Charging module heat dissipation control method based on predictive PID control and storage medium

Abstract

The application relates to the technical field of charging piles and discloses a charging module heat dissipation control method based on a predictive PID control and a storage medium, the method comprising the following steps: acquiring a temperature controlled model corresponding to the real-time temperature of a charging module; determining the transfer function of a predictive PID controller according to the temperature controlled model and the controlled object parameters related to the temperature controlled model; and outputting a system output control quantity of the charging module based on the predictive PID controller according to the transfer function of the predictive PID controller. In the application, the output response relationship of the control system is revealed according to the transfer function of the predictive PID controller, the system output control quantity based on the predictive PID controller is output, and the noise of the charging pile and the fan loss of the charging module can be reduced to the maximum extent.

Description

Technical Field

[0001] This invention relates to the field of charging pile technology, and in particular to a heat dissipation control method and storage medium for charging modules based on predictive PID control. Background Technology

[0002] To address the gradual depletion of primary energy sources, increasingly severe environmental pollution, and global warming, new energy vehicles are considered a crucial development direction, driving the growth of the charging pile industry. Charging modules are the core component of DC charging piles; all DC charging piles require a certain number of charging modules to convert AC to DC power before directly supplying DC power to the vehicle for fast charging. Currently, the most commonly used charging modules on the market have capacities of 15kW, 20kW, 30kW, or 40kW. Larger capacities require greater heat dissipation. In terms of cost, most charging modules use high-speed fans for cooling, resulting in relatively high noise levels during operation. For example, some manufacturers produce 40kW charging modules where a single module can generate up to 80dB of noise during normal operation, causing serious noise pollution. Summary of the Invention

[0003] This invention aims to at least partially solve one of the technical problems in related technologies. To this end, this invention proposes a heat dissipation control method for charging modules based on predictive PID control and a storage medium, which can reduce charging pile noise and charging module fan losses.

[0004] In a first aspect, embodiments of the present invention provide a heat dissipation control method for a charging module based on predictive PID control, comprising the following steps: Step S1: Obtain the temperature control model corresponding to the real-time temperature of the charging module; Step S2: Determine the transfer function of the predictive PID controller based on the temperature controlled model and the pre-determined parameters of the controlled object involved in the temperature controlled model; Step S3: Output the system output control quantity of the charging module based on the predictive PID controller according to the transfer function of the predictive PID controller.

[0005] Optionally, in one embodiment of the present invention, the temperature-controlled model adopts a second-order plus pure time delay model, and the controlled object parameters involved in the temperature-controlled model include gain, integral time constant, and pure time delay. The temperature-controlled model is as follows: ; in, This is the temperature control model corresponding to the real-time temperature of the charging module. Indicates the gain. This represents the integration time constant. This represents the pure delay time.

[0006] Optionally, in one embodiment of the present invention, step S2 includes the following steps: Step S21: Determine the closed-loop transfer function corresponding to the controlled fan speed process of the charging module, wherein the closed-loop transfer function is as follows: ; The closed-loop transfer function is... It is an adjustable variable used to characterize the closed-loop response speed of the fan speed control process of the charging module; Step S22: Determine the transfer function of the predictive PID controller based on the closed-loop transfer function, the temperature controlled model, the gain, the integral time constant, and the pure delay time.

[0007] Optionally, in one embodiment of the present invention, the transfer function of the predictive PID controller is: , As shown below: .

[0008] Optionally, in one embodiment of the present invention, step S3 includes the following steps: Step S31: Output the PID control quantity and the predictive control quantity respectively according to the transfer function of the predictive PID controller; Step S32: Obtain the difference between the PID control quantity and the predicted control quantity to obtain the system output control quantity of the charging module based on the predicted PID controller.

[0009] Optionally, in one embodiment of the present invention, the charging module is based on the system output control quantity of the predictive PID controller as follows: , As shown below: ; in, This signal represents the difference between the temperature setpoint and the real-time temperature of the charging module. This indicates the output control quantity of the fan speed of the charging module.

[0010] In a second aspect, embodiments of the present invention provide an electronic device, comprising: At least one processor; At least one memory for storing at least one program; When at least one of the programs is executed by at least one of the processors, the heat dissipation control method for the charging module based on predictive PID control as described in the first aspect is implemented.

[0011] Thirdly, embodiments of the present invention provide a computer-readable storage medium storing a processor-executable program, which, when executed by a processor, is used to implement the heat dissipation control method for a charging module based on predictive PID control as described in the first aspect.

