Electric energy metering method and system for battery swap station

Abstract

The invention provides a battery swap station electric energy metering method and system, and the method comprises the steps: carrying out the statistics of historical charging metering data of a plurality of battery swap stations, and obtaining the relation between the basic attributes of a battery and an overcharge curve; creating an overcharge curve mapping relation table; determining the battery replacing demand information of the to-be-replaced vehicle distributed to the first battery replacing station; determining a reference demand electric quantity according to the battery replacement demand information and historical driving power consumption; obtaining a first overcharge curve according to the first basic attribute of the first battery of the first battery swap station and the overcharge curve mapping relation table; and according to the position information of the vehicle, the charging state parameter of the first battery, the first basic attribute, the first overcharge curve and the reference demand electric quantity, determining a recommended allocation scheme between the first battery and the vehicle to be subjected to battery replacement, and issuing the recommended allocation scheme to the first local management terminal and the battery replacement demand side terminal. According to the invention, the problems of single management of the battery swap station and battery swap only when the battery is fully charged can be solved, and the energy use efficiency and convenience can be improved.

Description

Technical Field

[0001] This application relates to the technical field of power supply for battery swapping stations in the new energy industry, and particularly relates to a method and system for measuring electric energy of a battery swapping station. Background Art

[0002] With the gradual popularization of the battery swapping station technology in the field of new energy electric vehicles, some battery swapping stations deployed in high-demand areas often experience a state of supply falling short of demand. Currently, the condition for allowing battery swapping in the battery storage of a battery swapping station is that the battery is fully charged. Or, users can contact the station specialist through methods such as an APP to inform that they can receive a non-fully charged battery, and the station specialist will manually operate to help jump the queue for battery replacement after the user arrives at the station. The former's strong constraint on the fully charged state results in a relatively small daily average number of battery swaps per battery storage in the battery swapping station and insufficient flexibility. The latter can achieve battery swapping for non-fully charged batteries, but requires users to perform relatively complex operations and the communication is not intelligent and convenient enough.

[0003] It can be seen that the current battery swapping service function implementation for battery swapping stations cannot well meet the usage requirements in high-demand scenarios. Summary of the Invention

[0004] This application provides a method and system for measuring electric energy of a battery swapping station, which is specifically optimized for high-demand scenarios. It is considered to dynamically allocate batteries that meet the driving requirements of users after battery swapping according to the minimum required mileage of users, and no longer rigidly constrain the condition of fully charged battery swapping. In this way, on the premise of meeting the user's needs, the batteries in the battery storage of the battery swapping station do not need to occupy the charging bin for too long in the slow charging state, improving the charging conversion rate per unit time of the battery storage, and further improving the operation efficiency of the battery storage, which is beneficial to improving the flexibility, intelligence, and convenience of the system, and at the same time improving the operation efficiency.

[0005] In a first aspect, this application provides a method for measuring electric energy of a battery swapping station, which is applied to a server of a battery swapping station operation and maintenance system. The battery swapping station operation and maintenance system includes a first local management terminal of a first battery swapping station and the server. The method includes: Statistical historical charging measurement data of multiple battery swapping stations for charging the batteries in the battery storage, where the multiple battery swapping stations include the first battery swapping station; Analyze the historical charging measurement data to obtain the corresponding relationship between the basic attributes of the battery and the overcharge curve; and create an overcharge curve mapping relationship table according to the obtained corresponding relationship. The basic attributes include battery model and battery full charge capacity, and the overcharge curve is a curve of the state of charge (SOC) of the battery changing with time; Determine the battery swapping demand information of the vehicle to be battery swapped assigned to the first battery swapping station; and determine the reference demand power according to the battery swapping demand mileage in the battery swapping demand information and the historical driving power consumption of the vehicle to be battery swapped; Query the supercharging curve mapping relation table according to the first basic attribute of the first battery currently placed in the battery compartment of the first battery swapping station, and obtain the first supercharging curve corresponding to the first battery; Determine a recommended allocation plan between the first battery and the vehicle to be battery-swapped according to the position information of the vehicle to be battery-swapped, the charging state parameter of the first battery, the first basic attribute, the first supercharging curve, and the reference required power, and publish the recommended allocation plan to the first local management terminal and the battery swapping demand side terminal.

[0006] In a second aspect, an embodiment of the present application provides a battery swapping station operation and maintenance system, including a server, a first local management terminal, and a battery swapping demand side terminal, where, The server is configured to execute the steps executed by the server in the first aspect of the embodiment of the present application; The first local management terminal is configured to execute the steps executed by the first local management terminal in the first aspect of the embodiment of the present application; The battery swapping demand side terminal is configured to execute the steps executed by the battery swapping demand side terminal in the first aspect of the embodiment of the present application.

[0007] It can be seen that in the embodiment of the present application, the server statistically analyzes the historical charging measurement data of multiple battery swapping stations for charging the batteries in the battery compartments, and the multiple battery swapping stations include the first battery swapping station; analyzes the historical charging measurement data to obtain the corresponding relationship between the basic attributes of the battery and the supercharging curve; and creates a supercharging curve mapping relation table according to the obtained corresponding relationship, where the basic attributes include the battery model and the full charge capacity of the battery, and the supercharging curve is a curve of the state of charge (SOC) of the battery changing with time; determines the battery swapping demand information of the vehicle to be battery-swapped assigned to the first battery swapping station; and determines the reference required power according to the battery swapping required mileage in the battery swapping demand information and the historical driving power consumption of the vehicle to be battery-swapped; queries the supercharging curve mapping relation table according to the first basic attribute of the first battery currently placed in the battery compartment of the first battery swapping station, and obtains the first supercharging curve corresponding to the first battery; determines a recommended allocation plan between the first battery and the vehicle to be battery-swapped according to the position information of the vehicle to be battery-swapped, the charging state parameter of the first battery, the first basic attribute, the first supercharging curve, and the reference required power, and publishes the recommended allocation plan to the first local management terminal and the battery swapping demand side terminal. In this way, compared with the existing battery swapping allocation strategy, the present application no longer has a fixed constraint condition of swapping with a fully charged battery, and considers dynamically allocating a battery that meets the driving demand of the user after battery swapping according to the minimum required mileage of the user, solves the problem of low energy use efficiency caused by the single management of the current battery swapping station and the need to wait for the battery to be fully charged before swapping, and improves the overall energy use efficiency and convenience. Description of the Drawings

[0008] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0009] Figure 1 is the system architecture diagram of a power exchange station operation and maintenance system provided by an embodiment of the present application; Figure 2 is the structural block diagram of an electronic device provided by an embodiment of the present application; Figure 3 is the overall flowchart of a power exchange station power metering method provided by an embodiment of the present application; Figure 4 is the display interface diagram of a power exchange demand-side terminal provided by an embodiment of the present application; Figure 5 is another display interface diagram of a power exchange demand-side terminal provided by an embodiment of the present application; Figure 6 is the application scenario diagram of a power exchange station power metering method provided by an embodiment of the present application. Detailed implementation manners

[0010] In order to enable those skilled in the art to better understand the solutions of the present application, the following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope protected by the present application.

[0011] The terms "first", "second", etc. in the specification, claims and the above accompanying drawings of the present application are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices.

