Power exchange cabinet power control method, system and power exchange cabinet

Abstract

The present application provides a power control method, system and power exchange cabinet for a battery swap cabinet. The present application selects a full-power charging compartment as the selected charging compartment according to the charging status parameters of each rechargeable battery, and adjusts the power frequency of the selected charging compartment according to the calibrated frequency linear range; determines the charging efficiency interference degree corresponding to each adjacent charging compartment based on the frequency linear range and the charging power corresponding to each adjacent charging compartment; determines the position weight corresponding to each adjacent charging compartment according to the label number corresponding to each adjacent charging compartment, and performs a credible analysis on the charging efficiency interference degree corresponding to each adjacent charging compartment based on the position weight to determine the electromagnetic interference safety factor; uses the electromagnetic interference safety factor as a control parameter to adjust the maximum charging power of the battery swap cabinet when charging the battery, which can reduce the electromagnetic interference between the charging compartments when the adjacent charging compartments of the battery swap cabinet are close, thereby improving the charging efficiency of the battery swap cabinet.

Description

Technical Field

[0001] The present application relates to the technical field of power exchange cabinets, and more specifically, to a power exchange cabinet power control method, system and power exchange cabinet. Background Art

[0002] A battery swap cabinet is a device used for electric vehicles, battery replacement and charging. It provides a fast and convenient way to replenish energy by replacing fully charged batteries instead of traditional battery charging methods, thereby reducing waiting time. Battery swap cabinets are usually deployed in convenient locations in cities, such as communities, office areas, gas stations or shopping malls.

[0003] In the prior art, there are different charging compartments in the battery swap cabinet. The switching power supply of the charging module in the charging compartment controls the transmission of electric energy through high-frequency pulse width modulation. The frequency is usually 10kHz~100kHz or higher. The high-frequency switching will generate electromagnetic radiation, especially when entering the constant voltage charging state. At this time, the charging current is large, and the switching power supply will have a rapid change in current during operation, resulting in a strong electromagnetic field in the surrounding area, affecting the charging efficiency of the charging compartments that are close, resulting in a single charging compartment needing to occupy a larger space to avoid electromagnetic interference between each other, which greatly restricts the development and application of battery swap cabinets. Summary of the invention

[0004] The present application provides a power control method, system and power swap cabinet of a power swap cabinet, which can reduce electromagnetic interference between charging compartments when the distance between adjacent charging compartments of the power swap cabinet is close, and improve the charging efficiency of the power swap cabinet.

[0005] In a first aspect, the present application provides a power control method for a battery swap cabinet. The method can be executed by a network device, or can be executed by a chip configured in the network device. The present application does not limit this.

[0006] Specifically, the method includes:

[0007] Obtaining charging state parameters of each rechargeable battery in the power swap cabinet, and predicting the expected load power of the power swap cabinet according to the charging state parameters of each rechargeable battery;

[0008] When the expected load power is higher than the power threshold, a full-power charging compartment is selected as the selected charging compartment according to the charging state parameters of each rechargeable battery, and the power frequency of the selected charging compartment is adjusted according to the calibrated frequency linear interval;

[0009] Collecting the charging powers corresponding to the adjacent charging compartments of the selected charging compartment, and determining the charging efficiency interference degrees corresponding to the adjacent charging compartments based on the frequency linear interval and the charging powers corresponding to the adjacent charging compartments;

[0010] Determine the position weights of each adjacent charging compartment according to the tag numbers corresponding to each adjacent charging compartment, perform a credible analysis on the charging efficiency interference degree corresponding to each adjacent charging compartment based on the position weights, and determine the electromagnetic interference safety factor;

[0011] The electromagnetic interference safety factor is used as a control parameter to adjust the maximum charging power of the battery swap cabinet when charging the battery.

[0012] In combination with the first aspect, in certain implementations of the first aspect, predicting the expected load power of the battery swap cabinet according to the charging state parameters of each rechargeable battery specifically includes:

[0013] Determine the output power corresponding to each charging compartment according to the charging state parameters of each rechargeable battery;

[0014] Determine the real-time load power of the power swap cabinet based on the output power corresponding to each charging compartment;

[0015] The real-time load power is acquired according to a preset prediction period to construct a power prediction model, and the expected load power of the power exchange cabinet is predicted by the power prediction model.

[0016] In combination with the first aspect, in some implementations of the first aspect, a moving average autoregressive model of the real-time load power is determined as the power prediction model.

[0017] In conjunction with the first aspect, in some implementations of the first aspect, determining the position weights corresponding to the adjacent charging bins according to the tag numbers corresponding to the adjacent charging bins specifically includes:

[0018] Get the tag number of the selected charging compartment,

[0019] Determine the spatial distance between each adjacent charging compartment and the selected charging compartment based on the tag numbers corresponding to each adjacent charging compartment and the tag number of the selected charging compartment;

[0020] A corresponding position weight is assigned to each adjacent charging compartment according to the spatial distance between each adjacent charging compartment and the selected charging compartment.

