V2V energy exchange control method and device based on electric vehicle charging station, electronic equipment and storage medium

Abstract

The invention discloses a V2V energy exchange control method and device based on an electric vehicle charging station, electronic equipment and a storage medium, and the method comprises the steps: obtaining energy from a power grid to charge a vehicle in response to a first mode of the electric vehicle charging station EVCS; and when it is detected that the energy does not meet the requirement, starting a second mode of the EVCS to obtain energy from the vehicle to charge the vehicle. The dynamic energy network is constructed through V2V energy exchange, the energy availability rate of the charging station is improved when the power grid breaks down, and the problems of energy shortage and service interruption are thoroughly solved. An idle electric vehicle battery is converted into a distributed energy storage unit through an intelligent optimization algorithm, the resource utilization rate is improved, meanwhile, a dynamic target function integrating income cost and real-time electricity price is developed, V2V income is provided, the charging requirement of a charging electric vehicle can be met, and the charging efficiency is improved. And the reliability, economy and sustainability system of the charging infrastructure is comprehensively reconstructed.

Description

Technical Field

[0001] This application relates to the technical field of electric vehicle charging stations, and particularly to a V2V energy exchange control method, device, electronic device, and storage medium based on an electric vehicle charging station. Background Art

[0002] Electric vehicle charging stations (EVCS) rely on the power grid or fixed energy storage systems for power supply, and are prone to service interruptions in the event of power grid failures or energy shortages, causing inconvenience to users (e.g., 60% of the challenges stem from this).

[0003] Solutions in related technologies such as demand response, dynamic electricity price models, and local fixed energy storage can partially alleviate the problem, but have defects such as insufficient flexibility and high costs. When the power grid power supply is insufficient, fails, or local energy storage resources are limited, traditional electric vehicle charging stations (EVCS) cannot dynamically dispatch energy, resulting in charging service interruptions and users being unable to complete vehicle charging. Summary of the Invention

[0004] Embodiments of this application provide a V2V energy exchange control method, device, electronic device, and storage medium based on an electric vehicle charging station to achieve energy exchange between vehicles and simultaneously alleviate the energy shortage of EVCS.

[0005] Embodiments of this application adopt the following technical solutions:

[0006] In a first aspect, embodiments of this application provide a V2V energy exchange control method based on an electric vehicle charging station, where the control method includes:

[0007] Responding to a first mode of an electric vehicle charging station EVCS, obtaining energy from the power grid to charge a vehicle; and

[0008] In the case where it is detected that the energy does not meet the requirements, starting a second mode of the EVCS to obtain energy from the vehicle to charge the vehicle.

[0009] In some embodiments, the starting the second mode of the EVCS to obtain energy from the vehicle to charge the vehicle in the case where it is detected that the energy does not meet the requirements includes:

[0010] Starting the second mode of the EVCS to establish an objective function for maximizing the revenue of the EVCS to obtain energy from the vehicle to charge the vehicle:

[0011]

[0012] where f(x) is the objective function to be solved;

[0013] where B ev (ch), Cgrid , C v2v respectively represent the charging revenue of electric vehicles, the cost of purchasing electricity from the grid, and the discharging cost of electric vehicles;

[0014] Among them, e c , e g , e s respectively represent the charging electricity price of electric vehicles, the electricity price of purchasing electricity from the grid, and the V2V discharging electricity price at time t.

[0015] In some embodiments, satisfying the power supply balance during the charging and discharging process is

[0016]

[0017] Among them, P ev-i represents the charging power of the battery of the i-th electric vehicle, i ∈ 1, 2, 3,..., m;

[0018] Among them, P V2V represents the total power provided by the batteries of all electric vehicles participating in V2V;

[0019] Among them, P grid represents the power provided by the public power grid.