[0012] References herein to "embodiments" mean that particular features, structures, or characteristics described in connection with the embodiments can be included in at least one embodiment of the present application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0013] The "and / or" in the embodiments of the present application describes the association relationship of associated objects and indicates that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone; A and B exist simultaneously; B exists alone. Among them, A and B can be singular or plural.

[0014] In the embodiments of the present application, the symbol " / " can indicate that the associated objects before and after are in an "or" relationship. Additionally, the symbol " / " can also represent a division sign, that is, perform a division operation. For example, A / B can represent A divided by B.

[0015] The "at least one (item)" or its similar expression in the embodiments of the present application refers to any combination of these items, including any combination of a single item or plural items, and means one or more, where multiple means two or more. For example, at least one (item) of a, b, or c can represent the following seven situations: a, b, c, a and b, a and c, b and c, a, b, and c. Among them, each of a, b, and c can be an element or a set containing one or more elements.

[0016] The "equal to" in the embodiments of the present application can be used in combination with "greater than" and is applicable to the technical solutions adopted when it is greater than, or can also be used in combination with "less than" and is applicable to the technical solutions adopted when it is less than. When "equal to" is used in combination with "greater than", it is not used in combination with "less than"; when "equal to" is used in combination with "less than", it is not used in combination with "greater than".

[0017] Currently, in the existing battery swapping allocation scheme, the condition for the battery compartment to allow battery swapping is that the battery is in a fully charged state, or the user can contact the station specialist through methods such as APP to inform that they can receive a non-fully charged battery, and the station specialist will perform manual operations to help jump the queue and replace the battery after arriving at the station. The former's strong constraint on the fully charged state results in a relatively small daily average number of battery swaps per battery compartment in the battery swapping station and insufficient flexibility. The latter can achieve battery swapping with non-fully charged batteries, but requires the user to perform relatively complex operations and the communication is not intelligent and convenient enough, making it difficult to meet the usage requirements of battery swapping batteries in high-frequency demand scenarios.

[0018] In view of the above problems, the embodiments of the present application provide a method and system for electric energy metering in a battery swapping station, which will be introduced in detail below in conjunction with the accompanying drawings.

[0019] Please refer to Figure 1 ,Figure 1 This is the system architecture diagram of a battery swapping station operation and maintenance system provided by an embodiment of the present application. As Figure 1 shown, the system architecture diagram of the battery swapping station operation and maintenance system includes a server 101, a first local management terminal 102, and a battery swapping demand side terminal 103. The server 101 is respectively connected to the first local management terminal 102 and the battery swapping demand side terminal 103.

[0020] Among them, the first local management terminal 102 can be an industrial tablet computer or an embedded terminal device integrated in the control cabinet of the first battery swapping station, and is responsible for the relevant management operations of the first battery swapping station locally. The first local management terminal 102 is mainly used for real-time monitoring of the status of the first battery and the operation of the charging equipment in the first battery swapping station, etc.; and for sending battery swapping demand information to the server 101, including battery swapping demand mileage, vehicle location, remaining available mileage, etc.; and, for receiving the recommended allocation plan between the first battery and the vehicle to be battery swapped sent by the server 101, and executing relevant battery allocation and battery swapping operation arrangement tasks in the first battery swapping station. It is the executor of the server 101's decision in the local battery swapping station, which is beneficial to ensuring the smooth implementation of the battery swapping service in the first battery swapping station.

[0021] Among them, the battery swapping demand side terminal 103 is the entry for users to interact with the battery swapping station operation and maintenance system, including the vehicle-mounted terminal of the vehicle to be battery swapped or the mobile terminal registered for the vehicle to be battery swapped, such as the central control screen inside the vehicle body, smart phone, notebook computer, tablet computer, etc. The battery swapping demand side terminal 103 is used for receiving the battery swapping demand instruction input by the user; and for sending battery swapping demand information to the server 101 in response to the battery swapping demand instruction, including battery swapping demand mileage, vehicle location, remaining available mileage, etc.; and, for feeding back the remaining available mileage and location information of the vehicle to be battery swapped to the server 101, and these information play an important role in the server 101's screening of battery swapping demand information and determination of the recommended allocation plan.

[0022] Among them, the server 101 is used for statistically analyzing the historical charging measurement data of the batteries in the battery compartments of multiple battery swapping stations, and deeply analyzing these data, so as to establish the corresponding relationship between the basic battery attributes and the supercharging curves, and then create a supercharging curve mapping relationship table; and, for determining the battery swapping demand information of the vehicle to be battery swapped allocated to the first battery swapping station, calculating the reference demand power according to various factors, querying the supercharging curves, and performing complex allocation plan optimization operations, and finally determining and recommending the allocation plan to the first local management terminal 102 and the battery swapping demand side terminal 103; and, for screening the battery swapping demand information, and coordinating the battery swapping demand allocation between the first battery swapping station and the adjacent second battery swapping station according to different situations.

[0023] It can be seen that in this embodiment, the server 101 performs exclusive optimization for high-frequency demand scenarios, considering dynamically allocating batteries that meet the driving requirements of users after battery swapping according to the minimum required mileage of users, and no longer rigidly constraining the condition of swapping fully charged batteries. In this way, under the premise of meeting the needs of users, the batteries in the battery storage of the battery swapping station do not need to occupy the charging bin for too long in the slow charging state, improving the charging conversion rate of the battery storage per unit time, thereby improving the operation efficiency of the battery storage, which is beneficial to improving the flexibility, intelligence, and convenience of the system, and at the same time improving the operation efficiency.

[0024] Please refer to Figure 2 , Figure 2 which is a structural block diagram of an electronic device provided by an embodiment of the present application and is used to execute Figure 1 the battery swapping station operation and maintenance system in Figure 2 As shown, the electronic device 20 may include one or more of the following components: a memory 23, a processor 21, a communication bus 30, a communication interface 22, and one or more programs 231. The one or more programs 231 are stored on the memory 23 and are configured to be executed by the processor 21. The one or more programs 231 include instructions for executing any step in the following method embodiments. Specifically, the processor 21 is used to execute any step in the following method embodiments, and when performing data transmissions such as sending, the communication interface 22 can be selectively called to complete the corresponding operations. Among them, the electronic device 20 may be a mobile phone terminal, a tablet computer, a laptop computer, and a wearable intelligent device.

[0025] The processor 21 may include one or more processing cores. The processor 21 connects various parts within the entire electronic device 20 using various interfaces and circuits. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 23, and by invoking data stored in the memory 23, it performs various functions of the electronic device 20 and processes data. Optionally, the processor 21 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 21 may integrate a combination of one or several of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, application programs, etc.; the GPU is responsible for rendering and drawing the display content; the modem is used to process wireless communication. It can be understood that the above-mentioned modem may not be integrated into the processor 21 and may be implemented separately through a communication chip.

[0026] The memory 23 may include random access memory (RAM) and may also include read-only memory (ROM). The memory 23 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 23 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing the operating system, instructions for implementing at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc. The data storage area may also store data created during the use of the electronic device 20.

[0027] It can be understood that the electronic device 20 may include more or fewer structural elements than those shown in the above structural block diagram. For example, it may include a power module, physical buttons, a Wi-Fi module, a speaker, a Bluetooth module, sensors, etc., which are not limited herein.