[0021] In combination with the first aspect, in some implementations of the first aspect, performing a credible analysis on the charging efficiency interference degree corresponding to each adjacent charging compartment based on the position weight, and determining the electromagnetic interference safety factor specifically includes:

[0022] Obtain the charging efficiency interference degree and position weight corresponding to each adjacent charging warehouse; determine the credible probability of electromagnetic influence according to the charging efficiency interference degree and position weight corresponding to each adjacent charging warehouse;

[0023] When the credible probability of the electromagnetic impact is higher than the credible threshold, the charging efficiency interference degrees corresponding to each adjacent charging warehouse are weightedly integrated based on the position weight to obtain the electromagnetic interference safety factor;

[0024] When the credible probability of the electromagnetic impact is lower than the credible threshold, the electromagnetic interference safety factor is set to zero.

[0025] In combination with the first aspect, in certain implementations of the first aspect, the electromagnetic interference safety factor is used as a control parameter. In the process of adjusting the maximum charging power of the battery swap cabinet when charging the battery, the electromagnetic interference safety factor is used as a control parameter in the proportional-integral-differential controller, and then the proportional-integral-differential controller is used to adjust the maximum charging power of the battery swap cabinet when charging the battery.

[0026] In a second aspect, the present application provides a power control system for a power exchange cabinet, which includes:

[0027] A data acquisition module is used to obtain the charging state parameters of each rechargeable battery in the power swap cabinet, and predict the expected load power of the power swap cabinet according to the charging state parameters of each rechargeable battery;

[0028] a data processing module, configured to select a full-power charging compartment as a selected charging compartment according to charging state parameters of each rechargeable battery when the expected load power is higher than a power threshold, and adjust the power frequency of the selected charging compartment according to a calibrated frequency linear interval;

[0029] The data processing module is further used to collect the charging powers corresponding to the adjacent charging compartments of the selected charging compartment, and determine the charging efficiency interference degree corresponding to the adjacent charging compartments based on the frequency linear interval and the charging powers corresponding to the adjacent charging compartments;

[0030] The data processing module is further used to determine the position weights corresponding to the adjacent charging compartments according to the tag numbers corresponding to the adjacent charging compartments, and to perform a credible analysis on the charging efficiency interference degrees corresponding to the adjacent charging compartments based on the position weights to determine the electromagnetic interference safety factor;

[0031] The power regulation module is used to use the electromagnetic interference safety factor as a control parameter to adjust the maximum charging power of the battery when the power exchange cabinet charges the battery.

[0032] In a third aspect, the present application provides a power swap cabinet, which includes the above-mentioned power swap cabinet power control system.

[0033] In a fourth aspect, the present application provides a computer terminal device, which includes a memory and a processor, wherein the memory stores a code, and the processor is configured to obtain the code and execute the above-mentioned power control method of the power exchange cabinet.

[0034] In a fifth aspect, the present application provides a computer-readable storage medium, which stores at least one computer program, and the computer program is loaded and executed by a processor to implement the operations performed by the above-mentioned power control method of the power exchange cabinet.

[0035] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects:

[0036] In a power control method, system and power swap cabinet provided by the present application, the charging state parameters of each rechargeable battery in the power swap cabinet are first obtained, and the expected load power of the power swap cabinet is predicted according to the charging state parameters of each rechargeable battery; when the expected load power is higher than the power threshold, a full-power charging bin is selected as the selected charging bin according to the charging state parameters of each rechargeable battery, and the power supply frequency of the selected charging bin is adjusted according to the calibrated frequency linear range; the charging powers corresponding to each adjacent charging bin of the selected charging bin are collected, and the charging efficiency interference degrees corresponding to each adjacent charging bin are determined based on the frequency linear range and the charging powers corresponding to each adjacent charging bin; the position weights corresponding to each adjacent charging bin are determined according to the label numbers corresponding to each adjacent charging bin, and the charging efficiency interference degrees corresponding to each adjacent charging bin are credibly analyzed based on the position weights to determine the electromagnetic interference safety factor; the electromagnetic interference safety factor is used as a control parameter to adjust the maximum charging power of the power swap cabinet when charging the battery.

