A power exchange cabinet and power supply control method thereof

Abstract

The present application provides a battery swap cabinet and a power supply control method thereof. The power supply curve of each battery pack is obtained by performing trend extrapolation on the historical power supply record and distribution gain value of the battery swap cabinet and the power change of each battery pack, and the effective power load of the battery swap cabinet is determined according to all the power supply curves; the battery demand information of the battery swap cabinet within a predetermined time period is predicted according to the use record of the battery swap cabinet, and then the reference frequency of power swapping of the battery swap cabinet within the predetermined time period is determined according to the battery demand information and the distribution gain value; the reference frequency and the effective power load are trend matched based on a two-way matching mechanism to obtain the power supply matching degree of the battery swap cabinet within the predetermined time period, and when the power supply matching degree is lower than the preset power supply threshold, the power supply mode of each battery pack in the battery swap cabinet is adaptively adjusted. Based on the above scheme, dynamic adaptive adjustment of the power supply mode in the battery swap cabinet can be realized, thereby improving the power supply efficiency of the battery swap cabinet.

Description

Technical Field

[0001] The present application relates to the field of phased array radar technology, and more specifically, to a power exchange cabinet and a power supply control method thereof. Background Art

[0002] A battery swap cabinet is a device used for electric vehicles or electric bicycles, which specializes in providing battery replacement services. The battery swap cabinet can store multiple batteries. Users can replace depleted batteries with fully charged batteries through intelligent system operations, thereby reducing charging waiting time and improving vehicle efficiency. Battery swap cabinets are mainly used for electric vehicles and other electric transportation vehicles. With the popularization of electric vehicles, the construction of charging piles faces challenges such as site limitations and long charging time. Battery swap cabinets use automation technology to achieve rapid battery replacement, greatly shortening the charging time and improving user experience.

[0003] Battery swap cabinets are usually equipped with intelligent monitoring systems that can monitor battery status, such as charge level, temperature, and health level, in real time to ensure battery safety and efficiency. In actual use, different battery packs in the battery swap cabinet receive different power supplies during the same time period. The reasons include the initial state of the battery pack, frequency of use, and environmental factors. This may cause some battery packs to be overcharged or over-discharged, thereby shortening their service life and affecting overall performance. Dynamic adaptive adjustment of the power supply mode can achieve balanced and reasonable energy distribution by adjusting the power supply strategy through real-time monitoring of the charge level and health status of each battery pack. Therefore, how to achieve dynamic adaptive adjustment of the power supply mode in the battery swap cabinet to improve the power supply efficiency of the battery swap cabinet is a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides a power swap cabinet and a power supply control method thereof, which can realize dynamic adaptive adjustment of the power supply mode in the power swap cabinet, thereby improving the power supply efficiency of the power swap cabinet.

[0005] In a first aspect, the present application provides a power supply control method for a power exchange cabinet, comprising:

[0006] Real-time monitoring of battery information of each battery pack in the battery swap cabinet;

[0007] Determine the distribution gain value of the battery swap frequency in the battery swap cabinet according to the battery health status in each battery information and the battery swap interval of each battery group;

[0008] The power supply mode of the battery swap cabinet for each battery group is set by the current battery power in each battery information, and then the trend of the power change of each battery group under the corresponding power supply mode is extrapolated by the distribution gain value and the historical power supply record of the battery swap cabinet to obtain the power supply curve of each battery group, and the effective power load of the battery swap cabinet within a predetermined time period is determined according to all the power supply curves;

[0009] Predicting the battery demand information of the battery swap cabinet within a predetermined time period based on the pre-collected usage record of the battery swap cabinet, and then determining the reference frequency of battery swapping of the battery swap cabinet within the predetermined time period based on the battery demand information and the allocation gain value;

[0010] Based on the two-way matching mechanism, the reference frequency and the effective power load are trend matched to obtain the power supply matching degree of the battery swap cabinet within a predetermined time period. When the power supply matching degree is lower than the preset power supply threshold, the power supply mode of each battery pack in the battery swap cabinet is adaptively adjusted.

[0011] In some embodiments, determining the distribution gain value of the battery swap frequency in the battery swap cabinet according to the battery health status in each battery information and the battery swap interval of each battery pack specifically includes:

[0012] For each battery pack in the battery swap cabinet, determine the battery health status in the battery information of the battery pack and the impact value of battery swap on the charging speed;

[0013] Determine the energy consumption impact value of power supply energy consumption through the battery replacement interval of the battery pack;

[0014] Determine the frequency gain of the battery pack according to the battery swap impact value and the energy consumption impact value, and then obtain the frequency gain of each battery pack in the battery swap cabinet;

[0015] The distribution gain value of the battery swapping frequency in the battery swapping cabinet is determined based on all frequency gains.