[0020] In some embodiments, the P grid satisfies the maximum and minimum limits within each time step as follows:

[0021] P grid,min ≤ P grid,t ≤ P grid,max t = 1, 2,... T. (3)

[0022] In some embodiments, according to different weights, the discharging power priority of V2V electric vehicles is set

[0023]

[0024] Among them, M i represents the discharging priority of the i-th electric vehicle participating in V2V;

[0025] Among them, W j (j = 1, 2, 3) are different weight coefficients;

[0026] Among them, SOC i represents the current SOC of the i-th electric vehicle participating in V2V discharging;

[0027] Among them, SOC all represents the sum of the SOCs of all electric vehicles participating in V2V discharging;

[0028] Among them, Twait-i Represents the access waiting time of the i-th electric vehicle participating in V2V discharging;

[0029] Among them, T wait-all Represents the sum of the waiting times for V2V vehicles to access the charging station system;

[0030] Among them, Qi represents the battery capacity of the i-th electric vehicle participating in V2V discharging, and Qall represents the sum of the battery capacities of all V2V vehicles;

[0031] Among them, N(s) means that if the current state of charge of the electric vehicle is less than or equal to the set stop threshold, it is set to 0, indicating that the electric vehicle immediately stops discharging; if it is greater than SOC limit , then it continues to participate in the V2V strategy.

[0032] In some embodiments, after obtaining the discharge power priority M of different V2V electric vehicles, the power P to be provided by the battery of each electric vehicle participating in V2V V2V , and the total power demand WEI of the charging station for P V2V :

[0033]

[0034] Among them, P v2v-k Represents the discharge power of the battery of the k-th electric vehicle, where i ∈ 1, 2, 3,..., n.

[0035] In some embodiments, it further includes:

[0036] The relationship between the state of charge SOC, current, and time of the battery is:

[0037]

[0038] Among them, SOC is the change in the state of charge of the electric vehicle battery during charging or discharging operations;

[0039] Among them, I is the charging and discharging current, Δt is the time interval, and Q max is the maximum battery capacity;

[0040] For each vehicle, current limits are imposed on charging and discharging, and charging and discharging cycles are limited:

[0041] I charging,min ≤I charging,t ≤I charging,max (5)

[0042] I discharging,min ≤I discharging,t ≤I discharging , max (6)

[0043] SOC min ≤SOC t ≤SOC max 。 (7)

[0044] In a second aspect, an embodiment of the present application further provides a V2V energy exchange control device based on an electric vehicle charging station, where the control device includes:

[0045] A first mode module, configured to obtain energy from the power grid to charge the vehicle in response to a first mode of the electric vehicle charging station EVCS; and

[0046] A second mode module, configured to start a second mode of the EVCS to obtain energy from the vehicle to charge the vehicle when it is detected that the energy does not meet the requirements.

[0047] In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor; and a memory arranged to store computer-executable instructions, where the executable instructions, when executed, cause the processor to execute the above method.

[0048] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium stores one or more programs, and when the one or more programs are executed by an electronic device including a plurality of application programs, the electronic device is caused to execute the above method.

[0049] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects: Obtain energy from the power grid to charge the vehicle in response to the first mode of the electric vehicle charging station EVCS, and at the same time, when it is detected that the energy does not meet the requirements, start the second mode of the EVCS to obtain energy from the vehicle to charge the vehicle. By integrating vehicle-to-vehicle (V2V) energy exchange technology and the coordinated control of electric vehicle charging stations (EVCS), a dynamic energy scheduling network is constructed to solve the problem of charging service interruption during power grid failures or energy shortages. Description of the Drawings

[0050] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The schematic embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation of the present application. In the drawings:

[0051] Figure 1 is a schematic flowchart of a V2V energy exchange control method based on an electric vehicle charging station in an embodiment of the present application;

[0052] Figure 2 is a schematic structural diagram of a V2V energy exchange control device based on an electric vehicle charging station in an embodiment of the present application;

[0053] Figure 3 This is a schematic structural diagram of an electronic device in an embodiment of the present application. Specific embodiments

[0054] To make the objectives, technical solutions, and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and the corresponding drawings. Apparently, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the scope of protection of the present application.