[0037] It can be seen that in this application, based on the charging power of adjacent charging bins and the adjusted frequency linear interval, the system can calculate the charging efficiency interference between each charging bin, and the charging efficiency interference is used to characterize the impact of electromagnetic interference caused by power frequency and power regulation on the charging efficiency, and then by determining the label number of each charging bin and performing weighted analysis on the charging efficiency interference according to the position weight. The introduction of position weight makes the analysis of electromagnetic interference more accurate. In the process of performing credible analysis based on the charging efficiency interference and position weight to derive the electromagnetic interference safety factor, charging bins in different positions are affected differently by electromagnetic interference. By weighting the interference according to the position weight, the actual impact range and intensity of electromagnetic interference can be accurately evaluated. The electromagnetic interference safety factor reflects the electromagnetic interference risk faced under the current charging state. If the electromagnetic interference safety factor is high, the system will actively adjust the charging power limit according to the electromagnetic interference safety factor to avoid excessive electromagnetic interference affecting the charging efficiency of the charging bin when the adjacent charging bins of the battery swap cabinet are close.

[0038] To summarize, the present application uses the electromagnetic interference safety factor as a control parameter to adjust the maximum charging power of the battery swap cabinet when charging the battery, thereby reducing the electromagnetic interference between the charging compartments when the adjacent charging compartments of the battery swap cabinet are close, thereby improving the charging efficiency of the battery swap cabinet. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 is an exemplary flow chart of a power control method for a power exchange cabinet according to some embodiments of the present application;

[0040] Figure 2 is an exemplary flow chart for determining expected load power in some embodiments of the present application;

[0041] Figure 3 It is a structural schematic diagram of a power exchange cabinet power control system according to some embodiments of the present application;

[0042] Figure 4 It is a structural schematic diagram of a computer terminal device for implementing a power exchange cabinet power control method as shown in some embodiments of the present application. DETAILED DESCRIPTION

[0043] The present application obtains the charging status parameters of each rechargeable battery in the battery swap cabinet, and predicts the expected load power of the battery swap cabinet according to the charging status parameters of each rechargeable battery; when the expected load power is higher than the power threshold, the full-power charging bin is selected as the selected charging bin according to the charging status parameters of each rechargeable battery, and the power supply frequency of the selected charging bin is adjusted according to the calibrated frequency linear interval; the charging powers corresponding to each adjacent charging bin of the selected charging bin are collected, and the charging efficiency interference degree corresponding to each adjacent charging bin is determined based on the frequency linear interval and the charging powers corresponding to each adjacent charging bin; the position weight corresponding to each adjacent charging bin is determined according to the label number corresponding to each adjacent charging bin, and the charging efficiency interference degree corresponding to each adjacent charging bin is credibly analyzed based on the position weight to determine the electromagnetic interference safety factor; the electromagnetic interference safety factor is used as a control parameter to adjust the maximum charging power of the battery swap cabinet when charging, which can reduce the electromagnetic interference between the charging bins when the adjacent charging bins of the battery swap cabinet are close, thereby improving the charging efficiency of the battery swap cabinet.

[0044] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. Figure 1 , which is an exemplary flow chart of a power exchange cabinet power control method according to some embodiments of the present application. The power exchange cabinet power control method 100 mainly includes the following steps:

[0045] In step S101, the charging state parameters of each rechargeable battery in the battery swap cabinet are obtained, and the expected load power of the battery swap cabinet is predicted based on the charging state parameters of each rechargeable battery.

[0046] Optionally, in some embodiments, the charging status parameters of each rechargeable battery in the battery swap cabinet can be obtained through the real-time data cache module in the battery swap cabinet, wherein the charging status parameters of each rechargeable battery specifically include: the current charging voltage of the battery, the current charging current, and the current remaining power of the battery; Optionally, in some embodiments, corresponding sensor elements can be used to collect the charging status parameters of the rechargeable battery and transmit them to the real-time data cache module in the battery swap cabinet. The real-time data cache module is used to store the status data of each battery in a short period of time, thereby avoiding the impact of communication delays and improving the effectiveness of power control of the battery swap cabinet.

[0047] It should be noted that the expected load power is the maximum output power that the battery swap cabinet may reach in the near future, which is predicted based on the current charging state parameters. When the expected load power is higher than the preset threshold, it indicates that the output power of the battery swap cabinet is high, which may cause safety problems due to electromagnetic interference. Figure 2 As shown, this figure is an exemplary flow chart for determining the expected load power in some embodiments of the present application. The expected load power of the power exchange cabinet is predicted according to the charging state parameters of each rechargeable battery, which specifically includes:

[0048] In step S1011, the output power corresponding to each charging compartment is determined according to the charging state parameters of each rechargeable battery;

[0049] In step S1012, the real-time load power of the battery swap cabinet is determined based on the output power corresponding to each charging compartment;

[0050] In step S1013, the real-time load power is obtained according to a preset prediction period to construct a power prediction model, and the expected load power of the power exchange cabinet is predicted by the power prediction model.

[0051] In specific implementation, the charging current parameters and charging voltage parameters in the charging status parameters can be first obtained, and the output power of the corresponding charging warehouse can be calculated based on the charging current parameters and the charging voltage parameters, and then the sum of the output powers corresponding to each charging warehouse can be used as the real-time load power of the battery swap cabinet.

