A method for controlling the running state of a charging pile charging module and a storage medium

Abstract

The application relates to the technical field of charging piles and discloses a running state control method of a charging pile charging module and a storage medium, the method comprising the following steps: acquiring current key running parameters of the charging module, and determining a current health degree index of the charging module according to the key running parameters, wherein the key running parameters comprise real-time signal output; determining current control signal output of the charging module based on a PID control unit in combination with the health degree index and the real-time signal output; and adaptively controlling the running state of the charging module according to the control signal output, the real-time signal output and the health degree index. In the application, a charging module health degree evaluation mechanism is introduced, so that the overall control strategy has self-perception ability, the reliability of the charging module is improved, the charging module is ensured to safely and stably operate in a healthy state, the wear of key components of the charging module is further reduced, and the service life of the charging module is prolonged.

Description

Technical Field

[0001] This invention relates to the field of charging pile technology, and in particular to a method for controlling the operating status of a charging pile charging module, an electronic device, and a computer-readable storage medium. Background Technology

[0002] With the rapid development of the new energy industry, charging modules, as the core component for energy conversion in charging piles, are widely used in electric vehicles and energy storage systems. Currently, most charging modules on the market adjust their output based on fixed parameters on a time-based or time-sharing basis. While this improves the operating performance and stability of the charging modules to some extent, it lacks the ability to respond to complex operating conditions. In particular, under conditions such as sudden load changes, temperature rises, or fluctuations in input voltage and current, it is difficult to maintain a stable operating state, which can easily lead to problems such as overheating and overload, thereby affecting the reliability and service life of the charging modules. 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 method for controlling the operating status of a charging module in a charging pile and a storage medium, which can improve the reliability of the charging module and extend its service life.

[0004] In a first aspect, embodiments of the present invention provide a method for controlling the operating status of a charging module in a charging pile, comprising:

[0005] The current key operating parameters of the charging module are obtained, and the current health index of the charging module is determined based on the key operating parameters, wherein the key operating parameters include the real-time signal output.

[0006] The current control signal output of the charging module is determined based on the PID control unit combined with the health index and the real-time signal output.

[0007] The operating status of the charging module is adaptively controlled based on the control signal output, the real-time signal output, and the health index.

[0008] Optionally, in one embodiment of the present invention, when there are multiple key operating parameters, determining the current health index of the charging module based on the key operating parameters includes:

[0009] Calculate the health impact coefficient of each of the key operating parameters;

[0010] For each of the key operating parameters, the product of the corresponding health impact coefficient and the preset health assessment weight is obtained to obtain the health contribution.

[0011] The sum of all the health contributions is obtained to get the current health index of the charging module.

[0012] Optionally, in one embodiment of the present invention, determining the current control signal output of the charging module based on the PID control unit in conjunction with the health index and the real-time signal output includes:

[0013] The difference between the preset target signal output and the real-time signal output is obtained to obtain the deviation.

[0014] Generate a weighting factor function associated with the health index based on the health index;

[0015] The PID control coefficient of the PID control unit is determined based on the weighting factor function and the preset correction parameters.

[0016] The current control signal output of the charging module is determined based on the PID control coefficient and the deviation.

[0017] Optionally, in one embodiment of the present invention, when the real-time signal output is the real-time output current and the target signal output is the target output current, the preset correction parameters include deviation correction parameters, integral correction parameters, and derivative correction parameters. The current control signal output of the charging module is determined by combining the PID control coefficients and the deviation using the following formula:

[0018] ;

[0019] in, This refers to the current control output current of the charging module. , The deviation amount, The target output current, The real-time output current, The health index, The weighting factor function, The deviation correction parameter is... The integral correction parameter is... The differential correction parameter is denoted as .

[0020] Optionally, in one embodiment of the present invention, the adaptive control of the operating state of the charging module based on the control signal output, the real-time signal output, and the health index includes:

[0021] The difference between the control signal output and the real-time signal output is obtained to obtain the control difference.

[0022] The operating status of the charging module is adaptively controlled based on the control difference and the health index.

