Energy storage dynamic charging and discharging method and system

Abstract

The invention provides an energy storage dynamic charging and discharging method and system. The method comprises the steps that it is determined that a power supply relation is established between electric equipment and an energy storage assembly, the datum line loss rate of each energy storage unit included in the energy storage assembly is updated based on the equipment position of the corresponding electric equipment, and the current line loss rate is obtained; acquiring historical use data corresponding to each energy storage unit, and determining a healthy energy storage coefficient based on the current line loss rate and the historical use data; and performing unit sorting on the energy storage unit based on the healthy energy storage coefficient, and controlling the energy storage assembly to perform discharging operation on the electric equipment based on the obtained unit sequence. The equipment operation and maintenance cost is at least reduced.

Description

Technical Field

[0001] The present invention relates to data processing technologies, and in particular to a method and system for dynamic charging and discharging of energy storage. Background Art

[0002] Energy storage components are the core functional units in an energy storage system to achieve energy storage, management, and release. They are usually composed of multiple energy storage units and their supporting control and connection components, and can efficiently convert between forms such as electrical energy, chemical energy, and mechanical energy. They are widely used in scenarios such as electric transportation, new energy power generation, and power grid peak shaving. Taking the field of electric transportation as an example, energy storage components generally refer to the battery packs supporting charging piles, energy storage modules of battery swapping cabinets, or in-vehicle power battery packs. Their core role is to provide stable and efficient electrical energy supply for electrical equipment (such as electric vehicles), and at the same time support the bidirectional flow of energy (charging and discharging).

[0003] Currently, the control of equipment operation and maintenance costs of energy storage components is a key technical problem restricting their large-scale promotion. In the prior art, on the one hand, the performance of energy storage units is usually evaluated based on fixed reference parameters (such as rated line loss rate, preset life cycle), lacking accurate perception of the real-time operating state, and it is difficult to predict the risk of equipment aging or failure in advance, often resulting in over-maintenance or maintenance lag, increasing unnecessary operation and maintenance costs; on the other hand, there are defects in the resource scheduling strategy and equipment loss balancing mechanism. During the discharging process of existing energy storage components, a scheduling method of fixed priority or simple capacity matching is often adopted, without fully considering the actual health status and transmission efficiency differences of each energy storage unit, resulting in some high-loss and aging units being frequently called, exacerbating the performance decay of the equipment, shortening the overall service life, and thus driving up the replacement and maintenance costs.

[0004] Therefore, there is an urgent need to propose a method and system for dynamic charging and discharging of energy storage that can reduce energy loss and equipment operation and maintenance costs through dynamic optimization of resource allocation. Summary of the Invention

[0005] Based on the above problems, the present invention is proposed to provide a method and system for dynamic charging and discharging of energy storage that can overcome the above problems or at least partially solve the above problems.

[0006] According to one aspect of the present invention, there is provided a method for dynamic charging and discharging of energy storage, including the following steps: Determine that a power supply relationship is established between the electrical equipment and the energy storage component, and update the reference line loss rate of each energy storage unit included in the energy storage component based on the equipment location of the corresponding electrical equipment to obtain the current line loss rate; Obtain the historical usage data of each energy storage unit, and determine the healthy energy storage coefficient based on the current line loss rate and the historical usage data; Perform unit sorting on the energy storage units based on the healthy energy storage coefficient, and control the energy storage component to perform a discharging operation on the electrical equipment based on the obtained unit sequence.

[0007] Optionally, in the method according to the present invention, before determining that the electrical equipment establishes a power supply relationship with the energy storage component, it further includes: In response to the electrical equipment scanning any position marking code located in the energy storage site, determine the marking code element indicating the position marking code based on the upper view of the energy storage site, and generate a radiation area corresponding to a preset radiation range starting from the marking code element; Determine each energy storage element whose corresponding element state in the radiation area is in a vacant state, and superimpose the reference line loss rates of all energy storage units included in each energy storage component indicated by each energy storage element, and generate power supply recommendation data based on the obtained comprehensive line loss rate; Send the power supply recommendation data to the electrical equipment for display.

[0008] Optionally, in the method according to the present invention, generating power supply recommendation data based on the obtained comprehensive line loss rate includes: Establish a power supply recommendation display interface, which includes a first area for filling the upper view of the site, a second area for filling the radiation area, and a third area; Generate the same number of vertically arranged recommended areas corresponding to the number of elements corresponding to the energy storage elements in the third area. Each recommended area includes a horizontally arranged line loss slot and a specification slot; Determine an element frame based on the different divided element groups where the energy storage elements are located, and update the element frame based on the element states of other energy storage elements located in the same divided element group; Fill the comprehensive line loss rate into the line loss slots of different recommended areas in ascending order along the vertical arrangement direction, and fill the updated element frame into the corresponding specification slots.

[0009] Optionally, in the method according to the present invention, updating the element frame based on the element states of other energy storage elements located in the same divided element group includes: Divide each element frame to obtain sub-frames corresponding to each other energy storage element located in the same divided element group; In response to the element state of any other energy storage element being in a vacant state, retrieve a first marker to mark the sub-frame corresponding to the other energy storage element; In response to the element state of any other energy storage element being in an occupied state, retrieve a second marker to mark the sub-frame corresponding to the other energy storage element.

[0010] Optionally, in the method according to the present invention, the method further includes: Obtaining the sub - quantity of sub - frames included in each element frame, and configuring different benchmark recommended values for different sub - quantities, where the benchmark recommended value decreases as the sub - quantity increases; In response to the existence of other energy storage elements with an occupied state in any divided element group, obtaining the occupied quantity corresponding to the occupied state, and configuring different recommended weight values for different occupied quantities, where the recommended weight value decreases as the occupied quantity increases; Performing a product calculation on the benchmark recommended value and the recommended weight value corresponding to the same energy storage element to obtain a specification recommended value corresponding to each energy storage element; When it is determined that the user contacts any specification slot based on the electrical equipment, arranging each recommended area located in the third area in a descending order based on the specification recommended value.

[0011] Optionally, in the method according to the present invention, the method further includes: Generating price slots based on each recommended area and retrieving the benchmark charging cost value; Determining the recommended area ranked first as the target area based on the vertical arrangement, and determining the remaining other recommended areas as an optional area group; Determining the additional energy storage cost based on the comprehensive line loss rate of each recommended area in the optional area group, and determining the estimated energy storage cost as the sum of the additional energy storage cost and the benchmark energy storage cost; Determining the benchmark energy storage cost as the estimated energy storage cost corresponding to the target area, and filling each estimated energy storage cost into the corresponding price slot.

[0012] Optionally, in the method according to the present invention, the method further includes: In response to the existence of the same target area in the power supply recommendation display interfaces of multiple different electrical equipment, determining the route distance of each electrical equipment to reach the target area based on the radiation area corresponding to each electrical equipment; Determining the driving time corresponding to each electrical equipment based on the ratio relationship between the route distance and the retrieved preset vehicle speed; Performing a summation calculation on the mark scanning time of the position mark code corresponding to each electrical equipment and the driving time corresponding to the same electrical equipment, and determining the electrical equipment with the smallest driving arrival time obtained as the recommended equipment, and determining each other electrical equipment except the target equipment as the un - recommended equipment; Based on the vertical arrangement, determining the recommended area after the target area in the power supply recommendation display interface of each un - recommended equipment as the target area.

[0013] Optionally, in the method according to the present invention, the method further includes: in response to any electrical device scanning any position marking code located in the energy storage site, triggering a marking acquisition unit corresponding to the same position relationship as the position marking code to perform image acquisition on the electrical device, and determining the driving direction corresponding to the electrical device based on the obtained device image; In response to the power supply recommendation display interfaces of multiple different electrical devices having the same target area, generating a driving route for each electrical device to reach the target area based on the radiation area corresponding to each electrical device, and determining the route direction corresponding to the electrical device based on the driving route; In response to the driving direction being different from the route direction, adding the retrieved preset U-turn time to the driving time of the vehicle to obtain an updated driving time of the vehicle.

