Battery number configuration method and device, storage medium and battery replacement equipment

Abstract

The invention discloses a battery number configuration method and device, a storage medium and a battery swap device.The battery number configuration method is applied to a battery swap station and comprises the steps that a historical operation data set of the battery swap station is obtained; dividing the historical operation data set into historical operation data subsets corresponding to a plurality of time periods; according to the historical operation data subset corresponding to the current time period, determining the maximum value of the operation load rate of the battery swap station in the current time period; obtaining the number of battery bins of the battery swap station and the number of current batteries capable of being taken out of the bins; and determining the battery configuration quantity in the current time period according to the maximum value of the operation load rate in the current time period, the battery bin quantity and the current quantity of the batteries capable of being taken out of the bin. Therefore, accurate prediction and automatic scheduling of battery management can be realized, scientificity and operation efficiency of battery configuration are remarkably improved, operation cost is remarkably reduced, and stable transition and efficient utilization of battery resources are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of battery quantity configuration of a battery swap station, and in particular to a battery quantity configuration method, a computer-readable storage medium, a battery quantity configuration device and a battery swap device. Background Art

[0002] In the operation of electric vehicle charging and battery swap stations, battery management and scheduling constitute a core technical challenge. With the booming electric vehicle market, the number of battery swap stations continues to rise. How to scientifically and rationally configure and schedule batteries in the station to ensure a dynamic balance between battery swap demand and battery supply has become a key factor affecting operational efficiency and user experience.

[0003] The battery configuration and scheduling of most battery swap stations mainly rely on manual experience. Managers manually adjust the number and distribution of batteries based on their intuitive understanding of the business and long-term work experience. Although this traditional method can maintain the basic operation of battery swap stations in the short term, its significant defect is the lack of systematic and intelligent data analysis support. Therefore, the battery configuration often presents an unstable state, and it is difficult to flexibly adjust according to real-time battery swap needs and operating loads, which not only leads to a serious waste of resources, but also increases the risk and uncertainty of operations.

[0004] In related technologies, a dynamic scheduling system based on machine learning is adopted to achieve more accurate prediction and scheduling by collecting and analyzing large amounts of real-time data. However, the implementation of related solutions is often accompanied by high cost investment, including complex hardware support systems and high-precision data collection and analysis systems, which undoubtedly increases the operational burden of battery swap stations. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems in the related art to a certain extent. To this end, the first purpose of the present invention is to propose a method for configuring the number of batteries, which can achieve accurate prediction and automatic scheduling of battery management, significantly improve the scientificity and operational efficiency of battery configuration, significantly reduce operating costs, and ensure smooth transition and efficient utilization of battery resources.

[0006] A second object of the present invention is to provide a computer-readable storage medium.

[0007] The third object of the present invention is to provide a device for configuring the number of batteries.

[0008] The fourth objective of the present invention is to provide a battery replacement device.

[0009] In order to achieve the above-mentioned objectives, an embodiment of the first aspect of the present invention proposes a method for configuring the number of batteries, which is applied to a battery swap station, and the method includes: obtaining a historical operation data set of the battery swap station; dividing the historical operation data set into historical operation data subsets corresponding to multiple time periods; determining the maximum operation load rate of the battery swap station in the current time period based on the historical operation data subset corresponding to the current time period; obtaining the number of battery slots and the current number of batteries that can be shipped out of the slots of the battery swap station; determining the number of batteries to be configured in the current time period based on the maximum operation load rate of the current time period, the number of battery slots and the current number of batteries that can be shipped out of the slots.

[0010] According to the method for configuring the number of batteries in an embodiment of the present invention, by obtaining the historical operation data set of the battery swap station, and dividing the historical operation data set into historical operation data subsets corresponding to multiple time periods, the maximum operation load rate of the battery swap station in the current time period is determined according to the historical operation data subset corresponding to the current time period, the number of battery slots of the battery swap station and the number of batteries that can currently be shipped out of the slot are obtained, and the number of batteries configured in the current time period is determined according to the maximum operation load rate, the number of battery slots and the number of batteries that can currently be shipped out of the slot. In this way, accurate prediction and automatic scheduling of battery management can be achieved, and the scientific nature and operational efficiency of battery configuration are significantly improved, as well as the operating costs are significantly reduced, and the smooth transition and efficient use of battery resources are ensured.

[0011] In addition, the method for configuring the number of batteries according to the above embodiment of the present invention may also include the following additional technical features:

[0012] According to one embodiment of the present invention, the historical operation data subset includes the historical number of battery replacement orders and the historical number of batteries that can be shipped out of the battery replacement station.

