In-station dispatching method and apparatus for battery-swapping station, and device and storage medium

Abstract

The present application relates to the technical field of battery-swapping station dispatching. Disclosed are an in-station dispatching method and apparatus for a battery-swapping station, and a device and a storage medium. The method comprises: acquiring a preset waiting time of an electric device in a target battery-swapping station, and decision variables and a plurality of battery-swapping optimization targets of the target battery-swapping station; determining variable constraint conditions of the decision variables of the target battery-swapping station on the basis of the preset waiting time; solving the plurality of battery-swapping optimization targets by means of the variable constraint conditions and the decision variables, so as to obtain a battery charging and swapping dispatching strategy for power supply batteries in the target battery-swapping station; and performing battery charging and swapping dispatching on the power supply batteries in the target battery-swapping station by means of the battery charging and swapping dispatching strategy. By taking into account a plurality of factors, battery charging and swapping behavior dispatching of batteries in a target battery-swapping station is quickly and accurately performed, thereby improving the accuracy and flexibility of in-station battery dispatching for battery-swapping stations.

Description

Battery swap station in-station scheduling method, device and equipment and storage medium

[0001] Priority information

[0002] The present application claims priority to the Chinese patent application No. 202410875701.3, filed on July 01, 2024, the entire content of which is incorporated herein by reference. TECHNICAL FIELD

[0003] The present application relates to the technical field of battery swap station scheduling, in particular to a battery swap station in-station scheduling method, device and equipment and storage medium. BACKGROUND

[0004] As a new energy service facility, the main profit mode of the battery swap station is to charge a certain battery swap fee (usually service fee + charging fee) from the battery swap vehicle owner. Therefore, how to reasonably arrange the battery charging and swapping plan of the battery swap station under the condition of meeting the vehicle battery swapping demand, that is, the battery charging and swapping scheduling problem of the battery swap station, has gradually become a problem that needs to be considered by the battery swap station operation company.

[0005] The current battery swap scheduling mainly focuses on the battery swap scheduling of the vehicle, that is, the problem of which battery swap station the vehicle goes to for battery swap. There is little research on the battery charging and swapping scheduling of the battery swap station, and most of them default to charging after swapping. When the battery swap demand is large, the waiting time of the vehicle will be additionally increased. Only when the vehicle is matched with the battery swap station, the relevant scheduling is performed, and the battery situation in the battery swap station is not considered. The scheduling scheme is not accurate and flexible enough. SUMMARY

[0006] The main purpose of the present application is to provide a battery swap station in-station scheduling method, device and equipment and storage medium, which aims to solve the technical problem of low accuracy and flexibility of battery scheduling in the battery swap station.

[0007] In a first aspect, the present application provides a battery swap station in-station scheduling method, which comprises:

[0008] obtaining a preset waiting time of the electric device at the target battery swap station, and a decision variable and a plurality of battery swap optimization objectives of the target battery swap station;

[0009] determining a variable constraint condition of the decision variable of the target battery swap station based on the preset waiting time;

[0010] solving the plurality of battery swap optimization objectives through the variable constraint condition and the decision variable, to obtain a charging and swapping scheduling strategy of the power supply battery in the target battery swap station;

[0011] charging and swapping the power supply battery in the target battery swap station through the charging and swapping scheduling strategy.

[0012] The embodiment provides a power swap station in-station scheduling method, which comprises the following steps: obtaining a preset waiting time of a power consumption device in a target power swap station, and decision variables and a plurality of power swap optimization objectives of the target power swap station; determining variable constraint conditions of the decision variables of the target power swap station based on the preset waiting time; solving the plurality of power swap optimization objectives through the variable constraint conditions and the decision variables, to obtain a charging and power swap scheduling strategy of power supply batteries in the target power swap station; and performing charging and power swap scheduling on the power supply batteries in the target power swap station through the charging and power swap scheduling strategy, so that the charging and power swap behaviors of the batteries in the target power swap station are quickly and accurately scheduled by considering a plurality of factors, and the accuracy and flexibility of the battery scheduling in the power swap station are improved.

[0013] In some embodiments, the step of solving the plurality of power swap optimization objectives through the variable constraint conditions and the decision variables to obtain the charging and power swap scheduling strategy of the power supply batteries in the target power swap station comprises:

[0014] establishing a plurality of objective functions according to the plurality of optimization objectives;

[0015] solving the plurality of objective functions through the variable constraint conditions and the decision variables to obtain the charging and power swap scheduling strategy of the power supply batteries in the target power swap station.

[0016] In the technical scheme of the embodiment, the plurality of objective functions are established according to the plurality of optimization objectives, the plurality of objective functions are solved through the variable constraint conditions and the decision variables, the power swap benefits of the power swap station are improved, the power swap demands of users are met, and the charging and power swap scheduling of the power supply batteries is accurately and flexibly performed.

[0017] In some embodiments, the step of solving the plurality of objective functions through the variable constraint conditions and the decision variables to obtain the charging and power swap scheduling strategy of the power supply batteries in the target power swap station comprises:

[0018] obtaining a preset weight coefficient;

[0019] determining a preset objective function from the plurality of objective functions through the preset weight coefficient;

[0020] solving the preset objective function through the preset weight coefficient, the variable constraint conditions and the decision variables to obtain the charging and power swap scheduling strategy of the power supply batteries in the target power swap station.

[0021] In the technical scheme of the embodiment, the preset weight coefficient is set to perform weight distribution on different optimization objectives, so that the preset objective function is determined, and the preset objective function is solved according to the preset weight coefficient, the variable constraint conditions and the decision variables, the charging and power swap scheduling strategy of the power supply batteries, and each power supply battery in the target power swap station is accurately scheduled according to the charging and power swap scheduling strategy, and the scheduling effect is improved.

[0022] In some embodiments, the step of obtaining the charging and swapping scheduling strategy of the power supply battery in the target swapping station by solving the preset target function through the preset weight coefficient, the variable constraint condition and the decision variable includes:

[0023] obtaining the swapping cost and the charging price;

[0024] obtaining the charging and swapping scheduling strategy of the power supply battery in the target swapping station by solving the preset target function through the preset weight coefficient, the swapping cost, the charging price, the variable constraint condition and the decision variable.

[0025] In the technical scheme of the embodiments of the present application, the multi-objective optimization problem is converted into a single-objective optimization problem by calculating through the preset weight coefficient, the swapping cost, the charging price, the variable constraint condition and the decision variable, so as to improve the swapping income of the swapping station while meeting the swapping demand of the user.

[0026] In some embodiments, the step of obtaining the charging and swapping scheduling strategy of the power supply battery in the target swapping station by solving the preset target function through the preset weight coefficient, the swapping cost, the charging price, the variable constraint condition and the decision variable includes:

[0027] obtaining the charging and swapping decision result of the power supply battery in the target swapping station by solving the user satisfaction target function in the preset target function through the preset weight coefficient, the decision variable and the variable constraint condition;

[0028] obtaining the charging time and / or the charging power of the power supply battery in the target swapping station by solving the swapping income target function in the preset target function through the swapping cost, the charging price and the decision variable;

[0029] obtaining the charging and swapping scheduling strategy of the power supply battery in the target swapping station through the charging and swapping decision result, the charging time and / or the charging power.

[0030] In the technical scheme of the embodiments of the present application, the preset weight coefficient is set to weight distribute different optimization targets, so as to solve the charging and swapping decision result of the power supply battery through the preset weight coefficient, the decision variable and the variable constraint condition, and to solve the swapping income target function through the swapping cost, the charging price and the decision variable, so as to obtain the charging strategy of the power supply battery, so as to accurately schedule each power supply battery in the target swapping station according to the charging and swapping decision result and the charging strategy, and improve the scheduling effect.