[0028] Please refer to Figure 3 , Figure 3 which is the overall flowchart of a power metering method for an electric vehicle swapping station provided by an embodiment of this application and is applied to the server 101 in Figure 1 As shown in Figure 3 , this method includes the following steps: Step S301, statistically analyze the historical charging measurement data of the batteries in the battery compartments of multiple battery swapping stations, where the multiple battery swapping stations include the first battery swapping station.

[0029] Among them, the historical charging measurement data at least includes battery basic attribute data, charging process data, and environment-usage related data.

[0030] Specifically, the battery basic attribute data includes the battery model and the full charge capacity of the battery. The performance differences of batteries of different models will affect the charging measurement. Moreover, the full charge capacity of the battery represents the amount of electricity that the battery can store when it is fully charged. Batteries with different full charge capacities will have different growth amplitudes and speeds of electricity under the same charging conditions, which will in turn lead to completely different overcharge curves. Therefore, accurately recording the full charge capacity of the battery is crucial for determining the overcharge curve mapping relationship table.

[0031] Specifically, the charging process data includes the initial and end state of charge (SOC), charging time, charging current, and voltage. Among them, the initial SOC and end SOC of each charge accurately reflect the range of electricity change of the battery during a charging process and constitute the key part of the overcharge curve. And the charging time represents the duration from the start to the end of each charge. Different charging durations correspond to different electricity growth amplitudes. For example, when charging from 20% SOC to 80% SOC, fast charging may only take 30 minutes, while slow charging may take 2 hours. The length of the charging time directly affects the slope of the overcharge curve, that is, the change situation of the charging speed. And the charging current and voltage are used to calculate the charging power. The change of the charging power directly affects the trend of the overcharge curve. For example, in the initial stage of charging, the battery may charge quickly at a relatively large power, and at this time the current and voltage are relatively stable, and the overcharge curve is relatively steep. As the battery charge gradually approaches the full charge state, in order to protect the battery, the charging power will gradually decrease, and the current and voltage will also change accordingly, and the overcharge curve becomes gentle.

[0032] Specifically, the environment-usage related data includes the charging environment temperature and vehicle driving condition data. The charging environment temperature has a significant impact on the chemical reaction rate inside the battery, and thus has an important effect on the charging efficiency and overcharge curve. For example, in a low-temperature environment, the charging speed is significantly slower, the slope of the overcharge curve becomes smaller, and the charging time is extended. On the contrary, in a high-temperature environment, the charging speed may increase, but too high a temperature may also cause safety problems of the battery, such as thermal runaway, etc., and it will also affect the battery life, making the overcharge curve show different change trends. The vehicle driving condition data includes data such as the driving mileage, driving speed, and road conditions (such as urban congestion, highway driving, etc.) of the vehicle. These data can reflect the discharge situation of the battery. Different discharge situations will result in different initial states and charging requirements of the battery during charging, thereby affecting the overcharge curve.

[0033] It can be seen that in this embodiment, the server is interconnected with the first local management terminal and the power replacement demand-side terminal, and then data interaction can be carried out to obtain historical charging measurement data of the batteries in multiple power replacement stations for charging. Thus, data statistics and analysis can be performed to obtain the corresponding relationship between different battery models and the supercharging curve. Furthermore, it is beneficial to determine the recommended allocation scheme of the first battery according to the supercharging curve and the power replacement demand, which is beneficial to improving the energy use efficiency.

[0034] Step S302: Analyze the historical charging measurement data to obtain the corresponding relationship between the basic attributes of the battery and the supercharging curve; and create a supercharging curve mapping relationship table according to the obtained corresponding relationship. The basic attributes include the battery model and the full charge capacity of the battery, and the supercharging curve is a curve of the state of charge (SOC) of the battery changing with time.

[0035] In a possible embodiment, the analyzing the historical charging measurement data to obtain the corresponding relationship between the basic attributes of the battery and the supercharging curve includes: Perform reference processing on the historical charging measurement data. The reference processing includes data cleaning and data preprocessing, and the data preprocessing includes normalization processing; Divide the historical charging measurement data after the reference processing into multiple historical charging measurement data groups. Each historical charging measurement data group includes multiple historical charging measurement data corresponding to multiple batteries. The basic attributes corresponding to the multiple batteries are the same, and the basic attributes corresponding to the multiple batteries in any two historical charging measurement data groups are different; For each historical charging measurement data group in the multiple historical charging measurement data groups, determine the supercharging curve corresponding to the historical charging measurement data group according to the multiple historical charging measurement data corresponding to the multiple batteries, and obtain multiple supercharging curves; Determine the one-to-one corresponding relationship between the basic attributes of the battery and the supercharging curve according to the multiple historical charging measurement data groups and the multiple supercharging curves.

[0036] Exemplarily, the historical charging measurement data of all batteries of model A with a full charge of 50 kwh are grouped into group a; and, the historical charging measurement data of batteries of model B with a full charge of 80 kwh are grouped into group b; and, the historical charging measurement data of batteries of model C with a full charge of 90 kwh are grouped into group c. Through statistical analysis of the historical charging measurement data, it is obtained that for the model A batteries in group a, it takes 30 minutes to charge from 20% SOC to 80% SOC under specific charging conditions. The relationship between the power change and time during this process constitutes the supercharging curve of the model A batteries. By analogy, the supercharging curves of the model B batteries and the model C batteries can be obtained respectively. The supercharging curve mapping relationship tables for different models of batteries are sorted out from such relationships.

[0037] Step S303, determine the battery replacement demand information of the vehicles to be replaced that are assigned to the first battery replacement station; and, determine the reference demand power according to the battery replacement demand mileage in the battery replacement demand information and the historical driving power consumption of the vehicles to be replaced.

[0038] Among them, the reference demand power refers to the power value calculated according to the battery replacement demand mileage of the vehicle to be replaced and its historical driving power consumption, and is used to measure the power required for the vehicle to complete the expected journey.

[0039] Specifically, in practical applications, the reference demand power is an important reference data for the battery replacement station operation and maintenance system to determine the battery allocation plan. Taking a certain vehicle to be replaced as an example, if its battery replacement demand mileage is 150 kilometers, and through statistical analysis of the historical driving data of this vehicle, it is obtained that its average power consumption per kilometer is 1.2 degrees. Then, using the formula "reference demand power = battery replacement demand mileage × historical driving power consumption", the reference demand power of this vehicle can be calculated as 150 × 1.2 = 180 degrees. These 180 degrees of power are the values that the system needs to consider key when allocating batteries for it, so as to ensure that the power of the allocated batteries can meet the basic driving needs of the vehicle.

