Charging pile output power control method and device, charging pile and system

Abstract

The invention provides a charging pile output power control method, a charging pile output power control device, a charging pile and a charging pile system. The charging pile output power control method comprises the steps of acquiring power grid real-time voltage acquired by a power grid monitoring device; determining a power grid voltage deviation degree according to a difference value between the power grid real-time voltage and the power grid rated voltage in response to the condition that the power grid real-time voltage is lower than a first voltage threshold value; obtaining a task priority parameter of a charging task corresponding to the target charging pile and a battery state parameter set of a target battery corresponding to the charging task; according to the power grid voltage deviation degree, the task priority parameters and a battery state parameter set, a charging power adjustment coefficient is calculated through a preset multi-parameter coupling algorithm, and the battery state parameter set comprises battery health state parameters and battery remaining capacity; determining an output power adjustment value of the target charging pile according to the difference value and the charging power adjustment coefficient; and adjusting the output power of the target charging pile according to the output power adjustment value. According to the invention, the flexibility and intelligence of charging pile output power control are improved.

Description

Technical Field

[0001] This application relates to the field of electronic power technology, specifically to a method, device, charging pile and system for controlling the output power of a charging pile. Background Technology

[0002] With the popularization of new energy vehicles and the growth of distributed electricity load, the problem of insufficient transformer capacity in the distribution network has become increasingly prominent. Charging stations, especially during peak hours, face the risk of transformer overload. Traditional charging piles adopt a fixed power allocation strategy, have poor adaptability to multiple scenarios, and cannot dynamically adjust according to the real-time status of the power grid. Transformers are prone to overload operation during peak hours, which can lead to safety issues, increase the failure rate of charging piles, and affect the reliability of user charging. Summary of the Invention

[0003] This application provides a charging pile output power control method, device, charging pile, and system to improve the flexibility and intelligence of charging pile output power control, thereby improving power grid stability and optimizing user experience.

[0004] In a first aspect, embodiments of this application provide a charging pile output power control method, applied to a management device in a power management system, the power management system comprising: a power grid monitoring device, the management device, and a target charging pile, the method comprising:

[0005] Obtain the real-time voltage of the power grid collected by the power grid monitoring device;

[0006] In response to the real-time voltage of the power grid being lower than a first voltage threshold, the power grid voltage deviation is determined based on the difference between the real-time voltage of the power grid and the rated voltage of the power grid.

[0007] Obtain the task priority parameters of the charging task corresponding to the target charging pile and the set of battery status parameters of the target battery corresponding to the charging task;

[0008] Based on the grid voltage deviation, the task priority parameter, and the battery status parameter set, a preset multi-parameter coupling algorithm is used to calculate the charging power adjustment coefficient. The battery status parameter set includes: battery health status parameters and battery remaining capacity.

[0009] The output power adjustment value of the target charging pile is determined based on the difference and the charging power adjustment coefficient.

[0010] The output power of the target charging pile is adjusted according to the output power adjustment value.

[0011] Secondly, embodiments of this application provide a charging pile output power control device, applied to a management device in a power management system. The power management system includes: a power grid monitoring device, the management device, and a target charging pile. The device includes:

[0012] The first acquisition unit is used to acquire the real-time voltage of the power grid collected by the power grid monitoring device;

[0013] The first determining unit is configured to, in response to the real-time voltage of the power grid being lower than a first voltage threshold, determine the degree of deviation of the power grid voltage based on the difference between the real-time voltage of the power grid and the rated voltage of the power grid.

[0014] The second acquisition unit is used to acquire the task priority parameter of the charging task corresponding to the target charging pile and the set of battery status parameters of the target battery corresponding to the charging task.

[0015] The calculation unit is used to calculate the charging power adjustment coefficient based on the grid voltage deviation, the task priority parameter, and the battery status parameter set using a preset multi-parameter coupling algorithm. The battery status parameter set includes: battery health status parameters and battery remaining capacity.

[0016] The second determining unit is used to determine the output power adjustment value of the target charging pile based on the difference and the charging power adjustment coefficient.

[0017] An adjustment unit is used to adjust the output power of the target charging pile according to the output power adjustment value.

[0018] Thirdly, embodiments of this application provide a charging pile, which includes the management device described in the first aspect above.

[0019] Fourthly, embodiments of this application provide a power management system, including the management device, power grid monitoring device, and target charging pile as described in the first aspect above.

[0020] Fifthly, embodiments of this application provide a management device, including a processor, a memory, and a communication interface, wherein the processor, memory, and communication interface are interconnected, wherein the communication interface is used to receive or send data, the memory is used to store application code for the management device to execute the method of the first aspect described above, and the processor is configured to execute the method of the first aspect described above.

[0021] In a sixth aspect, embodiments of this application provide a computer-readable storage medium storing a computer program for electronic data interchange, wherein the computer program causes a computer to perform some or all of the steps described in the method of the first aspect of embodiments of this application.

[0022] In a seventh aspect, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements some or all of the steps described in the method of the first aspect of embodiments of this application. This computer program product may be a software installation package.