[0055] The disadvantages of an electric vehicle charging station (EVCS) are as follows:

[0056] 1) Rigid energy supply: relying on a centralized power grid or fixed energy storage, unable to flexibly respond to sudden energy shortages. 2) Underutilization of distributed resources: the battery energy storage of electric vehicles itself is not integrated into a dynamic energy replenishment network, resulting in waste of resources; 3) Battery management defects: the charging strategy lacks refined control of the state of charge (SOC), leading to over-discharge or overcharging of the battery, accelerating battery degradation.

[0057] Integration of vehicle-to-vehicle (V2V) energy exchange to alleviate the energy shortage problem of an electric vehicle charging station EVCS. By allowing electric vehicles with higher battery energy storage to directly transfer energy to other electric vehicles with lower battery energy storage, thereby replenishing the energy resources of the charging station during an energy shortage. By integrating V2V energy exchange technology, autonomous scheduling of distributed energy, battery health protection, and a sustainable energy trading mechanism can be achieved during a power grid failure.

[0058] The following will, in conjunction with the drawings, elaborate on the technical solutions provided by each embodiment of the present application.

[0059] An embodiment of the present application provides a V2V energy exchange control method based on an electric vehicle charging station, as Figure 1 shown, provides a schematic flowchart of a V2V energy exchange control method based on an electric vehicle charging station in an embodiment of the present application. The method at least includes the following steps S110 to step S140:

[0060] Step S110, in response to a first mode of an electric vehicle charging station EVCS, obtain energy from the power grid to charge the vehicle.

[0061] The EVCS architecture can be divided into two operating modes: G2V (Grid to Vehicle): In the normal mode, the EVCS obtains energy from the grid to charge the vehicle, which is the first mode. V2V (Vehicle to Vehicle): When the EVCS detects insufficient energy, such as a grid fault or a sudden surge in charging demand, it triggers the V2V mode, allowing high - battery - capacity vehicles to directly transfer energy to low - battery - capacity vehicles, which is the second mode.

[0062] The adoption of V2V energy exchange technology enables electric vehicles with sufficient battery energy storage to directly transfer some of their stored energy to another electric vehicle, thus supplementing the electric vehicle charging network during periods when the energy demand of the EVCS exceeds the current storage capacity or during grid faults.

[0063] Step S120, when it is detected that the energy does not meet the requirements, start the second mode of the EVCS to obtain energy from the vehicle to charge the vehicle.

[0064] When it is detected that the energy does not meet the requirements, implement the V2V operation model with the help of charging piles, that is, allow electric vehicles with high energy potential to unidirectionally transfer energy to another electric vehicle with low energy potential. The objective function aims to achieve V2V charging operation, that is, transfer energy from the power - supplying electric vehicle to the receiving electric vehicle through the charging pile to meet the requested charging demand and fully charge the receiving electric vehicle.

[0065] Through the above - mentioned method, not only is the utilization of available energy in the energy network maximized, but also a cooperative energy ecosystem among electric vehicle users is promoted. By optimizing electric vehicle charging stations with V2V capabilities, the resilience and reliability of the electric vehicle charging network can be enhanced, ensuring continuous service even under restricted conditions.

[0066] Existing electric vehicle charging stations EVCS rely too much on the grid or fixed energy storage systems (such as batteries, solar panels), and cannot flexibly allocate resources during grid faults or sudden energy shortages, resulting in the interruption of charging services. This leads to a centralized dependence on energy supply and a lack of distributed dynamic scheduling capabilities. In the embodiments of the present application, through V2V energy exchange, the distributed battery energy storage of electric vehicles is integrated into a dynamic energy network to achieve autonomous energy scheduling and reduce the dependence on centralized supply.