[0031] In some embodiments, the step of determining the variable constraint condition of the decision variable of the target swapping station based on the preset waiting time includes:

[0032] obtaining arrival power and battery swap power of the power-using equipment arriving at the target battery swap station at a target time, and current battery swap demand and power supply battery inventory information of the target battery swap station;

[0033] determining variable constraint conditions of the decision variable of the target battery swap station according to the arrival power, the battery swap power, the preset waiting time, the current battery swap demand, and the power supply battery inventory information.

[0034] In the technical solution of the embodiments of the present application, the variable constraint conditions of the decision variable of the target battery swap station are determined according to the obtained multiple factors, so that the multiple battery swap optimization objectives are solved through the variable constraint conditions and the decision variable, and the power supply batteries can be accurately and flexibly charged and swapped.

[0035] In some embodiments, the step of determining the variable constraint conditions of the decision variable of the target battery swap station according to the arrival power, the battery swap power, the preset waiting time, the current battery swap demand, and the power supply battery inventory information comprises:

[0036] respectively setting charge-discharge behavior constraint conditions of the power supply batteries, power supply battery swap power constraints, power supply battery charging and swapping capacity constraints, power supply battery cumulative swap power constraints, and battery swap quantity limits according to the preset waiting time, the current battery swap demand, the battery swap power, the arrival power, the decision variable, and the power supply battery inventory information;

[0037] determining the variable constraint conditions of the decision variable of the target battery swap station through the charge-discharge behavior constraint conditions, the power supply battery swap power constraints, the charging and swapping capacity constraints, the power supply battery cumulative swap power constraints, and the battery swap quantity limits.

[0038] In the technical solution of the embodiments of the present application, the constraint conditions of the vehicles during battery swapping and the constraint conditions of the power supply batteries during battery swapping or charging are set, so as to ensure the safety of charging and swapping of each power supply battery and improve the user experience during battery swapping.

[0039] In some embodiments, the step of obtaining the decision variable of the target battery swap station comprises:

[0040] The step of obtaining the decision variable of the target battery swap station comprises:

[0041] respectively setting a first variable indicating whether each power supply battery in the target battery swap station meets the vehicle battery swap demand in a corresponding time period, a binary variable, and a second variable indicating battery swap power and charging power;

[0042] obtaining the decision variable of the target battery swap station through the first variable, the binary variable, and the second variable.

[0043] In the technical solution of the embodiments of the present application, the decision variable of the power supply battery is set in advance, so as to accurately and flexibly charge and swap the power supply battery.

[0044] In some embodiments, the step of performing the charging and swapping scheduling on the power supply battery in the target swapping station by the charging and swapping scheduling strategy comprises:

[0045] When the charging and swapping scheduling strategy is to charge the power supply battery in the target swapping station, the charging time and / or the charging power are obtained;

[0046] The power supply battery is charged by the charging time and / or the charging power.

[0047] In the technical solution of the embodiments of the present application, the optimal charging time and charging power of the power supply battery can be obtained by the charging and swapping scheduling strategy, so that the power supply battery in the target swapping station is controlled to be charged at the optimal charging time and the optimal charging power. Under the premise of considering the swapping demand and the electricity price, the service quality of the swapping station is ensured, the utilization rate of the power resource is improved, and the charging cost is saved.

[0048] In some embodiments, the step of performing the charging and swapping scheduling on the power supply battery in the target swapping station by the charging and swapping scheduling strategy comprises:

[0049] When the charging and swapping scheduling strategy is to swap the power supply battery in the target swapping station, the swapping time sequence is obtained;

[0050] The power supply battery is controlled to swap the vehicle in the target swapping station by the swapping time sequence.

[0051] In the technical solution of the embodiments of the present application, the vehicle swapping time sequence can be determined according to the queuing or arrival of the vehicles in the target swapping station, so that the power supply battery is controlled to swap the vehicles in turn based on the swapping time sequence, the swapping demand of each vehicle is met, and the swapping effect is improved.

[0052] In some embodiments, the method further comprises:

[0053] It is detected whether the updated swapping demand of the power-consuming device at the target swapping station is received;

[0054] When the updated swapping demand is received, the charging and swapping scheduling strategy is updated by the updated swapping demand.

[0055] In the technical solution of the embodiments of the present application, when it is detected that the swapping demand of the power-consuming device changes, the charging and swapping scheduling strategy of the power supply battery is adjusted in real time, and the flexibility of the scheduling is improved.

[0056] In a second aspect, the embodiments of the present application further provide a swapping station in-station scheduling device, which comprises:

[0057] The obtaining module is configured to obtain the preset waiting time of the power-consuming device at the target swapping station, and the decision variable and the plurality of swapping optimization targets of the target swapping station.

[0058] determining a variable constraint condition of a decision variable of the target battery swap station based on a preset waiting time;

[0059] The acquisition module is further configured to solve a plurality of battery swap optimization objectives by using the variable constraint condition and the decision variable, and obtain a charging and swapping scheduling strategy of the power supply battery in the target battery swap station.

[0060] The scheduling module is configured to perform charging and swapping scheduling on the power supply battery in the target battery swap station according to the charging and swapping scheduling strategy.

[0061] In a third aspect, an embodiment of the present application further provides a battery swap station scheduling device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the battery swap station scheduling method.

[0062] In a fourth aspect, an embodiment of the present application further provides a storage medium, which is a computer readable storage medium, and the storage medium stores a computer program, and the computer program is executable by a processor to implement the steps of the battery swap station scheduling method.

[0063] In a fifth aspect, an embodiment of the present application further provides a computer program product, which comprises a computer program, and the computer program is executable by a processor to implement the steps of the battery swap station scheduling method. BRIEF DESCRIPTION OF DRAWINGS

[0064] The accompanying drawings, which are incorporated herein and constitute part of the specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0065] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the drawings needed in the embodiments or the prior art description will be briefly introduced as follows. Obviously, for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0066] FIG. 1 is a flowchart of an embodiment of a battery swap station scheduling method according to the present application;

[0067] FIG. 2 is another flowchart of an embodiment of a battery swap station scheduling method according to the present application;

[0068] FIG. 3 is another flowchart of an embodiment of a battery swap station scheduling method according to the present application;

[0069] FIG. 4 is a flow diagram of the battery charging and replacing scheduling of the power supply battery in an embodiment of the battery swapping station in-station scheduling method according to the present application;

[0070] FIG. 5 is another flow diagram of an embodiment of the battery swapping station in-station scheduling method according to the present application;

[0071] FIG. 6 is another flow diagram of an embodiment of the battery swapping station in-station scheduling method according to the present application;

[0072] FIG. 7 is a diagram of the overall flow of the battery swapping station in-station scheduling in an embodiment of the battery swapping station in-station scheduling method according to the present application;

[0073] FIG. 8 is a diagram of the battery swapping station in-station scheduling process in an embodiment of the battery swapping station in-station scheduling method according to the present application;

[0074] FIG. 9 is a diagram of the module structure of the battery swapping station in-station scheduling device according to the present application;

[0075] FIG. 10 is a diagram of the device structure of the hardware running environment involved in the battery swapping station in-station scheduling method according to the present application.

[0076] The purposes, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0077] It should be understood that the specific embodiments described herein merely exemplify the technical solutions of the present application, and are not intended to limit the present application.

[0078] In order to better understand the technical solutions of the present application, the embodiments of the technical solutions of the present application will be described in detail below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present application, and therefore only serve as examples, and cannot limit the protection scope of the present application.

[0079] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs; the terms used herein are only for the purpose of describing specific embodiments, and are not intended to limit the present application; the terms "include" and "have" and any variations thereof in the specification and claims of the present application and the above description of drawings are intended to cover non-exclusive inclusion.

[0080] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise specifically limited.

[0081] Reference to“an embodiment” or“the embodiment” herein means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase“in one embodiment” or“in another embodiment” or“in at least one embodiment” in various places in the specification are not necessarily referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly contemplated that embodiments described herein can be combined with each other, even though some embodiments are not specifically mentioned or illustrated in combination with other embodiments.