[0040] In a possible embodiment, the determination of the battery replacement demand information of the vehicles to be replaced that are assigned to the first battery replacement station includes: Obtain multiple battery replacement demand information from multiple battery replacement demand side terminals, where the battery replacement demand side terminals include the vehicle-mounted terminals of the vehicles to be replaced or the mobile terminals that register the vehicles to be replaced; Obtain the remaining available mileage of the vehicle to be replaced and the location information of the battery replacement demand side terminal; Obtain the reference location range mapped by the location information of the first battery replacement station; Screen out the first battery replacement demand information whose location information is within the reference location range and whose remaining available mileage can reach the first battery replacement station from the multiple battery replacement demand information; Determine whether the difference between the quantity of the first battery swapping demand information and the quantity of the first batteries of the first battery swapping station is less than a preset value; If it is detected that the difference is less than the preset value, mark the first battery swapping demand information as the battery swapping demand information allocated to the first battery swapping station; If it is detected that the difference is not less than the preset value, obtain the battery swapping load status of a second battery swapping station adjacent to the first battery swapping station; and determine the battery swapping demand information allocated to the first battery swapping station among the first battery swapping demand information according to the battery swapping load status, the remaining available mileage of the vehicle to be battery swapped, the location information of the battery swapping demand side terminal, and the location information of the second battery swapping station.

[0041] In a possible embodiment, the obtaining the reference position range mapped by the location information of the first battery swapping station includes: Obtain the location information of the first battery swapping station; Determine a geographical area centered on the first battery swapping station according to the location information of the first battery swapping station and a preset boundary shape and size, and determine the geographical area as the reference position range; Obtain the road conditions and traffic congestion conditions in the current period in real time, and dynamically adjust the boundary shape and size of the reference position range according to the road conditions and the traffic congestion conditions, where the road conditions include highway sections and non-highway sections.

[0042] In a possible embodiment, the traffic congestion conditions include non-congestion, general congestion, moderate congestion, and severe congestion; the dynamically adjusting the boundary shape and size of the reference position range according to the road conditions and the traffic congestion conditions includes: If it is determined that the road condition is a non-highway section, obtain the reference boundary shape and reference boundary size corresponding to the traffic congestion condition, and adjust the reference position range according to the reference boundary shape and reference boundary size; and If it is determined that the road condition is a highway section, divide the highway section into multiple highway section partitions according to the data of the highway section, and set a geographical fence centered on the first battery swapping station according to the multiple highway section partitions and the location information of the first battery swapping station; and Adjust the boundary shape and size of the geographical fence according to the traffic congestion condition corresponding to the current period.

[0043] It can be understood that the reference position range mapped by the position information of the first battery swapping station is an area determined by the position signal of the first battery swapping station and a preset boundary shape and size. For example, a circular area or a polygonal area with different radii is set with the battery swapping station as the center as the reference range. In addition, the reference position range is dynamically adjusted according to the traffic congestion conditions in different time periods. For example, during the traffic peak period, the range is narrowed to ensure that the vehicle can arrive within a reasonable time; and, the reference position range is dynamically adjusted according to different road conditions. For example, for a battery swapping station arranged along a highway (generally an integrated charging and battery swapping station that can charge and swap batteries, or there are also those that only support battery swapping), the battery swapping demand information can be partitioned according to the geographical fence of the published position.

[0044] In a possible embodiment, the battery swapping load status is used to characterize the reservation status and battery status of the second battery of the second battery swapping station; the determining, according to the battery swapping load status, the remaining available mileage of the vehicle to be battery swapped, the position information of the battery swapping demand side terminal, and the position information of the second battery swapping station, the battery swapping demand information allocated to the first battery swapping station in the first battery swapping demand information includes: Determining at least one vehicle to be battery swapped that can travel to the second battery swapping station according to the remaining available mileage of the vehicle to be battery swapped, the position information of the battery swapping demand side terminal, and the position information of the second battery swapping station; Determining the battery status of the unreserved batteries of the second battery swapping station according to the battery swapping load status; Determining one or more vehicles to be battery swapped that can reach the state of being able to swap batteries immediately upon arrival among the at least one vehicle to be battery swapped according to the battery status of the unreserved batteries; Determining the first battery swapping demand information after excluding the one or more vehicles to be battery swapped from the first battery swapping demand information as the battery swapping demand information allocated to the first battery swapping station.

[0045] Wherein, the server is connected to the local management terminal of the second battery swapping station and is used to obtain the battery swapping load status and position information of the second battery of the second battery swapping station.

[0046] In a possible embodiment, the determining, according to the battery status of the unreserved batteries, one or more vehicles to be battery swapped that can reach the state of being able to swap batteries immediately upon arrival among the at least one vehicle to be battery swapped includes: Determining the reference arrival time of each vehicle to be battery swapped among the one or more vehicles to be battery swapped at the second battery swapping station; Determining the power of each unreserved battery at the reference arrival time according to the battery status of the unreserved batteries; Mark the electric vehicle to be replaced with electricity whose electricity quantity is greater than the reference demand electricity quantity as being able to reach the state where electricity can be replaced upon arrival at the station.

[0047] Exemplarily, the reference position range of the first battery swapping station can be an area with a radius of 10 kilometers centered on it. There are 10 battery swapping demand messages. Among them, the positions of the first vehicle, the second vehicle, the third vehicle, the fourth vehicle, and the fifth vehicle corresponding to 5 messages are within this range and the remaining available mileage can reach the first battery swapping station. These 5 are the first battery swapping demand messages. If the first battery swapping station has 3 batteries, 5 - 3 = 2 is greater than the preset value of 1. At this time, obtain the battery swapping load status of the adjacent second battery swapping station. For example, the second battery swapping station has 2 unreserved batteries. According to information such as the positions of the electric vehicles to be replaced with electricity and the second battery swapping station, it is determined that the second vehicle and the third vehicle can go to the second battery swapping station and can reach the state where electricity can be replaced upon arrival at the station. Then, allocate the first battery swapping demand messages corresponding to the remaining first vehicle, fourth vehicle, and fifth vehicle to the first battery swapping station.

[0048] It can be seen that in this embodiment, through the interconnection of the server with the local management terminals of the first battery swapping station and the second battery swapping station, the battery swapping demand messages of the electric vehicles to be replaced with electricity allocated to the first battery swapping station can be determined, and some electric vehicles to be replaced with electricity can be intelligently allocated to the second battery swapping station, which is beneficial to coordinating the allocation of energy and improving the flexibility and convenience of allocation.

[0049] Step S304: Query the ultra-fast charging curve mapping relationship table according to the first basic attribute of the first battery currently placed in the battery compartment of the first battery swapping station to obtain the first ultra-fast charging curve corresponding to the first battery.

[0050] Step S305: Determine a recommended allocation plan between the first battery and the electric vehicle to be replaced with electricity according to the position information of the electric vehicle to be replaced with electricity, the charging state parameters of the first battery, the first basic attribute, the first ultra-fast charging curve, and the reference demand electricity quantity, and publish the recommended allocation plan to the first local management terminal and the battery swapping demand side terminal.

[0051] In a possible embodiment, the determining a recommended allocation plan between the first battery and the electric vehicle to be replaced with electricity according to the position information of the electric vehicle to be replaced with electricity, the charging state parameters of the first battery, the first basic attribute, the first ultra-fast charging curve, and the reference demand electricity quantity includes: Determine the reference demand electricity quantity SOC according to the first basic attribute and the reference demand electricity quantity; Determine the estimated battery swapping time of the electric vehicle to be replaced with electricity according to the position information of the electric vehicle to be replaced with electricity, the position information of the first battery swapping station, and the traffic map information; Determine the target battery state of charge (SOC) and the actual charged amount of the first battery at the predicted battery swapping time according to the charging state parameter of the first battery and the first supercharging curve; Determine the maximum chargeable amount of the battery compartment under continuous charging conditions according to the first supercharging curve and the predicted battery swapping time; Perform an optimization operation on the allocation plan with the degree of satisfaction of the required mileage and the charging conversion efficiency of the battery compartment as constraints according to the target SOC, the actual charged amount, and the maximum chargeable amount, and obtain a recommended allocation plan between the first battery and the vehicle to be swapped.