[0013] According to one embodiment of the present invention, the maximum operating load rate of the battery swap station in the current time period is determined based on a subset of historical operating data corresponding to the current time period, including: determining a set of operating load rates corresponding to the current time period based on the number of historical battery swap orders and the historical number of batteries that can be shipped out of the warehouse; calculating the mean and standard deviation of the operating load rate set; and determining the maximum operating load rate of the battery swap station in the current time period based on the mean and the standard deviation.

[0014] According to one embodiment of the present invention, after obtaining the historical operation data set of the battery swap station, it includes: cleaning the historical operation data set to filter out invalid historical battery swap orders and data corresponding to historical batteries that can be shipped out with an SOC less than a preset SOC threshold.

[0015] According to one embodiment of the present invention, the battery configuration quantity for the current time period is determined based on the maximum operating load rate of the current time period, the number of battery slots and the current number of batteries that can be shipped out of the warehouse, including: determining the recommended battery quantity for the current time period based on the maximum operating load rate of the current time period, the number of battery slots and the current number of batteries that can be shipped out of the warehouse; calculating a first difference between the recommended battery quantity and the current number of batteries that can be shipped out of the warehouse; determining the battery configuration quantity for the current time period based on the recommended battery quantity, the current number of batteries that can be shipped out of the warehouse and the first difference.

[0016] According to one embodiment of the present invention, the recommended number of batteries for the current time period is determined based on the maximum operating load rate of the current time period, the number of battery storage locations and the current number of batteries that can be shipped out of the storage, including: calculating the recommended number of batteries to be corrected for the current time period based on the maximum operating load rate of the current time period and the current number of batteries that can be shipped out of the storage; and correcting the recommended number of batteries to be corrected based on the number of battery storage locations to obtain the recommended number of batteries.

[0017] According to one embodiment of the present invention, the recommended number of batteries to be corrected is corrected according to the number of battery slots, including: if the recommended number of batteries to be corrected is greater than or equal to the number of battery slots, assigning a value to the recommended number of batteries according to the number of battery slots; if the recommended number of batteries to be corrected is less than the number of battery slots, assigning a value to the recommended number of batteries according to the recommended number of batteries to be corrected.

[0018] According to one embodiment of the present invention, the battery configuration quantity for the current time period is determined based on the recommended battery quantity, the current number of batteries that can be shipped out of the warehouse and the first difference, including: if the recommended battery quantity is greater than or equal to the current number of batteries that can be shipped out of the warehouse, the battery configuration quantity for the current time period is assigned according to the recommended battery quantity; if the recommended battery quantity is less than the current number of batteries that can be shipped out of the warehouse, the current number of batteries that can be shipped out of the warehouse and the first difference are judged; if the current number of batteries that can be shipped out of the warehouse with a preset multiple is greater than or equal to the first difference, the battery configuration quantity for the current time period is assigned according to the recommended battery quantity, wherein the preset multiple is a positive number less than one; if the current number of batteries that can be shipped out of the warehouse with the preset multiple is less than the first difference, the battery configuration quantity for the current time period is calculated according to a preset model.

[0019] According to one embodiment of the present invention, the preset model is:

[0020] Y=ceil(a*s_n+b*now_b)

[0021] Among them, Y represents the number of batteries configured in the current time period, s_n represents the recommended number of batteries, now_b represents the current number of batteries that can be shipped out of the warehouse, a and b represent model parameters respectively, and the size of the model parameters is related to the size of the current number of batteries that can be shipped out of the warehouse.

[0022] In order to achieve the above-mentioned purpose, the second aspect of the embodiment of the present invention proposes a computer-readable storage medium, on which a battery quantity configuration program is stored, and when the battery quantity configuration program is executed by a processor, the battery quantity configuration method of the aforementioned embodiment of the present invention is implemented.

[0023] According to the computer-readable storage medium of an embodiment of the present invention, by executing the battery quantity configuration program through the processor, accurate prediction and automatic scheduling of battery management can be achieved, and the scientific nature and operational efficiency of battery configuration can be significantly improved, as well as the operating cost can be significantly reduced, and the smooth transition and efficient utilization of battery resources can be ensured.

[0024] In order to achieve the above-mentioned purpose, an embodiment of the third aspect of the present invention proposes a battery quantity configuration device, which is applied to a battery swap station, and the device includes: a first acquisition module, used to obtain a historical operation data set of the battery swap station; a processing module, used to divide the historical operation data set into historical operation data subsets corresponding to multiple time periods; a first determination module, used to determine the maximum operation load rate of the battery swap station in the current time period according to the historical operation data subset corresponding to the current time period; a second acquisition module, used to obtain the number of battery slots and the current number of batteries that can be shipped out of the slots of the battery swap station; a second determination module, used to determine the battery configuration number of the current time period according to the maximum operation load rate of the current time period, the number of battery slots and the current number of batteries that can be shipped out of the slots.