[0016] In some embodiments, setting the power supply mode of each battery pack by the power exchange cabinet according to the current battery power in each battery information specifically includes:

[0017] Obtain the charging mode of the battery swap cabinet under various battery states;

[0018] For each battery pack, the current battery power in the battery information of the battery pack is matched with the battery state, thereby obtaining a charging mode of the battery pack;

[0019] The power supply mode of the battery swap cabinet to the battery pack is determined according to the charging mode, and then the power supply mode of the battery swap cabinet to each battery pack is obtained.

[0020] In some embodiments, the power supply curve of each battery pack is obtained by performing trend extrapolation on the power change of each battery pack in the corresponding power supply mode based on the distribution gain value and the historical power supply record of the power exchange cabinet, and specifically includes:

[0021] For each battery pack, obtain the current battery capacity of the battery pack;

[0022] According to the historical power supply records of the power exchange cabinet and the current battery power, the power change trend of the battery pack in the corresponding power supply mode is predicted to obtain the power prediction curve;

[0023] The electric energy prediction curve is converted into a power supply curve according to the allocation gain value, thereby obtaining a power supply curve for each battery pack.

[0024] In some embodiments, determining the effective power load of the power exchange cabinet within a predetermined time period according to all power supply curves specifically includes:

[0025] Extracting the power supply segment of each battery group within a predetermined time period from each power supply curve;

[0026] Determine the power supply load value of each power supply section;

[0027] Determine the effective power load of the power exchange cabinet within a predetermined time period based on all power supply load values.

[0028] In some embodiments, determining the reference frequency of battery swapping of the battery swap cabinet within a predetermined time period based on the battery demand information and the allocation gain value specifically includes:

[0029] Predicting the number of battery swaps of the battery swap cabinet within a predetermined time period according to the battery demand information to obtain a battery swap prediction curve;

[0030] Converting the power exchange amount prediction curve into a power exchange amount curve by using the distribution gain value;

[0031] The base frequency of battery replacement of the battery replacement cabinet within a predetermined time period is determined according to the battery replacement amount curve.

[0032] In some embodiments, the power supply mode includes a constant current charging mode, a constant voltage charging mode, a trickle charging mode, a high power charging mode and a power limiting mode.

[0033] In a second aspect, the present application provides a power exchange cabinet, including a control unit, wherein the control unit includes:

[0034] Monitoring module, used to monitor the battery information of each battery pack in the battery swap cabinet in real time;

[0035] A processing module, used to determine the distribution gain value of the battery replacement frequency in the battery replacement cabinet according to the battery health status in the battery information and the battery replacement interval of each battery group;

[0036] The processing module is also used to set the power supply mode of the battery swap cabinet to each battery group according to the current battery power in each battery information, and then perform trend extrapolation on the power change of each battery group under the corresponding power supply mode according to the distribution gain value and the historical power supply record of the battery swap cabinet to obtain the power supply curve of each battery group, and determine the effective power load of the battery swap cabinet within a predetermined time period according to all the power supply curves;

[0037] The processing module is also used to predict the battery demand information of the battery swap cabinet within a predetermined time period based on the pre-collected battery swap cabinet usage record, and then determine the reference frequency of battery swapping of the battery swap cabinet within the predetermined time period based on the battery demand information and the allocation gain value;

[0038] An execution module is used to perform trend matching between the reference frequency and the effective power load based on a two-way matching mechanism to obtain a power supply matching degree of the battery swap cabinet within a predetermined time period. When the power supply matching degree is lower than a preset power supply threshold, the power supply mode of each battery pack in the battery swap cabinet is adaptively adjusted.

[0039] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned power supply control method of the power exchange cabinet.

[0040] In a fourth aspect, the present application provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes are run on a computer, the computer implements the above-mentioned power supply control method for the power exchange cabinet when executing.

[0041] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects:

[0042] In a battery swap cabinet and its power supply control method provided by the present application, battery information of each battery group in the battery swap cabinet is monitored in real time; the allocation gain value of the battery swap frequency in the battery swap cabinet is determined according to the battery health status in each battery information and the battery swap interval of each battery group; the power supply mode of the battery swap cabinet for each battery group is set according to the current battery power in each battery information, and then the trend of the electric energy change of each battery group under the corresponding power supply mode is extrapolated according to the allocation gain value and the historical power supply record of the power swap cabinet to obtain the power supply curve of each battery group, and the effective power load of the power swap cabinet within a predetermined time period is determined according to all the power supply curves; the battery demand information of the power swap cabinet within a predetermined time period is predicted according to the pre-collected battery swap cabinet usage record, and then the reference frequency of battery swapping of the power swap cabinet within the predetermined time period is determined according to the battery demand information and the allocation gain value; the reference frequency and the effective power load are trend matched based on a two-way matching mechanism to obtain the power supply matching degree of the power swap cabinet within the predetermined time period, and when the power supply matching degree is lower than the preset power supply threshold, the power supply mode of each battery group in the power swap cabinet is adaptively adjusted.