[0067] Existing research has mostly focused on grid optimization or independent V2V technologies, but has not deeply integrated V2V with the operation of electric vehicle charging stations EVCS, resulting in the under - utilization of mobile energy storage resources. The potential of energy sharing between vehicles has not been effectively utilized. In the embodiments of the present application, V2V exchange is embedded in the core architecture of electric vehicle charging stations EVCS, and energy transfer between vehicles is automatically triggered when the grid energy is insufficient, forming a dynamic energy supplement network.

[0068] Existing control strategies do not consider the collaborative effects of multiple variables such as environmental temperature and battery state (e.g., SOC, C-rate), resulting in low charging and discharging efficiency. There is a lack of multi-scenario adaptation algorithms. In the embodiments of the present application, based on a multi-variable optimization algorithm, the charging and discharging rates are dynamically adjusted to ensure safety and efficiency.

[0069] Due to centralized energy supply, extensive management, and the lack of an economic model in the prior art, the EVCS lacks reliability during energy shortages. In the embodiments of the present application, through V2V dynamic scheduling, refined SOC control, economic feasibility analysis, and multi-variable algorithms, the above-mentioned defects are systematically overcome, and the resilience of the charging network and user satisfaction are improved.

[0070] In one embodiment of the present application, when it is detected that the energy does not meet the requirements, starting the second mode of the EVCS to obtain energy from the vehicle to charge the vehicle includes:

[0071] Starting the second mode of the EVCS to establish an objective function to maximize the profit of the EVCS to obtain energy from the vehicle to charge the vehicle:

[0072]

[0073] In order to improve the operating profit of the EVCS during the charging / discharging of electric vehicles, the most relevant indicators are determined for analysis, involving factors such as the charging profit of electric vehicles, the cost of purchasing electricity from the grid, and the discharging cost of electric vehicles, with an objective function of maximizing the profit of the electric vehicle charging station.

[0074] Among them, f(x) is the objective function to be solved; among them, B ev (ch), C grid , C v2v respectively represent the charging profit of electric vehicles, the cost of purchasing electricity from the grid, and the discharging cost of electric vehicles; B ev (ch), C grid , C v2v The calculated values of are the cumulative sum of the electricity price and power multiplied during the corresponding period. Among them, e c , e g , e s respectively represent the charging electricity price of electric vehicles, the electricity price of purchasing electricity from the grid, and the V2V discharging electricity price at time t.

[0075] In one embodiment of the present application, accurately simulating the charging / discharging process of electric vehicles to satisfy the power supply balance during the charging / discharging process is

[0076]

[0077] Among them, P ev-irepresents the battery charging power of the i-th electric vehicle, where i ∈ 1, 2, 3, ..., m; among them, P V2V represents the total power provided by the batteries of all electric vehicles participating in V2V; among them, P grid represents the power provided from the public power grid. P ev-i and P V2V are in the unit of kilowatt.

[0078] In an embodiment of the present application, the P grid satisfies the maximum and minimum limit ranges of each time step as follows:

[0079] P grid,min ≤P grid,t ≤P grid,max t = 1, 2, ... T. (3)

[0080] The V2V energy exchange process is managed by a set of control algorithms, which manage the decision-making process according to different factors such as SOC and energy availability constraints. The key considerations of the control algorithms are: (a) Decision-making algorithm based on SOC: The main algorithm determines which vehicles are eligible to provide energy according to the SOC level of the vehicle. (b) Energy flow management algorithm: This algorithm calculates the optimal energy distribution to be transmitted between multiple vehicles according to multiple factors such as SOC, waiting time, and battery power, while ensuring efficient energy utilization without exceeding the battery limit. It takes into account the dynamic data of the power-supplying and receiving electric vehicles to maintain safe operation.

