; an output portion 807 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 808 including a hard disk, etc.; and a communication portion 809 including a network interface card such as a LAN card, a modem, etc. The communication portion 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the input / output (I / O) interface 805 as needed. A removable medium 811, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 810 as needed, so that the computer program read therefrom is installed into the storage portion 808 as needed.

[0135] According to an embodiment of the present disclosure, the method flow according to an embodiment of the present disclosure can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 809, and / or installed from the removable medium 811. When the computer program is executed by the processor 801, the above-mentioned functions defined in the system of the embodiment of the present disclosure are executed. According to an embodiment of the present disclosure, the system, equipment, device, module, unit, etc. described above can be implemented by a computer program module.

[0136] The present disclosure also provides a train, comprising the above electronic device.

[0137] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0138] According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. For example, it may include, but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0139] For example, according to an embodiment of the present disclosure, the computer-readable storage medium may include the ROM 802 and / or the RAM 803 described above and / or one or more memories other than the ROM 802 and the RAM 803 .

[0140] The embodiments of the present disclosure also include a computer program product, which includes a computer program, and the computer program contains program code for executing the method provided by the embodiments of the present disclosure. When the computer program product runs on an electronic device, the program code is used to enable the electronic device to implement the method for controlling the operating frequency of the inverter provided by the embodiments of the present disclosure.

[0141] When the computer program is executed by the processor 801, the above functions defined in the system / device of the embodiment of the present disclosure are executed. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0142] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 809, and / or installed from a removable medium 811. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0143] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0144] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions. It can be understood by those skilled in the art that the features recorded in the various embodiments of the present disclosure can be combined and / or combined in a variety of ways, even if such a combination or combination is not explicitly recorded in the present disclosure. In particular, without departing from the spirit and teaching of the present disclosure, the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0145] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A method for controlling the operating frequency of a frequency converter, comprising: Determining a current temperature error of an equipment compartment in the train, wherein the current temperature error is obtained based on a preset expected temperature of the equipment compartment and a current measured temperature of the equipment compartment; When the current temperature error is greater than a preset threshold, obtaining the current operating condition of the train; Reading multiple groups of historical operating frequencies of the frequency converter in the train within a historical time period from a database; Determining a reference historical operating frequency from a plurality of groups of historical operating frequencies according to the current operating condition; Based on the reference historical operating frequency and the preset error correction term, a preset fuzzy iterative control algorithm is used to determine the current operating frequency of the frequency converter.

2. The method according to claim 1, wherein: The reference historical operating condition corresponding to the reference historical operating frequency is the same as the current operating condition; or The reference historical operating condition is the same as the current operating condition, and the historical equipment compartment operating error corresponding to the historical operating frequency meets the preset numerical condition.

3. The method according to claim 2, wherein: The current operating condition includes at least one of the following: the current operating speed of the train, the current geographical location, the current environment, and the current train temperature; The reference historical operating conditions include at least one of the following: the historical operating speed, historical geographical location, historical environment, and historical train temperature of the train.

4. The method according to claim 1, wherein: The preset error correction term includes a first preset error correction term, a second preset error correction term, and a third preset error correction term; Determining the current operating frequency of the inverter by using a preset fuzzy iterative control algorithm based on the reference historical operating frequency and the preset error correction term includes: The sum of the reference historical operating frequency and the first preset error correction term, the second preset error correction term, and the third preset error correction term is calculated to obtain the current operating frequency of the inverter.

5. The method according to claim 4, wherein: The method further comprises: Determining a reference error function corresponding to the reference historical operating frequency based on a reference historical expected temperature and a reference historical measured temperature of the equipment compartment corresponding to the reference historical operating frequency; Determining the first preset error correction term based on the first iterative learning rate parameter and the reference error function; Determining the second preset error correction term based on the second iterative learning rate parameter and the reference error function; The third preset error correction term is determined based on the third iterative learning rate parameter and the reference error function.

6. The method according to claim 1, wherein: The method further comprises: The rotation speed of the cooling fan in the train is adjusted according to the current operating frequency of the inverter.

7. The method according to claim 1, wherein: The method further comprises: Determine a current equipment compartment operating error corresponding to the current operating frequency; The current operating frequency, the current operating condition, and the current equipment compartment operating error are stored in the database.

8. A control device for the operating frequency of a frequency converter, comprising: A first determination module is used to determine a current temperature deviation of an equipment compartment in a train, wherein the current temperature deviation is obtained based on a preset expected temperature of the equipment compartment and a current measured temperature of the equipment compartment; An acquisition module, used for acquiring the current operating condition of the train when the current temperature deviation is greater than a preset threshold; A reading module, used for reading from a database a plurality of groups of historical operating frequencies of the frequency converter in the train within a historical time period; A second determination module, configured to determine a reference historical operating frequency from a plurality of groups of historical operating frequencies according to the current operating condition; The third determination module is used to determine the current operating frequency of the inverter by using a preset fuzzy iterative control algorithm based on the reference historical operating frequency and a preset error correction term.

9. An electronic device, comprising: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors are enabled to execute the method according to any one of claims 1 to 7.

10. A train comprising: The electronic device as claimed in claim 9.

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