[0023] As can be seen from the embodiments of this application, when the grid voltage fluctuates, the management device can promptly quantify and assess the grid voltage deviation, and dynamically determine the charging power adjustment coefficient by combining the priority of the charging task and the battery status parameters. Then, based on the grid voltage difference and the charging power adjustment coefficient, the output power adjustment value of the charging pile is determined, which helps to improve the flexibility and intelligence of the charging pile output power control, avoid the grid being overloaded for a long time due to the charging pile using a fixed output power, improve grid stability, and at the same time, the output power control is more in line with the user's actual charging needs, thus optimizing the user experience. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a schematic diagram illustrating an application scenario of a power management system provided in an embodiment of this application;

[0026] Figure 2 This is a schematic diagram of another application scenario of the power management system provided in the embodiments of this application;

[0027] Figure 3 This is a schematic diagram of the composition structure of a management device provided in an embodiment of this application;

[0028] Figure 4 This is a flowchart illustrating a charging pile output power control method provided in an embodiment of this application;

[0029] Figure 5 This is a schematic diagram of a voltage-power droop curve provided in an embodiment of this application;

[0030] Figure 6 This is a schematic diagram of the structure of the first type of charging pile output power control device provided in the embodiments of this application;

[0031] Figure 7 This is a schematic diagram of the structure of the second type of charging pile output power control device provided in the embodiments of this application. Detailed Implementation

[0032] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0033] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0034] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0035] The embodiments of this application will now be described with reference to the accompanying drawings.

[0036] See Figure 1 and Figure 2 This application provides a power management system, including a management device, a power grid monitoring device, and a charging pile. The solid black line represents the electrical connection between the power grid, the power grid monitoring device, and the charging pile, while the dashed black line represents the communication connection between the power grid monitoring device, the management device, and the charging pile.

[0037] Specifically, the charging pile can be an electric vehicle charging pile, used to obtain electrical energy from the power grid to charge electric vehicles; the power grid monitoring device can be a voltage sampling device such as a voltage transformer, used to collect the real-time voltage of the power grid; the management device is specifically used to obtain the real-time voltage of the power grid through the power grid monitoring device, and when the real-time voltage of the power grid is lower than the voltage threshold, determine the power grid voltage deviation based on the difference between the real-time voltage of the power grid and the rated voltage of the power grid, and at the same time obtain the charging priority and battery status parameter set of the charging task corresponding to the target charging pile. Then, based on the obtained power grid voltage deviation, task priority parameters and battery status parameter set, a multi-parameter coupling algorithm is used to jointly calculate the charging power adjustment coefficient, and the output power adjustment value of the target charging pile is determined based on the charging power adjustment coefficient and the aforementioned difference, and the output power of the target charging pile is adjusted according to the output power.

[0038] In specific implementation, such as Figure 1 As shown, each management device corresponds to one charging pile, and can be directly installed on the corresponding charging pile. Each management device uses its own charging pile as the target charging pile, adjusting the output power of the target charging pile based on grid voltage, charging priority, and battery status parameters. Specifically, the management device can be the existing processing chip within the charging pile, directly optimizing the output power control algorithm of the built-in chip without modifying the charging pile hardware or adding energy storage equipment, which helps to further save equipment costs.

[0039] Or, such as Figure 2 As shown, a management device can also correspond to multiple charging piles, and each of the multiple charging piles corresponding to the management device can be used as a target charging pile for that management device. Specifically, multiple charging piles can be multiple charging piles belonging to the same location area, such as charging piles at the same charging station. Furthermore, in addition to adjusting the output power of a single charging pile based on its charging task priority and battery status parameter set, a management device can also perform coordinated output power control on multiple charging piles.

[0040] It should be noted that, Figure 1 and Figure 2 The number and arrangement of the devices and equipment shown are for illustrative purposes only. In actual applications, the number and arrangement of devices and equipment in the power management system can be different from those shown in the diagram. Figure 1 and Figure 2 There are differences, for example, the number of power grid monitoring devices can also be multiple, or the power grid monitoring devices can also be installed on the charging piles, or, in the case where one management device corresponds to multiple charging piles, the management device can also be installed on one of the charging piles, or, in the case where the power management system includes multiple management devices, the multiple management devices can also communicate and connect with each other, without specific restrictions here.

[0041] Figure 3 This is a schematic diagram of the composition structure of a management device provided in an embodiment of this application, as shown below. Figure 3 As shown, the management device may include a processor 110, a memory 120, a communication interface 130, and one or more programs 121. The one or more programs 121 are stored in the memory 120 and configured to be executed by the processor 110. The one or more programs 121 include instructions for performing any step in the method embodiments described below. The communication interface 130 is used to support communication between the management device and other devices. In specific implementations, the processor 110 is used to perform any step executed by the management device in the method embodiments described below, and when performing data transmission such as sending, the communication interface 130 can be selectively invoked to complete the corresponding operation. It should be noted that the above schematic diagram of the management device is only an example; the actual components included may be more or fewer, and this is not a unique limitation.

[0042] In a specific implementation, the management device may receive real-time grid voltage data collected by the grid monitoring device via the communication interface 130, or send fault alert information to the user's electronic equipment via the communication interface 130.

[0043] See also Figure 4 , Figure 4 This is a flowchart illustrating a charging pile output power control method provided in an embodiment of this application. This charging pile output power control method can be specifically applied to, for example... Figure 1 or Figure 2 The power management system shown includes a management device, a power grid monitoring device, and a target charging pile. Figure 4 As shown, the output power control method of this charging pile includes the following steps:

[0044] Step S201: The management device acquires the real-time voltage of the power grid collected by the power grid monitoring device.