[0082] In the description of the embodiments of the application, the term“and / or” only means an association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can mean that A exists alone, A and B exist together, and B exists alone. In addition, the character“ / ” herein generally means that the front and rear associated objects are in an“or” relationship.

[0083] In the description of the embodiments of the application, the term“a plurality of” means more than two (including two), and similarly, “a plurality of groups” means more than two groups (including two groups), and “a plurality of pieces” means more than two pieces (including two pieces).

[0084] In the description of the embodiments of the application, the technical terms“center”,“longitudinal”,“transverse”,“length”,“width”,“thickness”,“upper”,“lower”,“front”,“rear”,“left”,“right”,“vertical”,“horizontal”,“top”,“bottom”,“inner”,“outer”,“clockwise”,“counterclockwise”,“axial”,“radial”,“circumferential” and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the embodiments of the application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the embodiments of the application.

[0085] In the description of the embodiments of the application, unless otherwise explicitly specified and limited, the technical terms“mounting”,“connecting”,“connecting”,“fixing” and the like should be understood in a broad sense, for example, can be fixedly connected, or can be detachably connected, or can be integrated; can be mechanically connected, or can be electrically connected; can be directly connected, or can be indirectly connected through an intermediate medium; can be the internal communication of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meaning of the above terms in the embodiments of the application can be understood according to the specific circumstances.

[0086] With the popularity and promotion of electric vehicles, battery swap stations as a fast charging and battery replacement solution have received widespread attention. The battery charging and replacement scheduling method in the battery swap station refers to the method of scheduling and managing the battery charging and replacement operations in the battery swap station. Through optimization of the scheduling strategy, the station resources can be more efficiently utilized, the operation efficiency and service quality of the battery swap station can be improved, the operation cost can be reduced, and better charging and battery replacement experience can be provided for electric vehicle users. For a battery swap station, multiple factors are considered, including vehicle arrival time, battery replacement demand, battery inventory, availability of battery replacement equipment, etc. in the future period of time, and all battery packs in the station are scheduled for charging and battery replacement.

[0087] Currently, the existing battery swap station scheduling method mainly focuses on the scheduling related to the matching of vehicles and battery swap stations, and less on the charging and scheduling of batteries in the station. For example, a two-stage robust optimization model is constructed with the objective function of minimizing the charging cost and the average waiting time of vehicle battery replacement. The first stage matches vehicles and batteries, and the second stage outputs the charging plan of the target battery to complete the charging and battery replacement scheduling scheme. This method mainly focuses on the battery replacement scheduling of vehicles, i.e. the problem of where the vehicle goes to the battery swap station for battery replacement, and does not study the charging and battery replacement scheduling of batteries in the battery swap station. It is mostly assumed that the battery is charged immediately after replacement, which will increase the waiting time of the vehicle when the battery replacement demand is high, resulting in poor user experience.

[0088] To solve the above problems, the application concept is as follows: based on the battery swap station scenario, taking the battery replacement income as the main target, according to the preset waiting time of the electric device at the target battery swap station and the decision variables and multiple battery replacement optimization targets of the target battery swap station, the variable constraint condition of the decision variable of the target battery swap station is determined according to the preset waiting time, and the charging and battery replacement scheduling strategy of the power supply battery is obtained through the variable constraint condition and the decision variable, so as to schedule the charging and battery replacement behavior of the battery in the battery swap station, maximize the income of the battery swap station, and reduce the waiting time of the vehicle based on the principle of first come first served, and improve the vehicle battery replacement experience.

[0089] To achieve this purpose, the embodiment first determines the preset waiting time of the electric device at the target battery swap station and the decision variables and multiple battery replacement optimization targets of the target battery swap station, determines the variable constraint condition according to the preset waiting time, and determines the charging and battery replacement scheduling strategy of the power supply battery in the corresponding battery swap station. The charging and battery replacement scheduling strategy can be used to charge or replace each power supply battery, improving the scheduling effect of the power supply battery.

[0090] The execution subject of the embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, a station scheduling device in a battery swap station, etc. capable of realizing the above functions. The following will take the station scheduling device in a battery swap station as an example to describe the embodiment and each of the following embodiments.

[0091] In the embodiment, for the convenience of description, the following will take the station scheduling device in a battery swap station as the execution subject for elaboration.

[0092] In some embodiments of the present application, with reference to FIG. 1, the embodiment of the present application proposes a station scheduling method in a battery swap station, which can include:

[0093] Step S10: Obtain the preset waiting time of the power consuming device at the target battery swap station and the decision variable and multiple battery swap optimization targets of the target battery swap station.

[0094] It should be noted that the power consuming device is a device that needs to be swapped at the target battery swap station, such as electric vehicles (electric cars, electric bicycles), heavy truck vehicles, different types of power banks, etc. The target battery swap station is the battery swap station that the power consuming device is about to go to for battery swap. If the number of power consuming devices is multiple, since the power consumption habits of each power consuming device and the power consumption of the power consuming device are different, the target battery swap station of the power consuming device for battery swap can be the same or different, therefore, the number of target battery swap stations can be multiple.

[0095] The preset waiting time is the longest queuing waiting time of the power consuming device. When there are many battery swap devices queuing in the station, a certain waiting or queuing time can be set for the battery swap device, i.e. the demand at time t is met within the preset waiting time.

[0096] It should be noted that in order to accurately and flexibly schedule the charging and battery swap of the power supply battery, it is necessary to decide whether the power supply battery is charged or swapped, at what power it is charged, and which power consuming device is swapped, therefore, the decision variable of the target battery swap station can be set in advance.

[0097] In specific implementation, the battery swap revenue of the next day can be the main target, and the user satisfaction can be the secondary target, and other optimization targets can also be set, thereby obtaining multiple battery swap optimization targets.

[0098] The power consuming device is loaded with multiple batteries, for example, a vehicle that needs to consume power needs to be swapped at an intermediate point during driving if the destination is far away. In order to improve the battery swap effect, the charging and battery swap of the power supply battery in the target battery swap station can be scheduled in advance, thereby avoiding the situation that the vehicle cannot be timely swapped at the battery swap station at a future time.

[0099] Step S20: determining the variable constraint condition of the decision variable of the target battery swap station based on the preset waiting time.

[0100] In specific implementations, the variable constraint condition of the decision variable of the target battery swap station can be determined based on the preset waiting time and other parameters, for example, the constraint condition of the decision variable of the target battery swap station is determined according to the preset waiting time and the predicted battery swap demand of the target battery swap station in the future time period or the current battery swap demand of the target battery swap station. The variable constraint condition can be multiple, and the variable constraint conditions corresponding to different scenarios are different.

[0101] Step S30: solving a plurality of battery swap optimization objectives through the variable constraint condition and the decision variable to obtain the charging and battery swap scheduling strategy of the power supply battery in the target battery swap station.

[0102] In specific implementations, the charging and battery swap scheduling strategy of the power supply battery in the target battery swap station can be determined through the variable constraint condition and the decision variable, specifically, each battery swap optimization objective in the plurality of battery swap optimization objectives is solved through the variable constraint condition and the decision variable, so as to obtain the charging and battery swap scheduling strategy of the power supply battery in the target battery swap station.

[0103] The power supply battery is a battery for battery swap of the electric device in the target battery swap station, and the power supply battery can be a battery pack or a single battery block, which can be selected according to specific battery swap requirements.

[0104] The charging and battery swap scheduling strategy is a charging and battery swap scheduling strategy for the power supply battery, which can include calling part of the power supply battery for battery swap, i.e., using the power supply battery for vehicle battery swap, calling part of the power supply battery for charging, which can be an empty battery swapped by the electric device or a battery with power that cannot meet the user's battery swap power requirement. The charging and battery swap scheduling strategy can also include calling all power supply batteries for battery swap of the electric device or calling all batteries for charging at the charging device.