[0014] Optionally, in the method according to the present invention, determining that an electrical device establishes a power supply relationship with an energy storage component, and updating the reference line loss rate of each energy storage unit included in the energy storage component based on the device position of the corresponding electrical device to obtain the current line loss rate, includes: In response to the energy storage component establishing a power supply relationship with the electrical device based on an energy storage line, determining a first port position of the charging port of the corresponding electrical device based on the device position of the corresponding electrical device, and obtaining a second port position of the energy storage port corresponding to the energy storage component; Taking the first port position as the starting point and the second port position as the ending point, establishing a port connection line connecting the charging port and the energy storage port, and determining the extended line loss rate based on the extended length of the corresponding port connection line; Performing a fusion calculation on the attribute weight value retrieved based on the power supply attribute corresponding to the power supply relationship and the extended line loss rate, and updating the reference line loss rate of each energy storage unit included in the energy storage component with the obtained new line loss rate to obtain the current line loss rate.

[0015] Optionally, in the method according to the present invention, obtaining historical usage data corresponding to each energy storage unit, and determining a healthy energy storage coefficient based on the current line loss rate and the historical usage data, includes: Determining the current cycle number of the corresponding energy storage unit based on the obtained historical usage data, and obtaining the cycle usage rate based on the ratio of the current cycle number to the rated cycle number; Performing a product calculation on the cycle usage rate and a preset attenuation value, and determining the healthy energy storage coefficient of the corresponding energy storage unit based on the obtained cycle attenuation value and the current line loss rate.

[0016] Optionally, in the method according to the present invention, controlling the energy storage component to perform a discharging operation on the electrical device based on the obtained unit sequence, includes: Obtain the expected charging amount uploaded by the user device and the energy storage power of each energy storage unit; Based on the unit sequence, starting from the energy storage unit at the first position and in the forward arrangement order of the unit sequence, superimpose the energy storage power of each energy storage unit, and determine all the energy storage units whose sum of corresponding energy storage powers is greater than or equal to the expected charging amount as the discharge unit group; Control each energy storage unit in the discharge battery group to perform a discharge operation based on the forward arrangement order of the unit sequence, and in response to the energy storage power of any energy storage unit in the discharge unit group being less than the preset power, control the energy storage unit to perform a charging operation.

[0017] According to another aspect of the present invention, there is provided an energy storage dynamic charging and discharging system, including: A line loss update module, configured to determine that a power supply relationship is established between the electrical equipment and the energy storage component, update the reference line loss rate of each energy storage unit included in the energy storage component based on the equipment position corresponding to the electrical equipment, and obtain the current line loss rate; A health assessment module, configured to obtain the historical usage data of each energy storage unit, and determine the healthy energy storage coefficient based on the current line loss rate and the historical usage data; A control discharge module, configured to perform unit sorting on the energy storage units based on the healthy energy storage coefficient, and control the energy storage component to perform a discharge operation on the electrical equipment based on the obtained unit sequence.

[0018] According to the solution of the present invention, the present invention significantly improves the adaptability and operation efficiency of the energy storage system. First, based on the scanning of the position marking code and the generation of the radiation area, the user can quickly obtain the comprehensive line loss rate of the surrounding vacant energy storage components. Combining with the visual recommendation interface (including multi-dimensional information such as line loss, layout status, estimated cost, etc.), the user can accurately select low-loss and highly available charging resources, greatly shortening the charging decision-making time and reducing the energy transmission loss. Secondly, by dividing the element group status marking and calculating the specification recommended value, the layout density and real-time occupancy of the energy storage components can be dynamically reflected, supporting the user to actively trigger the recommendation sorting adjustment, effectively avoiding high-crowded areas, and improving the convenience and comfort of the charging experience. At the management level of the corresponding energy storage component, the present invention can accurately calibrate the actual loss status of the energy storage unit by integrating the transmission distance and the power supply attribute into the real-time line loss update mechanism; and by combining the healthy energy storage coefficient with the cycle life attenuation and the real-time line loss, it provides a scientific basis for unit sorting, preferentially calling the units with high "health degree" to participate in the discharge, balancing the equipment usage intensity, and prolonging the overall life of the energy storage component. This not only improves the user's charging efficiency and experience, but also reduces the energy loss and equipment operation and maintenance costs through the dynamic optimization allocation of resources. Description of the Drawings

[0019] Figure 1Shows a flowchart of a dynamic charge and discharge method for energy storage according to an embodiment of the present invention; Figure 2 Shows a schematic diagram of a power supply recommendation display interface of this embodiment; Figure 3 Shows a structural block diagram of a dynamic charge and discharge system for energy storage according to another embodiment of the present invention. Detailed implementation manners

[0020] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be completely conveyed to those skilled in the art.

[0021] To solve the problems existing in the above background art, the inventors proposed the solution of the present invention. An embodiment of the present invention provides a dynamic charge and discharge method for energy storage, which can be executed in a computing device. Herein, the computing device can be understood as a terminal having data processing functions, such as a mobile phone or a computer.

[0022] Figure 1 Shows a flowchart of the dynamic charge and discharge method for energy storage according to this embodiment, as Figure 1 shown, the method starts from step S101, in which the following contents are included: Determine that a power supply relationship is established between the electrical device and the energy storage component, and update the baseline line loss rate of each energy storage unit included in the energy storage component based on the device location of the corresponding electrical device to obtain the current line loss rate.

[0023] It can be explained that, in this embodiment, the electrical device may include a device that needs to be charged used by the user, such as an electric vehicle. When the current device power of the electrical device cannot meet the daily use requirements, the user can search for a nearby energy storage component for corresponding charging under his own planning. Herein, the energy storage component can be understood as a component having a charging function, such as a charging device.

[0024] In a real scenario, there is generally a line loss rate in a general energy storage component. Herein, the line loss rate refers to the ratio of the electrical energy lost on the energy storage component to the total charging electrical energy during the charging process, which reflects the electrical energy transmission efficiency of the energy storage component. The lower the line loss rate, the smaller the loss of electrical energy during the line transmission, and the higher the charging efficiency, and vice versa. It can be known that the corresponding energy storage component is generally composed of multiple energy storage units, and the multiple energy storage units all charge the electrical device based on the charge and discharge principle. Therefore, it can be understood that each energy storage unit should have a corresponding baseline line loss rate.

[0025] When the user locates the corresponding energy storage component, a power supply relationship can be established between the electrical device and the energy storage component based on the energy storage circuit, so as to charge the electrical device based on the energy storage component. Among them, the specific implementation process includes connecting one end of the energy storage circuit to the charging port of the corresponding electrical device, and connecting the other end of the energy storage circuit to the energy storage port of the corresponding energy storage component. Based on the above content, each energy storage unit included in the energy storage component has a corresponding baseline line loss rate. Furthermore, based on the characteristics of line loss, the longer the power transmission line, the higher the corresponding line loss rate will be. Generally, the length of the power transmission line depends on the distance between the electrical device and the energy storage component. Therefore, in order to accurately determine the line loss rate of the electrical device during charging based on the energy storage component, it is necessary to update the corresponding baseline line loss rate based on the device location of the electrical device to obtain the current line loss rate.

[0026] In addition, in an actual scenario, the energy storage component is generally arranged in a corresponding energy storage site. In order to charge multiple different electrical devices simultaneously, there are generally multiple energy storage components in the same energy storage site, and the multiple energy storage components can be distributed at different positions in the energy storage site. Therefore, in order to facilitate the electrical device to quickly find a suitable energy storage component for charging, in this embodiment, before the above-mentioned "determining the power supply relationship between the electrical device and the energy storage component", the following steps can also be included: Respond to the electrical device scanning any position code located in the energy storage site, determine the code element indicating the position code based on the upper view of the energy storage site, and generate a radiation area corresponding to the preset radiation range with the code element as the starting point; Determine each energy storage element whose corresponding element state in the radiation area is in a vacant state, and superimpose the baseline line loss rates of all energy storage units included in each energy storage component indicated by each energy storage element, and generate power supply recommendation data based on the obtained comprehensive line loss rate; Send the power supply recommendation data to the electrical device for display.

