Charging station charging strategy self-adaptive adjustment method based on electric red operation system

Through the Dianhong operating system, charging and discharging vehicles are dynamically diverted within the charging station, and V2G parking spaces are allocated preferentially to discharging vehicles, solving the problem of inflexible resource utilization in charging stations and improving charging efficiency and user experience.

CN120621129APending Publication Date: 2025-09-12CHINA SOUTHERN POWER GRID ELECTRIC VEHICLE SERVICE CO LTD
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Patent Information

Application Number
CN202510988253.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-17
Publication Date
2025-09-12

AI Technical Summary

Technical Problem

The information of charging piles of different brands in charging stations cannot be integrated, users fail to plan ahead, resulting in charging in groups, charging strategies are not flexible enough, slow-charging vehicles occupy parking spaces for a long time, resource utilization efficiency is low, and the phenomenon of fully charged vehicles occupying parking spaces is common.

Method used

Through the Dianhong operating system, the equipment in the charging station is integrated to obtain the number of vehicles in the queue and vehicle information, dynamically divert charging and discharging vehicles, prioritize the allocation of V2G parking spaces for discharging vehicles, and dynamically adjust the charging strategy based on vehicle information and parking space information, including discharge sorting, vehicle access control, diversion mode and charging upper limit adjustment.

Benefits of technology

It improves the utilization efficiency of V2G parking spaces, reduces vehicle queuing time, increases the turnover rate of charging piles, allows users to independently choose charging stations to avoid crowding, optimizes resource allocation, and improves overall charging efficiency and user experience.

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Abstract

The invention discloses a charging station charging strategy self-adaptive adjustment method based on an electric red operating system. The electric red operation system obtains the number of queuing vehicles and vehicle information through operation equipment in the charging station, and obtains parking space information in the charging station, and the vehicle information comprises vehicle types supported by the vehicles, charging modes, queuing intentions and residual electric quantity; dynamic shunting is carried out according to the queuing intention, a first queuing queue is adopted for first queuing vehicles with the queuing intention being charging, a second queuing queue is adopted for second queuing vehicles with the queuing intention being discharging, and V2G parking spaces are used in the discharging mode; and dynamically adjusting a charging strategy of the charging station according to the number of queuing vehicles, the vehicle information and the parking space information. The charging strategy of the charging station can be dynamically adjusted according to the vehicle types, the charging modes, the queuing intention and the queuing number of the queuing vehicles, the charging efficiency can be improved, and the queuing time can be shortened.
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Description

Technical Field

[0001] The present invention relates to the field of new energy vehicle charging technology, and in particular to a method for adaptively adjusting charging strategies of charging stations based on a Dianhong operating system. Background Art

[0002] With the increasing popularity of new energy vehicles, the supply and demand imbalance at charging stations has become increasingly prominent, with long queues and low charging station utilization becoming industry pain points. The long queues for electric vehicle charging are partly due to: a lack of integrated information on charging stations from different brands, a lack of advance planning based on the number of vehicles queuing at charging stations, and a lack of flexibility in charging station policies, which fail to adjust based on the number of vehicles waiting to charge. This lack of flexibility also means there's no mechanism to divert vehicles that only support slow charging. When queues are crowded, slow-charging vehicles occupy parking spaces for extended periods, resulting in low charging station turnover. Furthermore, the widespread phenomenon of fully charged vehicles continuously occupying parking spaces further reduces resource utilization efficiency. Summary of the Invention

[0003] In order to overcome the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a charging station charging strategy adaptive adjustment method based on the Dianhong operating system to solve the problems raised by the above-mentioned background technology.

[0004] The technical solution adopted by the present invention to solve its technical problem is: a method for adaptively adjusting the charging strategy of a charging station based on the Dianhong operating system, comprising the following steps;

[0005] The Dianhong operating system obtains the number of vehicles in the queue and vehicle information through the operating equipment in the charging station, as well as the parking space information in the charging station. The vehicle information includes the vehicle model supported, charging mode, queuing intention, and remaining power;

[0006] Dynamically divert traffic based on queuing intentions. Vehicles in the first queue with the intention of charging will be assigned to the first queue, while vehicles in the second queue with the intention of discharging will be assigned to the second queue. The discharging mode uses V2G parking spaces.