[0105] It should be noted that the specific charging and battery swap scheduling strategy can be flexibly adjusted according to the requirements of the electric device in the target battery swap station and the predicted battery swap demand of the electric device.

[0106] Step S40: charging and battery swap scheduling of the power supply battery in the target battery swap station through the charging and battery swap scheduling strategy.

[0107] It should be noted that the power supply batteries in the target battery swap station can be scheduled by the charging and swapping scheduling strategy. For example, the power supply batteries in the target battery swap station include 20 empty batteries and 100 full batteries, the battery swapping demand of the vehicles in the target battery swap station is 30 batteries, and the predicted battery swapping demand of the power consumption equipment is 90 batteries. The charging and swapping scheduling strategy can be that 30 full power supply batteries swap the power consumption equipment in the target battery swap station, 70 full power supply batteries swap the power consumption equipment after the power consumption equipment arrives at the target battery swap station, and 20 empty batteries are charged by the charging equipment at a preset time and at a preset power for the power consumption equipment to swap after arriving at the target battery swap station.

[0108] The embodiment provides a battery swap station internal scheduling method. The battery swap station internal scheduling method comprises the following steps: obtaining a preset waiting time of power consumption equipment at a target battery swap station, and decision variables and a plurality of battery swapping optimization targets of the target battery swap station; determining variable constraint conditions of the decision variables of the target battery swap station based on the preset waiting time; solving the plurality of battery swapping optimization targets by the variable constraint conditions and the decision variables to obtain a charging and swapping scheduling strategy of power supply batteries in the target battery swap station; and scheduling the power supply batteries in the target battery swap station by the charging and swapping scheduling strategy. By considering a plurality of factors, the charging and swapping behavior of the batteries in the target battery swap station is quickly and accurately scheduled, and the accuracy and flexibility of the battery scheduling in the battery swap station are improved.

[0109] In some embodiments, when determining the charging and swapping scheduling strategy of the power supply batteries in the target battery swap station, different optimization targets need to be considered. Therefore, referring to FIG. 2, step S30 can comprise the following steps:

[0110] Step S301: establishing a plurality of objective functions according to a plurality of optimization targets.

[0111] It should be noted that different objective functions can be established according to different optimization targets. For example, the optimization targets include the battery swapping revenue in the future one day, user satisfaction, and the minimum battery swapping cost, and the corresponding objective functions are established according to the specific optimization targets.

[0112] Step S302: solving the plurality of objective functions by the variable constraint conditions and the decision variables to obtain the charging and swapping scheduling strategy of the power supply batteries in the target battery swap station.

[0113] It can be understood that the variable constraint conditions include the constraints on the charging and swapping behavior of the power supply batteries, the constraints on the battery swapping quantity of the power supply batteries, the constraints on the chargeable and swappable capacity of the power supply batteries, the cumulative discharge quantity of the power supply batteries, and the discharge quantity of the power supply batteries. Therefore, each objective function in the plurality of objective functions can be solved by the variable constraint conditions and the decision variables, so as to obtain the charging and swapping scheduling strategy of the power supply batteries.

[0114] In the technical solution of the embodiment of the application, multiple objective functions are established through multiple optimization objectives, and the multiple objective functions are solved through variable constraint conditions and decision variables, so that the power supply battery can be accurately and flexibly scheduled for charging and battery replacement while improving the battery replacement income of the battery replacement station and meeting the battery replacement demand of the user.

[0115] In some embodiments, the step of solving the multiple objective functions through the variable constraint conditions and the decision variables to obtain the charging and battery replacement scheduling strategy of the power supply battery in the target battery replacement station includes:

[0116] Step A10: Obtain a preset weight coefficient.

[0117] It should be noted that the preset weight coefficient can be set according to requirements, for example, set to 0.8, 0.6, etc., and the embodiment does not limit this.

[0118] Step A20: Determine a preset objective function from the multiple objective functions through the preset weight coefficient.

[0119] It can be understood that the preset objective function can be determined from the multiple objective functions through the weight coefficient, and the preset objective function can include a battery replacement income objective function, a user satisfaction objective function, and can also include other objective functions, such as a queuing time objective function, a battery replacement waiting time objective function, etc.

[0120] Step A30: Solve the preset objective function through the preset weight coefficient, the variable constraint condition, and the decision variable to obtain the charging and battery replacement scheduling strategy of the power supply battery in the target battery replacement station.

[0121] In a specific implementation, one or more of the preset objective functions can be solved through the preset weight coefficient, the variable constraint condition, and the decision variable, and the different weights are allocated to change into a single objective optimization problem, which is easier to solve, so as to obtain the charging and battery replacement scheduling strategy of the power supply battery in the target battery replacement station.

[0122] Further, step A30 can include: obtaining a battery replacement cost and a charging price; solving the preset objective function through the preset weight coefficient, the battery replacement cost, the charging price, the variable constraint condition, and the decision variable to obtain the charging and battery replacement scheduling strategy of the power supply battery in the target battery replacement station.

[0123] The battery replacement cost can be calculated according to the battery replacement demand and the price per degree of electricity, and the charging price can be calculated according to the city power price p i , the charging power c k,i , and the decision frequency Δ.

[0124] In practical implementation, one or more objective functions can be solved by pre-setting weighting coefficients, battery swapping costs, charging prices, variable constraints, and decision variables to obtain the charging and swapping scheduling strategy for the power supply battery. By calculating using pre-set weighting coefficients, battery swapping costs, charging prices, variable constraints, and decision variables, the multi-objective optimization problem is transformed into a single-objective optimization problem, thereby improving the battery swapping revenue of battery swapping stations while meeting users' battery swapping needs.

[0125] In one feasible approach, the steps to obtain the charging and swapping scheduling strategy for the target battery swapping station's power supply batteries include: solving a preset objective function by pre-setting weighting coefficients, battery swapping costs, charging prices, variable constraints, and decision variables.

[0126] The user satisfaction objective function in the preset objective function is solved by pre-setting weighting coefficients, decision variables, and variable constraints to obtain the charging and swapping decision results of the power supply batteries in the target battery swapping station; the battery swapping revenue objective function in the preset objective function is solved by swapping costs, charging prices, and decision variables to obtain the charging time and / or charging power of the power supply batteries in the target battery swapping station; and the charging and swapping scheduling strategy of the power supply batteries in the target battery swapping station is obtained based on the charging and swapping decision results, charging time, and / or charging power.

[0127] It should be noted that user satisfaction in the preset battery swapping optimization objective can be solved by presetting weight coefficients, decision variables, and variable constraints, thereby obtaining the charging and swapping decision results of the power supply battery.

[0128] The charging / swapping decision for the power supply battery includes charging or swapping the power supply battery.

[0129] In practical implementation, the process of solving the user satisfaction objective function in the preset battery swapping optimization objective by setting weight coefficients, decision variables, and variable constraints is as follows: Equation 1:

[0130] In Equation 1 above, α is a preset weighting coefficient.

[0131] The process of solving the objective function of battery swapping revenue in the preset battery swapping optimization objective by considering battery swapping costs, charging prices, and the amount of battery swapping in the decision variables is as follows: Equation 2:

[0132] In Equation 2 above, sellprice is the battery swapping cost, and DC is the current cost. k,i To exchange for power, Δ*c k,i *p i The electricity price for charging.

[0133] The preset weight coefficient is set to weight allocate different optimization targets, so that the preset weight coefficient, the decision variable and the variable constraint condition are used to solve the charging and swapping decision result of the power supply battery, and the swapping cost, the charging price and the decision variable are used to solve the swapping income target function, so that the charging strategy of the power supply battery is obtained, so that each power supply battery in the target swapping station can be accurately scheduled according to the charging and swapping decision result and the charging strategy, and the scheduling effect is improved.