[0045] In step S202, the management device responds to the real-time voltage of the power grid being lower than the first voltage threshold by determining the voltage deviation of the power grid based on the difference between the real-time voltage of the power grid and the rated voltage of the power grid.

[0046] In practice, the power grid monitoring device can acquire the real-time voltage of the power grid at preset intervals and report it to the management device once, or the power grid monitoring device can report a prompt message to the management device only when it detects that the real-time voltage of the power grid is lower than the first voltage threshold, thus triggering the management device to execute step S202.

[0047] Specifically, the management device can execute step S202 only when the real-time voltage of the power grid is continuously lower than the first voltage threshold for a set duration, so as to avoid wasting equipment resources due to short-term voltage fluctuations.

[0048] The first voltage threshold can be set as needed. For example, the first voltage threshold can be set to the grid rated voltage Un. Of course, in other embodiments, the first voltage threshold can also be set to other values, and no specific restrictions are made here.

[0049] The grid voltage deviation δU can be calculated, for example, by the following formula:

[0050] δU=(Un-Uin) / Un;

[0051] Wherein, Un represents the rated voltage of the power grid, and Uin represents the real-time voltage of the power grid.

[0052] In step S203, the management device obtains the task priority parameter of the charging task corresponding to the target charging pile and the set of battery status parameters of the target battery corresponding to the charging task.

[0053] Specifically, the charging task corresponding to the charging pile is the charging task that the target charging pile is currently performing. If the target charging pile is currently idle, for example, if the charging task of the target charging pile is a scheduled charging task that needs to be performed at a later time, since the grid voltage may have changed after a period of time, it is not necessary to determine the future output power of the idle charging pile in advance based on the unexecuted charging task, so as to reduce unnecessary consumption of equipment resources.

[0054] The task priority parameter for charging tasks can be determined based on the task type. For example, task types can include: normal charging, emergency charging, supercharging (fast charging), and scheduled charging. The priority of each task type can be set from highest to lowest as: emergency charging, supercharging, scheduled charging, and normal charging. Prioritizing users' emergency charging and fast charging needs can improve the overall utilization rate of charging stations.

[0055] In step S204, the management device calculates the charging power adjustment coefficient based on the grid voltage deviation, the task priority parameter, and the battery status parameter set using a preset multi-parameter coupling algorithm.

[0056] The set of battery status parameters includes: battery health status parameters and remaining battery capacity.

[0057] Specifically, the battery health status parameter can be the battery's State of Health (SOH) parameter, and the battery's remaining charge can be the battery's State of Charge (SOC) parameter.

[0058] In practice, the management device can obtain the battery status parameter set by communicating with the vehicle connected to the target charging pile, or it can obtain the task priority parameter and the battery status parameter set corresponding to the target charging task by communicating with the user's electronic device or server.

[0059] In step S205, the management device determines the output power adjustment value of the target charging pile based on the difference and the charging power adjustment coefficient.

[0060] Step S206: The management device adjusts the output power of the target charging pile according to the output power adjustment value.

[0061] In practice, the output power adjustment value can be the product of the difference and the charging power adjustment coefficient. The output power of the target charging pile is adjusted according to the output power adjustment value. Specifically, it can be: based on the rated charging power of the target charging pile, the output power of the target charging pile is reduced according to the output power adjustment value.

[0062] Specifically, the output power P of the adjusted target charging station can be determined using the following formula:

[0063] P = Pn - K down *(Un-Uin);

[0064] Where Pn is the rated output power of the target charging station, and K down That is, the charging power adjustment coefficient, (Un-Uin) is the aforementioned difference, K down *(Un-Uin) refers to the aforementioned output power adjustment value.

[0065] In other words, when the grid voltage is overloaded, the management device can linearly and smoothly adjust the output power of the target charging pile based on the charging power adjustment coefficient and the difference between the real-time grid voltage and the grid rated voltage. This achieves adaptive dynamic adjustment of the charging pile output power, which helps to alleviate transformer overload and realize grid load peak shaving. Compared with the simple tiered power rationing method, the smooth adjustment based on the charging power adjustment coefficient is conducive to further improving the peak shaving progress and reducing the impact on the grid.

[0066] In addition to adjusting the output power of the charging pile according to the first preset voltage threshold and reducing the output power of the charging pile, the management device can also control the target charging pile to stop supplying power when the real-time voltage of the power grid is lower than the second voltage threshold or higher than the third voltage threshold.

[0067] Among them, the first voltage threshold is greater than the second voltage threshold and less than the third voltage threshold.

[0068] In specific implementation, the specific values of the second voltage threshold and the third voltage threshold can be set according to actual needs. For example, the second voltage threshold can be specifically set to 0.85Un, and the third voltage threshold can be set to 1.15Un.

[0069] Furthermore, the management device can perform segmented control on the output power of the target charging pile according to the real-time grid voltage. For example, taking the values of the above-mentioned voltage thresholds as an example, when the real-time grid voltage Uin satisfies Un≤Uin≤1.15Un, the target charging pile charges with its rated charging power as the output power; when the real-time grid voltage Uin satisfies 0.85Un≤Uin<Un, the management device controls the charging pile to reduce the power for charging according to the output power adjustment value determined in steps S201 - S206; when the real-time grid voltage Uin satisfies Uin<0.85Un or Uin>1.15Un, the management device can directly control the target charging pile to stop power output, that is, stop power supply.

