Vehicle-network interaction energy optimization control method and device and computer storage medium

Abstract

The application discloses a kind of energy optimization control method, device and computer storage medium of vehicle-network interaction, the method includes the following steps: receiving the charging request sent by car, determines the corresponding target charging capacity according to the charging request;According to the target charging capacity and the power grid load monitored in real time, the charging speed of the car is dynamically adjusted, to ensure that the charging speed can match the power grid load monitored while meeting the target charging capacity;On the one hand, it will not meet the charging demand of car due to the large power grid load, on the other hand, it will not affect the normal operation of power grid due to meeting the charging demand of car, through the comprehensive trade-off of charging speed and charging time, the full and reasonable use of electric energy can be realized.

Description

Technical Field

[0001] This application relates to the field of energy optimization control, and in particular to a vehicle-to-grid (V2G) energy optimization control method, device, and computer storage medium. Background Technology

[0002] Electric vehicles are a type of new energy vehicle, and compared to gasoline vehicles, they are more environmentally friendly. However, during the charging process, typical charging stations connect the charging head to the vehicle, providing a constant charge. Because the charging speed cannot be adjusted, this can lead to wasted energy or incomplete charging, resulting in low energy utilization of the charging station. Furthermore, charging demand surges in tourist areas during holidays, while residential areas typically experience higher electricity consumption during non-holiday periods. Without proper energy optimization, this can easily lead to power shortages. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an energy optimization control method, device and computer storage medium for vehicle-to-grid interaction, which can realize the full and rational utilization of electrical energy.

[0004] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0005] A vehicle-to-grid (V2G) energy optimization control method includes the following steps:

[0006] Receive a charging request sent by the vehicle, and determine the corresponding target charging amount based on the charging request;

[0007] The charging speed of the vehicle is dynamically adjusted based on the target charging amount and the real-time monitored grid load to ensure that the charging speed matches the monitored grid load while meeting the target charging amount.

[0008] Furthermore, the dynamic adjustment of the charging speed of the vehicle includes:

[0009] If the real-time monitored grid load is greater than a first preset threshold, the charging speed of the vehicle is reduced and the charging time is extended to meet the target charging amount.

[0010] If the real-time monitored grid load is less than the second preset threshold, the charging speed of the vehicle is increased and the charging time is shortened to meet the target charging amount.

[0011] Furthermore, it also includes the following steps:

[0012] Receive a stop charging request sent by the vehicle, and determine the amount of charge already applied based on the stop charging request;

[0013] If the amount of charge already applied is less than the target amount of charge, then the remaining amount of charge is determined based on the amount of charge already applied and the target amount of charge.

[0014] The remaining battery power is stored according to the predetermined charging speed.

[0015] Furthermore, it also includes:

[0016] Set up a corresponding account for each car, and each account has a corresponding storage repository;

[0017] The step of storing the remaining power according to a predetermined charging speed includes:

[0018] The remaining battery power is stored in the vehicle's corresponding storage device according to the predetermined charging speed.

[0019] Furthermore, it also includes:

[0020] Set up a corresponding account for each car;

[0021] After storing the remaining power according to the predetermined charging speed, the process further includes the following steps:

[0022] The remaining battery power will accumulate points for the account associated with the car.

[0023] Furthermore, it also includes the following steps:

[0024] Receive fast charging requests;

[0025] Based on the fast charging request, determine whether there is battery power in the vehicle's corresponding storage device. If there is, increase the charging speed according to the battery power in the storage device; otherwise, reject the fast charging request.

[0026] Furthermore, it also includes the following steps:

[0027] Receive fast charging requests;

[0028] Based on the fast charging request, determine whether the account corresponding to the car has points. If it does, increase the charging speed based on the points in the account; otherwise, reject the fast charging request.

[0029] Furthermore, it also includes the following steps:

[0030] Receive shared charging requests;

[0031] Based on the shared charging request, the remaining battery power is stored in the shared library.

[0032] To solve the above-mentioned technical problems, another technical solution adopted by the present invention is as follows:

[0033] A vehicle-to-grid (V2G) energy optimization control device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the aforementioned V2G energy optimization control method.