[0025] According to the battery quantity configuration device of the embodiment of the present invention, the historical operation data set of the battery swap station is obtained through the first acquisition module, and the historical operation data set is divided into historical operation data subsets corresponding to multiple time periods through the processing module, and then the maximum operation load rate of the battery swap station in the current time period is determined according to the historical operation data subset corresponding to the current time period through the first determination module, and the number of battery slots and the current number of batteries that can be taken out of the slot are obtained through the second acquisition module, so as to determine the battery configuration number of the current time period according to the maximum operation load rate, the number of battery slots and the current number of batteries that can be taken out of the slot in the current time period through the second determination module. In this way, accurate prediction and automatic scheduling of battery management can be achieved, and the scientific nature and operation efficiency of battery configuration are significantly improved, as well as the operation cost is significantly reduced, and the smooth transition and efficient use of battery resources are ensured.

[0026] In order to achieve the above-mentioned purpose, a fourth aspect of the present invention proposes a battery replacement device, including a battery quantity configuration device of the aforementioned embodiment of the present invention.

[0027] According to the vehicle of the embodiment of the present invention, by adopting the battery quantity configuration device of the above-mentioned embodiment of the present invention, accurate prediction and automatic scheduling of battery management can be achieved, and the scientific nature and operational efficiency of battery configuration can be significantly improved, as well as the operating cost can be significantly reduced, and the smooth transition and efficient utilization of battery resources can be ensured.

[0028] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 is a schematic flow chart of a method for configuring the number of batteries according to an embodiment of the present invention;

[0030] Figure 2 is a flow chart of a method for configuring the number of batteries according to another embodiment of the present invention;

[0031] Figure 3 is a flow chart of a method for configuring the number of batteries according to another embodiment of the present invention;

[0032] Figure 4 is a flowchart of a method for configuring the number of batteries according to another embodiment of the present invention;

[0033] Figure 5 is a flow chart of a method for configuring the number of batteries according to a specific embodiment of the present invention;

[0034] Figure 6 is a block diagram of a device for configuring the number of batteries according to an embodiment of the present invention;

[0035] Figure 7 is a block diagram of a battery replacement device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0036] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0037] The following describes a method for configuring the number of batteries, a computer-readable storage medium, a device for configuring the number of batteries, and a battery replacement device in accordance with an embodiment of the present invention with reference to the accompanying drawings.

[0038] Figure 1 4 is a flow chart of a method for configuring the number of batteries according to an embodiment of the present invention.

[0039] Specifically, in some embodiments of the present invention, the method for configuring the number of batteries is applied to a battery swap station, such as Figure 1 As shown, the configuration methods of the number of batteries include:

[0040] S101, obtaining a historical operation data set of a battery swap station.

[0041] Specifically, in this embodiment, the historical operation data set of the power station can be obtained from the storage system of the power station. For example, the historical operation data within three months can be obtained. In addition, the present invention may not specifically limit the method of obtaining the historical operation data.

[0042] S102, dividing the historical operation data set into historical operation data subsets corresponding to multiple time periods.

[0043] Specifically, in this embodiment, the historical operation data set can be divided into historical operation data subsets corresponding to multiple time periods. For example, the historical operation data set can be divided into historical operation data subsets corresponding to 48 time periods per day at a frequency of every 30 minutes per day. Here, the present invention may not specifically limit the specific method of division. The historical operation data subset includes the number of historical battery swap orders and the number of historical batteries that can be shipped out of the battery swap station.

[0044] S103, determining the maximum operating load rate of the battery swap station in the current period according to the historical operating data subset corresponding to the current period.

[0045] Specifically, in this embodiment, the historical operating data subset includes the historical number of battery swap orders and the historical number of batteries that can be shipped out of the warehouse at the battery swap station. The operating load rate set corresponding to the current time period is determined based on the historical number of battery swap orders and the historical number of batteries that can be shipped out of the warehouse, and the mean and standard deviation of the operating load rate set are calculated. The maximum operating load rate of the battery swap station in the current time period is determined based on the mean and standard deviation.

[0046] S104, obtaining the number of battery slots in the battery swap station and the number of batteries that can currently be shipped out of the slots.

[0047] Specifically, in this embodiment, the number of battery slots in the battery swap station and the number of batteries that can currently be shipped out can be obtained by querying the system database. In addition, the present invention may not specifically limit the method of obtaining the number of battery slots in the battery swap station and the number of batteries that can currently be shipped out.

[0048] S105, determining the number of batteries to be configured in the current period according to the maximum operating load rate in the current period, the number of battery storage spaces, and the number of batteries that can currently be shipped out of the storage.