[0070] Particularly, for the situation where the target charging pile stops power supply, the management device can also send a fault prompt message to the user electronic device corresponding to the charging task or the management electronic device of the target charging pile. For the fault prompt message sent to the user electronic device, it can specifically include the fault reason (such as under-voltage or over-voltage of the charging pile) and the location of the backup charging pile. The backup charging pile can be specifically determined according to the charging type of the charging task, and the backup charging pile supports the charging type of the charging task. For the fault prompt message sent to the management electronic device, it can specifically include the fault reason and information such as the location or number of the target charging pile.

[0071] It can be seen that in the embodiment of the present application, when the grid voltage fluctuates, the management device can timely quantitatively evaluate the deviation degree of the grid voltage, and combine the priority of the charging task and the battery state parameters to dynamically determine the charging power adjustment coefficient, and then determine the output power adjustment value of the charging pile according to the grid voltage difference and the charging power adjustment coefficient, which is beneficial to improving the flexibility and intelligence of the output power control of the charging pile, avoiding long-term overloading of the grid due to the charging pile adopting a fixed output power, improving the grid stability, and at the same time, the output power control better matches the actual charging needs of users, optimizing the user experience.

[0072] In one possible example, the step of calculating the charging power adjustment coefficient using a preset multi-parameter coupling algorithm based on the grid voltage deviation, the task priority parameter, and the battery state parameter set includes: determining a first sub-coefficient based on the grid voltage deviation, where the larger the grid voltage deviation, the larger the first sub-coefficient; determining a second sub-coefficient based on the task priority parameter, where the lower the task priority, the larger the second sub-coefficient; determining a third sub-coefficient based on the remaining battery capacity, where the higher the remaining battery capacity, the larger the third sub-coefficient; determining a fourth sub-coefficient based on the battery health state parameter, where the worse the battery health state, the larger the fourth sub-coefficient; and determining the charging power adjustment coefficient based on the first sub-coefficient, the second sub-coefficient, the third sub-coefficient, the fourth sub-coefficient, and a target weight value.

[0073] Among them, the charging power adjustment coefficient K down Specifically, it can be calculated using the following formula:

[0074] K down =w_ΔU*f △U +w_Prio*f Prio +w_SOC*f SOC +w_SOH*f SOH ;

[0075] Among them, f △U That is, the first sub-coefficient, f Prio That is, the second sub-coefficient, f SOC That is, the third sub-coefficient, f SOH That is, the fourth sub-coefficient. The target weight values ​​include: the weight w_ΔU corresponding to the first sub-coefficient, the weight w_Prio corresponding to the second sub-coefficient, the weight w_SOC corresponding to the third sub-coefficient, and the weight w_SOH corresponding to the fourth sub-coefficient.

[0076] The specific values ​​of the weights corresponding to each sub-coefficient can be preset to a sum equal to 1 (i.e., w_ΔU+w_Prio+w_SOC+w_SOH=1) as needed, without specific restrictions. For example, the weight corresponding to the first sub-coefficient can be set to a maximum of 0.4, and the weights corresponding to other sub-coefficients can be 0.2. This ensures the safety and reliability of charging while considering the actual electricity needs of users and the stability of the power grid.

[0077] Furthermore, in this possible example, the first sub-coefficient f △U Specifically, it can be calculated using the following formula:

[0078] f △U =β*δU;

[0079] Wherein, β is a preset deviation gain parameter, and δU represents the grid voltage deviation. As mentioned above, δU can be specifically calculated by the following formula: δU=(Un-Uin) / Un, where Un represents the grid rated voltage and Uin represents the grid real-time voltage.

[0080] In practice, the value of β can be set as needed; no specific restrictions are imposed here. For example, in this example, the value of β can be set to 26. With other conditions remaining constant, the greater the deviation of the grid voltage, the greater the power adjustment coefficient and the charging power adjustment coefficient K. down The larger the voltage, the greater the reduction in the output power of the charging pile, which helps to suppress further drops in grid voltage.

[0081] In this example, taking the priority parameters Prio of emergency charging, supercharging, scheduled charging, and normal charging as 4, 3, 2, and 1 respectively, the second sub-coefficient fPrio can be calculated using the following formula:

[0082] fPrio = (1 - (Prio - 1) / 3);

[0083] In practice, the higher the task priority of the charging task corresponding to the target charging pile, the larger the priority parameter. Under the condition that other factors remain unchanged, the higher the task priority, the larger the charging power adjustment coefficient K. down The smaller the value, the greater the output power of the charging pile, which prioritizes the charging needs of high-priority tasks and helps improve the overall utilization rate of the charging pile.

[0084] In this example, the third sub-coefficient f SOC Specifically, it can be calculated using the following formula:

[0085] f SOC =SOC;

[0086] SOC refers to the remaining battery capacity, with a value between 0 and 1.

[0087] In this example, assuming other conditions remain constant, the lower the remaining battery charge, the higher the charging power adjustment coefficient K. down The smaller the output power of the charging pile, the greater its output power. When the grid capacity is insufficient, it can prioritize meeting the charging needs of users with low battery levels, which is conducive to improving the overall utilization rate of the charging pile.