[0043] It can be seen that in the present application, based on the two-way matching mechanism, the reference frequency and the effective power load are trend matched to obtain the power supply matching degree of the battery swap cabinet within the predetermined time period. When the power supply matching degree is lower than the preset power supply threshold, the power supply mode of each battery pack in the battery swap cabinet is adaptively adjusted; firstly, the effective power load is determined to obtain the total power provided by all battery packs of the battery swap cabinet within the predetermined time period, wherein the generation of the corresponding power supply curve of each battery pack within the predetermined time period facilitates the subsequent acquisition of a more accurate effective power load of the battery swap cabinet within the predetermined time period, so that the power supply strategy can ensure higher power supply efficiency; secondly, By determining the reference frequency, the dynamic trend of the battery swapping demand of the battery swap cabinet within the predetermined time period can be obtained. Predicting the battery demand information based on the pre-collected battery swap cabinet usage records can effectively improve the adaptability of the power supply mode, thereby effectively identifying peak hours and demand patterns, and more accurately predicting future battery demand. Combined with the information of the allocated gain value, the battery swap cabinet can more effectively adjust the power supply mode, thereby facilitating a more accurate matching of the power supply capacity and the battery swapping demand in the future to improve the power supply efficiency of the battery swap cabinet. In summary, based on the above scheme, dynamic adaptive adjustment of the power supply mode in the battery swap cabinet can be achieved, thereby improving the power supply efficiency of the battery swap cabinet. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0045] Figure 1 is an exemplary flow chart of a power supply control method for a power exchange cabinet according to some embodiments of the present application;

[0046] Figure 2 is a schematic diagram of a process for determining a power supply curve according to some embodiments of the present application;

[0047] Figure 3 is a schematic diagram of a process for determining a reference frequency according to some embodiments of the present application;

[0048] Figure 4 is a schematic diagram of exemplary hardware and / or software of a control unit according to some embodiments of the present application;

[0049] Figure 5 It is a structural schematic diagram of a computer device for implementing a power supply control method for a power exchange cabinet according to some embodiments of the present application. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0051] The embodiment of the present application provides a battery swap cabinet and a power supply control method thereof, the core of which is to obtain the power supply curve of each battery pack through the historical power supply record and distribution gain value of the battery swap cabinet and the trend extrapolation of the power change of each battery pack, and determine the effective power load of the battery swap cabinet according to all the power supply curves; predict the battery demand information of the battery swap cabinet within a predetermined time period according to the use record of the battery swap cabinet, and then determine the reference frequency of the battery swap cabinet within the predetermined time period according to the battery demand information and the distribution gain value; trend match the reference frequency and the effective power load based on the two-way matching mechanism to obtain the power supply matching degree of the battery swap cabinet within the predetermined time period, and when the power supply matching degree is lower than the preset power supply threshold, the power supply mode of each battery pack in the battery swap cabinet is adaptively adjusted. Based on the above scheme, dynamic adaptive adjustment of the power supply mode in the battery swap cabinet can be realized, thereby improving the power supply efficiency of the battery swap cabinet.

[0052] 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 supply control method for a power exchange cabinet according to some embodiments of the present application. The power supply control method for the power exchange cabinet mainly includes the following steps:

[0053] In step 101, the battery information of each battery pack in the battery swap cabinet is monitored in real time.

[0054] It should be noted that in the present application, the battery swap cabinet is a randomly selected battery swap cabinet, and each battery swap cabinet can adopt the solution in the present application to adjust the power supply mode; the battery information refers to the real-time battery parameters of each battery pack in the battery swap cabinet, and the battery information includes the battery health status, current battery charge and current battery temperature; in specific implementation, the monitoring system in the battery swap cabinet can be used to monitor the battery information of each battery pack in real time.

[0055] In step 102, the distribution gain value of the battery swap frequency in the battery swap cabinet is determined according to the battery health status in the battery information and the battery swap interval of each battery pack.

[0056] It should be noted that, in the present application, the battery replacement interval refers to the time interval from the time the battery pack is placed to the current time; in specific implementation, the battery replacement interval of each battery pack can be obtained from the monitoring system in the battery replacement cabinet.

[0057] In some embodiments, the following steps may be used to determine the distribution gain value of the battery swap frequency in the battery swap cabinet according to the battery health status in each battery information and the battery swap interval of each battery pack:

[0058] For each battery pack in the battery swap cabinet, determine the battery health status in the battery information of the battery pack and the impact value of battery swap on the charging speed;

[0059] Determine the energy consumption impact value of power supply energy consumption through the battery replacement interval of the battery pack;

[0060] Determine the frequency gain of the battery pack according to the battery swap impact value and the energy consumption impact value, and then obtain the frequency gain of each battery pack in the battery swap cabinet;

[0061] The distribution gain value of the battery swapping frequency in the battery swapping cabinet is determined based on all frequency gains.

[0062] It should be noted that in the present application, the allocation gain value is a parameter that reflects the priority of the current battery pack in the battery swap cabinet in the battery swap allocation. In actual use, the longer the battery swap interval of the battery pack and the worse the battery health status in the battery information, the higher the allocation gain value of the battery pack, and the higher the priority of the charging cabinet for charging the battery pack; the battery swap impact value indicates the influence of the battery health status on the battery swap allocation; the energy consumption impact value indicates the energy consumption required for the battery swap operation within a certain period of time; the frequency gain indicates the improvement effect of the battery health on the battery swap allocation under certain energy consumption conditions.