[0027] For example, in this embodiment, for the quick search and positioning of the energy storage component, it can be specifically carried out based on the following implementation method: First, when the user enters the energy storage site with the electrical device (such as application scenarios like the shared charging area of a large commercial complex, a new energy vehicle swapping station, etc.), in response to the scanning operation of the electrical device on any position code (such as a two-dimensional code, RFID tag, etc.) arranged in the energy storage site, the server can accurately locate the code element corresponding to the position code based on the pre-constructed upper view of the energy storage site. Among them, the code element can represent the specific position coordinates where the user is currently located; Then, taking the marked code element as the spatial starting point, a radiation area is generated according to a preset radiation range (for example, a circular area centered on the user's current position with a radius of 10 meters, which can be dynamically adjusted according to the layout density of energy storage devices). The setting of this radiation area aims to quickly lock in potential available energy storage resources around the user; Next, the server screens the status of all energy storage elements within the radiation area to determine the energy storage elements whose element status is in the vacant state (that is, not occupied by other electrical equipment and in a power supply state). These energy storage elements correspond to physically located and currently available energy storage components near the user; for each of the above-mentioned energy storage elements in the vacant state, the baseline line loss rate of all energy storage units in the indicated energy storage component is extracted, and the baseline line loss rates under the same energy storage element are superimposed and calculated to obtain a comprehensive line loss rate reflecting the comprehensive power transmission loss of the energy storage component. The lower the comprehensive line loss rate, the higher the energy transmission efficiency when supplying power from this energy storage component to electrical equipment; Furthermore, the server generates power supply recommendation data including information such as a list of recommended energy storage components and corresponding line loss rate parameters based on the comprehensive line loss rate of each energy storage element and a preset recommendation rule; Finally, the power supply recommendation data is sent to the user's electrical equipment in real time for visual display (for example, presented in the form of a list or map annotation on the APP), enabling the user to quickly select an energy storage component with high energy transmission efficiency and strong adaptability based on key indicators such as the comprehensive line loss rate of available energy storage components around, thereby effectively reducing power transmission loss in practical applications, improving the overall utilization efficiency of the energy storage system, and achieving a dual optimization of the user's charging experience and system energy efficiency.

[0028] It should be noted that when there are no energy storage elements in the vacant state in the generated radiation area, the server can automatically expand the radiation area.

[0029] Furthermore, in this embodiment, the above-mentioned "generating power supply recommendation data based on the obtained comprehensive line loss rate" may further include the following steps: Establish a power supply recommendation display interface, which includes a first area filling the upper view of the site, a second area filling the radiation area, and a third area; Based on the number of elements corresponding to the energy storage elements, generate the same number of vertically arranged recommended areas in the third area. Each recommended area includes horizontally arranged line loss slots and specification slots; Determine an element framework based on the different division element groups to which the energy storage elements belong, and update the element framework based on the element status of other energy storage elements determined to be in the same division element group; Along the vertical arrangement direction, the comprehensive line loss rate is filled into the line loss slots of different recommended areas in order from small to large, and the updated element framework is filled into the corresponding specification slots.

[0030] For example, in this embodiment, after the radiation area of the corresponding radiation range is obtained, the corresponding power supply recommendation data can be generated based on the energy storage elements located in the radiation area. Accordingly, the specific implementation process can be based on the following content: First, for the user's charging demand scenarios (such as new energy vehicle charging stations, electric vehicle shared battery swap cabinet areas, etc.), the server can establish a power supply recommendation display interface, which contains three functional areas: the first area is used to fully present the site view of the energy storage site and intuitively display the overall layout of the charging station; the second area corresponds to the radiation area centered on the user's scanning position (such as the distribution area of charging piles within 10 meters around the current parking position of the electric vehicle), accurately focusing on the available energy storage resources around the user; the third area is used to carry specific recommendation content, for example, Figure 2 A schematic diagram of the power supply recommendation display interface in this embodiment is shown, wherein Figure 2 In the figure, the left side shows a first area which can be used to display the view on the site, and the right side shows a second area and a third area which can be used to display the radiation area, each recommended area; Then, based on the number of vacant energy storage elements in the radiation area, the server can generate the same number of vertically arranged recommended areas in the third area. Each recommended area is horizontally divided into line loss slots and specification slots - the line loss slots are used to intuitively present the energy transmission loss parameters, and the specification slots are used to display the layout association status of the energy storage components. For example, in the electric vehicle charging scenario, each energy storage element can correspond to a charging pile or a group of charging modules, and their number determines the number of recommended areas, which is convenient for users to quickly browse the optional range; Next, the server determines an initial element framework for each energy storage element according to the physical grouping of the energy storage elements in the site layout (for example, the charging station is divided into different element groups such as group A and group B according to the partitioning of the charging station), and the framework represents the basic layout information of the group to which it belongs; Subsequently, the server obtains the status of other energy storage elements in the same divided element group in real time (e.g. "occupied" means the charging pile is charging other electric vehicles, "vacant" means it is available), and dynamically updates the element framework based on this: when there is an occupied energy storage element in the same group, its occupancy status is marked in the framework to form a visual mark reflecting the resource usage density in the group. This step helps users predict the layout impact that may be caused during the charging process (e.g. whether the adjacent charging piles are busy) by presenting the surrounding usage status of the energy storage components, thereby improving the practicality of the recommended information; Finally, the server fills the line loss slots of each energy storage element in the recommended areas along the vertical direction in ascending order of the comprehensive line loss rate, so that the recommended area with the lowest line loss rate (i.e., the highest energy transmission efficiency) is preferentially displayed above the interface, meeting the core needs of electric vehicle users for low-loss and efficient charging. At the same time, the updated element framework (including grouped layout and surrounding status information) is filled into the corresponding specification slots to form a two-dimensional recommendation display of "line loss index + layout status". For example, when the line loss slot shows "5%", it means that the transmission loss from this charging pile to the electric vehicle is relatively low, and the specification slot uses an icon to indicate the busyness of the area where this charging pile is located, helping users comprehensively judge the optimal choice.

[0031] Through the above steps, the power supply recommendation data can be presented in a structured and visual way, which not only meets the needs of electric vehicle users for low-line-loss and efficient charging, but also helps users avoid high-occupancy areas through the dynamic display of the layout status, improving the scientificity and convenience of charging decisions, and ultimately realizing the reasonable allocation of energy storage resources and the optimization and improvement of charging efficiency.

[0032] Furthermore, in this embodiment, the above "updating the element framework based on the element status of other energy storage elements determined to be in the same division element group" may further include the following steps: Divide each element framework to obtain sub-frameworks corresponding to each other energy storage element located in the same division element group; In response to the element status of any other energy storage element being the vacant state, retrieve the first marker to mark the sub-framework corresponding to this other energy storage element; In response to the element status of any other energy storage element being the occupied state, retrieve the second marker to mark the sub-framework corresponding to this other energy storage element.