[0023] Optionally, in one embodiment of the present invention, the step of adaptively controlling the operating state of the charging module based on the control difference amount and the health index includes:

[0024] When the control difference is less than or equal to the minimum preset difference threshold, the current operating state of the charging module is maintained.

[0025] or,

[0026] When the control difference is greater than the minimum preset difference threshold and less than the maximum preset difference threshold, it is determined whether the health index is within the health balance threshold range. If so, the operating status of the charging module is subject to rapid response control; otherwise, the operating status of the charging module is subject to balanced response control.

[0027] or,

[0028] When the control difference is greater than or equal to the maximum preset difference threshold, it is determined whether the health index is less than the minimum health threshold. If so, the charging module is controlled to enter the protection mode; otherwise, the output intensity of the charging module is limited.

[0029] Optionally, in one embodiment of the present invention, the health index of the charging module is continuously acquired within a preset time period;

[0030] The operating status of the charging module is controlled in real time based on the changes in the health index of the charging module within the preset time period.

[0031] Secondly, embodiments of the present invention provide an electronic device disposed in a charging pile, comprising:

[0032] At least one processor;

[0033] At least one memory for storing at least one program;

[0034] When at least one of the programs is executed by at least one of the processors, the method for controlling the operating state of the charging module of the charging pile as described in the first aspect is implemented.

[0035] 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 operation state control method for a charging pile charging module as described in the first aspect.

[0036] This invention proposes a method and storage medium for controlling the operating status of a charging module in a charging pile. By real-time acquisition and analysis of key operating parameters during the operation of the charging module, a health index is determined based on the current state of the charging module. Then, based on a PID control unit and the obtained health index and real-time signal output, the current control signal output of the charging module is predicted. Thus, the operating status of the charging module is dynamically adjusted according to the control signal output, real-time signal output, and health index. It can be seen that by introducing a charging module health assessment mechanism, the overall control strategy has self-awareness capabilities, improving the reliability of the charging module, ensuring that the charging module operates safely and stably in a healthy state, further reducing the wear and tear on key components of the charging module, and extending the service life of the charging module. Attached Figure Description

[0037] Figure 1 This is a flowchart of a method for controlling the operating status of a charging module in a charging pile according to an embodiment of the present invention;

[0038] Figure 2 yes Figure 1 A partial flowchart of step S1000, "Determine the current health index of the charging module based on key operating parameters";

[0039] Figure 3 yes Figure 1 The flowchart of step S2000 in the middle;

[0040] Figure 4 yes Figure 1 The flowchart of step S3000 in the middle;

[0041] Figure 5 This is a flowchart of a method for controlling the operating status of a charging module in a charging pile, provided in another embodiment of the present invention;

[0042] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0043] 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.

[0044] 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.

[0045] Figure 1This is a flowchart illustrating a method for controlling the operating status of a charging module in a charging pile, as provided in an embodiment of the present invention. Figure 1 As shown, the method for controlling the operating status of the charging module of the charging pile may include, but is not limited to, steps S1000 to S3000.

[0046] Step S1000: Obtain the current key operating parameters of the charging module, and determine the current health index of the charging module based on the key operating parameters. The key operating parameters may include, but are not limited to, the real-time signal output.

[0047] It should be noted that there can be multiple key operating parameters, and their specific types can be set according to the specific scenario. There are no restrictions here. For example, they can also include, but are not limited to, electrical state parameters such as output voltage, output current, rated current and rated power, temperature-related parameters such as air inlet temperature, PFC cavity temperature and PFC hot spot temperature, and charging module status parameters such as charging module output overvoltage, charging module output overcurrent and charging module overtemperature.

[0048] Step S2000: Based on the PID control unit combined with the health index and real-time signal output, determine the current control signal output of the charging module. The PID control unit can be, but is not limited to, commercially available PID control units or other related control devices that can achieve PID control functions. There are no restrictions here.

[0049] Step S3000: Adaptive control of the charging module's operating status is performed based on the control signal output, real-time signal output, and health index.