[0088] In this example, the fourth sub-coefficient f SOH Specifically, it can be calculated using the following formula:

[0089] f SOH =(1-SOH);

[0090] Here, SOH refers to the battery's SOH value. In specific implementations, the SOH value can be set between 0.7 and 1. For batteries with an SOH value below 0.7, the management device can directly control the target charging pile to stop supplying power and send a prompt message to the user's electronic device and the management personnel's electronic device to further ensure charging safety and improve the intelligence of the charging pile's output power control. Of course, in other embodiments, the SOH value range can also be set to other values ​​as needed, such as 0.75-1; no specific limitation is made here.

[0091] In this example, assuming other conditions remain constant, the worse the battery health (i.e., the lower the SOH value), the higher the charging power adjustment coefficient K. down The larger the battery capacity, the lower the output power of the charging pile. By reducing the charging power of aging batteries, the battery life can be improved, and the intelligence of the charging pile's output power control can be further enhanced.

[0092] As can be seen, in this example, multi-parameter weighted coupling is performed based on the set of grid voltage deviation, task priority parameters, and battery status parameters. In the multi-parameter weighted coupling, the grid voltage deviation is quantified based on the difference between the real-time grid voltage and the grid rated voltage. This helps to improve the accuracy of the charging power adjustment coefficient determination. While ensuring grid stability and improving user experience, it also improves the precision and smoothness of the output power adjustment of the target charging pile.

[0093] In one possible example, the method further includes: determining a first initial weight corresponding to the first sub-coefficient based on the grid voltage deviation, wherein the larger the voltage deviation, the larger the first initial weight; determining a second initial weight corresponding to the second sub-coefficient based on the task priority parameter, wherein the higher the task priority, the larger the second initial weight; determining a third initial weight corresponding to the third sub-coefficient based on the battery health status parameter, wherein the worse the battery health status, the larger the third initial weight; determining a fourth initial weight corresponding to the fourth sub-coefficient based on the remaining battery power, wherein the lower the remaining battery power, the larger the initial value of the fourth weight; determining a weight benchmark value based on the first initial weight, the second initial weight, the third initial weight, and the fourth initial weight; and adjusting the weight values ​​of the first initial weight, the second initial weight, the third initial weight, and the fourth initial weight based on the weight benchmark value to obtain the target weight value.

[0094] Taking the first initial weight as g(δU), the second initial weight as Prio / 4, the third initial weight as 1-SOC, and the fourth initial weight as 1-SOH as an example, the target weight value corresponding to each sub-coefficient can be determined by the following formula:

[0095] The weight corresponding to the first sub-coefficient is w_ΔU=g(δU) / h_i;

[0096] The weight corresponding to the second sub-coefficient is w_Prio = (Prio / 4) / h_i;

[0097] The weight corresponding to the third sub-coefficient is w_SOC = (1-SOC) / h_i;

[0098] The weight corresponding to the fourth sub-coefficient is w_SOH=(1-SOH) / h_i;

[0099] Where h_i is the weight benchmark value, specifically h_i = (g(δU) + (1-SOC) + Prio / 4 + (1-SOH)).

[0100] In practical implementation, the target weight is determined based on the aforementioned formula. The greater the deviation of the real-time grid voltage from the rated grid voltage (i.e., the greater the grid voltage deviation), the greater the weight corresponding to the first sub-coefficient, and w_ΔU approaches 1. This prioritizes responding to grid fluctuations, which helps ensure charging safety. Furthermore, when the grid voltage is stable (i.e., w_ΔU is small), the lower the remaining battery charge, the greater the weight corresponding to the third sub-coefficient. This prioritizes large-capacity charging needs, and high-priority charging tasks receive higher weights when the grid voltage is stable. This helps prevent charging piles from being occupied for extended periods or vehicles using those piles from being unable to meet temporary usage needs, thus improving the utilization rate of charging piles. Additionally, when the battery health is poor, the weight corresponding to the fourth sub-coefficient can be increased to forcibly reduce output power to protect the battery, improving the intelligence of charging pile output power adjustment.

[0101] Specifically, the first initial weight of g(δU) can be calculated using the following formula: g(δU)=1 / (1+e^(-k*δU)); where k is a preset voltage sensitivity parameter.

[0102] The specific value of k can be set as needed, for example, k=10. In practical applications, the value of k can also be dynamically configured by the server or management personnel's equipment. That is, the management personnel can input the value of k through electronic devices and communicate with the management device through the server or management personnel's electronic devices to realize the real-time dynamic configuration of the value of k, further improving the flexibility of output power adjustment.

[0103] As can be seen, in this example, the dynamic adaptive adjustment of the weights of each sub-coefficient is achieved based on the set of grid voltage deviation, task priority parameters, and battery state parameters. This is beneficial to further improve the flexibility and precision of determining the charging power adjustment coefficient, and improve the matching degree between the output power and the user's actual charging needs while ensuring grid stability.

[0104] The following describes the process of adjusting the output power of the target charging pile in the embodiments of this application, using specific simulation data.