[0033] For example, in this embodiment, it can be explained that based on the above content, it can be known that general energy storage components are located in energy storage sites, and the energy storage sites have a similar area planning method to general parking sites. That is, different numbers of energy storage elements can be planned into the same element framework, where the number can be two or three for example. When the electrical equipment selects the corresponding energy storage component for charging based on the power supply recommendation data, the element status of other energy storage elements in the element framework of each energy storage element can be considered synchronously to jointly determine the energy storage component. Generally speaking, some users may think that the fewer the number of energy storage elements in the same element framework, the higher the corresponding charging safety may be, or the more the energy storage elements in the same element framework in the vacant state, the lower the corresponding parking difficulty may be. Therefore, in order to help users determine the actual situation of each element framework, the following implementation method can be used: First, perform a structured division on the element framework corresponding to each energy storage element. According to the number of energy storage elements within the same division element group, split the element framework into sub - frameworks that correspond one - to - one with other energy storage elements. Among them, each sub - framework corresponds to a specific energy storage element within the group; Then, the server monitors the status of each energy storage element in real - time: when it detects that any other energy storage element within the same division element group is in a vacant state (i.e., an available charging pile not occupied by other electric vehicles), in response to this status information, retrieve a preset first marker (such as a green hollow icon) to visually mark the corresponding sub - framework, so as to intuitively present the available status of the energy storage resources at this location; Finally, when it detects that any other energy storage element is in an occupied state (i.e., a charging pile that is currently charging other electric vehicles), in response to this status information, retrieve a preset second marker (such as a red solid icon) to mark the corresponding sub - framework, clearly identifying the resource occupancy situation at this location.

[0034] Through the above - mentioned sub - framework marking process, the element framework can dynamically reflect the real - time usage status of each energy storage element within the same group (for example, in the electric vehicle charging scenario, the element framework of the specification slot can be displayed as a combined state of "the left - adjacent charging pile is available (green mark), and the right - adjacent charging pile is occupied (red mark)"). When electric vehicle users view the recommended area, they can not only obtain the line loss rate parameter of the target energy storage component, but also intuitively know the occupancy situation of the surrounding energy storage elements in the same group. Thus, they can make a better choice in combination with the actual charging needs (such as avoiding the impact on connection stability caused by frequent plugging and unplugging of adjacent charging piles). This update mechanism deeply integrates the spatial layout of the energy storage components with the real - time usage status through visual status marking, enhancing the multi - dimensional reference value of the recommended information, assisting users in avoiding high - occupancy areas or reasonably utilizing surrounding idle resources, thereby optimizing the resource allocation efficiency of the energy storage system, reducing the user's waiting time, and enhancing the scientific nature and convenience of charging decisions; and since the other energy storage elements are all marked accordingly, it can also highlight the relative position of the energy storage element in the corresponding power supply recommendation data in each element framework.

[0035] In addition, after determining the actual situation of each element framework, it is also possible to make recommendations for the corresponding energy storage components based on the actual situation of the element framework. Among them, the corresponding method steps include: Obtain the sub - quantity of the sub - frameworks included in each element framework, and configure different benchmark recommendation values for different sub - quantities, where the benchmark recommendation value decreases as the sub - quantity increases; In response to any other energy storage element in the division element group having an occupied state, obtain the occupancy quantity corresponding to the occupied state, and configure different recommendation weight values for different occupancy quantities, where the recommendation weight value decreases as the occupancy quantity increases; Calculate the product of the reference recommended value corresponding to the same energy storage element and the recommended weight value to obtain the specification recommended value corresponding to each energy storage element; When it is determined that the user contacts any specification slot based on the electrical equipment, arrange each recommended area in the third area in descending order based on the specification recommended value.

[0036] For example, the recommendation based on the element framework can be specifically carried out based on the following implementation method: First, for the element framework of each energy storage element, obtain the number of sub-frameworks it contains (that is, the number of all energy storage elements in the same divided element group. For example, there are 5 charging piles corresponding to a certain element framework, and the number of sub-frameworks corresponding to the current energy storage element is 5), and configure the reference recommended value according to the number of sub-frameworks - the larger the number of sub-frameworks (indicating that the layout of energy storage elements in this group is denser), the smaller the reference recommended value, to reflect potential problems such as space competition or heat dissipation effects that may be brought about by high-density layout (for example, the corresponding charging safety may be lower); Then, the server can monitor the status of energy storage elements in each divided element group in real time. In response to the existence of other energy storage elements with a status of "occupied" in any divided element group (such as a charging pile where an electric vehicle is charging), obtain the occupancy number in this group (that is, the number of charging piles in the charging state), and configure the recommended weight value according to the occupancy number - the larger the occupancy number (indicating that the current use of this area is busier), the smaller the recommended weight value, to reflect the impact of high occupancy rate on the user's charging experience (such as the corresponding parking difficulty may increase); Next, for the same energy storage element, calculate the product of its reference recommended value and the recommended weight value to obtain the specification recommended value that comprehensively reflects the layout density and real-time occupancy. For example, the number of sub-frameworks in the group where a certain charging pile is located is 3 (reference recommended value 0.8), and the current occupancy number is 2 (recommended weight value 0.6), then the specification recommended value is 0.48. The higher this value, the stronger the comprehensive adaptability of this energy storage element in terms of layout rationality and resource availability; Finally, when it is detected that the user performs a contact operation (such as click, long press, etc.) on any specification slot through the in-vehicle terminal or mobile phone APP, the server will correspondingly trigger the recommendation order adjustment mechanism. Based on the specification recommended values of each energy storage element, re-arrange all the recommended areas in the third area in descending order, so that the recommended areas corresponding to the energy storage components with a sparser layout and a low current occupancy rate are preferentially displayed. For example, the recommended area of the charging pile with the highest specification recommended value will be moved to the top of the interface to facilitate the user to quickly select the charging resources with better comprehensive conditions.

[0037] Through the above steps, the method converts the layout density (number of sub-frames) of the energy storage components and the real-time usage status (occupied number) into quantifiable recommendation metrics. With the dynamic calculation of the specification recommendation values and the interactive sorting of the recommendation areas, it provides intelligent recommendation services for electric vehicle users that take into account both spatial rationality and resource availability. In an actual charging scenario, users can actively trigger in-depth recommendations based on the layout and occupancy of the surrounding energy storage components by clicking on the specification slots, avoiding choosing high-density crowded areas or charging piles with high occupancy rates, thereby effectively reducing the charging waiting time, improving the usage efficiency of the charging facilities and the user experience, and realizing the dynamic optimal allocation and intelligent scheduling of energy storage resources.

[0038] Furthermore, after determining the corresponding power supply recommendation data, in order to guide users to use energy storage components with relatively low comprehensive line loss rates for charging based on the land supply recommendation data, in this embodiment, the following method steps may further be included: Generate price slots based on each recommendation area and retrieve the benchmark charging cost value; Based on the vertical arrangement, determine the first recommended area as the target area and determine the remaining other recommended areas as the optional area group; Determine the additional energy storage cost based on the comprehensive line loss rate of each recommended area in the optional area group, and determine the estimated energy storage cost based on the sum of the additional energy storage cost and the benchmark energy storage cost; Determine the benchmark energy storage cost as the estimated energy storage cost corresponding to the target area, and fill each estimated energy storage cost into the corresponding price slot.

[0039] For example, in this embodiment, the guiding selection for users can be carried out based on the following implementation methods: First, price slots can be generated for each recommended area. These slots are used to intuitively present the charging cost information of the corresponding energy storage components, and the benchmark charging cost value (i.e., the standard cost determined based on the unit power cost and the basic service rate) can be further retrieved from the database; Then, according to the order of the recommended areas arranged vertically, determine the first recommended area with the minimum comprehensive line loss rate (i.e., the highest energy transmission efficiency) as the target area, which corresponds to the most optimal energy storage components (i.e., the charging piles with the lowest line loss); at the same time, divide the remaining other recommended areas into an optional area group, and the line loss rates of the energy storage components corresponding to these areas are relatively high; Next, for each recommended area within the optional area group, the server can calculate the additional energy storage cost based on its corresponding comprehensive line loss rate - specifically, the higher the comprehensive line loss rate, the greater the loss of electric energy during transmission, and the higher the corresponding additional energy cost. Therefore, the additional energy storage cost is positively correlated with the comprehensive line loss rate (for example, for every 1% increase in the line loss rate, the additional cost increases by 1% of the benchmark cost); Subsequently, the additional energy storage cost of each optional area is added to the benchmark charging cost value to obtain the estimated energy storage cost corresponding to that area; for the target area, since it has the lowest line loss rate and the optimal transmission efficiency, the benchmark charging cost value is directly used as its estimated energy storage cost without adding additional costs; Finally, the server can fill the calculated estimated energy storage costs into the price slots of each recommended area respectively to form a multi-dimensional information display of "line loss rate - specification status - estimated cost" (for example, the price slot of the target area shows "50 yuan", and a certain optional area shows "55 yuan" due to a higher line loss rate). Thus, in relevant application scenarios, users can intuitively compare the charging costs of different energy storage components through the price slots, and combined with the line loss rate and the surrounding layout status, select the charging plan with the best cost performance: the target area provides efficient charging services at the benchmark price to attract users to preferentially select low-loss resources; the optional areas reasonably reflect their higher transmission costs through the setting of additional costs to guide the differential utilization of resources.