[0063] In the specific implementation, first, for each battery pack in the battery swap cabinet, a support vector machine can be used to build a model as a multi-layer perception model, and the charging speeds under different battery health states within a preset time period (the default is the most recent month) are collected as the training base of the multi-layer perception model. The multi-layer perception model is used to perceive and evaluate the impact of the battery health state on the charging speed, and the result of the perception evaluation can be used as the battery swap impact value of the battery health state on the charging speed; secondly, the energy consumption reduction value under the battery swap interval can be obtained from the performance description of the battery pack, and the ratio of the energy consumption reduction value to the total power of the battery pack can be used as the energy consumption impact value; then, the ratio of the battery swap impact value to the battery swap impact value can be used as the frequency gain of the battery pack, and the frequency gain of each battery pack in the battery swap cabinet can be obtained in the above manner; finally, the set of all frequency gains can be used as the value range of the distribution gain value of the battery swap frequency in the battery swap cabinet, so as to obtain the distribution gain value of the battery swap frequency in the battery swap cabinet.

[0064] In step 103, the power supply mode of the battery swap cabinet for each battery group is set according to the current battery power in the battery information, and then the trend of the electric energy change of each battery group under the corresponding power supply mode is extrapolated according to the allocation gain value and the historical power supply record of the battery swap cabinet to obtain the power supply curve of each battery group, and the effective power load of the battery swap cabinet within the predetermined time period is determined according to all the power supply curves.

[0065] In some embodiments, the power supply mode of each battery pack set by the power exchange cabinet according to the current battery power in each battery information can be implemented by the following steps:

[0066] Obtain the charging mode of the battery swap cabinet under various battery states;

[0067] For each battery pack, the current battery power in the battery information of the battery pack is matched with the battery state, thereby obtaining a charging mode of the battery pack;

[0068] The power supply mode of the battery swap cabinet to the battery pack is determined according to the charging mode, and then the power supply mode of the battery swap cabinet to each battery pack is obtained.

[0069] It should be noted that, in the present application, the power supply mode includes a constant current charging mode, a constant voltage charging mode, a trickle charging mode, a high power charging mode and a power limiting mode.

[0070] In the specific implementation, first, the charging mode under each battery state can be obtained in the main control system of the battery swap cabinet; then, for each battery pack, the current battery power in the battery information of the battery pack is matched with the battery state, and then the charging mode of the battery pack is obtained; finally, the power supply mode of the battery swap cabinet to the battery pack is set according to the charging mode of the battery pack, and then the power supply mode of the battery swap cabinet to each battery pack is obtained. For example, the constant current charging mode is to charge the battery pack with a fixed current, and the constant current charging mode is suitable for the fast charging mode; the constant voltage charging mode refers to keeping the voltage constant when the battery voltage reaches the set value and gradually reducing the current to avoid overcharging.

[0071] It should be noted that setting the power supply mode according to the current battery power of the battery pack is a key step in dynamic adjustment. The power supply mode of each battery pack should be adapted according to its power state. For example, the battery pack with lower power can get more power support first. Through this intelligent power supply mode adjustment, the battery swap cabinet can ensure that all battery packs operate in the appropriate state, maximizing their charging efficiency and service life.

[0072] In some embodiments, the distribution gain value and the historical power supply record of the battery swap cabinet are used to perform trend extrapolation on the power change of each battery pack in the corresponding power supply mode to obtain the power supply curve of each battery pack. Figure 2 The figure is a schematic diagram of a process for determining a power supply curve in some embodiments of the present application. In this embodiment, determining the power supply curve can be implemented by the following steps:

[0073] In step 1031, for each battery pack, the current battery power of the battery pack is obtained;

[0074] In step 1032, the power change trend of the battery pack in the corresponding power supply mode is predicted according to the historical power supply record of the power exchange cabinet and the current battery power, and a power prediction curve is obtained;

[0075] In step 1033, the electric energy prediction curve is converted into a power supply curve according to the allocation gain value, thereby obtaining the power supply curve of each battery group.

[0076] It should be noted that in the present application, the power supply curve is a curve showing the change of electric energy in a battery pack over time; in specific implementation, first, for each battery pack, the current battery charge of the battery pack is obtained, and the current battery charge refers to the instantaneous value of the remaining power in the battery pack, usually expressed as a percentage; then, a time series analysis model based on machine learning is initialized, and the historical power supply records of the battery swap cabinet are used as the training base of the time series analysis model, and the current battery charge is used as the initial electric energy of the time series analysis model. The time series analysis model is used to perform regression prediction on the electric energy change trend of the battery pack under the corresponding power supply mode, and the results of the regression prediction can be connected in chronological order as an electric energy prediction curve, wherein the historical power supply records can be obtained in the central control system of the battery swap cabinet; finally, for each data point in the electric energy prediction curve, the ratio of the electric energy prediction value of the data point to the allocation gain value is used as the power supply value corresponding to the data point. The power supply value corresponding to each data point in the electric energy prediction curve can be obtained in the above manner, and all power supply values ​​can be connected in chronological order as the power supply curve of the battery pack. The power supply curve of each battery pack can be obtained in the above manner.