[0034] To solve the above-mentioned technical problems, another technical solution adopted by the present invention is as follows:

[0035] A computer-readable storage medium having stored thereon computer program instructions, which, when executed by a processor, implement the steps of the above-described energy optimization control method for vehicle-to-grid interaction.

[0036] The beneficial effects of this invention are as follows: When an electric vehicle is charging, the target charging amount is first determined based on the charging request. Then, the charging speed of the vehicle is dynamically adjusted based on the target charging amount and the real-time monitored grid load. This ensures that while meeting the target charging amount, the charging speed can match the monitored grid load. That is, if the grid load is high, the charging speed is reduced and the charging time is extended; if the grid load is low, the charging speed is increased and the charging time is shortened. This ensures that the overall charging request of the vehicle can be met. On the one hand, the charging demand of the vehicle will not be unmet due to a high grid load, and on the other hand, the normal operation of the grid will not be affected by meeting the charging demand of the vehicle. Through a comprehensive balance between charging speed and charging time, the full and rational utilization of electrical energy can be achieved, thus realizing energy optimization. Attached Figure Description

[0037] Figure 1 This is a flowchart illustrating the steps of an energy optimization control method for vehicle-to-grid interaction according to an embodiment of the present invention.

[0038] Figure 2 This is a circuit structure diagram for implementing power grid monitoring according to an embodiment of the present invention;

[0039] Figure 3 This is a schematic diagram of the structure of an energy optimization control device for vehicle-to-grid interaction according to an embodiment of the present invention. Detailed Implementation

[0040] To explain in detail the technical content, objectives, and effects of the present invention, the following description is provided in conjunction with the embodiments and accompanying drawings.

[0041] The energy optimization control method, device, and computer storage medium for vehicle-to-grid interaction described in this application are applicable to vehicle charging scenarios, such as electric vehicles. The following detailed implementation methods illustrate these methods:

[0042] Please refer to Figure 1In one optional implementation, a vehicle-to-grid (V2G) energy optimization control method includes the following steps:

[0043] S1. Receive a charging request sent by the vehicle, and determine the corresponding target charging amount based on the charging request;

[0044] S2. The charging speed of the vehicle is dynamically adjusted according to the target charging amount and the real-time monitored grid load to ensure that the charging speed can match the monitored grid load while meeting the target charging amount.

[0045] Figure 2 The diagram shown is a schematic of the circuit structure used in this embodiment for real-time charge monitoring of the power grid, which includes:

[0046] A charging station is a device that outputs electrical energy; electric vehicles are charged through charging stations.

[0047] The power grid monitoring equipment, installed inside the charging pile, can monitor the power grid load in real time.

[0048] The power output control device is installed inside the charging pile and can control the output current of the charging pile.

[0049] The central processing unit is located inside the charging pile. It is connected to the output power control device and the power grid monitoring equipment. The central processing unit can control the output power control device based on the real-time monitored power grid load and the target charging amount of the electric vehicle, and dynamically adjust the charging speed of the electric vehicle through the output power control device.

[0050] In practice, when a vehicle is connected to a charging pile, it sends a charging request to the central processing unit. When the connection between the vehicle and the charging pile is detected, the power grid monitoring equipment monitors the load in the power grid in real time and then feeds the information back to the central processing unit.

[0051] The central processing unit determines the target charging amount based on the charging request, and issues instructions to the output power control device according to the target charging amount and the real-time monitored grid load. The power control device then dynamically adjusts the output power speed of the charging pile.

[0052] The dynamic adjustment of the charging speed of the vehicle includes:

[0053] If the real-time monitored grid load is greater than a first preset threshold, the charging speed of the vehicle is reduced and the charging time is extended to meet the target charging amount.

[0054] If the real-time monitored grid load is less than the second preset threshold, the charging speed of the vehicle is increased and the charging time is shortened to meet the target charging amount.

[0055] In this embodiment, when residential electricity consumption is high, the corresponding charge in the power grid is also high. The power grid monitoring equipment can monitor the load of the power grid and feed back the charge information to the central processing unit. The central processing unit then reduces the charging speed based on the target charging amount and the fed-back charge information, but delays the charging time to ensure the user's charging needs. When residential electricity consumption is low, the corresponding charge in the power grid is also low. The power grid monitoring equipment can monitor the load of the power grid and feed back the charge information to the central processing unit. The central processing unit then increases the charging speed based on the target charging amount and the fed-back charge information, thereby shortening the charging time and ensuring the user's charging needs.