[0040] Through the above steps, this method dynamically associates the energy transmission efficiency with the charging cost, and uses the price lever to encourage users to select high-quality energy storage components with low line losses. This not only improves the economy of users' charging decisions, but also promotes the preferential utilization of high-efficiency resources in the energy storage system, reduces the overall energy loss, and achieves the dual goals of optimizing the charging cost and energy efficiency. At the same time, the visual presentation of the price slots and the differential charging mechanism further enhance the information richness and practicality of the recommendation interface, provide more comprehensive charging selection references for electric vehicle users, and help with the rational allocation and intelligent scheduling of energy storage resources.

[0041] It can be explained that based on the above content, energy storage sites generally have more energy storage components. Therefore, there may be a demand for charging by multiple different electrical devices at the same time during a certain period. In this case, if there is the same target area in the power supply recommendation display interfaces of multiple different user devices, there may be disputes over parking, resulting in poor parking efficiency. Based on this, in this embodiment, the following steps may further be included: In response to the same target area existing in the power supply recommendation display interfaces of multiple different electrical devices, determine the route distance of each electrical device to reach the target area based on the radiation area corresponding to each electrical device; Based on the ratio relationship between the route distance and the preset vehicle speed retrieved, determine the driving time corresponding to each electrical device; Sum up the obtained marking scanning time of the position marking code corresponding to each electrical device and the driving time corresponding to the same electrical device, and determine the electrical device with the smallest driving arrival time obtained as the recommended device, and determine each other electrical device except the target device as the non-recommended device; Based on the vertical arrangement, the recommended area of the power supply recommendation display interface of each un-recommended device that is located after the target area is determined as the target area.

[0042] For example, in this embodiment, for the case where multiple different user devices have the same target area, the following method can be used to solve it: First, when there is the same target area in the power supply recommendation display interfaces of multiple different electrical devices, the route distance for each electrical device to reach the target area can be determined based on the radiation area corresponding to each electrical device, so as to provide a basis for determining the subsequent driving time; Then, based on the ratio relationship between the route distance and the preset vehicle speed retrieved, the driving time corresponding to each electrical device is determined. By associating the route distance with the preset vehicle speed, the time required for the electrical device to reach the target area can be accurately calculated; Next, the sum of the mark scanning time of the position mark code corresponding to each electrical device and the driving time corresponding to the same electrical device is calculated to obtain the driving arrival time corresponding to each electrical device, and the electrical device with the smallest driving arrival time obtained is determined as the recommended device, and each other electrical device except the recommended device is determined as the un-recommended device. By comprehensively considering the mark scanning time and the driving time, the electrical device to be preferentially recommended can be determined fairly and reasonably; Finally, based on the vertical arrangement, the recommended area of the power supply recommendation display interface of each un-recommended device that is located after the target area is determined as the target area. In this way, when multiple electrical devices compete for the same target area, the recommended target of the un-recommended device can be reasonably adjusted to avoid recommendation conflicts and improve the utilization efficiency of energy storage resources and the user experience.

[0043] Optionally, in the method according to the present invention, the method further includes: in response to any electrical device scanning any position mark code located in the energy storage site, triggering the mark acquisition unit corresponding to the same position relationship as the position mark code to perform image acquisition on the electrical device, and determining the driving direction corresponding to the electrical device based on the obtained device image; In response to the existence of the same target area in the power supply recommendation display interfaces of multiple different electrical devices, a driving route for each electrical device to reach the target area is generated based on the radiation area corresponding to each electrical device, and the route direction corresponding to the electrical device is based on the driving route; In response to the driving direction being different from the route direction, the sum of the preset U-turn time retrieved and the driving time is calculated to obtain the updated driving time.

[0044] For example, in this embodiment, the update of the driving time of the vehicle can be implemented based on the following method steps: First, in response to any electrical device scanning any position marker code located in the energy storage site, a marker acquisition unit corresponding to the same position relationship as the position marker code is triggered to perform image acquisition on the electrical device. It can be noted that in this embodiment, each position marker code can be specifically set on different marker posts located in the energy storage site. Similarly, the marker posts are also provided with marker acquisition units, and the marker acquisition units can be specifically cameras; Then, the driving direction corresponding to the electrical device can be determined based on the obtained device image. It can be noted that based on the above content, the electrical device can correspond to an electric vehicle. Therefore, after obtaining the corresponding device image, corresponding image recognition can be performed on the device image to determine the head orientation of the electrical device, and the head orientation can be determined as the driving direction corresponding to the electrical device. Here, through the accurate recognition of the driving direction of the electrical device, a direction data basis is provided for the subsequent calculation of the time of the driving route; Next, in response to the same target area existing in the power supply recommendation display interfaces of multiple different electrical devices, driving routes for each electrical device to reach the target area are generated based on the radiation area corresponding to each electrical device, and the route direction of the electrical device is determined based on the driving route, thereby establishing a correspondence between the current driving direction of the electrical device and the route direction of the target area. It can be noted that the route direction can be understood as the corresponding direction for the electrical device to drive to the target area; Finally, in response to the driving direction being different from the route direction, the preset U-turn time retrieved is summed with the driving time of the vehicle to obtain the updated driving time of the vehicle. That is, when the driving direction is different from the route direction, it indicates that if the electrical device wants to quickly reach the target area, it needs to make a U-turn based on the current driving direction to conform to the corresponding route direction. In this case, the time needs to be corrected by combining the possible U-turn scenarios in the actual driving process to make the calculation of the driving time more in line with the actual time taken by the user to reach the target area, thereby providing a more accurate time basis for the judgment of the recommendation priority when multiple devices compete for the same target area and improving the rationality of energy storage resource allocation and the convenience of user use.

[0045] Furthermore, in this embodiment, the above "determine that the electrical device establishes a power supply relationship with the energy storage component, and update the reference line loss rate of each energy storage unit included in the energy storage component based on the device position corresponding to the electrical device to obtain the current line loss rate" can further include the following steps: In response to the energy storage component establishing a power supply relationship with the electrical device based on the energy storage circuit, determine the first port position of the charging port of the corresponding electrical device based on the device position of the corresponding electrical device, and obtain the second port position of the energy storage port corresponding to the energy storage component; Taking the first port position as the starting point and the second port position as the ending point, establish a port connection line connecting the charging port and the energy storage port, and determine the extended line loss rate based on the extended length of the corresponding port connection line; Fuse and calculate the attribute weight value retrieved based on the power supply attribute of the corresponding power supply relationship with the extended line loss rate, and update the reference line loss rate of each energy storage unit included in the energy storage component with the obtained new line loss rate to obtain the current line loss rate.