[0081] According to different weights, set the discharge power priority of V2V electric vehicles. Its unified quantization formula for V2V strategy can be adjusted by changing the weight coefficient Wj (j = 1, 2, 3), and it is specifically implemented through the following formula:

[0082] According to different weights, set the discharge power priority of V2V electric vehicles

[0083]

[0084] Among them, M i represents the discharge priority of the i-th electric vehicle participating in V2V; among them, W j (j = 1, 2, 3) are different weight coefficients; among them, SOC i represents the current SOC of the i-th electric vehicle participating in V2V discharge; among them, SOC all represents the sum of the SOCs of all electric vehicles participating in V2V discharge; among them, T wait-i represents the access waiting time of the i-th electric vehicle participating in V2V discharge; among them, T wait-allIt represents the sum of the waiting times for V2V vehicles to access the charging station system; where Qi represents the battery capacity of the i-th electric vehicle participating in V2V discharging, and Qall represents the sum of the battery capacities of all V2V vehicles; where N(s) means that if the current state of charge of the electric vehicle is less than or equal to the set stop threshold, it is set to 0, indicating that the electric vehicle immediately stops discharging; if it is greater than SOC limit , then it continues to participate in the V2V strategy.

[0085] In one embodiment of the present application, the relationship between the state of charge (SOC), current, and time of the battery is given by equation (4)

[0086]

[0087] where SOC is the change in the state of charge of the electric vehicle battery during charging or discharging operations, I is the charging and discharging current, Δt is the time interval, and Qmax is the maximum battery capacity.

[0088] For each electric vehicle, current is limited for its charging / discharging, and the charging / discharging cycle is limited.

[0089] I charging,min ≤I charging,t ≤I charging,max (5)

[0090] I discharging,min ≤I discharging,t ≤I discharging,max (6)

[0091] SOC min ≤SOC t ≤SOC max (7)

[0092] In one embodiment of the present application, after obtaining the discharge power priority M of different V2V electric vehicles, the power P to be provided by the battery of each electric vehicle participating in V2V V2V , and the total power demand W of the charging station for P V2V : EI :

[0093]

[0094] where P v2v-k represents the discharge power of the battery of the k-th electric vehicle, in kilowatts. Where i ∈ 1, 2, 3,..., n.

[0095] In one embodiment of the present application, by using the constraint conditions of formulas (2) to (11) and substituting them into formula (1) for solution, the discharge power of all electric vehicles participating in V2V can be finally determined, enabling the entire charging station to operate in the most economical operation mode. All the above operation steps are repeated after the next time cycle. For each cycle, updated data will be obtained and the optimization process will be executed again. In this way, the entire charging station can continuously adjust dynamically to maintain the continuous operation of the system.

[0096] The embodiment of the present application also provides a V2V energy exchange control device 200 based on an electric vehicle charging station, as Figure 2 shown, which provides a schematic structural diagram of the V2V energy exchange control device based on an electric vehicle charging station in the embodiment of the present application. The V2V energy exchange control device 200 based on an electric vehicle charging station at least includes: a first mode module 210 and a second mode module 220, where:

[0097] In one embodiment of the present application, the first mode module 210 is specifically configured to: in response to the first mode of the electric vehicle charging station EVCS, obtain energy from the power grid to charge the vehicle.

[0098] The EVCS architecture can be divided into two operating modes: G2V (grid to vehicle): In the normal mode, the EVCS obtains energy from the power grid to charge the vehicle, which is the first mode. V2V (vehicle to vehicle): When the EVCS detects insufficient energy, such as a power grid failure or a surge in charging demand, it triggers the V2V mode, allowing high-battery vehicles to directly transfer energy to low-battery vehicles, which is the second mode.

[0099] The use of V2V energy exchange technology enables electric vehicles with sufficient battery energy storage to directly transfer some of their stored energy to another electric vehicle, thereby supplementing the electric vehicle charging network during periods when the energy demand of the EVCS exceeds the current storage capacity or during a power grid failure.

[0100] In one embodiment of the present application, the second mode module 220 is specifically configured to: when it is detected that the energy does not meet the requirements, start the second mode of the EVCS to obtain energy from the vehicle to charge the vehicle.