[0052] Optionally, in some embodiments, the prediction period is calibrated as a constant based on demand. In specific implementation, the prediction period may also be calibrated as 5 minutes.

[0053] Preferably, in some embodiments, a moving average autoregressive model of real-time load power is constructed as the power prediction model. A specific embodiment of the power prediction model constructed in the present application is given below: first, the sampling period is preset to 5 minutes. At this time, the real-time load power values ​​of the power exchange cabinet within the past 5 minutes can be recorded separately to obtain a historical load power series. In other embodiments, the prediction period can also be preset to other time lengths; and then a time series graph of the historical load power series can be drawn, and the horizontal axis of the time series graph corresponds to different moments. Then, the time series graph of the historical load power series set can be exponentially transformed to eliminate the trend of the variance changing over time in the time series graph.

[0054] Secondly, according to the time series diagram of the historical load power sequence, the autocorrelation coefficient diagram of the real-time load power is drawn, wherein the horizontal axis of the autocorrelation coefficient diagram is the number of lags and the vertical axis is the value of the autocorrelation coefficient. The partial autocorrelation coefficient diagram of the real-time load power is drawn, wherein the horizontal axis of the partial autocorrelation coefficient diagram is the number of lags and the vertical axis is the value of the partial autocorrelation coefficient.

[0055] According to the characteristics of the autocorrelation coefficient graph and the partial autocorrelation coefficient graph, the order of the model and the range of coefficient values ​​can be preliminarily determined. For example, the autocorrelation coefficient graph can be drawn to observe whether the autocorrelation coefficient shows truncation characteristics after a certain order. If the autocorrelation coefficient drops sharply after a certain order and remains near 0, the order of the autoregressive model can be preliminarily determined; the partial autocorrelation coefficient graph can be drawn to observe whether the partial autocorrelation coefficient shows truncation characteristics after a certain order. If the partial autocorrelation coefficient drops sharply after a certain order and remains near 0, the order of the moving average model can be preliminarily determined.

[0056] In specific implementation, we can first find the last significant autocorrelation coefficient according to the autocorrelation coefficient graph, which is the order of the autocorrelation model. For example, if the last significant autocorrelation coefficient in the autocorrelation coefficient graph is at the 3rd order, then the order of the autocorrelation model is 3; then, we can find the last significant partial autocorrelation coefficient according to the partial autocorrelation coefficient graph, which is the order of the moving average model. For example, if the last significant partial autocorrelation coefficient in the partial autocorrelation coefficient graph is at the 2nd order, then the order of the moving average model is 2; finally, we can determine the order of the moving average model according to the autocorrelation coefficient graph and the partial autocorrelation coefficient graph. The order of the autoregressive moving average model is (p, q). For example, if the autocorrelation coefficient graph and the partial autocorrelation coefficient graph both decay to zero after the third order, the order of the autoregressive moving average model is (3, 3). Then, according to the order of the autoregressive moving average model, appropriate parameters are selected to establish an autoregressive moving average model of the historical load power sequence. The historical load power sequence is brought into the autoregressive moving average model, and the subsequent real-time load power can be predicted, wherein the maximum value of all real-time load powers within the length of the next prediction period is taken as the expected load power.

[0057] In specific implementation, for example, the least squares method can be used to perform parameter estimation and significance test on the model autoregressive and moving average processes. In some embodiments, the test level of the significance test is 0.05. Finally, the most suitable autoregressive moving average model parameters are selected according to the Schwarz Bayes criterion to determine the final autoregressive moving average model of the real-time load power.

[0058] The autoregressive moving average model is a function of the change of the real-time load power in the past prediction period. By bringing the historical load power sequence into the autoregressive moving average model, the subsequent real-time load power can be predicted. In some embodiments, the maximum value of all real-time load powers within the length of the next prediction period is taken as the expected load power.

[0059] In step S102, when the expected load power is higher than the power threshold, a full-power charging compartment is selected as the selected charging compartment according to the charging state parameters of each rechargeable battery, and the power frequency of the selected charging compartment is adjusted according to the calibrated frequency linear range.

[0060] It should be noted that by obtaining the charging status parameters of each rechargeable battery and predicting the expected load power of the battery swap cabinet, it is possible to determine in advance whether the load power has reached a higher level, thereby deciding whether additional intervention measures are needed. In some embodiments, when the expected load power is lower than the power threshold, the battery swap cabinet is controlled to maintain the current charging state.

[0061] Optionally, in some embodiments, the power threshold is calibrated as a constant based on historical experience.