[0046] For example, in this embodiment, the corresponding process of updating the reference line loss rate to obtain the current line loss rate can be implemented based on the following: First, in response to the establishment of this power supply relationship, the server determines the first port position of its charging port (i.e., the physical coordinates of the electric vehicle charging port) based on the real-time device position of the electric vehicle (such as in-vehicle GPS positioning or charging station parking space induction data), and at the same time obtains the second port position of the energy storage port corresponding to the energy storage component (such as a charging pile) (i.e., the physical coordinates of the charging pile output terminal), accurately positioning the two end nodes of the energy transmission; Then, taking the first port position as the starting point and the second port position as the ending point, construct a virtual port connection line. This connection line simulates the actual path of the electric energy transmission. The server can calculate the extended line loss rate based on the extended length of the port connection line (i.e., the straight-line distance or cable laying length between the two ports) - according to electrical principles, the longer the transmission distance, the greater the line resistance and the higher the line loss rate. Specifically, it can be determined through a preset distance-line loss mathematical model (for example: extended line loss rate = k · extended length, where k is the line loss coefficient related to the cable material); Next, the server retrieves the corresponding attribute weight value according to the power supply attribute of the current power supply relationship (such as high-power output corresponding to the fast charging mode and low-power output corresponding to the slow charging mode) (for example, the fast charging mode has an increased line heating loss due to a larger current, and the weight value is set to 1.2; the slow charging mode weight value is set to 1.0), and fuses and calculates this weight value with the extended line loss rate (such as weighted summation or product operation) to obtain a new line loss rate that comprehensively reflects the influence of the transmission distance and the power supply mode; Finally, use this new line loss rate to dynamically update the reference line loss rate of each energy storage unit in the energy storage component: superimpose (or fuse according to a preset algorithm) the reference line loss rate and the new line loss rate to obtain the current line loss rate considering the actual connection state.

[0047] It should be noted that the current line loss rate will be used as a key parameter for subsequent calculation of the healthy energy storage coefficient and energy storage unit ranking, ensuring that the discharge operation is based on real-time and accurate line loss data to improve the energy transmission efficiency. In actual application scenarios, the above process can calibrate in real time the line loss changes caused by differences in the positions of charging ports and different power supply modes (for example, the distances between charging piles and electric vehicle charging ports at different parking spaces are different, or the loss differences when users select different charging powers), enabling the energy storage system to dynamically adapt to the actual connection conditions and avoiding recommendation deviations caused by a fixed reference line loss rate. Moreover, by integrating the dual influences of physical distance and power supply attributes, the accuracy of line loss calculation can be significantly improved, providing a more reliable data basis for subsequent unit ranking based on the healthy energy storage coefficient, thereby optimizing the discharge strategy of energy storage components, reducing energy losses during actual charging, improving the charging efficiency of electric vehicles and the system energy efficiency, and realizing the refined management and dynamic optimal allocation of energy storage resources.

[0048] In step S102, the following contents are included: Obtain the historical usage data corresponding to each energy storage unit, and determine the healthy energy storage coefficient based on the current line loss rate and the historical usage data.

[0049] For example, in this embodiment, based on the above content, it can be known that each energy storage component is composed of multiple energy storage units. After a long period of use, the charge and discharge conditions of each energy storage unit may be the same. Since energy storage units generally have a certain service life, that is, after reaching a certain number of charge and discharge cycles, the energy storage unit needs to be scrapped. Therefore, different charge and discharge conditions will result in different corresponding service lives. At the same time, the reference line loss rate of each energy storage unit will also affect the service life synchronously. Therefore, in order to be able to perform real-time health monitoring on all energy storage units included in the same energy storage component, after establishing a corresponding power supply relationship with the electrical equipment, the corresponding charge and discharge conditions can be determined by obtaining the historical usage data of each energy storage unit, and further, based on the historical usage data and the previously obtained current line loss rate, the healthy energy storage coefficient corresponding to each energy storage unit can be obtained, so as to plan the use of the energy storage unit based on the obtained healthy energy storage coefficient in the subsequent process to increase the overall service life of the energy storage component as much as possible.

[0050] Furthermore, in this embodiment, the above "obtain the historical usage data corresponding to each energy storage unit, and determine the healthy energy storage coefficient based on the current line loss rate and the historical usage data" may further include the following steps: Determine the current cycle number of the corresponding energy storage unit based on the obtained historical usage data, and obtain the cycle utilization rate based on the ratio of the current cycle number to the rated cycle number; Calculate the product of the cycle utilization rate and a preset attenuation value, and determine the health energy storage coefficient of the corresponding energy storage unit based on the obtained cycle attenuation value and the current line loss rate.

[0051] For example, in this embodiment, the determination of a healthy energy storage system can be specifically implemented based on the following process: First, in response to the system's demand for monitoring the state of the energy storage unit, the server obtains the historical usage data of each energy storage unit (such as the charge and discharge records of the corresponding lithium battery), and extracts the key parameter - the current cycle count (i.e., the number of complete charge and discharge cycles since the energy storage unit was put into use). Then, calculate the ratio of the current cycle count to the rated cycle count of the energy storage unit (i.e., the design life cycle number specified by the manufacturer) to obtain the cycle utilization rate reflecting the battery aging degree (for example, if a battery has a rated cycle count of 2000 times and has been used 1000 times currently, the cycle utilization rate is 50%). The higher this cycle utilization rate, the greater the life loss of the energy storage unit and the higher the possibility of performance attenuation. Finally, perform a multiplication operation on the cycle utilization rate and a preset attenuation value (here, the preset attenuation value can be an aging impact coefficient set according to the type of energy storage unit. For example, the preset attenuation value for a lithium battery is 0.8) to obtain a cycle attenuation value quantifying the degree of life attenuation (such as the cycle attenuation value in the above example is 0.5×0.8 = 0.4). It should be noted that this cycle attenuation value and the current line loss rate (a real-time parameter reflecting the energy transmission efficiency) are used as core indicators, and through a preset fusion algorithm (such as weighted summation: health energy storage coefficient = cycle attenuation value × α + current line loss rate × β, where α and β are weight coefficients; or directly perform the superposition calculation of the two), the health energy storage coefficient is calculated. Among them, this coefficient comprehensively represents the "health status" of the energy storage unit - the smaller the value, the lower the degree of unit life attenuation and the smaller the line loss, and the more suitable it is to be preferentially put into discharge.

[0052] Here, the above process can evaluate the actual performance status of each battery unit in the energy storage component in real time: for example, when the energy storage unit of a charging pile has a cycle count close to the rated value due to long-term high-load operation, its cycle attenuation value increases, and the health energy storage coefficient calculated in combination with the current line loss rate also rises synchronously. The system places it at the back in the discharge sorting to avoid overusing aging units; on the contrary, newly put into use units with a low cycle count have a lower health energy storage coefficient and participate in discharge preferentially; that is, by integrating the dual factors of life attenuation and real-time line loss, it can provide a scientific basis for the intelligent sorting of energy storage units, which can not only reduce the ineffective input of high-loss units, but also balance the usage intensity of each unit, extend the overall life of the energy storage component, improve the energy utilization efficiency and equipment reliability during the electric vehicle charging process, and realize the full-cycle optimization management and dynamic balanced scheduling of energy storage resources.

[0053] In step S103, the following is included: Perform unit sorting on the energy storage units based on the healthy energy storage coefficient, and control the energy storage component to perform a discharging operation on the electrical equipment based on the obtained unit sequence.

[0054] For example, in this embodiment, after obtaining the healthy energy storage coefficient corresponding to each energy storage unit, in order to comprehensively balance the health conditions of the energy storage units corresponding to the same energy storage component, the energy storage units can be sorted based on the healthy energy storage coefficient, and the energy storage component can be controlled to perform a discharging operation on the electrical equipment based on the obtained unit sequence. That is, the earlier the energy storage unit, the healthier it is, and the higher the priority of performing the discharging operation.

[0055] Further, in this embodiment, the above "controlling the energy storage component to perform a discharging operation on the electrical equipment based on the obtained unit sequence" may further include the following steps: Obtain the expected charging amount uploaded by the user equipment and the energy storage power of each energy storage unit; Based on the unit sequence, starting from the energy storage unit at the first position and along the positive arrangement order of the unit sequence, superimpose the energy storage power of each energy storage unit, and determine all energy storage units whose sum of the corresponding energy storage power is greater than or equal to the expected charging amount as the discharging unit group; Control each energy storage unit in the discharging battery group to perform a discharging operation based on the positive arrangement order of the unit sequence, and in response to the energy storage power of any energy storage unit in the discharging unit group being less than the preset power, control the energy storage unit to perform a charging operation.