[0007] Dynamically adjust the charging strategy of the charging station based on the number of queued vehicles, vehicle information and parking space information.

[0008] As a further improvement of the present invention, the obtaining of the number of queued vehicles and vehicle information by operating equipment in the charging station includes:

[0009] At the entrance and inside the charging station, cameras and charging piles are used to obtain the number of vehicles in the queue, vehicle information, parking space types and the number of each parking space type. Parking space types include supercharging spaces, fast charging spaces, slow charging spaces, automatic charging spaces, and V2G two-way interactive spaces.

[0010] As a further improvement of the present invention: the dynamic diversion according to queuing intention includes:

[0011] The first-queue vehicles whose queuing intention is to charge use the first queue, enter the parking space through the first entrance channel, and use the parking space for charging; the second-queue vehicles whose queuing intention is to discharge use the second queue, enter the parking space through the second entrance channel, and use the V2G two-way interactive parking space for discharge.

[0012] As a further improvement of the present invention, the method of dynamically adjusting the charging strategy of the charging station according to the number of queued vehicles, vehicle information, and parking space information includes:

[0013] Adjust the charging strategy based on the number of vehicles in the first and second queues and their corresponding vehicle models, charging modes, remaining power, and parking space types and quantities. The charging strategy includes:

[0014] Discharge sequencing takes precedence over charging mode, vehicle access control mode, vehicle diversion mode, and charge cap adjustment mode.

[0015] As a further improvement of the present invention: the discharge sequence takes precedence over the charge mode, including:

[0016] When a second-queue vehicle in discharge mode is detected, the V2G two-way interactive parking space is preferentially determined to be used by the second-queue vehicle for discharge; when no second-queue vehicle is detected, the V2G two-way interactive parking space is determined to be used by the first-queue vehicle for charging.

[0017] As a further improvement of the present invention: the vehicle admission control mode includes:

[0018] When the number of vehicles in charging mode exceeds the total number of charging parking spaces, only pure electric models are allowed to enter; if the number of charging mode queues does not exceed the total number of parking spaces, pure electric and hybrid models are allowed to enter, and parking spaces are allocated according to the parking space type that matches the model.

[0019] As a further improvement of the present invention: the vehicle diversion mode includes:

[0020] Determine the charging spaces for vehicles in the first queue based on the highest charging mode supported by the vehicle and the number of vehicles in the first queue;

[0021] For fast-charging vehicles that support fast charging and supercharging vehicles that support supercharging, parking spaces are allocated according to the parking space type corresponding to the vehicle model;

[0022] As a further improvement of the present invention: the vehicle diversion mode further includes:

[0023] For vehicles that only support slow charging, if the number of queues exceeds the total number of parking spaces, calculate whether their remaining power can reach the replacement charging station; if so, prompt to go; if not, set the upper limit of the power that the slow-charging vehicle can reach at the current charging station to reach the replacement station.

[0024] As a further improvement of the present invention: the charging upper limit adjustment mode includes:

[0025] The charging limit is limited in different levels based on the ratio of the number of vehicles in the first queue to the number of parking spaces in the charging station;

[0026] In the charging upper limit dynamic adjustment module, the calculation formula of the duty cycle value is:

[0027]

[0028] The number of V2G parking spaces occupied is the number of V2G parking spaces occupied by vehicles in discharge mode.