[0077] In some embodiments, determining the effective power load of the power exchange cabinet within a predetermined time period according to all power supply curves can be achieved by using the following steps:

[0078] Extracting the power supply segment of each battery group within a predetermined time period from each power supply curve;

[0079] Determine the power supply load value of each power supply section;

[0080] Determine the effective power load of the power exchange cabinet within a predetermined time period based on all power supply load values.

[0081] It should be noted that the effective power load refers to the sum of the electric energy provided by all battery packs in the battery swap cabinet within a predetermined time period; in specific implementation, first, the power supply segments of each battery pack within the predetermined time period (the default is 4 hours after the current time) are extracted from each power supply curve; then, for each power supply segment, the extreme points in each power supply segment are counted, and the power difference between adjacent extreme points is calculated. The sum of all power difference values ​​can be used as the power supply load value of the power supply segment. The power supply load value of each power supply segment can be obtained in the above manner. Accurately calculating the power supply load value can determine the amount of electric energy provided by the battery pack in the predetermined time period, which helps to understand the power supply capacity of each battery pack and its contribution to the total load; finally, the sum of all power supply load values ​​can be used as the effective power load of the battery swap cabinet in the predetermined time period. Determining the effective power load can clarify the total effective power load of the battery swap cabinet in the predetermined time period, providing a basis for resource scheduling and power management.

[0082] In step 104, the battery demand information of the battery swap cabinet within a predetermined time period is predicted based on the pre-collected usage record of the battery swap cabinet, and then the reference frequency of battery swapping of the battery swap cabinet within the predetermined time period is determined by the battery demand information and the allocation gain value.

[0083] It should be noted that in the present application, the battery swap cabinet usage record is a record of the operation process of the battery swap cabinet within a specific time period; in the specific implementation, the historical usage record of the battery swap cabinet within a preset time period (the same as in step 101) is collected as the battery swap cabinet usage record, including the number of battery swaps, battery replacement time, charging time, battery status and other information.

[0084] In some embodiments, the following steps may be used to predict the battery demand information of the battery swap cabinet within a predetermined time period based on the pre-collected battery swap cabinet usage records:

[0085] Extract features from the pre-collected usage records of the power exchange cabinet to obtain various demand features;

[0086] Determine the battery demand information of the battery swap cabinet within the predetermined time period based on all demand characteristics.

[0087] In the specific implementation, first, the existing feature extraction algorithm can be used to extract features from the pre-collected battery swap cabinet usage records, including the frequency of point change, battery charging time, peak usage in different time periods, and battery types required by users, and the results of the feature extraction are used as demand features; then, the set of all demand features can be used as the battery demand information of the battery swap cabinet within a predetermined time period.

[0088] It should be noted that by determining the battery demand information, the demand for battery usage and replacement within a predetermined time period can be obtained, including the quantity and charging status, thereby effectively predicting the battery demand information of the battery swap cabinet within a predetermined time period. Combined with historical data analysis and feature extraction, it provides a scientific basis for the scheduling and management of battery resources, thereby improving the operational efficiency of the battery swap cabinet and user satisfaction.

[0089] In some embodiments, the base frequency of battery swapping of the battery swap cabinet within a predetermined time period is determined by the battery demand information and the allocation gain value, referring to Figure 3 As described above, the figure is a schematic diagram of a process for determining a reference frequency in some embodiments of the present application. In this embodiment, determining the reference frequency can be implemented by the following steps:

[0090] In step 1041, the battery swap quantity of the battery swap cabinet within a predetermined time period is predicted according to the battery demand information to obtain a battery swap quantity prediction curve;

[0091] In step 1042, the power exchange amount prediction curve is converted into a power exchange amount curve by using the distribution gain value;

[0092] In step 1043, the base frequency of battery replacement of the battery replacement cabinet within a predetermined time period is determined according to the battery replacement amount curve.

[0093] It should be noted that in the present application, the reference frequency reflects the dynamic trend of the battery swapping demand of the battery swapping cabinet within a predetermined time period; the battery swapping quantity prediction curve represents the trend curve of the predicted number of battery swaps changing over time within a predetermined time period; and the battery swapping quantity curve represents the trend graph of the adjusted battery swapping quantity changes.