[0134] In the technical scheme of the embodiment of the application, the preset weight coefficient is set to weight allocate different optimization targets, so that the preset target function is determined, and the preset weight coefficient, the variable constraint condition and the decision variable are used to solve the preset target function. The charging and swapping scheduling strategy of the power supply battery can accurately schedule each power supply battery in the target swapping station according to the charging and swapping scheduling strategy, and the scheduling effect is improved.

[0135] In some embodiments, when determining the charging and swapping scheduling strategy of the power supply battery in the target swapping station, the swapping demand of the power consumption equipment, the swapping demand in the target swapping station and the inventory information of the battery also need to be considered. Therefore, referring to FIG. 3, step S20 can include:

[0136] Step S201: Obtain the arrival power and the swapping power of the power consumption equipment arriving at the target swapping station at a target time, and the current swapping demand of the target swapping station and the inventory information of the power supply battery.

[0137] It should be noted that the target time is a future time, the arrival power of the power consumption equipment arriving at the target swapping station at the target time is the remaining power of the power consumption equipment, and the swapping power is the battery power that needs to be swapped by the power consumption equipment.

[0138] Since the number of times of swapping and the demand in each period are different, accurate charging and swapping scheduling is considered, the SOC power of each power consumption equipment arriving is different, the power supply battery for swapping is generally 95% power or full power, and the specific SOC demand specified by the power consumption equipment can also be considered. This embodiment does not limit this, and this embodiment is described by taking 95% as an example.

[0139] The current swapping demand of the target swapping station is the swapping demand in the target swapping station at the current time, the current swapping demand is the number of batteries of the swapping equipment in the swapping station, and the inventory information of the power supply battery is the number of full power batteries in the target swapping station.

[0140] Step S202: Determine the variable constraint condition of the decision variable of the target swapping station according to the arrival power, the swapping power, the preset waiting time, the current swapping demand and the inventory information of the power supply battery.

[0141] In specific implementations, when formulating the power supply battery charging and replacing scheduling strategy, the current battery replacing demand and the power supply battery inventory information in the target battery replacing station at the current time are also considered, so that the power supply battery charging and replacing decision is more accurate.

[0142] In specific implementations, the above parameters can be modeled in advance to establish a power supply battery charging and replacing scheduling model, so that when the power supply battery is scheduled, the optimal charging and replacing scheduling strategy is directly output, as shown in FIG. 4. FIG. 4 is a flowchart of the power supply battery charging and replacing scheduling. The future vehicle demand of each period is obtained, specifically including the arrival period, the arrival SOC, the specific replacing amount, that is, the target SOC, and the waitable time length. The charging and replacing scheduling model is used for charging and replacing scheduling, so as to obtain the charging and replacing behavior of the battery in each period in the target battery replacing station: whether to charge, the charging power, the charging time, whether to replace, and which vehicle to replace.

[0143] It should be noted that, assuming that there are N power supply batteries, the decision frequency is Δ, the decision length is L, the power supply battery charging can be flexibly charged, that is, it is constant power charging in each decision period, the power of different periods can be adjusted, and the battery replacing can be regarded as discharging of the same battery. The SOC of the arrived power consumption device at all times is expressed in the following formula 3: S={s lj ,l=1,...,L,j=1,...,n l} (Formula 3)

[0144] In the above formula 3, n l represents the number of replacing devices arriving in the lth period. Similarly, the specific replacing amount of the arrived power consumption device at all times is expressed in the following formula 4: D={d lj ,l=1,...,L,j=1,...,n l} (Formula 4)

[0145] The wait time round can be constrained by setting an additional parameter wait. Therefore, the preset waiting time of the user is at most wait x Δ. The user can specify the specific waiting time, for example, set the preset waiting time to a fixed time length, for example, 20 min.

[0146] In the technical scheme of the embodiments of the present application, the variable constraint condition of the decision variable of the target battery replacing station is determined by the obtained multiple factors, so that the multiple battery replacing optimization objectives are solved by the variable constraint condition and the decision variable, and the power supply battery charging and replacing scheduling can be accurately and flexibly performed.

[0147] In some embodiments, step S202 includes:

[0148] Step B10: setting the charging and discharging behavior constraint condition of the power supply battery, the power supply battery swap quantity constraint, the power supply battery charging and swapping capacity constraint, the power supply battery cumulative swap quantity constraint and the battery swap quantity limit according to the preset waiting time, the current swap demand, the swap quantity, the arrival power, the decision variable and the power supply battery inventory information respectively.

[0149] It should be noted that one or more of the preset waiting time, the current swap demand, the swap quantity, the arrival power, the decision variable and the power supply battery inventory information can be used to set the charging and discharging behavior constraint condition of the power supply battery, the power supply battery swap quantity constraint, the power supply battery charging and swapping capacity constraint, the power supply battery cumulative swap quantity constraint and the battery swap quantity limit respectively.

[0150] It should be noted that the charging and discharging behavior constraint condition is a limit on the charging and discharging behavior of the power supply battery, and the charging and discharging behavior constraint condition can be set by the preset waiting time and the current swap demand. The charging and discharging behavior constraint condition is represented as follows:

[0151] Each power supply battery can only swap once per period, as shown in the following formula 5:

[0152] For any k, i (formula 5)

[0153] Each swap demand can only have one power supply battery swap, as shown in the following formula 6:

[0154] For any l, i (formula 6)

[0155] At any time, any power supply battery cannot be charged when swapping, i.e. the charging power is 0, which is represented as follows:

[0156] For any k, i (formula 7)

[0157] In the above formula 7, is the charging power.

[0158] It can be understood that the power supply battery swap quantity constraint can be set by the swap quantity and the decision variable, which is represented as follows:

[0159] For any k, i (formula 8)

[0160] In the above formula 8, dc k,i is the swap quantity of the kth battery at the ith time, d l,j is the lth, jth swap demand.

[0161] The power supply battery charging and swapping capacity constraint can be set by the arrival power and the decision variable, which is represented as follows:

[0162] In formula 9 above, cap is the power supply battery capacity, initial soc is socinit, soc upper limit for charging is soc1, soc upper limit for replacing is soc2, and the power supply battery power is greater than the power of the power consumption device battery when the decision is to replace.

[0163] In specific implementation, the power supply battery cumulative replacement power constraint can be set according to the current replacement demand and replacement power, and is expressed as formula 10 as follows:

[0164] For any i (formula 10)

[0165] The battery replacement number limit can be set according to the power supply battery inventory information. Due to the replacement device limit, at most the battery replacement number threshold batteries are discharged per period, for example, 15, 20, etc., and is expressed as formula 11 as follows:

[0166] For any i (formula 11)

[0167] In formula 11 above, servenum is the battery replacement number threshold.

[0168] Step B11: determining the variable constraint condition of the decision variable of the target replacement station through the charge-discharge behavior constraint condition, the power supply battery replacement power constraint, the charging and replacing capacity constraint, the power supply battery cumulative replacement power constraint, and the battery replacement number limit.

[0169] In specific implementation, the variable constraint condition of the decision variable of the target replacement station can be determined through at least one of the charge-discharge behavior constraint condition, the power supply battery replacement power constraint, the charging and replacing capacity constraint, the power supply battery cumulative replacement power constraint, and the battery replacement number limit, for example, the charge-discharge behavior constraint condition, the power supply battery replacement power constraint, the charging and replacing capacity constraint, the power supply battery cumulative replacement power constraint, and the battery replacement number limit are all used as the variable constraint condition of the decision variable, so as to more accurately generate the charging and replacing behavior of the power supply battery, improve the charging and replacing scheduling effect of the power supply battery, and accurately match the power supply battery and the vehicle.