[0029] As a further improvement of the present invention, the charging upper limit adjustment mode further includes: limiting the charging upper limit in a graded manner according to the occupancy ratio value:

[0030] When the occupancy ratio is <1, the vehicle is charged to 100%;

[0031] When 1≤occupancy ratio<2, the vehicle is charged to 90%;

[0032] When the occupancy ratio is ≥ 2, the vehicle is charged to 80%.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] This application integrates the equipment in the charging station through the Dianhong operating system, obtains the number of queued vehicles, vehicle information and parking space information, dynamically diverts according to queuing intentions, manages charging mode and discharge mode vehicles separately, allocates V2G parking spaces to discharge vehicles first, improves the utilization efficiency of V2G parking spaces, and dynamically adjusts the charging strategy according to the number of queued vehicles, vehicle information and parking space information, which can improve charging efficiency, reduce vehicle queuing time, and increase the turnover rate of charging piles. Users can choose charging stations according to the charging conditions of each charging station to avoid crowding. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the method flow structure of the present invention. DETAILED DESCRIPTION

[0036] In order to enable a clear and complete understanding of the technical solution, the present invention is further described in conjunction with the embodiments and drawings. Obviously, the described embodiments are only some embodiments of the present invention, and all other embodiments obtained by technical personnel in the relevant field without making creative work are within the scope of protection of the present invention.

[0037] It will be understood that when used in this specification and the appended claims, the terms “comprises” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0038] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in the specification and appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0039] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0040] Dianhong is an IoT operating system that adapts to the characteristics of the power industry. It is based on open source Hongmeng and open source Euler, and selects the technical capability set that is most suitable for power scenarios. On this basis, it adds a "characteristic application layer" for the power system. Through the Internet of Things communication protocol, a system is implemented to cover different types and brands of power equipment, connecting massive power equipment terminals from different manufacturers for information exchange and communication, realizing rapid adaptation of IoT devices, and integrating data from different devices.

[0041] This application is a charging station system based on the Dianhong operating system, including a main controller (application subject), various operating devices in the charging station (such as charging piles, cameras) and user terminals.

[0042] An embodiment of the present invention provides a method for adaptively adjusting charging strategy of a charging station based on a Dianhong operating system, comprising the following steps:

[0043] The Dianhong operating system obtains the number of vehicles in the queue and vehicle information through the operating equipment in the charging station, as well as the parking space information in the charging station. The vehicle information includes the vehicle model supported, charging mode, queuing intention, and remaining power;

[0044] Dynamically divert traffic based on queuing intentions. Vehicles in the first queue with the intention of charging will be assigned to the first queue, while vehicles in the second queue with the intention of discharging will be assigned to the second queue. The discharging mode uses V2G parking spaces.

[0045] Dynamically adjust the charging strategy of the charging station based on the number of queued vehicles, vehicle information and parking space information.

[0046] This application integrates the equipment in the charging station through the Dianhong operating system, obtains the number of queued vehicles, vehicle information and parking space information, dynamically diverts according to queuing intentions, manages charging mode and discharge mode vehicles separately, allocates V2G parking spaces to discharge vehicles first, improves the utilization efficiency of V2G parking spaces, and dynamically adjusts the charging strategy according to the number of queued vehicles, vehicle information and parking space information, which can improve charging efficiency, reduce vehicle queuing time, and increase the turnover rate of charging piles. Users can choose charging stations according to the charging conditions of each charging station to avoid crowding.

[0047] In one embodiment of the present invention, obtaining the number of queued vehicles and vehicle information by operating a device in the charging station includes:

[0048] At the entrance and inside the charging station, cameras and charging piles are used to obtain the number of vehicles in the queue, vehicle information, parking space types and the number of each parking space type. Parking space types include supercharging spaces, fast charging spaces, slow charging spaces, automatic charging spaces, and V2G two-way interactive spaces.