[0056] In another alternative implementation, the following steps are also included:

[0057] Receive a stop charging request sent by the vehicle, and determine the amount of charge already applied based on the stop charging request;

[0058] If the amount of charge already applied is less than the target amount of charge, then the remaining amount of charge is determined based on the amount of charge already applied and the target amount of charge.

[0059] The remaining battery power is stored according to the predetermined charging speed. For example, if it should take another t time to fully charge and reach the target charging amount, and the user submits a stop charging request at time t1, the remaining battery power that the user has not fully charged can be stored at the predetermined charging speed during the subsequent time period t-t1.

[0060] In this embodiment, if the user feels that the amount of charge already received is sufficient to meet their needs before reaching their target charging amount, they can terminate the charging process in advance to avoid further waiting and improve the flexibility of charging.

[0061] To store the remaining electricity, an additional energy storage device can be installed. This device stores the remaining electricity, and a central processing unit controls the charging of the energy storage device to provide the corresponding amount of electricity. During the charging process:

[0062] In one alternative implementation, it also includes:

[0063] Set up a corresponding account for each car, and each account has a corresponding storage repository;

[0064] The step of storing the remaining power according to a predetermined charging speed includes:

[0065] The remaining battery power is stored in the vehicle's corresponding storage device according to the predetermined charging speed.

[0066] In this embodiment, a corresponding virtual storage repository can be set up for each user. When the remaining electricity corresponding to the user is stored in the energy storage device, the electricity in the corresponding virtual storage repository is adaptively accumulated.

[0067] Another alternative implementation also includes:

[0068] Set up a corresponding account for each car;

[0069] After storing the remaining power according to the predetermined charging speed, the process further includes the following steps:

[0070] The remaining battery power will accumulate points for the account associated with the car.

[0071] In this embodiment, a corresponding account can be set up for each user. When the remaining electricity corresponding to the user is stored in the energy storage device, the corresponding account is adaptively accumulated with points.

[0072] In the above embodiments, if a user ends charging early, the electricity that should have been charged is stored through an energy storage device. During the storage process, an accumulation mechanism is set for the corresponding user in different ways, creating a new charging mode. The electricity that the user did not fully charge can be stored for priority use next time, thus improving the flexibility of charging and ensuring that the user can make fuller use of electrical energy.

[0073] In another alternative implementation, to fulfill the car's fast charging request:

[0074] In one alternative implementation, the following steps are also included:

[0075] Receive fast charging requests;

[0076] Based on the fast charging request, determine whether there is battery power in the vehicle's corresponding storage device. If there is, increase the charging speed according to the battery power in the storage device; otherwise, reject the fast charging request.

[0077] In another alternative implementation, the following steps are also included:

[0078] Receive fast charging requests;

[0079] Based on the fast charging request, determine whether the account corresponding to the car has points. If it does, increase the charging speed based on the points in the account; otherwise, reject the fast charging request.

[0080] In this embodiment, if a user feels that the current charging speed is too slow, and if they have previously stored electrical energy in the energy storage device, they can send a fast charging request. The charging speed is increased based on the electrical energy previously stored in the energy storage device. This way, the power grid is not occupied, and the user's temporary fast charging needs can be met. This further optimizes the charging mode and can more fully and flexibly meet the user's charging needs.

[0081] In another alternative implementation, the following steps are also included:

[0082] Receive shared charging requests;

[0083] Based on the shared charging request, the remaining battery power is stored in the shared library.

[0084] In this embodiment, the remaining power that a user does not fully charge during a current charge can be stored in a shared library. This way, when other users who do not have power stored in their energy storage devices need to fast charge temporarily, they can use the power in the shared library, thus meeting the user's occasional needs, greatly improving the user's charging experience, and enabling more efficient configuration and utilization of electrical energy.