[0062] It should be noted that the full-power charging bin is the charging bin with the power closest to the maximum charging power. Since the full-power charging bin is usually in a constant voltage working mode, the charging current of the charging bin is relatively large at this time. Therefore, by adjusting the working frequency of the switching power supply in the full-power charging bin, the current change frequency of the charging bin can be changed, thereby changing the electromagnetic interference to the adjacent charging bin. By detecting the degree of influence on the charging efficiency of the adjacent charging bin (charging efficiency interference), the degree of electromagnetic interference between adjacent charging bins in the battery swap cabinet can be quantified. Therefore, when the electromagnetic interference intensity is large, by adjusting the frequency, quantifying the interference and dynamically controlling the maximum charging power, the solution can optimize the mutual influence between the charging bins during the charging process and reduce the decrease in charging efficiency due to electromagnetic interference. Especially when the charging bins are close to each other, this frequency adjustment and interference control measure can significantly reduce the mutual interference, thereby improving the overall charging efficiency.

[0063] Optionally, in some embodiments, the linear adjustment range (e.g., 10kHz to 12kHz) of the power frequency of the charging bin can be determined based on the power supply characteristics and electromagnetic interference suppression requirements, so as to achieve calibration of the frequency linear interval, and then within a preset time range, the switching power supply operating frequency of the selected charging bin is linearly adjusted from the current frequency to the lower limit of the frequency linear interval.

[0064] In step S103, the charging powers corresponding to the adjacent charging compartments of the selected charging compartment are collected, and the charging efficiency interference degrees corresponding to the adjacent charging compartments are determined based on the frequency linear interval and the charging powers corresponding to the adjacent charging compartments.

[0065] It should be noted that the charging efficiency interference degree is used to characterize the influence of electromagnetic interference caused by power frequency and power regulation on charging efficiency. Optionally, in some embodiments, based on the calibration frequency linear interval and the charging power corresponding to each adjacent charging compartment, determining the charging efficiency interference degree corresponding to each adjacent charging compartment specifically includes:

[0066] For any adjacent charging compartment, obtain the charging power sequence of the adjacent charging compartment and construct a charging power curve;

[0067] Obtain a standard charging power curve and perform feature matching with the charging power curve of the charging bin, determine a feature matching score between the standard charging power curve and the charging power curve of the charging bin within the sliding time window according to a preset sliding time window, and determine a correlation between the frequency value of the frequency linear interval and the feature matching score based on the time tag as the charging efficiency interference degree corresponding to the charging bin;

[0068] Then, the same method is used to determine the charging efficiency interference degree corresponding to each adjacent charging compartment.

[0069] In specific implementation, within the time range of adjusting the power frequency of the selected charging warehouse, the charging power values ​​corresponding to each adjacent charging warehouse are collected by sensors, and a charging power sequence is formed for each adjacent charging warehouse. The charging power sequence includes the charging power value and the corresponding time value. In some embodiments, the polynomial interpolation method can be used to perform data fitting according to the time series of the time value to obtain the charging power curve of the adjacent charging warehouse.

[0070] Optionally, in some embodiments, the standard charging power curve can be obtained through experimental testing before the battery leaves the factory, wherein the standard charging power curve includes a constant current stage and a constant voltage stage, and the initial charging power of the charging power curve can be time-aligned with the charging time of the standard charging power curve at the same power, and then the standard charging power curve with the same time length as the charging power curve can be intercepted for feature matching.

[0071] Optionally, in some embodiments, the power values ​​of the charging power curve and the standard charging power curve can be obtained at equal intervals in the sliding time window, and a data vector is constructed. The cosine similarity between the data vectors is used as the feature matching score of the sliding time window. Then, for the charging power curve corresponding to any adjacent charging warehouse, there are multiple sliding time windows within the time range of the curve. The initial time value of the sliding time window is used as the time label of the sliding time window; then, the frequency value corresponding to the frequency linear interval is determined according to the time label of each sliding time window, and the Pearson correlation coefficient between the feature matching score of each sliding time window of the adjacent charging warehouse and the corresponding frequency value is used as the charging efficiency interference degree of the adjacent charging warehouse.

[0072] In step S104, the position weights corresponding to the adjacent charging compartments are determined according to the label numbers corresponding to the adjacent charging compartments, and the charging efficiency interference degrees corresponding to the adjacent charging compartments are analyzed based on the position weights to determine the electromagnetic interference safety factor.

[0073] Optionally, in some embodiments, determining the position weights corresponding to the adjacent charging compartments according to the tag numbers corresponding to the adjacent charging compartments specifically includes:

[0074] Get the tag number of the selected charging compartment,

[0075] Determine the spatial distance between each adjacent charging compartment and the selected charging compartment based on the tag numbers corresponding to each adjacent charging compartment and the tag number of the selected charging compartment;

[0076] A corresponding position weight is assigned to each adjacent charging compartment according to the spatial distance between each adjacent charging compartment and the selected charging compartment.