[0170] In the technical solution of the embodiments of the present application, by setting the constraint condition of the vehicle when replacing and the constraint condition of the power supply battery when replacing or charging, the use experience of the user when replacing is improved while ensuring the safety of the charging and replacing of each power supply battery.

[0171] In some embodiments, the step of obtaining the decision variable of the target replacement station can include:

[0172] The first variable, the binary variable, and the second variable of whether each power supply battery in the target replacement station meets the vehicle replacement demand in the corresponding period are respectively set;

[0173] The decision variable of the target battery swap station is obtained through the first variable, the binary variable, and the second variable.

[0174] It should be noted that the first variable of whether the power supply battery in each target battery swap station meets the power consumption equipment battery swap demand in the corresponding period can be set respectively, that is, whether the kth battery meets the l,jth battery swap demand di,j in the ith period i,j The binary variable is I k,i,l,j , where 1 represents battery swap, and 0 represents charging. The second variable of the battery swap amount and the second variable of the point kilometer are the battery swap amount dci of the kth battery at the ith moment k,i The charging power is c k,i .

[0175] In specific implementation, the first variable, the binary variable, and the second variable can be used as the decision variable of the power supply battery in the target battery swap station.

[0176] In the technical solution of the embodiment of the application, the decision variable of the power supply battery is set in advance, so that the charging and battery swap of the power supply battery is accurately and flexibly scheduled.

[0177] In some embodiments, the scheduling of the power supply battery is different for different charging and battery swap behaviors. Referring to FIG. 5, step S40 can include:

[0178] Step S401: When the charging and battery swap scheduling strategy is to charge the power supply battery in the target battery swap station, the charging moment and / or the charging power are obtained.

[0179] It should be noted that when the charging and battery swap scheduling strategy is to charge part or all of the power supply battery, the charging and battery swap scheduling strategy has generated the optimal charging moment and / or the optimal charging power in advance, so the charging moment and / or the charging power can be obtained.

[0180] Step S402: The power supply battery is charged through the charging moment and / or the charging power.

[0181] In specific implementation, the power supply battery can be charged through the charging moment and / or the charging power, for example, the power supply battery is charged at the optimal charging moment, or the power supply battery is charged at the charging power, or the power supply battery is charged at the charging moment and the charging power, so that the power supply battery that needs to be charged is charged in time, and the income of the battery swap station is maximized.

[0182] In the technical solution of the embodiment of the application, the optimal charging moment and the charging power of the power supply battery can be obtained through the charging and battery swap scheduling strategy, so that the power supply battery in the target battery swap station is controlled to be charged at the optimal charging moment and the optimal charging power. Under the premise of considering the battery swap demand and the electricity price, the service quality of the battery swap station is ensured, the utilization rate of the power resource is improved, and the charging cost is saved.

[0183] In some embodiments, the scheduling of the power supply batteries is different for different charging and battery swapping behaviors. Referring to FIG. 6, step S40 can include:

[0184] Step S401': when the charging and battery swapping scheduling strategy is to swap the power supply batteries in the target battery swapping station, the battery swapping timing is obtained.

[0185] It can be understood that when the charging and battery swapping scheduling strategy is to swap part or all of the power supply batteries, the battery swapping timing, i.e., the battery swapping time arranged for each power supply battery, can be obtained according to the arrival time of the battery swapping vehicle matched with the power supply battery.

[0186] Step S402': the power supply batteries are controlled to swap the vehicles in the target battery swapping station according to the battery swapping timing.

[0187] In a specific implementation, the power supply batteries can be controlled to swap the vehicles arriving at the target battery swapping station in sequence according to the battery swapping timing.

[0188] In some embodiments, after the charging and battery swapping scheduling strategy of each power supply battery is arranged, it is also necessary to detect in real time whether the battery swapping demand needs to be updated, for example, a vehicle with a reservation cancels the battery swapping plan temporarily, or there is a deviation in the demand prediction and timely adjustment is needed, and then the battery swapping station scheduling method further includes:

[0189] It is detected whether an updated battery swapping demand of the power consumer at the target battery swapping station is received.

[0190] When the updated battery swapping demand is received, the charging and battery swapping scheduling strategy is updated according to the updated battery swapping demand.

[0191] It should be noted that it can be detected whether an updated battery swapping demand of the power consumer at the target battery swapping station is received, for example, a vehicle cancels a reservation for battery swapping or there is a deviation in the battery swapping demand prediction of the vehicle, and the user updates the battery swapping demand.

[0192] When the updated battery swapping demand is received, the charging and battery swapping scheduling strategy needs to be updated according to the updated battery swapping demand. Specifically, the battery swapping demand of the power consumer in a future time period can be updated, so that the charging and battery swapping scheduling strategy is updated and the real-time performance of the scheduling is improved.

[0193] By detecting the change in the battery swapping demand of the power consumer and adjusting the charging and battery swapping scheduling strategy of the power supply batteries in real time, the flexibility of the scheduling is improved.

[0194] As shown in FIG. 7, FIG. 7 is a schematic diagram of the overall flow of the station scheduling method of the battery swap station. At the current time T, the vehicle demand of each period in the future T+N is obtained, so as to execute the charging and swapping scheduling model according to the power equipment demand, generate the charging and swapping scheduling strategy of the target battery swap station, and issue the charging and swapping scheduling strategy. At the future time T+1, the scheduling result of the next period is executed. The battery that needs to be charged is charged at a specific power, the specified battery is used for the power equipment that arrives to be swapped, and it is judged whether to update the battery swap demand between T+1 and T+N. If it needs to be updated, the step of obtaining the power equipment battery swap demand is returned. The power equipment battery swap demand is updated, and the charging and swapping scheduling strategy of the power supply battery is adjusted in time.

[0195] As shown in FIG. 8, FIG. 8 is a schematic diagram of the battery scheduling process in the station of the battery swap station. The station of the battery swap station includes a battery to be charged and a full battery. The power equipment swaps in the full battery, the empty battery is swapped out, and the full battery is swapped into the vehicle. The current battery swap demand in the station of the battery swap station can be determined according to the number of queued vehicles, and the empty battery swapped out by the power equipment can be placed in the battery to be charged according to the charging and swapping scheduling strategy, and transported to the charging facility for charging. The power supply battery arranged for the power equipment that arrives at the future time to be charged can continue to be placed in the full battery until the power equipment arrives to be swapped.

[0196] In the technical scheme of the embodiment of the application, the power equipment swap timing can be determined according to the power equipment queuing or arrival condition in the target battery swap station, so as to control the power supply battery to swap the power equipment in turn based on the swap timing, meet the swap demand of each power equipment, and improve the swap effect.

[0197] It should be noted that the above examples are only used for understanding the application and do not constitute a limitation on the station scheduling method of the battery swap station of the application. More forms of simple transformation based on this technical concept are within the protection scope of the application.

[0198] The application also provides a station scheduling device of a battery swap station. Please refer to FIG. 9. The station scheduling device of the battery swap station comprises:

[0199] The obtaining module 10 is configured to obtain the preset waiting time of the power equipment at the target battery swap station, and the decision variable and the plurality of swap optimization targets of the target battery swap station.

[0200] The determining module 20 is configured to determine the variable constraint condition of the decision variable of the target battery swap station based on the preset waiting time.

[0201] The obtaining module 10 is further configured to solve the plurality of swap optimization targets through the variable constraint condition and the decision variable, and obtain the charging and swapping scheduling strategy of the power supply battery in the station of the target battery swap station.

[0202] The scheduling module 30 is configured to perform charging and swapping scheduling on the power supply batteries in the target swapping station according to a charging and swapping scheduling strategy.

[0203] The swapping station internal scheduling device provided in the present application adopts the swapping station internal scheduling method in the above embodiments, and can solve the technical problem of low accuracy and flexibility of battery scheduling in the swapping station. Compared with the prior art, the swapping station internal scheduling device provided in the present application has the same beneficial effects as the swapping station internal scheduling method provided in the above embodiments, and other technical features in the swapping station internal scheduling device are the same as the features disclosed in the above embodiments, which will not be repeated here.