[0012] The present invention proposes a charging module heat dissipation control method and storage medium based on predictive PID control. By monitoring the real-time temperature of the charging module to model it, a temperature control model corresponding to the real-time temperature of the charging module is obtained. This temperature control model involves relevant controlled object parameters. Therefore, the transfer function of the predictive PID controller can be further determined based on the temperature control model and all controlled object parameters. This transfer function serves as the output response relationship of the entire control system. Thus, the system output control quantity of the charging module based on the predictive PID controller can be determined and output according to the transfer function of the predictive PID controller. For example, during control, when the charging current of the charging vehicle is small and the charging module temperature is low, the system output control quantity causes the fan speed to decrease appropriately, thereby reducing noise and thus reducing the noise of the entire charging pile. This can minimize the noise of the charging pile and the fan loss of the charging module. Attached Figure Description

[0013] Figure 1 This is a flowchart of a charging module heat dissipation control method based on predictive PID control provided in an embodiment of the present invention; Figure 2 yes Figure 1 The flowchart of step S2 in the process; Figure 3 yes Figure 1 The flowchart for step S3 in the process; Figure 4 This is a control system block diagram of a charging module heat dissipation control method based on predictive PID control provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0014] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0015] It should be noted that although functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart.

[0016] Figure 1 This is a flowchart of a heat dissipation control method for a charging module based on predictive PID control, according to an embodiment of the present invention. The heat dissipation method for the charging module may include, but is not limited to, steps S1 to S3.

[0017] Step S1: Obtain the temperature control model corresponding to the real-time temperature of the charging module; Step S2: Determine the transfer function of the predictive PID controller based on the temperature controlled model and the pre-determined parameters of the controlled object involved in the temperature controlled model; Step S3: Based on the transfer function of the predictive PID controller, output the system output control quantity of the charging module based on the predictive PID controller.

[0018] In this step, the real-time temperature of the charging module is monitored to model it, thereby obtaining the temperature control model corresponding to the real-time temperature of the charging module. This temperature control model involves relevant controlled object parameters. Therefore, the transfer function of the predictive PID controller can be further determined based on the temperature control model and all controlled object parameters. This transfer function serves as the output response relationship of the entire control system. Thus, the system output control quantity of the charging module based on the predictive PID controller can be determined and output based on the transfer function of the predictive PID controller. For example, during control, when the charging current of the charging vehicle is small and the charging module temperature is low, the system output control quantity causes the fan speed to be appropriately reduced, thereby reducing noise and thus reducing the noise of the entire charging pile. This can minimize the noise of the charging pile and the fan loss of the charging module.

[0019] In one embodiment, considering that the parameters of the predictive PID controller can be designed based on the controlled object parameters of the temperature controlled model corresponding to the real-time temperature of the charging module, different parameters of the predictive PID controller will result in different characteristics of the controlled object parameters of the temperature controlled model. Therefore, the temperature controlled model can, but is not limited to, a second-order plus pure time delay model. The controlled object parameters involved in the temperature controlled model include gain, integral time constant, and pure time delay. The temperature controlled model is as follows: ; in, This is the temperature control model corresponding to the real-time temperature of the charging module. Indicates gain. Represents the integration time constant. This represents the pure delay time.

[0020] like Figure 2 As shown, in one embodiment of the present invention, step S2 may include, but is not limited to, the following steps: Step S21: Determine the closed-loop transfer function corresponding to the controlled process of the fan speed of the charging module; Step S22: Determine the transfer function of the predictive PID controller based on the closed-loop transfer function, the temperature controlled model, the gain, the integral time constant, and the pure delay time.

[0021] In this step, the closed-loop transfer function reflects the output response relationship. Therefore, we first determine the closed-loop transfer function corresponding to the controlled process of the fan speed of the charging module to determine the overall output response relationship of the controlled process of the fan speed. Then, based on the closed-loop transfer function, combined with the temperature controlled model, gain, integral time constant and pure delay time, we can simultaneously determine the transfer function of the predictive PID controller.

[0022] Specifically, the closed-loop transfer function corresponding to the controlled fan speed process of the charging module is: It can be, but is not limited to, the following: ; It is an adjustable variable used to characterize the closed-loop response speed of the fan speed control process of the charging module; Correspondingly, the transfer function of the predictive PID controller can be, but is not limited to, […]. , As shown below: .