[0049] Specifically, in this embodiment, the recommended number of batteries to be corrected for the current time period is calculated based on the maximum operating load rate of the current time period and the current number of batteries that can be shipped out of the warehouse, the recommended number of batteries to be corrected is corrected based on the number of battery positions to obtain the recommended number of batteries, and the first difference between the recommended number of batteries and the current number of batteries that can be shipped out of the warehouse is calculated. If the recommended number of batteries is greater than or equal to the current number of batteries that can be shipped out of the warehouse, the battery configuration number for the current time period is assigned according to the recommended number of batteries; if the recommended number of batteries is less than the current number of batteries that can be shipped out of the warehouse, the current number of batteries that can be shipped out of the warehouse and the first difference are judged, if the current number of batteries that can be shipped out of the warehouse with a preset multiple is greater than or equal to the first difference, the battery configuration number for the current time period is assigned according to the recommended number of batteries, wherein the preset multiple is a positive number less than one, and if the current number of batteries that can be shipped out of the warehouse with the preset multiple is less than the first difference, the battery configuration number for the current time period is calculated according to the preset model.

[0050] Further, in some embodiments of the present invention, Figure 2 As shown, the maximum operating load rate of the battery swap station in the current period is determined according to the historical operating data subset corresponding to the current period, including:

[0051] S201, determine the operating load rate set corresponding to the current time period based on the historical number of battery replacement orders and the historical number of batteries that can be shipped out of the warehouse.

[0052] Specifically, in this embodiment, the historical operation data set can be divided into historical operation data subsets corresponding to multiple time periods, and the historical operation data subsets include the historical number of battery replacement orders and the historical number of batteries that can be shipped out of the warehouse at the battery replacement station. For example, the historical operation data set is divided according to the time dimension, such as a frequency of every 30 minutes every day, so that each day can be divided into 48 time periods. For each time period, a corresponding historical operation data subset is constructed, which includes the historical number of battery replacement orders and the historical number of batteries that can be shipped out of the warehouse at the battery replacement station within the time period. If the current time period is the first time period of each day, the operation load rate set corresponding to the current time period can be determined based on the historical number of battery replacement orders and the historical number of batteries that can be shipped out of the warehouse in the first time period of each day. It should be noted that the operation load rate corresponding to the current time period = (the historical number of battery replacement orders in the current time period / the historical number of batteries that can be shipped out of the warehouse in the current time period) × 100%. If 100 days of data are obtained, 100 operation compliance rates can be calculated, and these operation load rates constitute the operation load rate set corresponding to the current time period.

[0053] S202, calculating the average value and standard deviation of the operating load rate set.

[0054] Specifically, in this embodiment, after determining the operating load rate set corresponding to the current time period based on the historical number of battery replacement orders and the historical number of batteries that can be shipped out of the warehouse, the mean and standard deviation of the operating load rate set can be calculated by the following formula.

[0055]

[0056] Where, μ represents the average value of all operating load rates in the operating load rate set, n represents the number of operating load rates in the operating load rate set, and x i Represents each operating load factor in the operating load factor set.

[0057]

[0058] Where σ represents the standard deviation, n represents the number of operating load factors in the operating load factor set, and x i represents each operating load rate in the operating load rate set, and μ represents the average value of all operating load rates in the operating load rate set.

[0059] S203, determining the maximum operating load rate of the battery swap station in the current period according to the average value and the standard deviation.

[0060] Specifically, in this embodiment, after calculating the average value and standard deviation of the operating load rate set, the maximum operating load rate of the battery swap station in the current period can be determined by the following formula:

[0061] η max =μ+3*σ;

[0062] Among them, η max represents the maximum operating load factor, μ represents the average value of all operating load factors in the operating load factor set, and σ represents the standard deviation.

[0063] Furthermore, in some embodiments of the present invention, after obtaining the historical operation data set of the battery swap station, it includes: cleaning the historical operation data set to filter out invalid historical battery swap orders and data corresponding to historical batteries that can be shipped out with an SOC less than a preset SOC threshold.

[0064] Specifically, in this embodiment, invalid orders include duplicate orders, canceled orders, and abnormal orders caused by system failures or other reasons. These invalid orders are identified and eliminated through algorithm and rule matching to ensure that the data set contains only real and valid battery replacement orders. The preset SOC threshold can be preferably set to 90%, and all historical battery data with SOC below 90% that can be shipped out of the warehouse are determined as unqualified data and removed to ensure that the data set contains only battery data with sufficient power to meet the battery replacement needs. In addition, the present invention may not specifically limit the method for filtering out invalid historical battery replacement orders and data corresponding to historical batteries that can be shipped out of the warehouse with SOC less than the preset SOC threshold and the value of the SOC threshold.