[0204] In an embodiment, the obtaining module 10 is further configured to establish a plurality of objective functions according to a plurality of optimization objectives; and solve the plurality of objective functions by using the variable constraint conditions and the decision variables to obtain the charging and swapping scheduling strategy of the power supply batteries in the target swapping station.

[0205] In an embodiment, the obtaining module 10 is further configured to obtain a preset weight coefficient; determine a preset objective function from the plurality of objective functions by using the preset weight coefficient; and solve the preset objective function by using the preset weight coefficient, the variable constraint conditions and the decision variables to obtain the charging and swapping scheduling strategy of the power supply batteries in the target swapping station.

[0206] In an embodiment, the obtaining module 10 is further configured to obtain a swapping cost and a charging price; and solve the preset objective function by using the preset weight coefficient, the swapping cost, the charging price, the variable constraint conditions and the decision variables to obtain the charging and swapping scheduling strategy of the power supply batteries in the target swapping station.

[0207] In an embodiment, the obtaining module 10 is further configured to solve a user satisfaction objective function in the preset objective function by using the preset weight coefficient, the decision variables and the variable constraint conditions to obtain a charging and swapping decision result of the power supply batteries in the target swapping station; solve a swapping revenue objective function in the preset objective function by using the swapping cost, the charging price and the decision variables to obtain a charging time and / or a charging power of the power supply batteries in the target swapping station; and obtain the charging and swapping scheduling strategy of the power supply batteries in the target swapping station by using the charging and swapping decision result, the charging time and / or the charging power.

[0208] In an embodiment, the determining module 20 is further configured to obtain an arrival power and a swapping power of a power consuming device arriving at the target swapping station at a target time, and current swapping demand and power supply battery inventory information of the target swapping station; and determine the variable constraint conditions of the decision variables of the target swapping station according to the arrival power, the swapping power, a preset waiting time, the current swapping demand and the power supply battery inventory information.

[0209] In an embodiment, the determination module 20 is further configured to set, according to the preset waiting time, the current battery swap demand, the battery swap amount, the arrival power, the decision variable, the charging and discharging behavior constraint condition of the power supply battery, the power supply battery swap amount constraint, the power supply battery charging and swapping capacity constraint, the power supply battery cumulative swap amount constraint, and the battery swap quantity limit, respectively; and determine the variable constraint condition of the decision variable of the target battery swap station through the charging and discharging behavior constraint condition, the power supply battery swap amount constraint, the charging and swapping capacity constraint, the power supply battery cumulative swap amount constraint, and the battery swap quantity limit.

[0210] In an embodiment, the acquisition module 10 is further configured to set, according to the first variable, the binary variable, and the second variable of whether each power supply battery in the target battery swap station meets the vehicle battery swap demand in the corresponding time period, respectively; and obtain the decision variable of the target battery swap station through the first variable, the binary variable, and the second variable.

[0211] In an embodiment, the scheduling module 30 is further configured to, when the charging and swapping scheduling strategy is to charge the power supply battery in the target battery swap station, acquire the charging time and / or the charging power; and charge the power supply battery through the charging time and / or the charging power.

[0212] In an embodiment, the scheduling module 30 is further configured to, when the charging and swapping scheduling strategy is to swap the power supply battery in the target battery swap station, acquire the swapping time sequence; and control the power supply battery to swap the vehicle in the target battery swap station through the swapping time sequence.

[0213] In an embodiment, the scheduling module 30 is further configured to detect whether an updated battery swap demand of the power consumption device at the target battery swap station is received; and update the charging and swapping scheduling strategy through the updated battery swap demand when the updated battery swap demand is received.

[0214] In addition, the present application provides a battery swap station in-station scheduling device, which comprises at least one processor and a memory in communication connection with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the battery swap station in-station scheduling method in the above-mentioned embodiment one.

[0215] Reference is made below to FIG. 10, which illustrates a structural diagram of a battery swapping station in-station dispatching device suitable for use in implementing embodiments of the present application. The battery swapping station in-station dispatching device in embodiments of the present application can include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDA (Personal Digital Assistant), PAD (Portable Application Description), PMP (Portable Media Player), car terminals (e.g., car navigation terminals), and the like, as well as fixed terminals such as digital TVs, desktop computers, and the like. The battery swapping station in-station dispatching device illustrated in FIG. 10 is merely an example and should not impose any limitation on the functions and scope of use of embodiments of the present application.

[0216] As shown in FIG. 10, the battery swapping station in-station dispatching device can include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, or the like) that can perform various appropriate actions and processes in accordance with a program stored in a ROM (Read Only Memory) 1002 or a program loaded from a storage device 1003 into a RAM (Random Access Memory) 1004. Various programs and data required for operation of the battery swapping station in-station dispatching device are also stored in the RAM 1004. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. An I / O (Input / Output) interface 1006 is also connected to the bus. In general, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, and the like; output devices 1008 including, for example, an LCD (Liquid Crystal Display), a speaker, a vibrator, and the like; the storage device 1003 including, for example, a magnetic tape, a hard disk, and the like; and a communication device 1009. The communication device 1009 can allow the battery swapping station in-station dispatching device to communicate wirelessly or by wire with other devices to exchange data. Although the battery swapping station in-station dispatching device is shown as having various systems, it should be understood that all of the illustrated systems are not required to be implemented or provided. More or fewer systems can alternatively be implemented or provided.

[0217] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing program code for executing the method shown in the flowchart. In such embodiments, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiments disclosed in the present application are executed.

[0218] The battery swapping station in-station scheduling device provided by the present application adopts the battery swapping station in-station scheduling method in the above-mentioned embodiments, and can solve the technical problem of low accuracy and flexibility of battery scheduling in the battery swapping station. Compared with the prior art, the beneficial effects of the battery swapping station in-station scheduling device provided by the present application are the same as those of the battery swapping station in-station scheduling method provided by the above-mentioned embodiments, and other technical features in the battery swapping station in-station scheduling device are the same as those disclosed in the previous embodiment method, which will not be repeated here.

[0219] It should be understood that various parts of the present application can be realized by hardware, software, firmware or a combination thereof. In the description of the above-mentioned embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0220] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application.

[0221] In addition, the present application provides a computer readable storage medium having stored thereon computer readable program instructions (i.e. computer program) for executing the battery swapping station in-station scheduling method in the above-mentioned embodiments.

[0222] The computer readable storage medium provided in the application may, for example, be a U disk, but is not limited to an electric, magnetic, optical, electromagnetic, infrared, or semiconductor system, system, or device, or any combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electric connection with one or more conductive wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the embodiment, the computer readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer readable storage medium can be transmitted by any suitable medium, including but not limited to an electric wire, an optical cable, an RF (Radio Frequency), and the like, or any suitable combination of the above.

[0223] The above computer readable storage medium can be contained in the station scheduling device of the battery swap station, or can exist separately without being assembled into the station scheduling device of the battery swap station.

[0224] The above computer readable storage medium carries one or more programs, when the one or more programs are executed by the station scheduling device of the battery swap station, the station scheduling device of the battery swap station: obtains a preset waiting time of the power consumption device at the target battery swap station and a decision variable and a plurality of battery swap optimization objectives of the target battery swap station; determines a variable constraint condition of the decision variable of the target battery swap station based on the preset waiting time; solves the plurality of battery swap optimization objectives through the variable constraint condition and the decision variable, to obtain a charging and swapping scheduling strategy of the power supply battery in the target battery swap station; and performs charging and swapping scheduling on the power supply battery in the target battery swap station through the charging and swapping scheduling strategy.