[0094] In the specific implementation, first, initialize a time series model based on machine learning, take each demand feature in the battery demand information as the prediction parameter of the time series model, use the time series model to predict the battery swap frequency demand of the battery swap cabinet within the predetermined time period, and the prediction results can be connected in chronological order as the battery swap amount prediction curve of the battery swap cabinet within the predetermined time period. In other embodiments, other prediction models can also be used for prediction, which is not limited here; then, for each battery swap amount data point in the battery swap amount prediction curve, the product of the battery swap frequency prediction value in the battery swap amount data point and the allocation gain value can be used as the battery swap frequency value corresponding to the battery swap amount data point. The battery swap frequency value corresponding to each battery swap amount data point in the battery swap amount prediction curve can be obtained in the above manner, and all the battery swap frequency values ​​can be connected in chronological order as the battery swap amount curve; finally, the battery swap frequency values ​​of each maximum point in the battery swap amount curve are counted, and the set of all counted battery swap frequency values ​​can be used as the reference frequency for battery swapping of the battery swap cabinet within the predetermined time period.

[0095] It should be noted that by determining the reference frequency, the battery swapping trend of the battery swap cabinet within a predetermined time period can be systematically determined. Combined with battery demand prediction and allocation gain value evaluation, it can provide important support for resource management and operational decisions of the battery swap cabinet, thereby improving battery swapping efficiency.

[0096] In step 105, the reference frequency and the effective power load are trend matched based on a two-way matching mechanism to obtain a power supply matching degree of the battery swap cabinet within a predetermined time period. When the power supply matching degree is lower than a preset power supply threshold, the power supply mode of each battery pack in the battery swap cabinet is adaptively adjusted.

[0097] In some embodiments, the reference frequency and the effective power load are trend matched based on a two-way matching mechanism to obtain the power supply matching degree of the power exchange cabinet within a predetermined time period, which can be achieved by the following steps:

[0098] determining a difference between the reference frequency and the effective electrical load;

[0099] determining a correlation between the reference frequency and the effective electrical load;

[0100] The difference and the correlation are used as matching parameters in a two-way matching mechanism, and the power supply matching degree of the power swap cabinet within a predetermined time period is determined based on the two-way matching mechanism.

[0101] It should be noted that in this application, power supply matching refers to the degree of matching between power supply capacity and battery replacement demand; difference refers to the degree of difference between power supply capacity and battery replacement demand; correlation refers to the degree of correlation between power supply capacity and battery replacement demand.

[0102] In specific implementation, first, the sum of the squares of the absolute values ​​of the differences between each battery swapping frequency value in the reference frequency and the effective power load can be used as the difference between the reference frequency and the effective power load; then, the square root of the ratio of the effective power load to each battery swapping frequency value in the reference frequency can be used as the correlation between the reference frequency and the effective power load; finally, the difference and the correlation are used as matching parameters in the two-way matching mechanism, and the supply and demand matching between the power supply capacity and the battery swapping demand is completed based on the two-way matching mechanism, and the result of the supply and demand matching can be used as the power supply matching degree of the battery swap cabinet within a predetermined time period.

[0103] It should be noted that by determining the power supply matching degree, the difference between the reference frequency and the effective power load can be effectively determined based on the two-way matching mechanism, which provides a scientific basis for the operational optimization of the battery swap cabinet, ensuring that the strategy can be adjusted in time when the power supply is insufficient or the demand increases, thereby improving the battery swap efficiency.

[0104] In some embodiments, when the power supply matching degree is lower than a preset power supply threshold, the power supply mode of each battery pack in the power swap cabinet is adaptively adjusted. In specific implementation, when the power supply matching degree is lower than the preset power supply threshold, the dynamic adjustment strategy in the power swap cabinet can be used to adjust the power supply mode of each battery pack in the power swap cabinet until the power supply matching degree is greater than or equal to the preset power supply threshold. The power supply threshold refers to the lower limit value of the matching degree that can be satisfied to avoid insufficient power supply and waste. The power supply threshold can be obtained in the central control system of the power swap cabinet.

[0105] In the present application, the reference frequency and the effective power load are trend matched based on a two-way matching mechanism to obtain the power supply matching degree of the battery swap cabinet within a predetermined time period. When the power supply matching degree is lower than the preset power supply threshold, the power supply mode of each battery pack in the battery swap cabinet is adaptively adjusted; firstly, the effective power load is determined to obtain the total power provided by all battery packs of the battery swap cabinet within the predetermined time period, wherein the generation of the corresponding power supply curve of each battery pack within the predetermined time period facilitates the subsequent acquisition of a more accurate effective power load of the battery swap cabinet within the predetermined time period, so that the power supply strategy can ensure higher power supply efficiency; secondly, the effective power load is determined The benchmark frequency can be used to obtain the dynamic trend of the battery swapping demand of the battery swap cabinet within the predetermined time period. Predicting the battery demand information based on the pre-collected battery swap cabinet usage records can effectively improve the adaptability of the power supply mode, thereby effectively identifying peak hours and demand patterns, and more accurately predicting future battery demand. Combined with the information of the allocated gain value, the battery swap cabinet can more effectively adjust the power supply mode, thereby facilitating a more accurate matching of the power supply capacity and the battery swapping demand in the future to improve the power supply efficiency of the battery swap cabinet. In summary, based on the above scheme, dynamic adaptive adjustment of the power supply mode in the battery swap cabinet can be achieved, thereby improving the power supply efficiency of the battery swap cabinet.