[0023] like Figure 3 As shown, in one embodiment of the present invention, step S3 may include, but is not limited to, the following steps: Step S31: Output the PID control quantity and the predictive control quantity respectively according to the transfer function of the predictive PID controller; Step S32: Obtain the difference between the PID control quantity and the predictive control quantity to obtain the system output control quantity of the charging module based on the predictive PID controller.

[0024] In this step, the introduction of predictive control is to overcome the adverse effects of the large pure delay during the operation of the charging module on the module temperature control. It can predict the future control action based on the control action in a certain period of time in the past, thus improving the blind constant speed control. The role of PID control is to ensure that the predictive PID controller has good robustness, so that the control system can still maintain good control performance when different disturbances exist and / or the model parameters change. Therefore, the system output control of the charging module based on the predictive PID controller is obtained by combining the above two. The corresponding control effect is better and more stable, and it is more conducive to matching the temperature change of the charging module, so as to reduce noise more conveniently and effectively during use.

[0025] In one embodiment, such as Figure 4 As shown, the system output control quantity of the charging module based on the predictive PID controller is: , It can be, but is not limited to, the following: ; in, This signal represents the difference between the temperature setpoint and the real-time temperature of the charging module. This indicates the output control value of the fan speed of the charging module. This temperature setpoint can be set according to the actual scenario and is not limited here. Figure 4 The one shown This is the temperature setpoint. Figure 4 The electronic controller in the system can, but is not limited to, using a conventional algorithm controller; the PID control variable is... Predictive control quantity is , It is a proportionality constant. Let be the integration constant. As is the differential constant, it can be seen that the predictive control variable plays a role in... The predicted output value for temperature control of the charging module at any given time interval ( [Control function]

[0026] In one embodiment, , and The initial parameter values ​​can be obtained, but are not limited to, through trial and error. First, the proportional value is changed until it is determined that the fan speed deviation is decreasing; this yields a preliminary proportional value. Then, the integral value is changed until it is determined that the fan speed deviation continues to decrease; this yields an initial integral value. Finally, the derivative value is changed until it is determined that the fan speed deviation continues to decrease; this yields an initial derivative value. In this embodiment, the parameters are obtained through the above method. , , ; Specifically, assuming the charging module of the charging pile is set to a temperature of 45℃, if the current charging current of the charging pile is 50A, then when the actual detected temperature inside the pile is 45℃, the fan speed will not be adjusted. If the detected temperature inside the pile at the current moment minus the set temperature is a positive deviation, then the predictive PID controller will be adjusted to increase the fan speed increment for cooling. If the temperature inside the pile at the current moment minus the set temperature is a negative deviation, then the predictive PID controller will be adjusted to decrease the fan speed increment, and cooling is not required at the current moment. Adjustments can be made in increments of 5℃, and the minimum fan speed is set to 0. Under these conditions, if the current temperature deviation is within 0~5℃, it will decrease or increase by one order of magnitude; within 5~10℃, it will decrease or increase by two orders of magnitude; within 10~15℃, it will decrease or increase by three orders of magnitude, and so on.

[0027] In one embodiment, considering the robustness of the predictive PID control algorithm provided by this invention, we will take the 100% operating condition of the charging module temperature control object as an example to analyze the impact of changes in the control system on system performance when the gain, integral time constant, and pure delay time change. For example, assuming that the gain, integral time constant, and pure delay time corresponding to the charging module temperature control object each increase by 5%, then in When a step disturbance signal is input to the system, the temperature control system corresponding to the predictive PID control algorithm provided in this embodiment of the invention has superior robustness compared to the temperature control system corresponding to the traditional PID control algorithm.

[0028] Figure 5 This is a schematic diagram of the structure of an electronic device 1000 provided in an embodiment of the present invention. For example... Figure 5 As shown, the electronic device 1000 may include, but is not limited to, a memory 1100 and a processor 1200. The number of memories 1100 and processors 1200 may be one or more. Figure 5 Taking a memory 1100 and a processor 1200 as an example; the memory 1100 and the processor 1200 in the device can be connected via a bus or other means. Figure 5 Taking the example of a connection between China and Israel via a bus.

[0029] The memory 1100, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the charging module heat dissipation control method based on predictive PID control provided in any embodiment of the present invention. The processor 1200 implements the above-described charging module heat dissipation control method based on predictive PID control by running the software programs, instructions, and modules stored in the memory 1100.