[0050] In this step, key operating parameters of the charging module are collected and analyzed in real time to determine the health index of the charging module under its current state. Then, based on the PID control unit and the obtained health index and real-time signal output, the current control signal output of the charging module is predicted. Thus, the operating state of the charging module is dynamically adjusted according to the control signal output, real-time signal output, and health index. It can be seen that by introducing a charging module health assessment mechanism, the overall control strategy has self-awareness, which improves the reliability of the charging module, ensures that the charging module operates safely and stably in a healthy state, further reduces the wear and tear of key components in the charging module, and extends the service life of the charging module.

[0051] In one embodiment, the real-time signal output quantity may be, but is not limited to, operating state parameters such as real-time output current, real-time output voltage, and real-time output power. The basic principles are similar. To avoid redundancy, the following embodiments mainly use the case of using real-time output current for PID control examples, but should not be construed as an arbitrary limitation.

[0052] like Figure 2 As shown in one embodiment of the present invention, when there are multiple key operating parameters, the step "determine the current health index of the charging module based on the key operating parameters" in step S1000 may include, but is not limited to, the following steps:

[0053] Step S1100: Calculate the health impact coefficient of each key operating parameter;

[0054] Step S1200: For each key operating parameter, obtain the product of the corresponding health impact coefficient and the preset health assessment weight to obtain the health contribution.

[0055] Step S1300: Obtain the sum of all health contributions to get the current health index of the charging module.

[0056] In this step, several key operating parameters are selected, and the current health index of the charging module is calculated through a multi-parameter weighted scoring method. This provides feedback for the adaptive PID control in the subsequent process, thereby achieving the goal of further optimizing the PID control strategy.

[0057] In one embodiment, the health impact coefficients of different key operating parameters may vary and need to be determined by those skilled in the art based on the actual scenario. No limitation is imposed here, and specific examples are given below for illustration:

[0058] Assuming that all the key operating parameters used are PFC chamber temperature, output voltage fluctuation parameters, output current fluctuation parameters, load factor (i.e., the ratio of actual output current to rated output current), high load duration (i.e., the cumulative time of operation under high load in the current cycle) and overcurrent count, one of the key operating parameters is PFC chamber temperature, which has a corresponding health assessment weight of 0.25, and the health assessment weights of the other key operating parameters are all 0.15.

[0059] For example, the health impact coefficient corresponding to the PFC chamber temperature can be, but is not limited to, a piecewise linear function as shown below:

[0060] ;

[0061] in, This represents the health impact coefficient corresponding to the temperature of the PFC chamber. This refers to the PFC chamber temperature. The preset PFC chamber equilibrium temperature, This is the preset maximum temperature of the PFC chamber;

[0062] For example, the health impact coefficients corresponding to output voltage fluctuation parameters and output current fluctuation parameters can, but are not limited to, adopt exponential decay functions. Taking output voltage fluctuation parameters as an example:

[0063] ;

[0064] in, This refers to the health impact coefficient corresponding to the output voltage fluctuation parameter. For output voltage fluctuation parameters, This is the rated output voltage. This is the preset voltage fluctuation sensitivity coefficient;

[0065] For example, the health impact coefficients corresponding to load rate, high load duration, and overcurrent count can all be, but are not limited to, exponential functions. Taking high load duration as an example: ;

[0066] in, This represents the health impact coefficient corresponding to the duration of high load. For high load duration, This is the preset impact factor.

[0067] Based on the above formula, we can obtain: ;

[0068] in, For health index, This indicates the various key operating parameters. Assign health assessment weights to each key operating parameter.

[0069] It should be noted that the PFC cavity temperature directly reflects the operating temperature of the PFC circuit. The PFC circuit is the area with the highest power density and the most concentrated thermal stress in the charging module. The junction temperature of its power devices directly affects device lifespan. High temperatures accelerate material aging, wire bonding failure, solder joint cracking, and other degradation processes. Long-term high-temperature operation will significantly shorten the charging module's lifespan; therefore, it is evaluated as a key operating parameter. Output voltage and output current stability are important indicators for evaluating the charging module's control performance and filtering capability. Excessive fluctuations will affect charging quality and exacerbate component losses; therefore, they are also evaluated as key operating parameters. High load duration mainly refers to... The duration of continuous operation of the charging module at over 80% of its rated load is crucial. Prolonged high-load operation accumulates thermal and electrical stress, which is a major cause of device fatigue and thermal cycling failure. Therefore, it is evaluated as a critical operating parameter. The load rate reflects the working intensity of the charging module. A high load rate means higher current density and electrothermal load, directly affecting the lifespan of power devices and the heat dissipation system. Therefore, it is evaluated as a critical operating parameter. Each overcurrent event causes a sudden surge of large current, which may lead to device overheating, melting, or damage to the drive circuit. Frequent occurrences seriously threaten the reliability of the charging module. Therefore, the number of overcurrent events is evaluated as a critical operating parameter.