[0106] In addition, in another aspect of the present application, in some embodiments, the present application provides a power exchange cabinet, which also includes a control unit, referring to Figure 4 , which is a schematic diagram of exemplary hardware and / or software of a control unit according to some embodiments of the present application, the control unit includes: a monitoring module 201, a processing module 202 and an execution module 203, which are described as follows:

[0107] Monitoring module 201, in this application, the monitoring module 201 is mainly used to monitor the battery information of each battery pack in the battery swap cabinet in real time;

[0108] Processing module 202, in this application, the processing module 202 is used to determine the distribution gain value of the battery replacement frequency in the battery replacement cabinet according to the battery health status in each battery information and the battery replacement interval of each battery group;

[0109] It should be noted that the processing module 202 is also used to set the power supply mode of the battery swap cabinet to each battery group according to the current battery power in each battery information, and then perform trend extrapolation on the power change of each battery group under the corresponding power supply mode according to the distribution gain value and the historical power supply record of the battery swap cabinet to obtain the power supply curve of each battery group, and determine the effective power load of the battery swap cabinet within a predetermined time period according to all the power supply curves;

[0110] In addition, the processing module 202 is also used to predict the battery demand information of the battery swap cabinet within a predetermined time period based on the pre-collected battery swap cabinet usage record, and then determine the reference frequency of battery swapping of the battery swap cabinet within the predetermined time period based on the battery demand information and the allocation gain value;

[0111] Execution module 203. In the present application, execution module 203 is mainly used to perform trend matching between the reference frequency and the effective power load based on a two-way matching mechanism to obtain the power supply matching degree of the battery swap cabinet within a predetermined time period. When the power supply matching degree is lower than a preset power supply threshold, the power supply mode of each battery pack in the battery swap cabinet is adaptively adjusted.

[0112] The above describes in detail the examples of the battery exchange cabinet and the power supply control method thereof provided in the embodiments 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 the execution of each function. 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 herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. 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 exceed the scope of this application.

[0113] In some embodiments, the present application also provides a computer device, which includes a memory and a processor, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned power supply control method of the power exchange cabinet.

[0114] In some embodiments, reference Figure 5 , the dotted line in the figure indicates that the unit or the module is optional, and the figure is a structural diagram of a computer device for implementing a power supply control method for a power exchange cabinet according to an embodiment of the present application. The power supply control method for the power exchange cabinet described in the above embodiment can be Figure 5 The computer device shown in the figure is implemented, and the computer device includes at least one processor 301, a memory 302 and at least one communication unit 305. The computer device can be a terminal device, a server or a chip.

[0115] The processor 301 may be a general-purpose processor or a special-purpose processor. For example, the processor 301 may be a central processing unit (CPU), which may be used to control the computer device, execute software programs, and process data of the software programs. The computer device may also include a communication unit 305 to implement signal input (reception) and output (transmission).

[0116] For example, the computer device may be a chip, the communication unit 305 may be an input and / or output circuit of the chip, or the communication unit 305 may be a communication interface of the chip, and the chip may be a component of a terminal device, a network device, or other devices.

[0117] For another example, the computer device may be a terminal device or a server, and the communication unit 305 may be a transceiver of the terminal device or the server, or the communication unit 305 may be a transceiver circuit of the terminal device or the server.

[0118] The computer device may include one or more memories 302, on which a program 304 is stored. The program 304 can be executed by the processor 301 to generate instructions 303, so that the processor 301 performs the method described in the above method embodiment according to the instructions 303. Optionally, data (such as a target audit model) can also be stored in the memory 302. Optionally, the processor 301 can also read the data stored in the memory 302, and the data can be stored at the same storage address as the program 304, or the data can be stored at a different storage address from the program 304.

[0119] The processor 301 and the memory 302 may be provided separately or integrated together, for example, integrated on a system on chip (SOC) of the terminal device.

[0120] It should be understood that each step of the above method embodiment can be completed by a hardware-based logic circuit or software-based instructions in the processor 301. The processor 301 can be a CPU, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, such as discrete gates, transistor logic devices, or discrete hardware components.

[0121] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0122] For example, in some embodiments, the present application also provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes are run on a computer, the computer implements the above-mentioned power supply control method for the power exchange cabinet when executing.