[0049] The charging station is provided with a charging entrance and exit. At the entrance of the charging station, the number of vehicles in the queue (excluding vehicles being charged) is obtained through a camera, as well as the type of parking spaces in the charging station and the number of each type of parking spaces. The camera and the charging pile obtain vehicle information of the queuing vehicles, including the vehicle model supported, charging mode, queuing intention, and remaining power. Among them, the vehicle model includes two types: pure electric and hybrid. The charging mode includes slow charging only, fast charging, and super charging. The queuing intention includes charging and discharging modes. The charging mode is used to instruct the charging station to charge the queuing vehicle, and the discharging mode is used to instruct the queuing vehicle to discharge to the charging station. In this application, based on the matching of vehicle information and parking space information, the vehicle diversion path can be dynamically planned, and the charging mode and discharging mode vehicles are managed separately according to the queuing intention. V2G parking spaces are allocated preferentially to discharging vehicles to improve the utilization efficiency of special parking spaces. On the other hand, by accurately grasping the number and type of queuing vehicles, when the queue is crowded, vehicles that only support slow charging can be recommended to replace the charging station nearby, avoiding resource waste, reducing the phenomenon of users charging in groups, optimizing the allocation of charging station resources, shortening the vehicle queuing time, and improving the overall charging efficiency and user experience.

[0050] In one embodiment of the present invention, the dynamic diversion according to queuing intention includes:

[0051] The first-queue vehicles whose queuing intention is to charge use the first queue, enter the parking space through the first entrance channel, and use the parking space for charging; the second-queue vehicles whose queuing intention is to discharge use the second queue, enter the parking space through the second entrance channel, and use the V2G two-way interactive parking space for discharge.

[0052] In this embodiment, by dynamically diverting vehicles based on queuing intent, the first-queue vehicles in charging mode and the second-queue vehicles in discharging mode are managed in different queues, achieving efficient utilization of charging station resources. First, charging mode vehicles are assigned a first entry channel and a conventional charging parking space to meet vehicle charging needs. Separately, discharging mode vehicles are assigned a second entry channel and are given priority in V2G two-way interactive parking spaces, meeting grid-side peak load regulation and energy storage needs. This improves the specificity and efficiency of V2G parking spaces, avoids process conflicts between charging and discharging vehicles, and reduces vehicle waiting and scheduling time. At the same time, leveraging the device integration capabilities of the Dianhong operating system, queuing intent is matched with parking space resources, optimizing charging station operations and enhancing the user charging experience.

[0053] In one embodiment of the present invention, the dynamically adjusting the charging strategy of the charging station according to the number of queued vehicles, vehicle information, and parking space information includes:

[0054] Adjust the charging strategy based on the number of vehicles in the first and second queues and their corresponding vehicle models, charging modes, remaining power, and parking space types and quantities. The charging strategy includes:

[0055] Discharge sequencing takes precedence over charging mode, vehicle access control mode, vehicle diversion mode, and charge cap adjustment mode.

[0056] In one embodiment of the present invention, the discharge sequence takes precedence over the charge sequence, including:

[0057] When a second-queue vehicle in discharge mode is detected, the V2G two-way interactive parking space is prioritized for use by the second-queue vehicle for discharge; when no second-queue vehicle is detected, the V2G two-way interactive parking space is prioritized for use by the first-queue vehicle for charging. By setting the V2G parking space allocation with discharge mode taking precedence over charging mode, the interaction efficiency and resource utilization between the charging station and the power grid can be improved. With the device collaboration capability of the Dianhong operating system, when a second-queue vehicle in discharge mode is present, the V2G two-way interactive parking space is prioritized for discharge operations, which can respond to grid peak load regulation, energy storage and other needs in a timely manner, help the grid balance load fluctuations, and create discharge income for car owners; and when there is no discharge vehicle, the V2G parking space is switched to the first-queue vehicle in charging mode to avoid idle parking spaces and maximize the use of V2G parking space resources.

[0058] In one embodiment of the present invention, the vehicle access control mode includes:

[0059] When the number of vehicles in charging mode exceeds the total number of charging spaces, only pure electric vehicles are allowed to enter. If the number of vehicles in the charging mode queue does not exceed the total number of parking spaces, pure electric and hybrid vehicles are allowed to enter, and parking spaces are allocated according to the parking type that matches the vehicle model. When the number of vehicles in the first queue exceeds the number of charging spaces in the charging station, only pure electric vehicles are allowed to enter. When the number of vehicles in the first queue does not exceed the number of charging spaces, both pure electric and hybrid vehicles are allowed to enter. By setting an admission control mode based on the number of vehicles and the total number of parking spaces, the efficiency of charging station resource allocation can be effectively adjusted. When the number of vehicles in charging mode exceeds the total number of charging spaces, only pure electric vehicles are allowed to enter, which can ensure that vehicles with more urgent battery life needs can be charged and prevent hybrid vehicles from occupying limited resources. When the number of vehicles in the queue does not exceed the total number of parking spaces, pure electric and hybrid vehicles are allowed to enter at the same time and parking spaces are matched according to vehicle model to ensure full utilization of resources.