[0070] In one embodiment, The initial values ​​can be set according to the importance of each key operating parameter to the health of the charging module based on empirical analysis. Since the dominant factors of subsequent degradation of the charging module may change in different geographical regions and operating scenarios, such as thermal stress being the main cause of device failure in high-temperature areas and frequent start-stop of fast charging stations leading to multiple overcurrent impacts, a fixed-weight health model may be difficult to adapt to variable operating conditions. Therefore, an environmental adaptive weight adjustment mechanism is proposed, which incorporates ambient temperature. (Can be sampled as the air inlet temperature of the charging module) and start / stop frequency These two key environmental adjustment factors (i.e., the number of times the charging module starts and stops per unit time) are used to construct a weighted adjustment function for... initial value Perform dynamic correction: ;

[0071] in, For the first The real-time health assessment weights of key operating parameters under the current environment. For the first Initial health assessment weights for key operating parameters This is the environmental regulation coefficient, which depends on environmental factors. , here Normalization can be performed;

[0072] The following specific examples illustrate the process of dynamically adjusting the weights of each key operating parameter.

[0073] For example, in high-temperature environments, increasing the PFC chamber temperature (corresponding to...) ) and high load duration (corresponding to Health assessment weighting:

[0074] ;

[0075] ;

[0076] in, As the reference temperature, and These are the first and second weighting adjustment factors, which can be set to 0.1 and 0.08 respectively. Assuming the current... If it is 45℃, then and They are 1.2 and 1.16 respectively;

[0077] In scenarios with frequent start-stop cycles, increase the number of overcurrent cycles (corresponding to...) ) and output current fluctuation parameters (corresponding to Health assessment weighting:

[0078] ;

[0079] ;

[0080] in, This indicates the normal start / stop frequency, assumed to be 2 times / hour. This can be adjusted based on actual conditions. and The values ​​are 0.15 and 0.1 respectively. Assuming the current... If it is 6 times / hour, then and They are 1.3 and 1.2 respectively;

[0081] The above dynamic correction was calculated. Then, normalization can be performed separately, and the normalized health assessment weights are... It can be represented as: .

[0082] like Figure 3 As shown, in one embodiment of the present invention, step S2000 may include, but is not limited to, the following steps:

[0083] Step S2100: Obtain the difference between the preset target signal output and the real-time signal output to obtain the deviation.

[0084] Step S2200: Generate a weighting factor function related to the health index based on the health index;

[0085] Step S2300: Determine the PID control coefficient of the PID control unit based on the weighting factor function and the preset correction parameters;

[0086] Step S2400: Determine the current control signal output of the charging module based on the PID control coefficient and the deviation.

[0087] In this step, a weighting factor function associated with the health index is generated. Then, the PID control coefficient of the PID control unit is determined based on the weighting factor function and preset correction parameters. That is, the corresponding PID control coefficient is constructed by the weighting factor function that changes with the health index, making the PID control coefficient more closely associated with the health index of the charging module. This reflects the impact of the real-time health of the charging module on the PID control. Therefore, determining the current control signal output of the charging module based on the PID control coefficient and the deviation will be more accurate and reliable, and will better take into account the impact of the real-time health of the charging module.

[0088] Specifically, taking the real-time signal output as the real-time output current and the target signal output as the target output current as an example, and setting the preset correction parameters as deviation correction parameters, integral correction parameters, and derivative correction parameters, then the current control signal output of the charging module can be determined by using, but is not limited to, the following formula combined with PID control coefficients and deviation:

[0089] ;

[0090] in, This is the current control output current of the charging module. , This is the deviation amount. For the target output current, To output current in real time, For weighting factor function, These are the deviation correction parameters. For integral correction parameters, These are the differential correction parameters.