[0101] When it is detected that the energy does not meet the requirements, a V2V operation model is implemented by means of a charging pile, that is, an electric vehicle with a high energy potential is allowed to unidirectionally transfer energy to another electric vehicle with a low energy potential. The purpose of the objective function is to implement V2V charging operation, that is, to transfer energy from the power-supplying electric vehicle to the receiving electric vehicle through the charging pile to meet the requested charging demand and fully charge the receiving electric vehicle.

[0102] It can be understood that the above V2V energy exchange control device based on an electric vehicle charging station can implement each step of the V2V energy exchange control method based on an electric vehicle charging station provided in the foregoing embodiments. The relevant explanations regarding the V2V energy exchange control method based on an electric vehicle charging station are applicable to the V2V energy exchange control device based on an electric vehicle charging station, and will not be elaborated herein.

[0103] Figure 3 It is a schematic structural diagram of an electronic device according to an embodiment of the present application. Please refer to Figure 3 , at the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. Among them, the memory may include internal memory, such as high-speed random access memory (RAM), and may also include non-volatile memory, such as at least one disk memory, etc. Of course, the electronic device may also include other hardware required for other services.

[0104] The processor, network interface, and memory can be interconnected through an internal bus, and the internal bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity of representation, Figure 3 only a two-way arrow is used in

[0105] The memory is used to store programs. Specifically, the program may include program code, and the program code includes computer operation instructions. The memory may include internal memory and non-volatile memory, and provide instructions and data to the processor.

[0106] The processor reads the corresponding computer program from the non-volatile memory into the internal memory and then runs it, and forms a V2V energy exchange control device based on an electric vehicle charging station at the logical level. The processor executes the program stored in the memory and is specifically used to perform the following operations:

[0107] In response to the first mode of the electric vehicle charging station EVCS, obtain energy from the power grid to charge the vehicle; and

[0108] In the case where it is detected that the energy does not meet the requirements, start the second mode of the EVCS to obtain energy from the vehicle to charge the vehicle.

[0109] As described in this application Figure 1 The method executed by the V2V energy exchange control device based on an electric vehicle charging station disclosed in the above embodiments can be applied to or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by the integrated logic circuit in the hardware of the processor or by instructions in the form of software. The above processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute each method, step, and logic block diagram disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in combination with the embodiments of this application can be directly embodied as being executed and completed by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. This storage medium is located in the memory, and the processor reads the information in the memory and combines its hardware to complete the steps of the above method.

[0110] The electronic device can also execute Figure 1 the method executed by the V2V energy exchange control device based on an electric vehicle charging station in Figure 1 the embodiments shown, and implement the functions of the V2V energy exchange control device based on an electric vehicle charging station in the embodiments shown. The embodiments of this application will not be elaborated here.

[0111] The embodiments of this application also propose a computer-readable storage medium that stores one or more programs. The one or more programs include instructions that, when executed by an electronic device including multiple application programs, can enable the electronic device to execute Figure 1 the method executed by the V2V energy exchange control device based on an electric vehicle charging station in the embodiments shown, and are specifically used to execute:

[0112] In response to a first mode of an Electric Vehicle Charging Station (EVCS), obtain energy from the power grid to charge a vehicle; and

[0113] In the case where it is detected that the energy does not meet the requirements, start a second mode of the EVCS to obtain energy from the vehicle to charge the vehicle.

[0114] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0115] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in one or more flows Figure 1 one or more flows and / or blocks Figure 1 one or more blocks specified in the block diagram.

[0116] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that realize the functions specified in one or more flows Figure 1 one or more flows and / or blocks Figure 1 one or more blocks specified in the block diagram.

[0117] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in one or more flows Figure 1 one or more flows and / or blocks Figure 1 one or more blocks specified in the block diagram.

[0118] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and a memory.

[0119] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0120] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0121] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0122] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0123] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A V2V energy exchange control method based on an electric vehicle charging station, wherein: The control method comprises: In response to a first mode of the electric vehicle charging station EVCS, energy is obtained from the grid to charge the vehicle; and When it is detected that the energy source does not meet the requirement, the second mode of the EVCS is activated to obtain energy from the vehicle to charge the vehicle.