[0052] Exemplarily, when the predicted battery swapping time is 1 hour later and the current SOC of the first battery is 30%, according to the supercharging curve, it can be charged to 60% after 1 hour, that is, the target SOC is 60%. At the same time, calculate the actual charged amount within this 1 hour, and calculate the maximum chargeable amount of the battery compartment under continuous charging within 1 hour according to the supercharging curve.

[0053] In a possible embodiment, the determining the maximum chargeable amount of the battery compartment under continuous charging conditions according to the first supercharging curve and the predicted battery swapping time includes: Determine the average charging speed of the SOC in the reference SOC section according to the first supercharging curve, and the reference SOC section is a high-frequency charging section obtained by statistical analysis of historical charging data; Determine the maximum chargeable amount of the battery compartment under continuous charging conditions according to the average charging speed and the duration between the current system time and the predicted battery swapping time.

[0054] In a possible embodiment, the performing an optimization operation on the allocation plan with the degree of satisfaction of the required mileage and the charging conversion efficiency of the battery compartment as constraints according to the target SOC, the actual charged amount, and the maximum chargeable amount, and obtaining a recommended allocation plan between the first battery and the vehicle to be swapped includes: Create allocation plans for the first batteries and the vehicles to be swapped at the first battery swapping station according to the constraint conditions that each vehicle to be swapped is allocated at most one first battery and the first batteries of any two configured vehicles need to be different, and obtain multiple allocation plans; For each allocation plan, calculate the degree of satisfaction of the required mileage and the charging conversion efficiency of the battery compartment respectively and perform comprehensive processing to obtain the comprehensive fitness of each allocation plan; Select the allocation plan with the highest comprehensive fitness as the recommended allocation plan between the first battery and the vehicle to be swapped.

[0055] Exemplarily, there are 3 vehicles to be battery-swapped and 3 first batteries. Then, multiple allocation schemes are created, and the satisfaction degree of the required mileage and the charging conversion efficiency of the battery compartment are calculated for each scheme. For example, in Scheme 1, the first vehicle is allocated the first battery, the second vehicle is allocated the second battery, and the third vehicle is allocated the third battery. The comprehensive fitness of each index under this scheme is calculated, and all schemes are compared, and the one with the highest comprehensive fitness is selected as the recommended scheme.

[0056] In a possible embodiment, for each allocation scheme, the satisfaction degree of the required mileage and the charging conversion efficiency of the battery compartment are calculated respectively and comprehensively processed to obtain the comprehensive fitness of each allocation scheme, including: For each first battery and its corresponding vehicle to be battery-swapped in the currently processed allocation scheme, the following steps are performed to obtain multiple satisfaction degrees of the required mileage: Determine the estimated power at the estimated battery-swapping time according to the target state of charge (SOC) of the currently processed first battery and the first basic attribute of the currently processed first battery; Divide the estimated power by the reference required power of the vehicle to be battery-swapped to obtain the satisfaction degree of the required mileage of the currently processed first battery; Determine the comprehensive satisfaction degree of the required mileage of the first battery swapping station according to the multiple satisfaction degrees of the required mileage; For each first battery and its corresponding vehicle to be battery-swapped in the currently processed allocation scheme, the following steps are performed to obtain multiple charging conversion efficiencies of the battery compartment: Obtain the actual charged power of the currently processed first battery and the maximum chargeable power of the battery compartment to which the first battery belongs; And determine the charging conversion efficiency of the battery compartment according to the actual charged power and the maximum chargeable power; Determine the comprehensive charging conversion efficiency of the battery compartment of the first battery swapping station according to the multiple charging conversion efficiencies of the battery compartment; Determine the comprehensive fitness of each allocation scheme according to the preset weight coefficient, the comprehensive satisfaction degree of the required mileage, and the comprehensive charging conversion efficiency of the battery compartment.

[0057] In a possible embodiment, the determining the comprehensive satisfaction degree of the required mileage of the first battery swapping station according to the multiple satisfaction degrees of the required mileage includes: Determine the first quantity of which the multiple satisfaction degrees of the required mileage are 1; Determine the second quantity of the multiple satisfaction degrees of the required mileage; Determine the comprehensive satisfaction degree of the required mileage of the first battery swapping station according to the first quantity and the second quantity.

[0058] Exemplarily, there may be 3 vehicles to be charged and 3 first batteries, and six allocation schemes can be created. Under each allocation scheme, the degree of satisfaction of the required mileage corresponding to each vehicle to be charged and the degree of satisfaction of the comprehensive required mileage are shown in Table 1, the comprehensive required mileage satisfaction table, as follows: Table 1. Comprehensive required mileage satisfaction table Allocation plan First vehicle to be battery-swapped Second vehicle to be battery-swapped Third vehicle to be battery-swapped Degree of satisfaction of the required mileage of the first vehicle to be battery-swapped Degree of satisfaction of the required mileage of the second vehicle to be battery-swapped Degree of satisfaction of the required mileage of the third vehicle to be battery-swapped Comprehensive degree of satisfaction of the required mileage Plan 1 First battery A First battery B First battery C 0.8 0.9 0.7 0.8 Plan 2 First battery A First battery C First battery B 0.8 0.7 0.85 0.78 Plan 3 First battery B First battery A First battery C 0.75 0.85 0.7 0.77 Plan 4 First battery B First battery C First battery A 0.75 0.7 0.8 0.75 Plan 5 First battery C First battery A First battery B 0.7 0.85 0.8 0.78 Plan 6 First battery C First battery B First battery A 0.7 0.9 0.8 0.8 Exemplarily, under each allocation scheme, the charging conversion efficiency of the battery compartment corresponding to each vehicle to be charged and the comprehensive charging conversion efficiency of the battery compartment are shown in Table 2, the comprehensive battery compartment charging conversion efficiency table, as follows: Table 2. Comprehensive battery compartment charging conversion efficiency table Allocation plan First vehicle to be battery-swapped Second vehicle to be battery-swapped Third vehicle to be battery-swapped Battery compartment charging conversion efficiency of the first vehicle to be battery-swapped Battery compartment charging conversion efficiency of the second vehicle to be battery-swapped Battery compartment charging conversion efficiency of the third vehicle to be battery-swapped Comprehensive battery compartment charging conversion efficiency Plan 1 First battery A First battery B First battery C 0.7 0.8 0.75 0.75 Plan 2 First battery A First battery C First battery B 0.75 0.8 0.7 0.75 Plan 3 First battery B First battery A First battery C 0.8 0.7 0.75 0.75 Plan 4 First battery B First battery C First battery A 0.7 0.75 0.8 0.75 Plan 5 First battery C First battery A First battery B 0.75 0.7 0.8 0.75 Plan 6 First battery C First battery B First battery A 0.75 0.8 0.7 0.75 Exemplarily, the preset weight coefficients corresponding to the degree of satisfaction of the comprehensive required mileage and the comprehensive charging conversion efficiency of the battery compartment can be 0.6 and 0.4 respectively. Then, the comprehensive fitness corresponding to each allocation scheme is shown in Table 3, the comprehensive fitness table, as follows: Table 3. Comprehensive fitness table Allocation plan First vehicle to be battery-swapped Second vehicle to be battery-swapped Third vehicle to be battery-swapped Comprehensive degree of satisfaction of the required mileage Comprehensive battery compartment charging conversion efficiency Comprehensive fitness Plan 1 First battery A First battery B First battery C 0.8 0.75 0.78 Plan 2 First battery A First battery C First battery B 0.78 0.75 0.768 Plan 3 First battery B First battery A First battery C 0.77 0.75 0.762 Plan 4 First battery B First battery C First battery A 0.75 0.75 0.75 Plan 5 First battery C First battery A First battery B 0.78 0.75 0.768 Plan 6 First battery C First battery B First battery A 0.8 0.75 0.78 It can be seen that in this embodiment, exclusive optimization is carried out for high-frequency demand scenarios. Considering dynamically allocating batteries that meet the driving requirements of users after battery replacement according to the minimum required mileage of users, the constraint condition of full-charge battery replacement is no longer rigidly constrained. In this way, on the premise of meeting the needs of users, the batteries in the battery compartment of the battery replacement station do not need to occupy the charging bin for too long in the slow charging state, improving the charging conversion rate of the battery compartment per unit time, and then improving the operation efficiency of the battery compartment, which is beneficial to improving the flexibility, intelligence and convenience of the system, and at the same time improving the operation efficiency.