[0091] It can be seen that by combining the weighting factor function with the deviation correction parameter, integral correction parameter and derivative correction parameter, the proportional coefficient, integral coefficient and derivative coefficient can be constructed respectively, so that the PID control coefficient can be well correlated with the health index of the charging module. This is conducive to more accurately determining the control signal output quantity that conforms to the current operating state of the charging module.

[0092] like Figure 4As shown, in one embodiment of the present invention, step S3000 may include, but is not limited to, the following steps:

[0093] Step S3100: Obtain the difference between the control signal output and the real-time signal output to obtain the control difference quantity;

[0094] Step S3200: Adaptive control of the charging module's operating status is performed based on the control difference and health index.

[0095] In this step, the control difference between the control signal output and the real-time signal output is obtained to evaluate the real-time signal output of the charging module. Since the control signal output corresponds to the current ideal signal output, the defects of the real-time signal output can be effectively identified by obtaining the control difference between the control signal output and the real-time signal output. Based on the control difference and the health index, the operating status of the charging module is adaptively controlled to achieve a more stable and reliable control effect.

[0096] In one embodiment, considering the different actual situations of control difference and health index, there can be various ways to adaptively control the operating state of the charging module. There is no limitation here. Specific examples are given below for illustration:

[0097] When the control difference is less than or equal to the minimum preset difference threshold, the current operating state of the charging module is maintained. In other words, this situation indicates that the control difference is within a small threshold range, the actual difference between the control signal output and the real-time signal output is not significant, and the current operating state of the charging module is relatively reliable. There is no need to consider the influence of the health index at this time, so the current operating state of the charging module is maintained. Alternatively, some related operating parameters of the charging module can be fine-tuned in the actual process, which is not restricted here.

[0098] Alternatively, when the control difference is greater than the minimum preset difference threshold and less than the maximum preset difference threshold, it is determined whether the health index is within the health balance threshold range (e.g., it can be set to 50%~70%). If so, the charging module's operating status is subject to rapid response control; otherwise, the charging module's operating status is subject to balanced response control. In other words, if the control difference is greater than the minimum preset difference threshold and less than the maximum preset difference threshold, it means that the control difference is within the balance threshold range. Further determination of the relative relationship between the health index and the health balance threshold range is required. If the health index is within the health balance threshold range, it means that the charging module's health is good and can support significant control adjustments. In this case, rapid response control is applied to the charging module's operating status. Otherwise, the charging module's operating status needs to be adjusted using a more moderate balanced response control method, in conjunction with the charging module's health.

[0099] It should be noted that the main difference between fast response control and balanced response control is that the former responds faster and has higher performance requirements for the charging module, while the latter responds normally and has general performance requirements for the charging module. The specific control methods involved in both can be, but are not limited to, adjusting fan speed, adjusting maximum / minimum output power (current, voltage), and adjusting load output power (current, voltage), etc. There are no restrictions here.

[0100] Alternatively, when the control difference is greater than or equal to the maximum preset difference threshold, it is determined whether the health index is less than the minimum health threshold (e.g., 30%). If so, the charging module is controlled to enter protection mode; otherwise, the output intensity of the charging module is limited. In other words, if the control difference is greater than or equal to the maximum preset difference threshold, it indicates that the control signal output and the real-time signal output differ significantly, requiring a larger-scale adjustment of the charging module to ensure it is in normal working condition. Therefore, it is necessary to determine whether the health index is less than the minimum health threshold. If so, it indicates that the current health of the charging module is at a low level and is not suitable for large-scale adjustment. In this case, the charging module is controlled to enter protection mode to improve the safety and stability of the charging module. Conversely, the output intensity of the charging module can be limited (including but not limited to output current, output voltage, or output power) to improve the safety and stability of the charging module.