[0077] In specific implementation, the position weight function corresponding to each adjacent charging warehouse can be determined according to a preset position weight function, wherein the input of the position weight function is the spatial distance from the adjacent charging warehouse to the selected charging warehouse, and the output of the position weight function is the position weight corresponding to the adjacent charging warehouse. In some embodiments, an inverse proportional function can be selected as the position weight function, that is, the inverse value of the spatial distance from the adjacent charging warehouse to the selected charging warehouse is output as the position weight corresponding to the adjacent charging warehouse. In some other embodiments, the ratio of the spatial distance from the adjacent charging warehouse to the selected charging warehouse to the preset distance value can also be output as the position weight corresponding to the adjacent charging warehouse.

[0078] Optionally, in some embodiments, in order to simplify the calculation process, the product of the difference between the label numbers corresponding to the two charging compartments and the standard distance length can be used as the spatial distance between the two charging compartments, and this application does not limit this.

[0079] It should be noted that the electromagnetic interference safety factor described in this application reflects the electromagnetic interference risk faced in the current charging state. If the electromagnetic interference safety factor is high, the system will actively adjust the charging power limit according to the electromagnetic interference safety factor to avoid excessive electromagnetic interference affecting the charging efficiency of the charging compartment when the adjacent charging compartments of the battery swap cabinet are close. Preferably, in some embodiments, a credible analysis is performed on the charging efficiency interference degree corresponding to each adjacent charging compartment based on the position weight, and the determination of the electromagnetic interference safety factor specifically includes:

[0080] Obtain the charging efficiency interference degree and position weight corresponding to each adjacent charging warehouse; determine the credible probability of electromagnetic influence according to the charging efficiency interference degree and position weight corresponding to each adjacent charging warehouse;

[0081] When the credible probability of the electromagnetic impact is higher than the credible threshold, the charging efficiency interference degrees corresponding to each adjacent charging warehouse are weightedly integrated based on the position weight to obtain the electromagnetic interference safety factor;

[0082] When the credible probability of the electromagnetic impact is lower than the credible threshold, the electromagnetic interference safety factor is set to zero.

[0083] Optionally, in some embodiments, the Pearson correlation coefficient between the charging efficiency interference degree and the position weight corresponding to each adjacent charging compartment can be used as the credible probability of the electromagnetic influence. In specific implementation, the credible threshold is calibrated to 0.7.

[0084] In step S105, the electromagnetic interference safety factor is used as a control parameter to adjust the maximum charging power of the battery swap cabinet when charging the battery.

[0085] Optionally, in some embodiments, the electromagnetic interference safety factor is used as a control parameter. In the process of adjusting the maximum charging power of the battery swap cabinet when charging the battery, the electromagnetic interference safety factor can be used as a control parameter in a proportional-integral-differential controller (Proportion Integration Differentiation, PID controller), and then the PID controller is used to adjust the maximum charging power of the battery swap cabinet when charging the battery. It should be noted that the PID controller works together through the three terms of proportion (P), integration (I) and differentiation (D). The PID controller adjusts the current value of the charging bin during the constant voltage charging stage according to the error between the target current value and the actual current value of the charging bin. In specific implementation, the electromagnetic interference safety factor can be used as the negative feedback gain coefficient of the PID controller. When the electromagnetic interference safety factor is large, the upper limit of the charging current is limited by increasing the negative feedback value of the PID controller, thereby controlling the maximum charging power of the battery swap cabinet when charging the battery.

[0086] In addition, in another aspect of the present application, in some embodiments, the present application provides a power exchange cabinet power control system, referring to Figure 3 , which is a schematic diagram of the structure of a power exchange cabinet power control system according to some embodiments of the present application. The power exchange cabinet power control system 200 includes: a data acquisition module 201, a data processing module 202 and a power regulation module 203, which are described as follows:

[0087] The data acquisition module 201 is used in some embodiments of the present application to obtain the charging state parameters of each rechargeable battery in the power swap cabinet, and predict the expected load power of the power swap cabinet according to the charging state parameters of each rechargeable battery;

[0088] The data processing module 202 is used in some embodiments of the present application to select a full-power charging compartment as a selected charging compartment according to the charging state parameters of each rechargeable battery when the expected load power is higher than the power threshold, and adjust the power frequency of the selected charging compartment according to a calibrated frequency linear interval;

[0089] The data processing module 202, in some embodiments of the present application, is further used to collect the charging powers corresponding to the adjacent charging bins of the selected charging bin, and determine the charging efficiency interference degrees corresponding to the adjacent charging bins based on the frequency linear interval and the charging powers corresponding to the adjacent charging bins;

[0090] The data processing module 202, in some embodiments of the present application, is further used to determine the position weights corresponding to the adjacent charging compartments according to the tag numbers corresponding to the adjacent charging compartments, and to perform a credible analysis on the charging efficiency interference degrees corresponding to the adjacent charging compartments based on the position weights to determine the electromagnetic interference safety factor;

[0091] The power regulation module 203 is used in some embodiments of the present application to use the electromagnetic interference safety factor as a control parameter to adjust the maximum charging power of the battery swap cabinet when charging the battery.