[0105] Taking a DC charging pile with a rated input voltage of 380V, a first voltage threshold of 380V, a second voltage threshold of 323V, and a third voltage threshold of 437V as an example, and a target charging pile with a rated input voltage of 380V and a rated output power of Pn = 160kW, the charging pile is connected to the power grid simulation equipment, the charging gun is connected to the vehicle simulator, and charging begins, putting the charging pile into the rated power Pn operating state. Then, the power grid voltage Uin is adjusted. When the power grid voltage is between 380V and 437V, the charging pile operates at the rated charging power Pn. When the power grid voltage drops to between 323V and the rated voltage of 380V, the output power of the target charging pile will gradually decrease according to the charging power adjustment coefficient. When the power grid voltage drops below 323V or exceeds 437V, the target charging pile can issue an undervoltage fault warning or an overvoltage fault warning and stop charging to protect the power grid.

[0106] Specifically, after adjusting the output power of the target charging pile according to the charging power adjustment coefficient, if the real-time grid voltage gradually rises back to between 380V and 437V, the target charging pile will resume its rated power Pn = 160kW for output, achieving dynamic adjustment of the output power. Specifically, during the aforementioned dynamic adjustment process, the changes in the real-time grid voltage, task priority parameters, battery status parameters, charging power adjustment coefficient, and the adjusted output power of the target charging pile can be found in Table 1 below. Figure 5 The voltage-power droop curve shown.

[0107] Uin(V) SOC (%) Prio SOH (%) <![CDATA[K down ]]> P(kW) 380 0 4 100 0.000 160.000 375 40 4 100 0.198 159.010 370 40 3 90 0.445 155.550 360 50 3 90 0.698 146.049 350 60 2 80 1.155 125.347 340 80 2 80 1.585 96.584 335 90 1 70 2.033 68.533 323 100 1 70 2.646 9.181

[0108] Table 1 Parameter Table

[0109] Furthermore, the aforementioned description of the method for adjusting the output power of charging piles mainly focuses on the process of adjusting the output power of a target charging pile. In practical applications, the management device can also coordinate the control of multiple charging piles based on the output power adjustment values ​​of multiple non-idle charging piles in the same location area.

[0110] For example, after determining the output power adjustment value of the target charging pile in step S205, the output power of the target charging pile is not directly adjusted based on the output power adjustment value. Instead, the reference output power of the target charging pile is determined based on the output power adjustment value (e.g., reference output power = rated output power - output power adjustment value). For each charging pile among the multiple charging piles, its corresponding reference output power is determined. Then, the average value of the reference output power of each of the multiple charging piles is calculated. If the average value is not less than the preset power threshold, the output power of each charging pile is directly adjusted based on the reference output power of each charging pile. If the average value is less than the preset power threshold, the multiple charging piles are sorted in ascending order of charging power adjustment coefficient, and the output power of each charging pile is increased sequentially according to the sorting order (the output power of each charging pile after adjustment does not exceed its rated output power) until the average power of the multiple charging piles is not less than the preset power threshold. Subsequent charging piles directly use their own reference output power as their output power.

[0111] For example, suppose there are three charging piles, each with a rated output power of 160kW, arranged in ascending order of charging power adjustment coefficient: Charging Pile 1, Charging Pile 2, and Charging Pile 3. The reference output powers of Charging Pile 1, Charging Pile 2, and Charging Pile 3 are 150kW, 140kW, and 130kW, respectively. If the preset power threshold is 150kW, and the average output power of Charging Pile 1-3 is 140kW, which is less than the preset power threshold of 150kW, then the output power of Charging Pile 1 can be adjusted to 160kW first. At this point, the average output power of Charging Pile 1-3 becomes 143.3kW, still less than the preset power of 150kW. Therefore, the output power of Charging Pile 2 can be adjusted to 160kW, and the average output power of Charging Pile 1-3 becomes 150kW. Therefore, there is no need to further adjust the output power of Charging Pile 3. Finally, Charging Pile 1 and Charging Pile 2 both output at 160kW, while Charging Pile 3 directly outputs at the reference output power of 130kW.

[0112] In particular, when the average value in a region is less than the preset power threshold and the output power is increased, the output power can be set to not be recalculated based on the detected grid voltage, task priority parameters and battery status parameters for a period of time after the output power is adjusted. This is to avoid repeatedly increasing the output power based on the average value after determining the output power adjustment value, which would otherwise waste resources.

[0113] By coordinating the output power of multiple charging piles in the same area, it helps avoid situations where multiple charging piles in the same area all operate at low output power, resulting in slow overall charging efficiency and affecting subsequent vehicles entering the area to charge. After increasing the overall output power of charging piles in the area according to a preset power, a few charging piles in other areas with excessively high output power can detect changes in the grid voltage and gradually reduce their output power, ultimately achieving a relatively balanced output power across all areas. This further improves the intelligence of charging pile output power adjustment and optimizes the user experience.

[0114] See also Figure 6 , Figure 6 This is a schematic diagram of the structure of the first type of charging pile output power control device provided in the embodiments of this application. This charging pile output power control device can be specifically applied to, for example... Figure 1 or Figure 2 The power management system shown includes a management device, a power grid monitoring device, and a target charging pile. The charging pile output power control device 30 includes:

[0115] The first acquisition unit 301 is used to acquire the real-time voltage of the power grid collected by the power grid monitoring device;

[0116] The first determining unit 302 is used to determine the grid voltage deviation degree based on the difference between the grid real-time voltage and the grid rated voltage in response to the grid real-time voltage being lower than a first voltage threshold.