[0060] In one embodiment of the present invention, the vehicle diversion mode includes:

[0061] Determine the charging spaces for vehicles in the first queue based on the highest charging mode supported by the vehicle and the number of vehicles in the first queue;

[0062] For fast-charging vehicles that support fast charging and supercharging vehicles that support supercharging, parking spaces are allocated according to the parking space type corresponding to the vehicle model;

[0063] Furthermore, the vehicle diversion mode also includes:

[0064] For vehicles that only support slow charging, if the number of queues exceeds the total number of parking spaces, calculate whether their remaining power can reach the replacement charging station; if so, prompt to go; if not, set the upper limit of the power that the slow-charging vehicle can reach at the current charging station to reach the replacement station.

[0065] In this embodiment, for slow-charging vehicles with a charging mode of "only slow charging", when the number of vehicles in the first queue exceeds the number of charging spaces in the charging station, the remaining power of the vehicles with a charging mode of "only slow charging" is obtained; the driving distance between the current charging station and other nearby replacement charging stations with more remaining spaces is obtained; based on the remaining power and the driving distance, it is determined whether the replacement charging station can be reached; if so, the slow-charging vehicle is prompted to go to the replacement charging station for charging; if not, the charging limit of the slow-charging vehicle at the current charging station is set to the power required to reach the replacement charging station. After the required power is charged, the slow-charging vehicle is prompted to go to the replacement charging station for charging; when the number of vehicles in the first queue does not exceed the number of charging spaces in the charging station, parking spaces are allocated according to the parking space type corresponding to the vehicle model;

[0066] For fast-charging vehicles that support fast charging and supercharging vehicles that support supercharging, parking spaces are allocated according to the parking space type corresponding to the vehicle model;

[0067] In some embodiments, the main controller can obtain the model of the charging pile in the charging station and allocate parking spaces according to the vehicle model and the charging pile model.

[0068] In one embodiment of the present invention, the charging upper limit adjustment mode includes:

[0069] The charging limit is limited in different levels based on the ratio of the number of vehicles in the first queue to the number of parking spaces in the charging station;

[0070] In the charging upper limit dynamic adjustment module, the calculation formula of the duty cycle value is:

[0071]

[0072] The number of V2G parking spaces occupied is the number of V2G parking spaces occupied by vehicles in discharge mode.

[0073] In one embodiment of the present invention, the charging upper limit adjustment mode further includes: limiting the charging upper limit in stages according to the duty cycle value:

[0074] When the occupancy ratio is <1, the vehicle is charged to 100%;

[0075] When 1≤occupancy ratio<2, the vehicle is charged to 90%;

[0076] When the occupancy ratio is ≥ 2, the vehicle is charged to 80%.

[0077] In this embodiment, the occupancy ratio of the number of vehicles in the first queue to the number of parking spaces in the charging station can be calculated. If the occupancy ratio is less than 1, the vehicles being charged are charged according to the normal charging upper limit, such as 100%; if the occupancy ratio is greater than or equal to 1 and less than 2, the vehicles being charged are charged according to 90% of the normal charging upper limit; if the occupancy ratio exceeds 2, the vehicles being charged are charged according to 80% of the normal charging upper limit.

[0078] Through the Dianhong operating system, the charging status of each charging station is integrated, and users can choose the charging station according to the charging status of each charging station to avoid crowding; the charging strategy of the charging station is dynamically adjusted according to the model, charging mode, queuing intention and number of vehicles in the queue, which can improve charging efficiency and reduce waiting time.