[0056] For example, in this embodiment, the specific control method for the discharging operation of the energy storage component can be implemented based on the following method steps: First, the expected charging amount uploaded by the user through the electrical equipment can be obtained (for example, the user inputs "need to charge 60 kWh"), and at the same time, the server can obtain the real-time energy storage power of each energy storage unit in the energy storage component in real time (that is, the current remaining available power); Then, based on the generated unit sequence (this sequence is arranged from small to large according to the healthy energy storage coefficient, that is, the energy storage unit with the best performance is at the first position), starting from the energy storage unit at the first position of the sequence, the energy storage power of each unit is accumulated in turn along the positive arrangement order. When the sum of the accumulated energy storage power is greater than or equal to the user's expected charging amount for the first time, all the energy storage units participating in the accumulation before can be determined as the discharging unit group. For example, the energy storage powers of the first three units in the unit sequence are 25 kWh, 20 kWh, and 15 kWh respectively, and the user's expected charging amount is 50 kWh. Then the sum of the powers of the first two units (45 kWh) is insufficient, and the sum is 60 kWh after adding the third unit. Therefore, the first three units form the discharging unit group; Finally, the server controls each energy storage unit in the discharge unit group to sequentially perform discharge operations in the forward order of the unit sequence (i.e., the unit with the best health status is prioritized), ensuring that the energy storage units with better performance and lower losses are prioritized to supply power to the electric vehicle, so as to improve the energy transmission efficiency and reduce the impact of battery attenuation. During the discharge process, the power status of each energy storage unit is monitored in real time: when the stored energy of any energy storage unit drops below the preset power, the server automatically controls the unit to exit the discharge state and immediately performs a charging operation (such as replenishing electrical energy from the power grid or other energy storage devices), avoiding damage to the battery life caused by over-discharge, and at the same time ensuring that other units with remaining power continue to discharge.

[0057] Here, the above control strategy realizes the following technical effects by dynamically matching the user's charging demand with the energy storage unit status: 1) Prioritize the call of energy storage units with good health status and low line losses to ensure efficient and low-loss charging; 2) Accurately select the minimum number of necessary energy storage units to meet the charging demand through the power superposition algorithm, reduce the investment in redundant equipment, and reduce the system energy consumption; 3) Respond to the state of the unit's power depletion in real time, automatically switch to the charging mode, balance the usage intensity of each energy storage unit, avoid over-fatigue of individual units, and extend the service life of the entire energy storage component; 4) Combine the previous dynamic update of line losses and the evaluation of health coefficients to form a closed-loop control of "state evaluation-intelligent sorting-precise scheduling", improve the intelligent level and resource utilization efficiency of the electric vehicle charging process, provide users with efficient and reliable charging services, and at the same time realize the refined management and dynamic balanced operation of the energy storage system.

[0058] In summary, this embodiment significantly improves the adaptability and operation efficiency of the energy storage system. First, based on the scanning of the position marking code and the generation of the radiation area, the user can quickly obtain the comprehensive line loss rate of the surrounding vacant energy storage components. Combining with the visual recommendation interface (including multi-dimensional information such as line loss, layout status, estimated cost, etc.), accurately select low-loss and highly available charging resources, greatly shortening the charging decision-making time and reducing the energy transmission loss; Secondly, by dividing the element group status marking and calculating the specification recommended value, the layout density and real-time occupancy of the energy storage components can be dynamically reflected, supporting the user to actively trigger the recommendation sorting adjustment, effectively avoiding high-congestion areas, and improving the convenience and comfort of the charging experience; At the management level of the corresponding energy storage components, this embodiment can accurately calibrate the actual loss status of the energy storage units by integrating the transmission distance and power supply attributes into the real-time line loss update mechanism; And through the healthy energy storage coefficient combined with the cycle life attenuation and real-time line loss, provide a scientific basis for unit sorting, prioritize the call of units with high "health degree" to participate in discharge, balance the equipment usage intensity, and extend the overall life of the energy storage component, which not only improves the user's charging efficiency and experience, but also reduces the energy loss and equipment operation and maintenance costs through the dynamic optimization allocation of resources.

[0059] Another embodiment of the present invention provides an energy storage dynamic charging and discharging system. Figure 3 For its corresponding system block diagram, as Figure 3 shown, the system includes: A line loss update module, configured to determine that a power supply relationship is established between an electrical device and an energy storage component, and update the reference line loss rate of each energy storage unit included in the energy storage component based on the device location of the corresponding electrical device to obtain the current line loss rate; A health assessment module, configured to obtain historical usage data corresponding to each energy storage unit, and determine a healthy energy storage coefficient based on the current line loss rate and the historical usage data; A control discharge module, configured to perform unit sorting on the energy storage units based on the healthy energy storage coefficient, and control the energy storage component to perform a discharge operation on the electrical device based on the obtained unit sequence.

[0060] In the specification provided herein, the algorithms and displays are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the examples of the present invention. Based on the above description, the structure required to construct such a system is obvious. In addition, the present invention is not directed to any particular programming language. It should be understood that the content of the present invention described herein can be implemented using various programming languages, and the description of the specific language above is for the purpose of disclosing the preferred embodiments of the present invention.

[0061] In the specification provided herein, a large number of specific details are set forth. However, it can be understood that the embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures, and technologies have not been shown in detail so as not to obscure the understanding of this specification.

[0062] Similarly, it should be understood that, in order to streamline the present disclosure and assist in understanding one or more of the various inventive aspects, in the above description of the exemplary embodiments of the present invention, the various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof.

[0063] Those skilled in the art should understand that the modules or units or components of the devices in the examples disclosed herein can be arranged in the devices as described in this embodiment, or alternatively can be located in one or more devices different from the devices in this example. The modules in the foregoing examples can be combined into one module or further divided into multiple sub-modules.

[0064] Those skilled in the art can understand that the modules in the devices in the embodiments can be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments can be combined into one module or unit or component, and in addition, they can be divided into multiple sub-modules or sub-units or sub-components.

[0065] In addition, those skilled in the art can understand that although some of the embodiments described herein include certain features included in other embodiments rather than other features, the combination of the features of different embodiments means that it is within the scope of the present invention and forms different embodiments.

[0066] In addition, some of the embodiments herein are described as a combination of methods or method elements that can be implemented by a processor of a computer system or by other devices performing the functions. Therefore, a processor having the necessary instructions for implementing the method or method element forms a device for implementing the method or method element. In addition, the elements described herein in the device embodiments are examples of such devices: the device is used to implement the functions performed by the elements for the purpose of implementing the invention.

[0067] As used herein, unless otherwise specified, the use of ordinal numbers "first", "second", "third", etc. to describe ordinary objects only indicates different instances of similar objects, and does not intend to imply that the objects so described must have a given order in terms of time, space, sorting, or in any other way.

[0068] Although the present invention is described in terms of a limited number of embodiments, those skilled in the art in this technical field will understand, based on the above description, that other embodiments can be conceived within the scope of the present invention thus described. In addition, it should be noted that the language used in this specification is mainly selected for the purpose of readability and teaching, rather than for the purpose of explaining or limiting the subject matter of the present invention.

Claims

1. A dynamic charge and discharge method for energy storage, characterized in that, Including the following steps: Determine that a power supply relationship is established between the electrical equipment and the energy storage component, and update the baseline line loss rate of each energy storage unit included in the energy storage component based on the equipment location of the corresponding electrical equipment to obtain the current line loss rate; Obtain the historical usage data corresponding to each energy storage unit, and determine the healthy energy storage coefficient based on the current line loss rate and the historical usage data; Perform unit sorting on the energy storage units based on the healthy energy storage coefficient, and control the energy storage component to perform a discharge operation on the electrical equipment based on the obtained unit sequence.