[0059] Please refer to Figure 4 , Figure 4 which is a display interface diagram of a battery replacement demand-side terminal provided by an embodiment of the present application. As shown in Figure 4 , this display interface diagram of the battery replacement demand-side terminal is a schematic diagram of a battery replacement station search interface of a user-side mobile terminal.

[0060] Among them, the battery replacement demand-side terminal includes but is not limited to the user-side mobile terminal, and may also include the vehicle-mounted terminal of the vehicle to be charged. The user-side mobile terminal is registered and bound with the vehicle to be charged. Further, the user-side mobile terminal includes application products such as a small program or APP that can register and bind the vehicle to be charged. When the user has a charging demand during the driving process of the vehicle, the user can log in to this application interface and search for nearby battery replacement stations, and the battery replacement station search interface as shown in Figure 4 will be presented.

[0061] Specifically, the upper-middle part of the swapping station search interface is a map route interface, which marks the current position of the vehicle to be swapped and the positions of multiple swapping stations, and prominently marks the position of the first swapping station. For example, the first swapping station is shown as the best optional swapping station for the vehicle to be swapped by marking color and the character "Preferred Swapping"; in addition, on the right side of the map route interface, there are respectively a favorite icon, a positioning icon, a route icon, and a refresh icon from top to bottom, which respectively support users to perform corresponding operations.

[0062] Further, the middle-lower part of the swapping station search interface is the brief information of the searched swapping stations. From top to bottom, there is a search bar for searching for nearby swapping stations, and on the right side of the search bar, there is a filtering icon for filtering relevant information of swapping stations that meet specific user requirements, such as distance, cost, queuing number, rating, etc.; below the search bar, there are respectively a comprehensive sorting character, a swapping station character, a DC pile character, and an AC pile character from left to right. Among them, the comprehensive sorting character is used to sort multiple searched swapping stations, and then present the best swapping stations in turn. The swapping station character, DC pile character, and AC pile character are used for users to directly click and serve as keywords to filter swapping stations; further down, there is the brief information of multiple swapping stations. After the server obtains the swapping demand information of the vehicle to be swapped and determines that it is allocated to the first swapping station, the character "Preferred" will be marked in the information column of the first swapping station.

[0063] It can be seen that in this embodiment, after the server obtains the swapping demand information of the vehicle to be swapped, it further filters out the relevant information of the first swapping station allocated to the vehicle to be swapped according to the swapping demand information and the position information of the vehicle to be swapped, and marks it as preferred swapping. Furthermore, it can further calculate the recommended allocation plan between the first battery in the first swapping station and the vehicle to be swapped based on the supercharging curve, charging status parameters, basic attributes of the first battery in the first swapping station, and the position information and required power of the vehicle to be swapped, so as to guide the vehicle to be swapped to select the most suitable battery for swapping, which is beneficial to coordinating the allocation of energy and improving the flexibility and convenience of allocation.

[0064] Please refer to Figure 5 , Figure 5 which is another display interface diagram of the swapping demand-side terminal provided by the embodiment of the present application. As Figure 5 shown, this display interface diagram of the swapping demand-side terminal is the detailed information display interface diagram of the first swapping station of the user-side mobile terminal.

[0065] Among them, the server determines that the first swapping station is the ××× fast-charging swapping station. Further, Figure 5 the shown detailed information display interface shows multiple characteristic identifiers, distance information, comprehensive usage information, current battery usage status information, best swapping battery prompt information, and swapping start identifier, etc. of this swapping station.

[0066] Specifically, the multiple feature identifiers of the first battery swapping station include preferred charging, battery swapping station 3.0, limited-time free parking, autonomous battery swapping, flexible upgrade for pick-up and return, battery swapping parking assistance, and shared station; the distance information includes the distance information between the first battery swapping station and the current vehicle to be battery-swapped. It can be seen that the first battery swapping station is 1.1 kilometers away from the current location; the comprehensive usage information includes the number of available batteries, the total number of people in the queue, and the total number of people who have gone there. It can be seen that the first battery swapping station has a total of 12 first batteries, among which 3 are available batteries, there are 0 people in the queue, and a total of 1 person has gone there; the current battery usage status information includes the usage status of each battery and the remaining usage time. It can be seen that batteries No. 3, No. 5, and No. 6 in the first battery swapping station are in the current available state and the recommended degree is characterized by the number of stars below the icon. Moreover, battery No. 3 is the best battery for battery swapping and is highlighted by the number of stars, the icon background color, and the icon size.

[0067] Furthermore, the best battery swapping battery prompt information is the prompt information of the best battery swapping battery output in response to the recommended allocation plan after the user-side mobile terminal receives the battery recommendation allocation plan from the server, and is used to prompt the user to go to the best battery swapping battery in the first charging station; and, the battery swapping start identifier is located in the lower right corner of the detailed information display interface, and the user triggers this identifier to perform battery swapping; in addition, the lower left corner of the detailed information display interface also includes a favorite icon, a commissioner icon, and a surrounding icon. The favorite icon is used to add the first battery swapping station to the favorites for quick query after being triggered, the commissioner icon is used to connect to the hotline of the working commissioner in the first battery swapping station after being triggered, and the surrounding icon is used to query the relevant buildings and equipment around the first battery swapping station.