[0101] like Figure 5 As shown in one embodiment of the present invention, the method for controlling the operating status of the charging module of the charging pile may further include, but is not limited to, the following steps:

[0102] Step S4000: Continuously acquire the health index of the charging module within a preset time period;

[0103] Step S5000: Based on the changes in the health index of the charging module within a preset time period, the operating status of the charging module within the preset time period is controlled in real time.

[0104] In this step, the health index of the charging module is continuously acquired within a preset time period to monitor its changes in real time. This preset time period can be, but is not limited to, a future set time period. Considering the changes in the charging module's health index within the preset time period, the real-time operating status of the charging module can be determined. Based on this, real-time control of the charging module's operating status within the preset time period can be implemented. For example, it can be, but is not limited to:

[0105] The preset time period is divided into multiple equally spaced time nodes. At each time node, the health index of the charging module is recorded. The difference between the health indices of adjacent time nodes is obtained. If the difference is positive, it indicates that the health of the charging module is continuously improving, meaning that the current operating state of the charging module meets the health requirements and can maintain its current working state. Conversely, if the difference is negative, the reason for the decline in health can be determined by combining the specific working state parameters of the charging module. That is, it is necessary to further determine which modules or units inside the charging module have experienced a performance decline that has led to the decline in health. In this way, once the corresponding modules or units that need to be adjusted are identified, they can be adjusted in real time to optimize the real-time health status of the charging module.

[0106] In addition, for cases involving adaptive PID temperature control, the initial temperature setpoint can first be determined based on the factory settings of the charging module. As input to the PID control unit, The settings can be adjusted in a timely manner according to changes in the health index. When the health index is high, a higher setting is allowed. This is because the equipment is in good condition at this time and can withstand higher operating temperatures; when the health level is low, the operating temperature should be reduced. This reduces stress on aging components and prevents them from being damaged by overheating.

[0107] ;

[0108] in, The following is a specific example of the adjustment amount as the health index changes:

[0109] .

[0110] It should be noted that when the PID control unit output is negative, it indicates that the current temperature is higher than the target temperature, and the fan speed needs to be increased to lower the temperature; when the PID control unit output is positive, it indicates that the current temperature is lower than the target temperature, and the system does not need to increase cooling capacity. In this case, the temperature error in the control signal can be mapped to the fan speed, and the current fan speed can be controlled using this speed value.

[0111] ;

[0112] in, and These are the minimum and maximum fan speeds, respectively. The current control signal output of the charging module, in addition to considering the device's health status, incorporates a health factor when calculating the maximum speed. ,Right now

[0113] ;

[0114] When the PID control unit requires the fan to run at full speed, the entire system will limit its maximum speed due to a lower system health status. ;

[0115] Similarly, the PID control unit can also use a dynamic current setpoint based on health awareness. It can be, but is not limited to, through the health decay coefficient. Adjustments can be made, for example, to ensure normal full load when the health index is greater than or equal to 0.8. The health index is 1; when the health index is between 0.6 and 0.8, Reduce to 0.95; when the health index is between 0.4 and 0.6, perform a moderate reduction. Reduced to 0.9; when the health index is between 0.2 and 0.4, Reduced to 0.75; when the health index is less than 0.2, it enters protection mode. It is 0.6. ;

[0116] At the same time, if the current output signal, that is If the value is greater than 0, the output signal can be converted into an actual output current, and the corresponding configured drive function can be called to increase the output current; if the current output signal is less than 0, the actual output current is reduced, but it is understandable that even if... However, the current should not be increased indefinitely. A protective limit should be added to prevent the PID control unit from outputting a current exceeding the aging module's current capacity. In this case, the current health index should be considered. Calculate the maximum allowable output current of the charging module. If the target current exceeds... If the maximum allowable value is specified, the output is limited to that maximum allowable value; otherwise, the target current is output as is. It can be seen that this key protection mechanism can achieve a high-performance operation mode for new equipment and a long lifespan for old equipment, ensuring that the charging module operates safely and stably in a healthy state, further reducing the loss of key components in the charging module, and extending the service life of the charging module.