[0065] Further, in some embodiments of the present invention, Figure 3 As shown, the number of batteries to be configured in the current period is determined based on the maximum operating load rate in the current period, the number of battery storage spaces, and the number of batteries that can be shipped out of the storage, including:

[0066] S301, determining the recommended number of batteries for the current period according to the maximum operating load rate of the current period, the number of battery storage spaces, and the number of batteries that can currently be shipped out of the storage.

[0067] Specifically, in this embodiment, the product of the maximum operating load rate in the current time period and the current number of batteries that can be shipped out of the warehouse is calculated. If the product of the two is less than the number of battery slots, the recommended number of batteries is assigned according to the product; if the product of the two is greater than or equal to the number of battery slots, the recommended number of batteries is assigned according to the number of battery slots.

[0068] S302, calculating a first difference between the recommended battery quantity and the current number of batteries that can be shipped out of the warehouse.

[0069] Specifically, in this embodiment, the first difference value can be obtained by subtracting the current number of batteries that can be shipped out of the warehouse from the recommended number of batteries.

[0070] S303: Determine the number of batteries to be configured for the current time period according to the recommended number of batteries, the current number of batteries that can be shipped out of the warehouse, and the first difference.

[0071] Specifically, in this embodiment, if the recommended battery quantity is greater than or equal to the current number of batteries that can be shipped out, the battery configuration quantity for the current time period is assigned according to the recommended battery quantity; if the recommended battery quantity is less than the current number of batteries that can be shipped out, the current number of batteries that can be shipped out and the first difference are judged; if the current number of batteries that can be shipped out of the warehouse at a preset multiple is greater than or equal to the first difference, the battery configuration quantity for the current time period is assigned according to the recommended battery quantity, wherein the preset multiple is a positive number less than one, and the preset multiple can be preferably 0.2 times. If the current number of batteries that can be shipped out of the warehouse at the preset multiple is less than the first difference, the battery configuration quantity for the current time period is calculated according to the preset model.

[0072] Further, in some embodiments of the present invention, Figure 4 As shown, the recommended number of batteries for the current period is determined based on the maximum operating load rate of the current period, the number of battery storage spaces, and the number of batteries that can be shipped out of the storage, including:

[0073] S401, calculating the recommended number of batteries to be corrected in the current period according to the maximum operating load rate in the current period and the current number of batteries that can be shipped out of the warehouse.

[0074] Specifically, in this embodiment, the recommended number of batteries to be corrected is equal to the product of the maximum operating load rate in the current period and the current number of batteries that can be shipped out of the warehouse.

[0075] S402, correcting the recommended number of batteries to be corrected according to the number of battery positions to obtain a recommended number of batteries.

[0076] Specifically, in this embodiment, if the recommended number of batteries to be corrected is greater than or equal to the number of battery slots, the recommended number of batteries is assigned according to the number of battery slots; if the recommended number of batteries to be corrected is less than the number of battery slots, the recommended number of batteries is assigned according to the recommended number of batteries to be corrected.

[0077] Furthermore, in some embodiments of the present invention, the preset model of the battery quantity configuration method is:

[0078] Y=ceil(a*s_n+b*now_b)

[0079] Wherein, Y represents the number of batteries configured in the current period, s_n represents the recommended number of batteries, now_b represents the number of batteries that can be shipped out of the warehouse at present, a and b represent model parameters respectively, the size of the model parameters is related to the size of the number of batteries that can be shipped out of the warehouse at present, and ceil() represents the upward rounding function.

[0080] Further, in a specific embodiment of the present invention, Figure 5As shown, after obtaining the recommended number of batteries to be corrected in the current time period, the recommended number of batteries to be corrected and the number of battery slots are judged. If the recommended number of batteries to be corrected is greater than or equal to the number of battery slots, the recommended number of batteries is assigned according to the number of battery slots. If the recommended number of batteries to be corrected is less than the number of battery slots, the recommended number of batteries is assigned according to the recommended number of batteries to be corrected, and then the recommended number of batteries and the current number of batteries that can be shipped out of the warehouse are judged. If the recommended number of batteries is greater than or equal to the current number of batteries that can be shipped out of the warehouse, the number of batteries configured in the current time period is assigned according to the recommended number of batteries. If the recommended number of batteries is less than the current number of batteries that can be shipped out of the warehouse, the current number of batteries that can be shipped out of the warehouse with a preset multiple and the first difference are judged. If the current number of batteries that can be shipped out of the warehouse with a preset multiple is greater than or equal to the first difference, the number of batteries configured in the current time period is assigned according to the recommended number of batteries. If the current number of batteries that can be shipped out of the warehouse with a preset multiple is less than the first difference, the number of batteries configured in the current time period is calculated according to the preset model. Among them, the preset multiple can be preferably 0.2 times, and the preset model is:

[0081] Y=ceil(a*s_n+b*now_b)