[0085] In another alternative implementation, please refer to Figure 3 A vehicle-to-grid (V2G) energy optimization control device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the V2G energy optimization control method described in any of the above embodiments.

[0086] In another alternative embodiment, a computer-readable storage medium stores computer program instructions thereon, which, when executed by a processor, implement the steps of the energy optimization control method for vehicle-to-grid interaction described in any of the above embodiments.

[0087] In summary, the present invention provides a vehicle-to-grid (V2G) energy optimization control method, device, and computer storage medium. When an electric vehicle is charging, the target charging amount is first determined based on the charging request. Then, the charging speed of the vehicle is dynamically adjusted based on the target charging amount and the real-time monitored grid load. This ensures that the charging speed matches the monitored grid load while meeting the target charging amount. Specifically, if the grid load is high, the charging speed is reduced and the charging time is extended; if the grid load is low, the charging speed is increased and the charging time is shortened. This ensures that the overall charging request of the vehicle is met, preventing situations where the charging speed cannot be met due to a high grid load. While meeting the charging needs of vehicles, the system does not disrupt the normal operation of the power grid. By comprehensively balancing charging speed and charging time, it achieves full and rational utilization of electrical energy. Users can end charging early, and any remaining charge can be stored in an energy storage device and linked to their account for easy access during fast charging. Users can also store remaining charge as shared energy to meet the needs of other users, creating a new charging mode that more fully and flexibly meets user charging needs and optimizes energy usage.

[0088] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent modifications made based on the content of the present invention specification and drawings, or direct or indirect applications in related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A vehicle-to-grid (V2G) energy optimization control method, characterized in that, Including the following steps: Receive a charging request sent by the vehicle, and determine the corresponding target charging amount based on the charging request; The charging speed of the vehicle is dynamically adjusted based on the target charging amount and the real-time monitored grid load to ensure that the charging speed can match the real-time monitored grid load while meeting the target charging amount. Also includes: Receive a stop charging request sent by the vehicle, and determine the amount of charge already applied based on the stop charging request; If the amount of charge already received is less than the target amount of charge received, then the remaining amount of charge is determined based on the amount of charge already received and the target amount of charge received. The remaining power is stored according to the predetermined charging speed; Set up a corresponding account for each car, and each account has a corresponding storage repository; The step of storing the remaining power according to a predetermined charging speed includes: The remaining battery power is stored in the vehicle's corresponding storage device according to the predetermined charging speed; Receive shared charging requests; Based on the shared charging request, the remaining battery power is stored in the shared library.

2. The energy optimization control method for vehicle-to-grid interaction according to claim 1, characterized in that, The dynamic adjustment of the charging speed of the vehicle includes: If the real-time monitored grid load is greater than a first preset threshold, the charging speed of the vehicle is reduced and the charging time is extended to meet the target charging amount. If the real-time monitored grid load is less than the second preset threshold, the charging speed of the vehicle is increased and the charging time is shortened to meet the target charging amount.

3. The energy optimization control method for vehicle-to-grid interaction according to claim 1, characterized in that, Also includes: Set up a corresponding account for each car; After storing the remaining power according to the predetermined charging speed, the process further includes the following steps: The remaining battery power will accumulate points for the account associated with the car.

4. The energy optimization control method for vehicle-to-grid interaction according to claim 1, characterized in that, It also includes the following steps: Receive fast charging requests; Based on the fast charging request, determine whether there is battery power in the vehicle's corresponding storage device. If there is, increase the charging speed according to the battery power in the storage device; otherwise, reject the fast charging request.

5. The energy optimization control method for vehicle-to-grid interaction according to claim 3, characterized in that, It also includes the following steps: Receive fast charging requests; Based on the fast charging request, determine whether the account corresponding to the car has points. If it does, increase the charging speed based on the points in the account; otherwise, reject the fast charging request.

6. A vehicle-to-grid (V2G) energy optimization control device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the energy optimization control method for vehicle-to-grid interaction as described in any one of claims 1 to 5.

7. A computer-readable storage medium having computer program instructions stored thereon, characterized in that, When the computer program instructions are executed by the processor, they implement the steps of the energy optimization control method for vehicle-to-grid interaction as described in any one of claims 1 to 5.

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