[0030] The memory 1100 may primarily include a program storage area and a data storage area, wherein the program storage area may store the operating system and application programs required for at least one function. Furthermore, the memory 1100 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 1100 may further include memory remotely located relative to the processor 1200, and these remote memories can be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0031] An embodiment of the present invention also provides a computer-readable storage medium storing computer-executable instructions for performing a charging module heat dissipation control method based on predictive PID control as provided in any embodiment of the present invention.

[0032] An embodiment of the present invention also provides a computer program product, including a computer program or computer instructions, which are stored in a computer-readable storage medium. A processor of a computer device reads the computer program or computer instructions from the computer-readable storage medium and executes the computer program or computer instructions, causing the computer device to perform a charging module heat dissipation control method based on predictive PID control as provided in any embodiment of the present invention.

[0033] The electronic devices and application scenarios described in the embodiments of this invention are for the purpose of more clearly illustrating the technical solutions of the embodiments of this invention, and do not constitute a limitation on the technical solutions provided by the embodiments of this invention. As those skilled in the art will know, with the evolution of electronic devices and the emergence of new application scenarios, the technical solutions provided by the embodiments of this invention are also applicable to similar technical problems.

[0034] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0035] In hardware implementations, the division between functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0036] The terms “component,” “module,” “system,” etc., used in this specification are used to refer to computer-related entities, hardware, firmware, combinations of hardware and software, software, or software in execution. For example, a component can be, but is not limited to, a process running on a processor, a processor, an object, an executable file, an execution thread, a program, or a computer. As illustrated, applications running on computing devices and computing devices can both be components. One or more components may reside in a process or execution thread, and components may be located on a single computer or distributed among two or more computers. Furthermore, these components can be executed from various computer-readable media on which various data structures are stored. Components can communicate, for example, via local or remote processes based on signals having one or more data packets (e.g., data from two components interacting with another component between a local system, a distributed system, or a network, such as the Internet interacting with other systems via signals).

Claims

1. A method for heat dissipation control of a charging module based on predictive PID control, characterized in that, Includes the following steps: Step S1: Obtain the temperature control model corresponding to the real-time temperature of the charging module; Step S2: Determine the transfer function of the predictive PID controller based on the temperature controlled model and the pre-determined parameters of the controlled object involved in the temperature controlled model; Step S3: Output the system output control quantity of the charging module based on the predictive PID controller according to the transfer function of the predictive PID controller.

2. The heat dissipation control method for a charging module based on predictive PID control according to claim 1, characterized in that, The temperature control model adopts a second-order plus pure time delay model. The controlled object parameters involved in the temperature control model include gain, integral time constant, and pure time delay. The temperature control model is as follows: ； in, This is the temperature control model corresponding to the real-time temperature of the charging module. Indicates the gain. This represents the integration time constant. This represents the pure delay time.

3. The heat dissipation control method for a charging module based on predictive PID control according to claim 2, characterized in that, Step S2 includes the following steps: Step S21: Determine the closed-loop transfer function corresponding to the controlled fan speed process of the charging module, wherein the closed-loop transfer function is as follows: ； The closed-loop transfer function is... It is an adjustable variable used to characterize the closed-loop response speed of the fan speed control process of the charging module; Step S22: Determine the transfer function of the predictive PID controller based on the closed-loop transfer function, the temperature controlled model, the gain, the integral time constant, and the pure delay time.

4. The heat dissipation control method for a charging module based on predictive PID control according to claim 3, characterized in that, The transfer function of the predictive PID controller is , As shown below: 。 5. The heat dissipation control method for a charging module based on predictive PID control according to claim 4, characterized in that, Step S3 includes the following steps: Step S31: Output the PID control quantity and the predictive control quantity respectively according to the transfer function of the predictive PID controller; Step S32: Obtain the difference between the PID control quantity and the predicted control quantity to obtain the system output control quantity of the charging module based on the predicted PID controller.

6. The heat dissipation control method for a charging module based on predictive PID control according to claim 5, characterized in that, The charging module is based on the system output control quantity of the predictive PID controller. , As shown below: ； in, This signal represents the difference between the temperature setpoint and the real-time temperature of the charging module. This indicates the output control quantity of the fan speed of the charging module.

7. An electronic device, characterized in that, include: At least one processor; At least one memory for storing at least one program; When at least one of the programs is executed by at least one of the processors, the heat dissipation control method for a charging module based on predictive PID control as described in any one of claims 1 to 6 is implemented.

8. A computer-readable storage medium, characterized in that, It stores a processor-executable program, which, when executed by the processor, is used to implement the heat dissipation control method for a charging module based on predictive PID control as described in any one of claims 1 to 6.

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