[0225] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0226] The flow diagrams and the block diagrams in the drawings are illustrations of architectures, functionalities, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of present application. In this regard, each block in the flow diagrams or block diagrams can represent a module, a segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block can occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently or the blocks may

[0227] The modules involved in the embodiments of the present application can be implemented in the form of software or in the form of hardware. In some cases, the name of the module does not constitute a limitation on the module itself.

[0228] The readable storage medium provided by the present application is a computer readable storage medium, which stores computer readable program instructions (i.e. computer program) for executing the above-mentioned battery station scheduling method, and can solve the technical problem of low accuracy and flexibility of battery scheduling in the battery station. Compared with the prior art, the computer readable storage medium provided by the present application has the same beneficial effects as the battery station scheduling method provided by the above-mentioned embodiments, which will not be described here.

[0229] In addition, the application further provides a computer program product comprising a computer program, which, when executed by a processor, implements the steps of the battery station intra-station scheduling method as described above.

[0230] The computer program product provided by the application can solve the technical problem of low accuracy and flexibility of battery scheduling in the battery station. Compared with the prior art, the beneficial effects of the computer program product provided by the application are the same as those of the battery station intra-station scheduling method provided by the above-mentioned embodiments, and are not described here.

[0231] The above is only some embodiments of the application, and does not limit the patent scope of the application. Any equivalent structural transformation made by using the content of the application specification and drawings, or direct / indirect application in other related technical fields is included in the patent protection scope of the application.

Claims

1. A method for in-station scheduling of a battery swap station, characterized in that, The method for scheduling in the battery swap station comprises the following steps: acquiring a preset waiting time of the power consumption equipment in the target battery swap station, and a decision variable and a plurality of battery swap optimization objectives of the target battery swap station; determining a variable constraint condition of the decision variable of the target battery swap station based on the preset waiting time; solving the plurality of battery swap optimization objectives through the variable constraint condition and the decision variable to obtain a charging and battery swap scheduling strategy of the power supply battery in the target battery swap station; scheduling the power supply battery in the target battery swap station through the charging and battery swap scheduling strategy.

2. The method of claim 1, wherein, The step of solving the plurality of battery swap optimization objectives through the variable constraint condition and the decision variable to obtain the charging and battery swap scheduling strategy of the power supply battery in the target battery swap station comprises the following steps: establishing a plurality of objective functions according to the plurality of optimization objectives; solving the plurality of objective functions through the variable constraint condition and the decision variable to obtain the charging and battery swap scheduling strategy of the power supply battery in the target battery swap station.

3. The method of claim 2, wherein, The step of solving the plurality of objective functions through the variable constraint condition and the decision variable to obtain the charging and battery swap scheduling strategy of the power supply battery in the target battery swap station comprises the following steps: acquiring a preset weight coefficient; determining a preset objective function from the plurality of objective functions through the preset weight coefficient; solving the preset objective function through the preset weight coefficient, the variable constraint condition and the decision variable to obtain the charging and battery swap scheduling strategy of the power supply battery in the target battery swap station.

4. The method of claim 3, wherein, The step of solving the preset objective function through the preset weight coefficient, the variable constraint condition and the decision variable to obtain the charging and battery swap scheduling strategy of the power supply battery in the target battery swap station comprises the following steps: acquiring a battery swap cost and a charging price; solving the preset objective function through the preset weight coefficient, the battery swap cost, the charging price, the variable constraint condition and the decision variable to obtain the charging and battery swap scheduling strategy of the power supply battery in the target battery swap station.

5. The method of claim 4, wherein, The step of solving the preset objective function through the preset weight coefficient, the battery swap cost, the charging price, the variable constraint condition and the decision variable to obtain the charging and battery swap scheduling strategy of the power supply battery in the target battery swap station comprises the following steps: solving a user satisfaction objective function in the preset objective function through the preset weight coefficient, the decision variable and the variable constraint condition to obtain a charging and battery swap decision result of the power supply battery in the target battery swap station; solving a battery swap income objective function in the preset objective function through the battery swap cost, the charging price and the decision variable to obtain a charging time and / or a charging power of the power supply battery in the target battery swap station; obtaining the charging and battery swap scheduling strategy of the power supply battery in the target battery swap station through the charging and battery swap decision result, the charging time and / or the charging power.

6. The method of claim 1, wherein, The step of determining the variable constraint condition of the decision variable of the target battery swap station based on the preset waiting time comprises the following steps: acquire arrival power and battery swap power of the power consuming device arriving at the target battery swap station at a target time, and current battery swap demand and power supply battery inventory information of the target battery swap station; determine variable constraint conditions of the decision variable of the target battery swap station according to the arrival power, the battery swap power, the preset waiting time, the current battery swap demand, and the power supply battery inventory information.

7. The method of claim 6, wherein, The step of determining the variable constraint conditions of the decision variable of the target battery swap station according to the arrival power, the battery swap power, the preset waiting time, the current battery swap demand, and the power supply battery inventory information comprises: respectively setting charge-discharge behavior constraint conditions, power supply battery battery swap power constraints, power supply battery charging and swapping capacity constraints, power supply battery cumulative battery swap power constraints, and battery swap quantity limits of the power supply battery according to the preset waiting time, the current battery swap demand, the battery swap power, the arrival power, the decision variable, and the power supply battery inventory information; determining the variable constraint conditions of the decision variable of the target battery swap station through the charge-discharge behavior constraint conditions, the power supply battery battery swap power constraints, the power supply battery charging and swapping capacity constraints, the power supply battery cumulative battery swap power constraints, and the battery swap quantity limits.

8. The method of any one of claims 1 to 7, wherein, The step of acquiring the decision variable of the target battery swap station comprises: respectively setting a first variable indicating whether each power supply battery in the target battery swap station meets the vehicle battery swap demand in a corresponding time period, a binary variable, and a second variable indicating battery swap power and charging power; obtaining the decision variable of the target battery swap station through the first variable, the binary variable, and the second variable.

9. The method of any one of claims 1 to 8, wherein, The step of performing charging and swapping scheduling on the power supply battery in the target battery swap station through the charging and swapping scheduling strategy comprises: when the charging and swapping scheduling strategy is to charge the power supply battery in the target battery swap station, acquiring a charging time and / or a charging power; charging the power supply battery through the charging time and / or the charging power.

10. The method of any one of claims 1 to 9, wherein, The step of performing charging and swapping scheduling on the power supply battery in the target battery swap station through the charging and swapping scheduling strategy comprises: when the charging and swapping scheduling strategy is to swap the power supply battery in the target battery swap station, acquiring a battery swap time sequence; controlling the power supply battery to swap the vehicle in the target battery swap station through the battery swap time sequence.

11. The method of any one of claims 1 to 10, wherein, The method further comprises: detecting whether an updated battery swap demand of the power consuming device at the target battery swap station is received; updating the charging and swapping scheduling strategy through the updated battery swap demand when the updated battery swap demand is received.

12. A battery replacement station in-station scheduling device, characterized in that, The device comprises: an acquisition module, configured to acquire a preset waiting time of a power consuming device at a target battery swap station, and a decision variable and a plurality of battery swap optimization targets of the target battery swap station; a determination module, configured to determine variable constraint conditions of the decision variable of the target battery swap station based on the preset waiting time; the acquisition module is further configured to solve the plurality of battery swap optimization targets through the variable constraint conditions and the decision variable, to obtain a charging and swapping scheduling strategy of a power supply battery in the target battery swap station; a scheduling module, configured to perform charging and swapping scheduling on the power supply battery in the target battery swap station through the charging and swapping scheduling strategy.

13. A battery replacement station in-station scheduling device, characterized by, The device comprises a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the battery swap station intra-station scheduling method according to any one of claims 1 to 11.

14. A storage medium, characterized by The storage medium is a computer readable storage medium, and the storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the battery swap station intra-station scheduling method according to any one of claims 1 to 11.

Images