[0068] It can be seen that in the embodiment of the present application, the server determines the recommended allocation plan between the first battery and the vehicle to be battery-swapped, and publishes the recommended allocation plan to the first local management terminal and the battery swapping demand-side terminal. After the battery swapping demand-side terminal receives the recommended allocation plan, it determines the best battery swapping battery in the first battery swapping station based on the recommended allocation plan, and outputs the prompt information of the best battery swapping battery on the detailed information interface of the first battery swapping station to prompt the user to go to the best battery swapping battery for battery swapping. In this way, compared with the existing battery swapping allocation strategy, the present application no longer rigidly restricts the constraint condition of full-charge battery swapping, and considers dynamically allocating the battery that meets the driving demand of the user after battery swapping according to the user's minimum required mileage, solves the problem of single management of the current battery swapping station and low energy use efficiency caused by having to wait for the battery to be fully charged before battery swapping, and improves the overall energy use efficiency and convenience.

[0069] Please refer to Figure 6 , Figure 6 which is an application scenario diagram of a method for measuring electric energy of a battery swapping station provided by an embodiment of the present application. As Figure 6 shown, this application scenario diagram of the method for measuring electric energy of the battery swapping station is a schematic diagram of the scenario of the first battery swapping station.

[0070] It is understandable that among existing battery swapping stations, the Sunshine Battery Swapping Station is widely used for its energy-saving and environmental protection features. It can not only charge vehicles through photovoltaic power generation, but also interact with the power grid with the surplus electricity, increasing the operating income of the station. When the power grid experiences a power outage, vehicle owners can still charge as normal. In addition, the Sunshine Battery Swapping Station supports mini-program positioning and is fully connected to map APPs, solving the problem of users having difficulty finding stations.

[0071] Among them, Figure 6 In the schematic diagram of the scenario of the first battery swapping station shown, it includes a power grid, a transformer, photovoltaic power generation components, vehicles waiting for battery swapping, and multiple first batteries. The multiple first batteries are respectively distinguished by multiple digital labels from 1 to 12.

[0072] Specifically, the power of the power grid is processed such as stepped down through a transformer and then transmitted to each first battery in the charging station; the photovoltaic power generation components convert solar energy into electrical energy, and the generated electrical energy can be directly supplied to the first battery to charge the vehicle. Further, when the light is sufficient, the electrical energy generated by the photovoltaic power generation components can preferentially meet the demand of the first battery, and the surplus electrical energy can be stored through relevant storage devices; when the photovoltaic power generation is insufficient, the power grid supplies supplementary power; if a power outage occurs in the power grid, when the photovoltaic power generation is sufficient and there is stored electrical energy, it can still supply power to the first battery through photovoltaic power generation to ensure normal vehicle charging. At the same time, the surplus electricity can also be fed back to the power grid to obtain benefits.

[0073] It can be seen that in this embodiment, when the battery swapping demand-side terminal receives the recommended allocation plan from the server, it can determine the best charging battery in the first battery swapping station that can best meet the user's required mileage and the charging conversion efficiency of the battery compartment, and guide the user to the best charging battery in the first charging station for charging. For example, as Figure 6 shown, there are three currently available first batteries, namely No. 3, No. 5, and No. 6, in the first battery swapping station. According to the recommended allocation plan, it can be determined that the No. 3 battery is the best charging battery. Then the battery swapping demand-side terminal will prompt the user to go to the battery swapping position of the No. 3 battery for battery swapping. In this way, on the premise of meeting the user's needs, the batteries in the battery compartment of the battery swapping station do not need to occupy the charging compartment for too long in the slow charging state, improving the charging conversion rate of the battery compartment per unit time, and further improving the operating efficiency of the battery compartment, which is beneficial to improving the flexibility, intelligence, and convenience of the system, and at the same time improving the operating efficiency.

[0074] In addition, an embodiment of the present application further provides a computer storage medium, which stores a computer program that can be loaded and executed by a processor and is applicable to the power metering method for a battery swapping station as described above. Such a computer-readable storage medium may include, for example, various media capable of storing program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs.

[0075] It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should understand that the present application is not limited by the described action sequences, because according to the present application, certain steps may be performed in other sequences or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0076] In several embodiments provided by the present application, it should be understood that the disclosed methods, devices, and systems can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation; for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections between each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0077] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0078] In addition, in each embodiment of the present invention, the functional units can be integrated into one processing unit, or each unit can be physically included separately, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware, or in the form of a combination of hardware and software functional units.

[0079] The integrated unit implemented in the form of software functional units can be stored in a computer-readable storage medium. The above-mentioned software functional units are stored in a storage medium and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute some steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, mobile hard disks, magnetic disks, optical disks, volatile memories, or non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of random access memory (RAM) are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchlink dynamic random access memory (SLDRAM), and direct rambus random access memory (DRRAM), etc., and various media that can store program codes.

[0080] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0081] The embodiments of the present application have been introduced in detail above. Specific examples are used in this article to elaborate on the principle and implementation manner of the present application. The descriptions of the above embodiments are only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.

[0082] Although the present application is disclosed as above, the present application is not limited thereto. Any person skilled in the art can easily conceive of changes or substitutions without departing from the spirit and scope of the present application, and can make various modifications and alterations, including combinations of the above different functions and implementation steps, including software and hardware implementation manners, which are all within the protection scope of the present application.

Claims

1. A method for measuring electric energy in an electric vehicle swapping station, characterized in that, A server applied to an operation and maintenance system of a battery swapping station, where the operation and maintenance system of the battery swapping station includes a first local management terminal of a first battery swapping station and the server, and the method includes: Statistically analyzing historical charging measurement data of charging batteries in battery compartments by multiple battery swapping stations, where the multiple battery swapping stations include the first battery swapping station; Analyzing the historical charging measurement data to obtain a correspondence between the basic attributes of the battery and the overcharging curve; and creating an overcharging curve mapping relation table according to the obtained correspondence, where the basic attributes include battery model and full battery power, and the overcharging curve is a curve of the state of charge (SOC) of the battery changing with time; Determining the battery swapping demand information of a to-be-battery-swapped vehicle assigned to the first battery swapping station; and determining a reference demand power according to the demanded mileage in the battery swapping demand information and the historical driving power consumption of the to-be-battery-swapped vehicle; Querying the overcharging curve mapping relation table according to the first basic attributes of the first battery currently placed in the battery compartment of the first battery swapping station to obtain the first overcharging curve corresponding to the first battery; Determining a recommended allocation plan between the first battery and the to-be-battery-swapped vehicle according to the position information of the to-be-battery-swapped vehicle, the charging state parameters of the first battery, the first basic attributes, the first overcharging curve, and the reference demand power, and publishing the recommended allocation plan to the first local management terminal and the battery swapping demand side terminal.

2. The method according to claim 1, wherein The determining a recommended allocation plan between the first battery and the to-be-battery-swapped vehicle according to the position information of the to-be-battery-swapped vehicle, the charging state parameters of the first battery, the first basic attributes, the first overcharging curve, and the reference demand power includes: Determining a reference demand power SOC according to the first basic attributes and the reference demand power; Determining the estimated battery swapping time of the to-be-battery-swapped vehicle according to the position information of the to-be-battery-swapped vehicle, the position information of the first battery swapping station, and traffic map information; Determining the target power SOC and the actual charged power of the first battery at the estimated battery swapping time according to the charging state parameters of the first battery and the first overcharging curve; Determining the maximum chargeable power of the battery compartment under continuous charging conditions according to the first overcharging curve and the estimated battery swapping time; Performing an optimization operation of the allocation plan with the satisfaction degree of the demanded mileage and the charging conversion efficiency of the battery compartment as constraints according to the target power SOC, the actual charged power, and the maximum chargeable power to obtain a recommended allocation plan between the first battery and the to-be-battery-swapped vehicle.