[0117] Figure 6 This is a schematic diagram of the structure of an electronic device 1000 provided in an embodiment of the present invention. For example... Figure 6 As shown, the electronic device 1000 can be, but is not limited to, installed in a charging station, and includes a memory 1100 and a processor 1200. The number of memories 1100 and processors 1200 can be one or more. Figure 6 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 6 Taking the example of a connection between China and Israel via a bus.

[0118] 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 pile charging module operation state control method provided in any embodiment of the present invention. The processor 1200 implements the above-mentioned charging pile charging module operation state control method by running the software programs, instructions, and modules stored in the memory 1100.

[0119] 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.

[0120] An embodiment of the present invention also provides a computer-readable storage medium storing computer-executable instructions for executing the operation state control method of the charging module of the charging pile as provided in any embodiment of the present invention.

[0121] 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. The 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 the operation state control method of the charging pile charging module provided in any embodiment of the present invention.

[0122] 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.

[0123] 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 appropriate combinations thereof.

[0124] 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.

[0125] 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 controlling the operating status of a charging module in a charging pile, characterized in that, include: The current key operating parameters of the charging module are obtained, and the current health index of the charging module is determined based on the key operating parameters, wherein the key operating parameters include the real-time signal output. The current control signal output of the charging module is determined based on the PID control unit combined with the health index and the real-time signal output. The operating status of the charging module is adaptively controlled based on the control signal output, the real-time signal output, and the health index. Wherein, when there are multiple key operating parameters, determining the current health index of the charging module based on the key operating parameters includes: Calculate the health impact coefficient of each of the key operating parameters; For each of the key operating parameters, the product of the corresponding health impact coefficient and the preset health assessment weight is obtained to obtain the health contribution. The sum of all the health contributions is obtained to get the current health index of the charging module; The step of determining the current control signal output of the charging module based on the PID control unit in conjunction with the health index and the real-time signal output includes: The difference between the preset target signal output and the real-time signal output is obtained to obtain the deviation. Generate a weighting factor function associated with the health index based on the health index; The PID control coefficient of the PID control unit is determined based on the weighting factor function and the preset correction parameters. The current control signal output of the charging module is determined based on the PID control coefficient and the deviation. Wherein, when the real-time signal output is the real-time output current and the target signal output is the target output current, the preset correction parameters include deviation correction parameters, integral correction parameters, and derivative correction parameters. The current control signal output of the charging module is determined by combining the PID control coefficients and the deviation using the following formula: ； in, This refers to the current control output current of the charging module. , The deviation amount, The target output current, The real-time output current, The health index, The weighting factor function, The deviation correction parameter is... The integral correction parameter is... The differential correction parameter is denoted as .

2. The method for controlling the operating status of a charging module in a charging pile according to claim 1, characterized in that, The adaptive control of the charging module's operating state based on the control signal output, the real-time signal output, and the health index includes: The difference between the control signal output and the real-time signal output is obtained to obtain the control difference. The operating status of the charging module is adaptively controlled based on the control difference and the health index.

3. The method for controlling the operating status of a charging module in a charging pile according to claim 2, characterized in that, The adaptive control of the charging module's operating state based on the control difference and the health index includes: When the control difference is less than or equal to the minimum preset difference threshold, the current operating state of the charging module is maintained. or, When the control difference is greater than the minimum preset difference threshold and less than the maximum preset difference threshold, it is determined whether the health index is within the health balance threshold range. If so, the operating status of the charging module is subject to rapid response control; otherwise, the operating status of the charging module is subject to balanced response control. or, When the control difference is greater than or equal to the maximum preset difference threshold, it is determined whether the health index is less than the minimum health threshold. If so, the charging module is controlled to enter the protection mode; otherwise, the output intensity of the charging module is limited.

4. The method for controlling the operating status of a charging module in a charging pile according to claim 1, characterized in that, The method further includes: Continuously acquire the health index of the charging module within a preset time period; The operating status of the charging module is controlled in real time based on the changes in the health index of the charging module within the preset time period.

5. An electronic device, characterized in that, Installed in charging stations, including: 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 method for controlling the operating state of the charging module of the charging pile as described in any one of claims 1 to 4 is implemented.

6. 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 operation state control method of the charging pile charging module as described in any one of claims 1 to 4.

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