[0123] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0124] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A power supply control method for a power exchange cabinet, characterized in that: The steps include: Real-time monitoring of battery information of each battery pack in the battery swap cabinet; Determine the distribution gain value of the battery swap frequency in the battery swap cabinet according to the battery health status in each battery information and the battery swap interval of each battery group; The power supply mode of the battery swap cabinet for each battery group is set by the current battery power in each battery information, and then the trend of the power change of each battery group under the corresponding power supply mode is extrapolated by the distribution gain value and the historical power supply record of the battery swap cabinet to obtain the power supply curve of each battery group, and the effective power load of the battery swap cabinet within a predetermined time period is determined according to all the power supply curves; Predicting the battery demand information of the battery swap cabinet within a predetermined time period based on the pre-collected usage record of the battery swap cabinet, and then determining the reference frequency of battery swapping of the battery swap cabinet within the predetermined time period based on the battery demand information and the allocation gain value; Based on the two-way matching mechanism, the reference frequency and the effective power load are trend matched to obtain the power supply matching degree of the power swap cabinet within a predetermined time period. When the power supply matching degree is lower than the preset power supply threshold, the power supply mode of each battery pack in the power swap cabinet is adaptively adjusted; Among them, the allocation gain value of the battery swap frequency in the battery swap cabinet is determined according to the battery health status in each battery information and the battery swap interval of each battery group, specifically including: For each battery pack in the battery swap cabinet, determine the battery health status in the battery information of the battery pack and the impact value of battery swap on the charging speed; Determine the energy consumption impact value of power supply energy consumption through the battery replacement interval of the battery pack; Determine the frequency gain of the battery pack according to the battery swap impact value and the energy consumption impact value, and then obtain the frequency gain of each battery pack in the battery swap cabinet; The distribution gain value of the battery swapping frequency in the battery swapping cabinet is determined based on all frequency gains.

2. The method according to claim 1, characterized in that The power supply mode of each battery pack set by the power exchange cabinet according to the current battery power in each battery information includes: Obtain the charging mode of the battery swap cabinet under various battery states; For each battery pack, the current battery power in the battery information of the battery pack is matched with the battery state, thereby obtaining a charging mode of the battery pack; The power supply mode of the battery swap cabinet to the battery pack is determined according to the charging mode, and then the power supply mode of the battery swap cabinet to each battery pack is obtained.

3. The method according to claim 1, characterized in that The power supply curve of each battery pack is obtained by performing trend extrapolation on the power change of each battery pack in the corresponding power supply mode based on the distribution gain value and the historical power supply record of the power exchange cabinet, and specifically includes: For each battery pack, obtain the current battery capacity of the battery pack; According to the historical power supply records of the power exchange cabinet and the current battery power, the power change trend of the battery pack in the corresponding power supply mode is predicted to obtain the power prediction curve; The electric energy prediction curve is converted into a power supply curve according to the allocation gain value, thereby obtaining a power supply curve for each battery pack.

4. The method according to claim 1, characterized in that According to all power supply curves, the effective power load of the power exchange cabinet within the predetermined time period is determined to include: Extracting the power supply segment of each battery group within a predetermined time period from each power supply curve; Determine the power supply load value of each power supply section; Determine the effective power load of the power exchange cabinet within a predetermined time period based on all power supply load values.

5. The method according to claim 1, characterized in that Determining the reference frequency of battery replacement of the battery swap cabinet within a predetermined time period based on the battery demand information and the allocation gain value specifically includes: Predicting the number of battery swaps of the battery swap cabinet within a predetermined time period according to the battery demand information to obtain a battery swap prediction curve; Converting the power exchange amount prediction curve into a power exchange amount curve by using the distribution gain value; The base frequency of battery replacement of the battery replacement cabinet within a predetermined time period is determined according to the battery replacement amount curve.

6. The method according to claim 1, characterized in that The power supply modes include a constant current charging mode, a constant voltage charging mode, a trickle charging mode, a high power charging mode and a power limiting mode.

7. A power exchange cabinet, which uses the method according to any one of claims 1 to 6 to control power supply, and the power exchange cabinet includes a control unit, characterized in that: The control unit comprises: Monitoring module, used to monitor the battery information of each battery pack in the battery swap cabinet in real time; A processing module, used to determine the distribution gain value of the battery replacement frequency in the battery replacement cabinet according to the battery health status in the battery information and the battery replacement interval of each battery group; The processing module is also used to set the power supply mode of the battery swap cabinet to each battery group according to the current battery power in each battery information, and then perform trend extrapolation on the power change of each battery group under the corresponding power supply mode according to the distribution gain value and the historical power supply record of the battery swap cabinet to obtain the power supply curve of each battery group, and determine the effective power load of the battery swap cabinet within a predetermined time period according to all the power supply curves; The processing module is also used to predict the battery demand information of the battery swap cabinet within a predetermined time period based on the pre-collected battery swap cabinet usage record, and then determine the reference frequency of battery swapping of the battery swap cabinet within the predetermined time period based on the battery demand information and the allocation gain value; An execution module is used to perform trend matching between the reference frequency and the effective power load based on a two-way matching mechanism to obtain a power supply matching degree of the battery swap cabinet within a predetermined time period. When the power supply matching degree is lower than a preset power supply threshold, the power supply mode of each battery pack in the battery swap cabinet is adaptively adjusted.

8. A computer device, characterized in that: The computer device includes a memory and a processor, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the power supply control method of the power exchange cabinet described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions or codes. When the instructions or codes are executed on a computer, the computer implements the power supply control method for the power exchange cabinet as described in any one of claims 1 to 6.

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