[0092] In addition, in another aspect of the present application, in some embodiments, the present application provides a power swap cabinet, which includes the above-mentioned power swap cabinet power control system, which can realize power control of the power swap cabinet, and will not be repeated here.

[0093] The above describes in detail a power control method, system and example of a battery swap cabinet provided in an embodiment of the present application. It can be understood that in order to realize the above functions, the corresponding device includes hardware structures and / or software modules corresponding to executing each function.

[0094] Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed in this document, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function in the application is executed in hardware or in a computer software-driven hardware manner depends on the specific application and design constraints of the technical solution. Therefore, professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0095] In addition, the present application also provides a computer terminal device, which includes a memory and a processor, the memory stores a code, and the processor is configured to obtain the code and execute the above-mentioned power control method of the power exchange cabinet.

[0096] In some embodiments, reference Figure 4 , which is a schematic diagram of the structure of a computer terminal device for implementing a power exchange cabinet power control method according to some embodiments of the present application. The power exchange cabinet power control method in the above embodiment can be Figure 4 The computer terminal device 300 shown in the figure is implemented, and the computer terminal device 300 includes at least one communication bus 301, a communication interface 302, a processor 303 and a memory 304.

[0097] Processor 303 can be a general-purpose central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more for controlling the execution of a power control method for a battery swap cabinet in the present application.

[0098] The communication bus 301 may include a path for transmitting information between the above-mentioned components.

[0099] The memory 304 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 304 may exist independently and be connected to the processor 303 via the communication bus 301. The memory 304 may also be integrated with the processor 303.

[0100] The memory 304 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 303. The processor 303 is used to execute the program code stored in the memory 304. The program code may include one or more software modules. The determination of the expected load power in the above embodiment can be implemented by the processor 303 and one or more software modules in the program code in the memory 304.

[0101] The communication interface 302 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0102] Optionally, the computer terminal device 300 may further include a power supply 305 for providing power to various devices or circuits in the real-time computer terminal device.

[0103] In a specific implementation, as an embodiment, a computer terminal device may include multiple processors, each of which may be a single-CPU processor or a multi-CPU processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions).

[0104] The above-mentioned computer terminal device may be a general-purpose computer terminal device or a dedicated computer terminal device. In a specific implementation, the computer terminal device may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer terminal device.

[0105] In addition, in other aspects of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores at least one computer program, and the computer program is loaded and executed by a processor to implement the operations performed by the above-mentioned power control method of the power exchange cabinet.

[0106] In summary, in a power control method, system and power swap cabinet disclosed in an embodiment of the present application, the charging state parameters of each rechargeable battery in the power swap cabinet are first obtained, and the expected load power of the power swap cabinet is predicted according to the charging state parameters of each rechargeable battery; when the expected load power is higher than the power threshold, a full-power charging bin is selected as the selected charging bin according to the charging state parameters of each rechargeable battery, and the power supply frequency of the selected charging bin is adjusted according to the calibrated frequency linear interval; the charging powers corresponding to each adjacent charging bin of the selected charging bin are collected, and the charging efficiency interference degrees corresponding to each adjacent charging bin are determined based on the frequency linear interval and the charging powers corresponding to each adjacent charging bin; the position weights corresponding to each adjacent charging bin are determined according to the label numbers corresponding to each adjacent charging bin, and the charging efficiency interference degrees corresponding to each adjacent charging bin are credibly analyzed based on the position weights to determine the electromagnetic interference safety factor; the electromagnetic interference safety factor is used as a control parameter to adjust the maximum charging power of the power swap cabinet when charging the battery, which can reduce the electromagnetic interference between the charging bins when the adjacent charging bins of the power swap cabinet are close, thereby improving the charging efficiency of the power swap cabinet.

[0107] The above is only an embodiment of the present application, and the common knowledge such as the known specific technical solutions or characteristics in the solution is not described in detail here. It should be pointed out that for those skilled in the art, without departing from the technical solution of the present application, several modifications and improvements can be made, which should also be regarded as the protection scope of the present application, and these will not affect the effect of the implementation of the present application and the practicality of the patent.

[0108] The scope of protection claimed by this application shall be based on the content of its claims. The specific implementation methods and other records in the specification can be used to interpret the content of the claims. Obviously, those skilled in the art can make various changes and modifications to this application without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is also intended to include these modifications and variations.