[0082] Wherein, Y represents the number of batteries configured in the current period, s_n represents the recommended number of batteries, now_b represents the number of batteries that can be shipped out of the warehouse at present, and a and b represent model parameters respectively. The size of the model parameters is related to the size of the number of batteries that can be shipped out of the warehouse at present. If the number of batteries that can be shipped out of the warehouse at present is greater than or equal to the preset number, a can be preferably 0.75, and b can be preferably 0.2. If the number of batteries that can be shipped out of the warehouse at present is less than the preset number, a can be preferably 0.6, and b can be preferably 0.32. Among them, the preset number can be preferably 5. It should be noted that Figure 5 Here, s_n1 represents the recommended number of batteries to be corrected, s_n represents the recommended number of batteries, M represents the number of battery slots, now_b represents the current number of batteries that can be shipped out of the warehouse, st_n represents the current number of batteries that can be shipped out of the warehouse with a preset multiple, co_n represents the first difference between the recommended number of batteries and the current number of batteries that can be shipped out of the warehouse, and ceil() represents the rounding up function.

[0083] In summary, according to the method for configuring the number of batteries in an embodiment of the present invention, by obtaining the historical operation data set of the battery swap station, and dividing the historical operation data set into historical operation data subsets corresponding to multiple time periods, the maximum operation load rate of the battery swap station in the current time period is determined according to the historical operation data subset corresponding to the current time period, and the number of battery slots and the current number of batteries that can be shipped out of the slots of the battery swap station are obtained, so as to determine the number of batteries configured in the current time period according to the maximum operation load rate, the number of battery slots and the current number of batteries that can be shipped out of the slots. In this way, accurate prediction and automatic scheduling of battery management can be achieved, and the scientific nature and operational efficiency of battery configuration can be significantly improved, as well as the operating costs can be significantly reduced, and the smooth transition and efficient utilization of battery resources can be ensured.

[0084] Based on the battery quantity configuration method proposed in the aforementioned embodiment of the present invention, the embodiment of the present invention further proposes a computer-readable storage medium, on which a battery quantity configuration program is stored. When the battery quantity configuration program is executed by a processor, the battery quantity configuration method of the aforementioned embodiment of the present invention is implemented.

[0085] According to the computer-readable storage medium of an embodiment of the present invention, by executing the battery quantity configuration program through the processor, accurate prediction and automatic scheduling of battery management can be achieved, and the scientific nature and operational efficiency of battery configuration can be significantly improved, as well as the operating cost can be significantly reduced, and the smooth transition and efficient utilization of battery resources can be ensured.

[0086] Figure 6 4 is a block diagram of a device for configuring the number of batteries according to an embodiment of the present invention.

[0087] Specifically, the battery quantity configuration device is applied to a battery swap station, such as Figure 3 As shown, the battery quantity configuration device 100 includes a first acquisition module 10 , a processing module 20 , a first determination module 30 , a second acquisition module 40 , and a second determination module 50 .

[0088] Among them, the first acquisition module 10 is used to obtain the historical operation data set of the battery swap station; the processing module 20 is used to divide the historical operation data set into historical operation data subsets corresponding to multiple time periods; the first determination module 30 is used to determine the maximum operation load rate of the battery swap station in the current time period based on the historical operation data subset corresponding to the current time period; the second acquisition module 40 is used to obtain the number of battery slots and the current number of batteries that can be released from the slots of the battery swap station; the second determination module 50 is used to determine the number of battery configurations for the current time period based on the maximum operation load rate, the number of battery slots and the current number of batteries that can be released from the slots.

[0089] In some embodiments of the present invention, the historical operation data subset includes the historical number of battery replacement orders and the historical number of batteries that can be shipped out of the battery replacement station.

[0090] In some embodiments of the present invention, the first determination module 30 is specifically used to determine the operating load rate set corresponding to the current time period based on the historical number of battery replacement orders and the historical number of batteries that can be shipped out of the warehouse; calculate the mean and standard deviation of the operating load rate set; and determine the maximum operating load rate of the battery replacement station in the current time period based on the mean and standard deviation.

[0091] In some embodiments of the present invention, the processing module 20 is also used to clean the historical operation data set to filter out invalid historical battery replacement orders and data corresponding to historical batteries that can be shipped out with an SOC less than a preset SOC threshold.

[0092] In some embodiments of the present invention, the second determination module 50 is specifically used to determine the recommended number of batteries for the current time period based on the maximum operating load rate of the current time period, the number of battery storage locations and the current number of batteries that can be shipped out of the storage; calculate the first difference between the recommended number of batteries and the current number of batteries that can be shipped out of the storage; and determine the battery configuration number for the current time period based on the recommended number of batteries, the current number of batteries that can be shipped out of the storage and the first difference.