[0117] The second acquisition unit 303 is used to acquire the task priority parameter of the charging task corresponding to the target charging pile and the set of battery status parameters of the target battery corresponding to the charging task.

[0118] The calculation unit 304 is used to calculate the charging power adjustment coefficient based on the grid voltage deviation, the task priority parameter, and the battery status parameter set using a preset multi-parameter coupling algorithm. The battery status parameter set includes: battery health status parameters and battery remaining capacity.

[0119] The second determining unit 305 is used to determine the output power adjustment value of the target charging pile based on the difference and the charging power adjustment coefficient.

[0120] The adjustment unit 306 is used to adjust the output power of the target charging pile according to the output power adjustment value.

[0121] In one possible example, the adjustment unit 306 is specifically configured to: determine a first sub-coefficient based on the grid voltage deviation, wherein the larger the grid voltage deviation, the larger the first sub-coefficient; determine a second sub-coefficient based on the task priority parameter, wherein the lower the task priority, the larger the second sub-coefficient; determine a third sub-coefficient based on the remaining battery power, wherein the higher the remaining battery power, the larger the third sub-coefficient; determine a fourth sub-coefficient based on the battery health status parameter, wherein the worse the battery health status, the larger the fourth sub-coefficient; and determine the charging power adjustment coefficient based on the first sub-coefficient, the second sub-coefficient, the third sub-coefficient, the fourth sub-coefficient, and a target weight value.

[0122] In one possible example, the first sub-coefficient is calculated using the following formula: f △U =β*δU; where, f △U The first sub-coefficient is represented by β, which is a preset deviation gain parameter, and δU represents the deviation of the grid voltage. δU is calculated by the following formula: δU=(Un-Uin) / Un; where Un represents the rated voltage of the grid and Uin represents the real-time voltage of the grid.

[0123] In one possible example, the charging pile output power control device 30 is further configured to: determine a first initial weight corresponding to the first sub-coefficient based on the grid voltage deviation, wherein the larger the voltage deviation, the larger the first initial weight; determine a second initial weight corresponding to the second sub-coefficient based on the task priority parameter, wherein the higher the task priority, the larger the second initial weight; determine a third initial weight corresponding to the third sub-coefficient based on the battery health status parameter, wherein the worse the battery health status, the larger the third initial weight; determine a fourth initial weight corresponding to the fourth sub-coefficient based on the remaining battery power, wherein the lower the remaining battery power, the larger the initial value of the fourth weight; determine a weight benchmark value based on the first initial weight, the second initial weight, the third initial weight, and the fourth initial weight; and adjust the weight values ​​of the first initial weight, the second initial weight, the third initial weight, and the fourth initial weight based on the weight benchmark value respectively to obtain the target weight value.

[0124] In one possible example, the first initial weight is calculated by the following formula: g(δU)=1 / (1+e^(-k*δU)); where k is a preset voltage sensitivity parameter.

[0125] In one possible example, the output power adjustment value is the product of the difference and the charging power adjustment coefficient. In terms of adjusting the output power of the target charging pile according to the output power adjustment value, the adjustment unit 306 is specifically used to: reduce the output power of the target charging pile based on the rated charging power of the target charging pile and according to the output power adjustment value.

[0126] In one possible example, the charging pile output power control device 30 is further configured to: control the target charging pile to stop supplying power in response to the real-time voltage of the power grid being lower than a second voltage threshold or higher than a third voltage threshold, wherein the first voltage threshold is greater than the second voltage threshold and less than the third voltage threshold.

[0127] In the case of using an integrated unit, the structural schematic diagram of the second type of charging pile output power control device provided in the embodiments of this application is as follows: Figure 7 As shown. In Figure 7 The charging pile output power control device includes a processing module 310 and a communication module 311. The processing module 310 controls and manages the operation of the charging pile output power control device, for example, the steps executed by the first acquisition unit 301, the first determination unit 302, the second acquisition unit 303, the calculation unit 304, the second determination unit 305, and the adjustment unit 306, and / or other processes described in this application. The communication module 311 supports interaction between the charging pile output power control device 30 and other devices. Figure 7 As shown, the charging pile output power control device may also include a storage module 312, which is used to store the program code and data of the charging pile output power control device.

[0128] The processing module 310 can be a processor or controller, such as a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an ASIC, an FPGA, or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. The processor can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc. The communication module 311 can be a transceiver, RF circuitry, or a communication interface, etc. The storage module 312 can be a memory.

[0129] All relevant content in each scenario involved in the above method embodiments can be referenced from the functional descriptions of the corresponding functional modules, and will not be repeated here. The above-mentioned charging pile output power control devices can all perform the above-mentioned... Figure 4 The steps performed by the management device in the charging pile output power control method shown.

[0130] This application also provides a computer storage medium storing a computer program for electronic data interchange, which causes a computer to perform some or all of the steps of any of the methods described in the above method embodiments.

[0131] This application also provides a computer program product, including a computer program that, when executed by a processor, implements some or all of the steps of any of the methods described in the above method embodiments. This computer program product can be a software installation package.

[0132] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and units involved are not necessarily essential to this application.

[0133] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0134] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the above-mentioned units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0135] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0136] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0137] If the aforementioned integrated units are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0138] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage device, which may include a flash drive, ROM, RAM, disk, or optical disk, etc.