2. The energy storage dynamic charging and discharging method according to claim 1, wherein: Before determining that a power supply relationship is established between the electrical equipment and the energy storage component, it further includes: Respond to the electrical equipment scanning any position marker code located in the energy storage site, determine the marker code element indicating the position marker code based on the upper view of the energy storage site, and generate a radiation area corresponding to a preset radiation range with the marker code element as the starting point; Determine each energy storage element whose corresponding element state in the radiation area is in a vacant state, superimpose the baseline line loss rates of all energy storage units included in each energy storage component indicated by each energy storage element, and generate power supply recommendation data based on the obtained comprehensive line loss rate; Send the power supply recommendation data to the electrical equipment for display.

3. The energy storage dynamic charging and discharging method according to claim 2, wherein: Generating power supply recommendation data based on the obtained comprehensive line loss rate includes: Establish a power supply recommendation display interface, which includes a first area for filling the upper view of the site, a second area for filling the radiation area, and a third area; Generate the same number of vertically arranged recommended areas in the third area based on the number of elements corresponding to the energy storage elements, and each recommended area includes a horizontally arranged line loss slot and a specification slot; Determine an element frame based on the different division element groups where the energy storage elements are located, and update the element frame based on the element states of other energy storage elements located in the same division element group; Fill the line loss rates in different recommended areas in ascending order along the vertical arrangement direction into the line loss slots, and fill the updated element frame into the corresponding specification slots.

4. The energy storage dynamic charging and discharging method according to claim 3, wherein: Updating the element frame based on the element states of other energy storage elements located in the same division element group includes: Divide each element frame to obtain sub-frames corresponding to each other energy storage element located in the same division element group; Respond to the element state of any other energy storage element being in a vacant state, and retrieve a first marker to mark the sub-frame corresponding to the other energy storage element; Respond to the element state of any other energy storage element being in an occupied state, and retrieve a second marker to mark the sub-frame corresponding to the other energy storage element.

5. The energy storage dynamic charging and discharging method according to claim 4, wherein: The method further includes: Obtain the number of sub - frames included in each element frame, and configure different benchmark recommended values for different numbers of sub - frames, where the benchmark recommended value decreases as the number of sub - frames increases; In response to the existence of other energy storage elements with an occupied state among any divided element groups, obtain the occupancy number corresponding to the occupied state, and configure different recommended weight values for different occupancy numbers, where the recommended weight value decreases as the occupancy number increases; Multiply the benchmark recommended value corresponding to the same energy storage element by the recommended weight value to obtain the specification recommended value corresponding to each energy storage element; When it is determined that the user contacts any specification slot based on the electrical equipment, arrange each recommended area in the third area in a descending order based on the specification recommended value.

6. The energy storage dynamic charge - discharge method according to claim 3, wherein: The method further includes: Generate price slots based on each recommended area and retrieve the benchmark charging cost value; Based on the vertical arrangement, determine the target area as the recommended area at the first place, and determine the remaining other recommended areas as the optional area group; Determine the additional energy storage cost based on the comprehensive line loss rate of each recommended area in the optional area group, and determine the estimated energy storage cost based on the sum of the additional energy storage cost and the benchmark energy storage cost; Determine the benchmark energy storage cost as the estimated energy storage cost corresponding to the target area, and fill each estimated energy storage cost into the corresponding price slot.

7. The energy storage dynamic charge - discharge method according to claim 6, wherein: The method further includes: In response to the existence of the same target area in the power supply recommendation display interfaces of multiple different electrical equipment, determine the route distance for each electrical equipment to reach the target area based on the radiation area corresponding to each electrical equipment; Based on the ratio relationship between the route distance and the preset vehicle speed retrieved, determine the driving time corresponding to each electrical equipment; Sum up the mark scanning time of the position mark code corresponding to each electrical equipment and the driving time corresponding to the same electrical equipment, and determine the electrical equipment with the smallest resulting corresponding time as the recommended equipment, and determine each other electrical equipment except the target equipment as the non - recommended equipment; Based on the vertical arrangement, determine the recommended area after the target area in the power supply recommendation display interface of each non - recommended equipment as the target area.

8. The energy storage dynamic charge - discharge method according to claim 7, wherein: The method further includes: In response to any electrical equipment scanning any position mark code in the energy storage site, trigger the mark acquisition unit corresponding to the same position relationship as the position mark code to perform image acquisition on the electrical equipment, and determine the driving direction corresponding to the electrical equipment based on the obtained equipment image; In response to the existence of the same target area in the power supply recommendation display interfaces of multiple different electrical equipment, generate the driving route for each electrical equipment to reach the target area based on the radiation area corresponding to each electrical equipment, and determine the route direction corresponding to the driving route for the electrical equipment. In response to the driving direction being different from the route direction, the preset U-turn time retrieved is summed with the driving time of the vehicle to obtain the updated driving time of the vehicle.

9. The energy storage dynamic charge and discharge method according to claim 1, wherein determining that a power supply relationship is established between the electrical device and the energy storage component, and updating the reference line loss rate of each energy storage unit included in the energy storage component based on the device position of the corresponding electrical device to obtain the current line loss rate, including: in response to the energy storage component establishing a power supply relationship with the electrical device based on the energy storage line, determining the first port position of the charging port of the corresponding electrical device based on the device position of the corresponding electrical device, and obtaining the second port position of the energy storage port of the corresponding energy storage component; establishing a port connection line connecting the charging port and the energy storage port with the first port position as the starting point and the second port position as the ending point, and determining the extended line loss rate based on the extended length of the corresponding port connection line; performing a fusion calculation on the attribute weight value retrieved based on the power supply attribute of the corresponding power supply relationship and the extended line loss rate, and updating the reference line loss rate of each energy storage unit included in the energy storage component with the obtained new line loss rate to obtain the current line loss rate.

10. The energy storage dynamic charge and discharge method according to claim 1, wherein obtaining the historical usage data corresponding to each energy storage unit, and determining the healthy energy storage coefficient based on the current line loss rate and the historical usage data, including: determining the current cycle number of the corresponding energy storage unit based on the obtained historical usage data, and obtaining the cycle usage rate based on the ratio of the current cycle number to the rated cycle number; performing a product calculation on the cycle usage rate and the preset attenuation value, and determining the healthy energy storage coefficient of the corresponding energy storage unit based on the obtained cycle attenuation value and the current line loss rate.

11. The energy storage dynamic charge and discharge method according to claim 1, wherein controlling the energy storage component to perform a discharge operation on the electrical device based on the obtained unit sequence, including: obtaining the expected charge amount uploaded by the user device and the stored energy amount of each energy storage unit; superimposing the stored energy amounts of each energy storage unit with the energy storage unit at the first position as the starting point along the forward arrangement order of the unit sequence based on the unit sequence, and determining all the energy storage units whose sum of the corresponding stored energy amounts is greater than or equal to the expected charge amount as the discharge unit group; controlling each energy storage unit in the discharge battery group to perform a discharge operation based on the forward arrangement order of the unit sequence, and in response to the stored energy amount of any energy storage unit in the discharge unit group being less than the preset power amount, controlling the energy storage unit to perform a charging operation.

12. A dynamic charge and discharge system for energy storage, characterized in that, including: a line loss update module configured to determine that a power supply relationship is established between the electrical device and the energy storage component, and update the reference line loss rate of each energy storage unit included in the energy storage component based on the device position of the corresponding electrical device to obtain the current line loss rate; a health assessment module configured to obtain the historical usage data corresponding to each energy storage unit, and determine the healthy energy storage coefficient based on the current line loss rate and the historical usage data; The control discharge module is configured to perform unit sorting on the energy storage unit based on the healthy energy storage coefficient, and control the energy storage assembly to perform a discharge operation on the electrical equipment based on the obtained unit sequence.

Images