2. The method of claim 1, wherein: When it is detected that the energy source does not meet the requirement, starting the second mode of the EVCS to obtain energy from the vehicle to charge the vehicle comprises: The second mode of the EVCS is started to maximize the benefit of the EVCS and establish an objective function to obtain energy from the vehicle to charge the vehicle: Among them, f(x) is the target function to be solved; Among them, B ev (ch), C grid , C v2v They represent the revenue from charging electric vehicles, the cost of purchasing electricity from the power grid, and the cost of discharging electric vehicles; Among them, e c , e g , e s They represent the electric vehicle charging electricity price, the electricity price purchased from the power grid, and the V2V discharging electricity price during period t respectively.

3. The method of claim 2, wherein: The power supply balance during the charging and discharging process is Among them, P ev-i represents the battery charging power of the i-th electric vehicle, i∈1,2,3,...,m; Among them, P V2V Represents the total power provided by all electric vehicle batteries participating in V2V; Among them, P grid Indicates the power supplied from the utility grid.

4. The method of claim 3, wherein: The P grid The following minimum and maximum limits are met for each time step: P grid,min ≤P grid,t ≤P grid,max t=1,2,...T。 (3)。 5. The method of claim 1, wherein: Set the discharge power priority of V2V electric vehicles according to different weights Among them, M i Indicates the discharge priority of the i-th electric vehicle participating in V2V; Among them, W j (j=1,2,3) are different weight coefficients; Among them, SOC i represents the current SOC of the i-th electric vehicle participating in V2V discharge; Among them, SOC all Represents the sum of SOC of all EVs participating in V2V discharge; Among them, T wait-i represents the access waiting time of the i-th electric vehicle participating in V2V discharge; Among them, T wait-all It indicates the total waiting time for V2V vehicles to access the charging station system; Among them, Qi represents the battery capacity of the i-th electric vehicle participating in V2V discharge, and Qall represents the sum of the battery capacities of all V2V vehicles; Among them, N(s) means that if the current state of charge of the electric vehicle is less than or equal to the set stop threshold, it is set to 0, indicating that the electric vehicle stops discharging immediately; if it is greater than SOC limit , then continue to participate in the V2V strategy.

6. The method of claim 5, wherein: After obtaining the discharge power priority M of different V2V electric vehicles, the power P to be provided by each electric vehicle battery participating in V2V is V2V , and charging stations for P V2V The total power demand WEI: Among them, P v2v-k represents the battery discharge power of the kth electric vehicle, where i∈1,2,3,…,n.

7. The method of claim 1, wherein: Also includes: The relationship between battery state of charge SOC, current and time is: Among them, SOC is the change in the state of charge of the electric vehicle battery during charging or discharging operations; Where I is the charge and discharge current, Δt is the time interval, Q max is the maximum battery capacity; Current limiting is performed for each vehicle charge and discharge, limiting the charge and discharge cycles: I charging,min ≤I charging,t ≤I charging,max (5) I discharging,min ≤I discharging,t ≤I discharging,max (6) SOC min ≤SOC t ≤SOC max 。 (7)。 8. A V2V energy exchange control device based on an electric vehicle charging station, wherein: The control device comprises: A first mode module, configured to obtain energy from a power grid to charge a vehicle in response to a first mode of the electric vehicle charging station EVCS; and The second mode module is used to start the second mode of the EVCS to obtain energy from the vehicle to charge the vehicle when it is detected that the energy does not meet the requirement.

9. An electronic device, comprising: processor; as well as A memory arranged to store computer executable instructions, which when executed cause the processor to perform the method of any one of claims 1 to 7.

10. A computer-readable storage medium storing one or more programs, which, when executed by an electronic device including a plurality of application programs, causes the electronic device to execute any one of the methods of claims 1 to 7.

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