Claims

1. A power control method for a power exchange cabinet, characterized in that: include: Obtaining charging state parameters of each rechargeable battery in the power swap cabinet, and predicting the expected load power of the power swap cabinet according to the charging state parameters of each rechargeable battery; When the expected load power is higher than the power threshold, a full-power charging compartment is selected as the selected charging compartment according to the charging state parameters of each rechargeable battery, and the power frequency of the selected charging compartment is adjusted according to the calibrated frequency linear interval; Collecting the charging powers corresponding to the adjacent charging compartments of the selected charging compartment, and determining the charging efficiency interference degrees corresponding to the adjacent charging compartments based on the frequency linear interval and the charging powers corresponding to the adjacent charging compartments; Determine the position weights of each adjacent charging compartment according to the tag numbers corresponding to each adjacent charging compartment, perform a credible analysis on the charging efficiency interference degree corresponding to each adjacent charging compartment based on the position weights, and determine the electromagnetic interference safety factor; The electromagnetic interference safety factor is used as a control parameter to adjust the maximum charging power of the battery swap cabinet when charging the battery.

2. The method according to claim 1, characterized in that The expected load power of the battery swap cabinet is predicted based on the charging state parameters of each rechargeable battery and specifically includes: Determine the output power corresponding to each charging compartment according to the charging state parameters of each rechargeable battery; Determine the real-time load power of the power swap cabinet based on the output power corresponding to each charging compartment; The real-time load power is acquired according to a preset prediction period to construct a power prediction model, and the expected load power of the power exchange cabinet is predicted by the power prediction model.

3. The method according to claim 2, characterized in that A moving average autoregressive model of the real-time load power is determined as the power prediction model.

4. The method according to claim 1, characterized in that Determining the position weights corresponding to the adjacent charging bins according to the tag numbers corresponding to the adjacent charging bins specifically includes: Get the tag number of the selected charging compartment, Determine the spatial distance between each adjacent charging compartment and the selected charging compartment based on the tag numbers corresponding to each adjacent charging compartment and the tag number of the selected charging compartment; A corresponding position weight is assigned to each adjacent charging compartment according to the spatial distance between each adjacent charging compartment and the selected charging compartment.

5. The method according to claim 1, characterized in that Based on the location weight, the charging efficiency interference degree corresponding to each adjacent charging warehouse is analyzed to determine the electromagnetic interference safety factor, including: Obtain the charging efficiency interference degree and position weight corresponding to each adjacent charging warehouse; determine the credible probability of electromagnetic influence according to the charging efficiency interference degree and position weight corresponding to each adjacent charging warehouse; When the credible probability of the electromagnetic impact is higher than the credible threshold, the charging efficiency interference degrees corresponding to each adjacent charging warehouse are weightedly integrated based on the position weight to obtain the electromagnetic interference safety factor; When the credible probability of the electromagnetic impact is lower than the credible threshold, the electromagnetic interference safety factor is set to zero.

6. The method according to claim 1, characterized in that The electromagnetic interference safety factor is used as a control parameter to adjust the maximum charging power of the battery when the battery swap cabinet is charging. The electromagnetic interference safety factor is used as a control parameter in the proportional-integral-differential controller, and the proportional-integral-differential controller is then used to adjust the maximum charging power of the battery when the battery swap cabinet is charging.

7. A power control system for a power exchange cabinet, characterized in that: include: A data acquisition module is used to obtain the charging state parameters of each rechargeable battery in the power swap cabinet, and predict the expected load power of the power swap cabinet according to the charging state parameters of each rechargeable battery; A data processing module, configured to select a full-power charging compartment as a selected charging compartment according to charging state parameters of each rechargeable battery when the expected load power is higher than a power threshold, and adjust the power frequency of the selected charging compartment according to a calibrated frequency linear interval; The data processing module is further used to collect the charging power corresponding to each adjacent charging compartment of the selected charging compartment, and determine the charging efficiency interference degree corresponding to each adjacent charging compartment based on the frequency linear interval and the charging power corresponding to each adjacent charging compartment; The data processing module is further used to determine the position weights corresponding to the adjacent charging compartments according to the tag numbers corresponding to the adjacent charging compartments, and to perform a credible analysis on the charging efficiency interference degrees corresponding to the adjacent charging compartments based on the position weights to determine the electromagnetic interference safety factor; The power regulation module is used to use the electromagnetic interference safety factor as a control parameter to adjust the maximum charging power of the battery when the power exchange cabinet charges the battery.

8. A power exchange cabinet, characterized in that: The power exchange cabinet includes the power exchange cabinet power control system described in claim 7.

9. A computer terminal device, characterized in that: The computer terminal device includes a memory and a processor, the memory stores a code, and the processor is configured to obtain the code and execute the power control method of the power exchange cabinet as described in any one of claims 1 to 6.

10. A computer-readable storage medium storing at least one computer program, characterized in that: The computer program is loaded and executed by a processor to implement the operations performed by the power control method for a power exchange cabinet as described in any one of claims 1 to 6.

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