3. The method according to claim 2, wherein The performing an optimization operation of the allocation plan with the satisfaction degree of the demanded mileage and the charging conversion efficiency of the battery compartment as constraints according to the target power SOC, the actual charged power, and the maximum chargeable power to obtain a recommended allocation plan between the first battery and the to-be-battery-swapped vehicle includes: Create an allocation plan for the first batteries in the first battery swapping station and the battery swapping vehicles according to the constraint conditions that at most one first battery is allocated to each battery swapping vehicle to be swapped, and the first batteries of any two battery swapping vehicles configured with batteries need to be different, so as to obtain multiple allocation plans; For each allocation plan, calculate the degree of satisfaction of the required mileage and the charging conversion efficiency of the battery compartment respectively and perform comprehensive processing to obtain the comprehensive fitness of each allocation plan; Select the allocation plan with the highest comprehensive fitness as the recommended allocation plan between the first batteries and the battery swapping vehicles.

4. The method according to claim 3, characterized in that, The step of calculating the degree of satisfaction of the required mileage and the charging conversion efficiency of the battery compartment respectively for each allocation plan and performing comprehensive processing to obtain the comprehensive fitness of each allocation plan includes: For each first battery in the currently processed allocation plan and its corresponding battery swapping vehicle, perform the following steps to obtain multiple degrees of satisfaction of the required mileage: determine the expected battery power at the expected battery swapping time according to the target state of charge (SOC) of the currently processed first battery and the first basic attributes of the currently processed first battery; divide the expected battery power by the reference required battery power of the battery swapping vehicle to obtain the degree of satisfaction of the required mileage of the currently processed first battery; Determine the comprehensive degree of satisfaction of the required mileage of the first battery swapping station according to the multiple degrees of satisfaction of the required mileage; For each first battery in the currently processed allocation plan and its corresponding battery swapping vehicle, perform the following steps to obtain multiple charging conversion efficiencies of the battery compartment: obtain the actual charged battery power of the currently processed first battery and the maximum chargeable battery power of the battery compartment to which the first battery belongs; and determine the charging conversion efficiency of the battery compartment according to the actual charged battery power and the maximum chargeable battery power; Determine the comprehensive charging conversion efficiency of the battery compartment of the first battery swapping station according to the multiple charging conversion efficiencies of the battery compartment; Determine the comprehensive fitness of each allocation plan according to the preset weight coefficient, the comprehensive degree of satisfaction of the required mileage and the comprehensive charging conversion efficiency of the battery compartment.

5. The method according to claim 4, wherein The step of determining the comprehensive degree of satisfaction of the required mileage of the first battery swapping station according to the multiple degrees of satisfaction of the required mileage includes: Determine the first quantity of the multiple degrees of satisfaction of the required mileage that is 1; Determine the second quantity of the multiple degrees of satisfaction of the required mileage; Determine the comprehensive degree of satisfaction of the required mileage of the first battery swapping station according to the first quantity and the second quantity.

6. The method according to claim 2, characterized in that, The step of determining the maximum chargeable battery power of the battery compartment under continuous charging conditions according to the first supercharging curve and the expected battery swapping time includes: Determine the average charging speed of the state of charge (SOC) in the reference SOC section according to the first supercharging curve, and the reference SOC section is the high-frequency charging section obtained by statistical analysis of historical charging data; Determine the maximum chargeable battery power of the battery compartment under continuous charging conditions according to the average charging speed and the duration between the current system time and the expected battery swapping time.

7. The method according to any one of claims 1-6, characterized in that, The step of determining the battery swapping demand information allocated to the first battery swapping station includes: Obtain multiple battery swapping demand information from multiple battery swapping demand side terminals, where the battery swapping demand side terminals include the in-vehicle terminal of the vehicle to be battery swapped or the mobile terminal that registers the vehicle to be battery swapped; Obtain the remaining available mileage of the vehicle to be battery swapped and the location information of the battery swapping demand side terminal; Obtain the reference position range mapped by the location information of the first battery swapping station; Screen out the first battery swapping demand information from the multiple battery swapping demand information, where the location information is within the reference position range and the remaining available mileage can reach the first battery swapping station; Determine whether the difference between the number of the first battery swapping demand information and the number of the first batteries of the first battery swapping station is less than a preset value; If it is detected that the value is less than the preset value, mark the first battery swapping demand information as the battery swapping demand information assigned to the first battery swapping station; If it is detected that the value is not less than the preset value, obtain the battery swapping load status of the second battery swapping station adjacent to the first battery swapping station; and, determine the battery swapping demand information assigned to the first battery swapping station in the first battery swapping demand information according to the battery swapping load status, the remaining available mileage of the vehicle to be battery swapped, the location information of the battery swapping demand side terminal, and the location information of the second battery swapping station.

8. The method according to claim 7, wherein The battery swapping load status is used to characterize the reservation status and battery status of the second batteries of the second battery swapping station; the determining the battery swapping demand information assigned to the first battery swapping station in the first battery swapping demand information according to the battery swapping load status, the remaining available mileage of the vehicle to be battery swapped, the location information of the battery swapping demand side terminal, and the location information of the second battery swapping station includes: Determine at least one vehicle to be battery swapped that can drive to the second battery swapping station according to the remaining available mileage of the vehicle to be battery swapped, the location information of the battery swapping demand side terminal, and the location information of the second battery swapping station; Determine the battery status of the unreserved batteries of the second battery swapping station according to the battery swapping load status; Determine one or more vehicles to be battery swapped that can reach the state of being able to swap batteries immediately upon arrival at the station among the at least one vehicle to be battery swapped according to the battery status of the unreserved batteries; Determine that the first battery swapping demand information after excluding the one or more vehicles to be battery swapped from the first battery swapping demand information is the battery swapping demand information assigned to the first battery swapping station.

9. The method according to claim 8, wherein The determining one or more vehicles to be battery swapped that can reach the state of being able to swap batteries immediately upon arrival at the station among the at least one vehicle to be battery swapped according to the battery status of the unreserved batteries includes: Determine the reference arrival time of each vehicle to be battery swapped among the one or more vehicles to be battery swapped at the second battery swapping station; Determine the power of each unreserved battery at the reference arrival time according to the battery status of the unreserved batteries; Mark the vehicle to be battery swapped with the power greater than the reference demand power as being able to reach the state of being able to swap batteries immediately upon arrival at the station.

10. An operation and maintenance system for a battery swapping station, characterized in that, Includes a server, a first local management terminal, and a battery swapping demand side terminal, where, The server is used to execute the steps performed by the server in any of the methods according to claims 1-9; The first local management terminal is configured to perform the steps performed by the first local management terminal in any one of the methods according to claims 1-9; The power replacement demand-side terminal is configured to perform the steps performed by the power replacement demand-side terminal in any one of the methods according to claims 1-9.

Images