[0139] The embodiments of this application have been described in detail above. Specific examples have been used in this application to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for controlling the output power of a charging pile, characterized in that, A management device applied in a power management system, the power management system comprising: a power grid monitoring device, the management device, and a target charging pile, the method comprising: Obtain the real-time voltage of the power grid collected by the power grid monitoring device; In response to the real-time voltage of the power grid being lower than a first voltage threshold, the power grid voltage deviation is determined based on the difference between the real-time voltage of the power grid and the rated voltage of the power grid. Obtain the task priority parameters of the charging task corresponding to the target charging pile and the set of battery status parameters of the target battery corresponding to the charging task; Based on the grid voltage deviation, the task priority parameter, and the battery status parameter set, a preset multi-parameter coupling algorithm is used to calculate the charging power adjustment coefficient. The battery status parameter set includes: battery health status parameters and battery remaining capacity. The output power adjustment value of the target charging pile is determined based on the difference and the charging power adjustment coefficient. The output power of the target charging pile is adjusted according to the output power adjustment value.

2. The method according to claim 1, characterized in that, The step of calculating the charging power adjustment coefficient based on the grid voltage deviation, the task priority parameter, and the battery state parameter set using a preset multi-parameter coupling algorithm includes: A first sub-coefficient is determined based on the grid voltage deviation; the greater the grid voltage deviation, the larger the first sub-coefficient. The second sub-coefficient is determined based on the task priority parameter, and the lower the task priority, the larger the second sub-coefficient. A third sub-coefficient is determined based on the remaining battery power; the higher the remaining battery power, the larger the third sub-coefficient. A fourth sub-coefficient is determined based on the battery health status parameters; the worse the battery health status, the larger the fourth sub-coefficient. The charging power adjustment coefficient is determined based on the first sub-coefficient, the second sub-coefficient, the third sub-coefficient, the fourth sub-coefficient, and the target weight value.

3. The method according to claim 2, characterized in that, The first sub-coefficient is calculated using the following formula: f △U =β*δU; Among them, f △U The first sub-coefficient is represented by β, which is a preset deviation gain parameter, and δU represents the deviation of the grid voltage. δU is calculated using the following formula: δU=(Un-Uin) / Un; Wherein, Un represents the rated voltage of the power grid, and Uin represents the real-time voltage of the power grid.

4. The method according to claim 2, characterized in that, The method further includes: Based on the grid voltage deviation, a first initial weight corresponding to the first sub-coefficient is determined; the greater the voltage deviation, the greater the first initial weight. Based on the task priority parameter, the second initial weight corresponding to the second sub-coefficient is determined. The higher the task priority, the greater the second initial weight. Based on the battery health status parameters, the third initial weight corresponding to the third sub-coefficient is determined. The worse the battery health status, the larger the third initial weight. Based on the remaining battery power, the fourth initial weight corresponding to the fourth sub-coefficient is determined. The lower the remaining battery power, the larger the initial value of the fourth weight. Based on the first initial weight, the second initial weight, the third initial weight, and the fourth initial weight, determine the weight benchmark value; The weight values ​​of the first initial weight, the second initial weight, the third initial weight, and the fourth initial weight are adjusted according to the weight benchmark value to obtain the target weight value.

5. The method according to claim 4, characterized in that, The first initial weight is calculated using the following formula: g(δU) = 1 / (1 + e^(-k*δU)); Where k is a preset voltage sensitivity parameter.

6. The method according to any one of claims 1-5, characterized in that, The output power adjustment value is the product of the difference and the charging power adjustment coefficient. Adjusting the output power of the target charging pile according to the output power adjustment value includes: Based on the rated charging power of the target charging pile, the output power of the target charging pile is reduced according to the output power adjustment value.

7. The method according to any one of claims 1-5, characterized in that, The method further includes: In response to the real-time voltage of the power grid being lower than a second voltage threshold or higher than a third voltage threshold, the target charging pile is controlled to stop supplying power, wherein the first voltage threshold is greater than the second voltage threshold and less than the third voltage threshold; Fault alert information is generated based on the real-time voltage of the power grid; Send the fault message to the target electronic device.

8. A charging pile output power control device, characterized in that, A management device used in a power management system, the power management system comprising: a power grid monitoring device, the management device, and a target charging pile, the device comprising: The first acquisition unit is used to acquire the real-time voltage of the power grid collected by the power grid monitoring device; The first determining unit is configured to, in response to the real-time voltage of the power grid being lower than a first voltage threshold, determine the degree of deviation of the power grid voltage based on the difference between the real-time voltage of the power grid and the rated voltage of the power grid. The second acquisition unit is used to acquire the task priority parameter of the charging task corresponding to the target charging pile and the set of battery status parameters of the target battery corresponding to the charging task. The calculation unit is used to calculate the charging power adjustment coefficient based on the grid voltage deviation, the task priority parameter, and the battery status parameter set using a preset multi-parameter coupling algorithm. The battery status parameter set includes: battery health status parameters and battery remaining capacity. The second determining unit is used to determine the output power adjustment value of the target charging pile based on the difference and the charging power adjustment coefficient. An adjustment unit is used to adjust the output power of the target charging pile according to the output power adjustment value.

9. A charging pile, characterized in that, The charging pile includes the management device as described in any one of claims 1-7.

10. A power management system, characterized in that, This includes the management device, power grid monitoring device, and target charging pile as described in any of claims 1-7.

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