[0093] In some embodiments of the present invention, the second determination module 50 is also used to calculate the recommended number of batteries to be corrected in the current time period based on the maximum operating load rate of the current time period and the current number of batteries that can be released from the warehouse; and to correct the recommended number of batteries to be corrected according to the number of battery storage locations to obtain the recommended number of batteries.

[0094] In some embodiments of the present invention, the second determination module 50 is also used to assign the recommended number of batteries according to the number of battery slots if the recommended number of batteries to be corrected is greater than or equal to the number of battery slots; if the recommended number of batteries to be corrected is less than the number of battery slots, then the recommended number of batteries is assigned according to the recommended number of batteries to be corrected.

[0095] In some embodiments of the present invention, the second determination module 50 is also used to assign a value to the battery configuration quantity for the current time period according to the recommended battery quantity if the recommended battery quantity is greater than or equal to the current number of batteries that can be shipped out of the warehouse; if the recommended battery quantity is less than the current number of batteries that can be shipped out of the warehouse, then judge the current number of batteries that can be shipped out of the warehouse and the first difference; if the current number of batteries that can be shipped out of the warehouse at a preset multiple is greater than or equal to the first difference, then assign a value to the battery configuration quantity for the current time period according to the recommended battery quantity, wherein the preset multiple is a positive number less than one; if the current number of batteries that can be shipped out of the warehouse at the preset multiple is less than the first difference, then calculate the battery configuration quantity for the current time period according to the preset model.

[0096] In some embodiments of the present invention, the preset model is:

[0097] Y=ceil(a*s_n+b*now_b)

[0098] Among them, Y represents the number of batteries configured in the current period, s_n represents the recommended number of batteries, now_b represents the number of batteries that can be shipped out of the warehouse at present, a and b represent model parameters respectively, and the size of the model parameters is related to the size of the number of batteries that can be shipped out of the warehouse at present.

[0099] It should be noted that for other specific implementations of the battery quantity configuration device proposed in the embodiment of the present invention, reference can be made to the specific implementations of the battery quantity configuration method in the aforementioned embodiment of the present invention, which will not be described again here to reduce redundancy.

[0100] In summary, according to the battery quantity configuration device of the embodiment of the present invention, the historical operation data set of the battery swap station is obtained through the first acquisition module, and the historical operation data set is divided into historical operation data subsets corresponding to multiple time periods through the processing module, and then the maximum operation load rate of the battery swap station in the current time period is determined according to the historical operation data subset corresponding to the current time period through the first determination module, and the number of battery slots and the current number of batteries that can be shipped out of the slot are obtained through the second acquisition module, so as to determine the battery configuration number of the current time period according to the maximum operation load rate, the number of battery slots and the current number of batteries that can be shipped out of the slot in the current time period through the second determination module. In this way, accurate prediction and automatic scheduling of battery management can be achieved, and the scientific nature and operational efficiency of battery configuration are significantly improved, as well as the operating cost is significantly reduced, and the smooth transition and efficient use of battery resources are ensured.

[0101] Figure 7 is a block diagram of a battery replacement device according to an embodiment of the present invention.

[0102] like Figure 7 As shown, the battery replacement device 1000 includes the battery quantity configuration device 100 of the above-mentioned embodiment of the present invention.

[0103] According to the vehicle of the embodiment of the present invention, by adopting the battery quantity configuration device of the above-mentioned embodiment of the present invention, accurate prediction and automatic scheduling of battery management can be achieved, and the scientific nature and operational efficiency of battery configuration can be significantly improved, as well as the operating cost can be significantly reduced, and the smooth transition and efficient utilization of battery resources can be ensured.

[0104] In addition, other structures and functions of the battery replacement equipment in the embodiment of the present invention are known to technicians in this field and will not be described here to reduce redundancy.

[0105] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0106] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0107] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0108] In the description of the present invention, it is to be understood that the terms “center”, “longitudinal”, “lateral”, “length”, “width”, “thickness”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside”, “outside”, “clockwise”, “counterclockwise”, “axial”, “radial”, “circumferential”, etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0109] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0110] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0111] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0112] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for configuring the number of batteries, characterized in that: Applied to a battery swap station, the method comprises: Obtaining a historical operation data set of the battery swap station; Dividing the historical operation data set into historical operation data subsets corresponding to multiple time periods; Determine the maximum operating load rate of the battery swap station in the current period according to the historical operating data subset corresponding to the current period; Obtain the number of battery slots in the battery swap station and the number of batteries that can currently be shipped out of the slot; The number of batteries to be configured for the current time period is determined according to the maximum operating load rate of the current time period, the number of battery storage spaces, and the number of batteries that can currently be removed from the storage space.

2. The method for configuring the number of batteries according to claim 1, characterized in that: The historical operation data subset includes the historical number of battery replacement orders and the historical number of batteries that can be shipped out of the battery replacement station.

3. The method for configuring the number of batteries according to claim 2, characterized in that: Determining the maximum operating load rate of the battery swap station in the current period according to the historical operating data subset corresponding to the current period includes: Determine the set of operating load rates corresponding to the current time period according to the number of historical battery replacement orders and the number of historical batteries that can be shipped out of the warehouse; Calculating the mean and standard deviation of the set of operating load factors; The maximum operating load rate of the battery swap station in the current period is determined according to the average value and the standard deviation.

4. The method for configuring the number of batteries according to claim 2, characterized in that: After obtaining the historical operation data set of the battery swap station, it includes: The historical operation data set is cleaned to filter out invalid historical battery replacement orders and data corresponding to historical batteries that can be shipped out of the warehouse whose SOC is less than a preset SOC threshold.

5. The method for configuring the number of batteries according to claim 1, characterized in that: Determining the number of batteries to be configured in the current time period according to the maximum operating load rate in the current time period, the number of battery storage spaces, and the number of batteries that can currently be removed from the storage, includes: Determine the recommended number of batteries for the current period according to the maximum operating load rate of the current period, the number of battery storage spaces, and the number of batteries that can currently be shipped out of the storage; Calculating a first difference between the recommended battery quantity and the current number of batteries that can be shipped out of the warehouse; The battery configuration quantity for the current time period is determined according to the recommended battery quantity, the current number of batteries that can be shipped out of the warehouse, and the first difference.

6. The method for configuring the number of batteries according to claim 5, characterized in that: Determining the recommended number of batteries for the current time period according to the maximum operating load rate of the current time period, the number of battery storage spaces, and the number of batteries that can currently be removed from the storage, includes: Calculate the recommended number of batteries to be corrected in the current period according to the maximum operating load rate in the current period and the current number of batteries that can be shipped out of the warehouse; The recommended number of batteries to be corrected is corrected according to the number of battery slots to obtain the recommended number of batteries.

7. The method for configuring the number of batteries according to claim 6, characterized in that: The recommended number of batteries to be corrected is corrected according to the number of battery positions, including: If the recommended number of batteries to be corrected is greater than or equal to the number of battery slots, assigning a value to the recommended number of batteries according to the number of battery slots; If the recommended number of batteries to be corrected is less than the number of battery slots, the recommended number of batteries is assigned a value according to the recommended number of batteries to be corrected.

8. The method for configuring the number of batteries according to claim 5, characterized in that: Determining the number of batteries to be configured for the current time period according to the recommended number of batteries, the current number of batteries that can be shipped out of the warehouse, and the first difference includes: If the recommended battery quantity is greater than or equal to the current number of batteries that can be shipped out of the warehouse, assigning a value to the battery configuration quantity for the current time period according to the recommended battery quantity; If the recommended battery quantity is less than the current number of batteries that can be shipped out of the warehouse, then judging the current number of batteries that can be shipped out of the warehouse and the first difference; If the current number of batteries that can be shipped out of the warehouse at a preset multiple is greater than or equal to the first difference, assigning a value to the number of batteries configured in the current time period according to the recommended number of batteries, wherein the preset multiple is a positive number less than one; If the preset multiple of the current number of batteries that can be shipped out of the warehouse is less than the first difference, the number of batteries configured for the current time period is calculated according to the preset model.

9. The method for configuring the number of batteries according to claim 8, characterized in that: The preset model is: Y=ceil(a*s_n+b*now_b) Among them, Y represents the number of batteries configured in the current time period, s_n represents the recommended number of batteries, now_b represents the current number of batteries that can be shipped out of the warehouse, a and b represent model parameters respectively, and the size of the model parameters is related to the size of the current number of batteries that can be shipped out of the warehouse.

10. A computer-readable storage medium, characterized in that: A battery quantity configuration program is stored thereon, and when the battery quantity configuration program is executed by a processor, a battery quantity configuration method according to any one of claims 1-9 is implemented.

11. A battery quantity configuration device, characterized in that: Applied to a battery swap station, the device comprises: A first acquisition module is used to acquire a historical operation data set of the battery swap station; A processing module, used for dividing the historical operation data set into historical operation data subsets corresponding to multiple time periods; A first determination module, configured to determine the maximum operating load rate of the battery swap station in the current period according to a subset of historical operating data corresponding to the current period; The second acquisition module is used to obtain the number of battery storage spaces in the battery swap station and the number of batteries that can currently be shipped out of the storage space; The second determination module is used to determine the number of batteries to be configured in the current time period according to the maximum operating load rate of the current time period, the number of battery storage spaces, and the number of batteries that can currently be shipped out of the storage space.

12. A battery replacement device, characterized in that: A device for configuring the number of batteries comprising the battery described in claim 11.

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