[0079] In summary, after reading the present invention document, ordinary technicians in this field can make various other corresponding transformation schemes based on the technical solutions and technical concepts of the present invention without creative mental work, and all of them fall within the scope of protection of the present invention.

Claims

1. A method for adaptively adjusting charging strategy of a charging station based on the Dianhong operating system, characterized in that: The following steps are included: The Dianhong operating system obtains the number of vehicles in the queue and vehicle information through the operating equipment in the charging station, as well as the parking space information in the charging station. The vehicle information includes vehicle model, charging mode, queuing intention, and remaining power; Dynamically divert traffic based on queuing intentions. Vehicles in the first queue with the intention of charging will be assigned to the first queue, while vehicles in the second queue with the intention of discharging will be assigned to the second queue. The discharging mode uses V2G parking spaces. Dynamically adjust the charging strategy of the charging station based on the number of queued vehicles, vehicle information and parking space information.

2. The method for adaptively adjusting charging strategy of a charging station based on the Dianhong operating system according to claim 1 is characterized in that: The obtaining of the number of queued vehicles and vehicle information by operating equipment in the charging station includes: At the entrance and inside the charging station, cameras and charging piles are used to obtain the number of vehicles in the queue, vehicle information, parking space types and the number of each parking space type. Parking space types include supercharging spaces, fast charging spaces, slow charging spaces, automatic charging spaces, and V2G two-way interactive spaces.

3. The method for adaptively adjusting charging strategy of a charging station based on the Dianhong operating system according to claim 1 is characterized in that: The dynamic diversion based on queuing intention includes: The first-queue vehicles whose queuing intention is to charge use the first queue, enter the parking space through the first entrance channel, and use the parking space for charging; the second-queue vehicles whose queuing intention is to discharge use the second queue, enter the parking space through the second entrance channel, and use the V2G two-way interactive parking space for discharge.

4. The method for adaptively adjusting charging strategy of a charging station based on the Dianhong operating system according to claim 1, characterized in that: The method of dynamically adjusting the charging strategy of the charging station according to the number of queued vehicles, vehicle information, and parking space information includes: Adjust the charging strategy based on the number of vehicles in the first and second queues and their corresponding vehicle models, charging modes, remaining power, and parking space types and quantities. The charging strategy includes: Discharge sequencing takes precedence over charging mode, vehicle access control mode, vehicle diversion mode, and charge cap adjustment mode.

5. The method for adaptively adjusting charging strategy of a charging station based on the Dianhong operating system according to claim 4 is characterized in that: The discharge priority over charge mode includes: When a second-queue vehicle in discharge mode is detected, the V2G two-way interactive parking space is preferentially determined to be used by the second-queue vehicle for discharge; when no second-queue vehicle is detected, the V2G two-way interactive parking space is determined to be used by the first-queue vehicle for charging.

6. The method for adaptively adjusting charging strategy of a charging station based on the Dianhong operating system according to claim 4 is characterized in that: The vehicle access control mode includes: When the number of vehicles in charging mode exceeds the total number of charging parking spaces, only pure electric models are allowed to enter; if the number of charging mode queues does not exceed the total number of parking spaces, pure electric and hybrid models are allowed to enter, and parking spaces are allocated according to the parking space type that matches the model.

7. The method for adaptively adjusting charging strategy of a charging station based on the Dianhong operating system according to claim 4 is characterized in that: The vehicle diversion mode includes: Determine the charging spaces for vehicles in the first queue based on the highest charging mode supported by the vehicle and the number of vehicles in the first queue; For fast-charging vehicles that support fast charging and super-charging vehicles that support super-charging, parking spaces are allocated according to the parking space type corresponding to the vehicle model.

8. The method for adaptively adjusting charging strategy of a charging station based on the Dianhong operating system according to claim 7 is characterized in that: The vehicle diversion mode also includes: For vehicles that only support slow charging, if the number of queues exceeds the total number of parking spaces, calculate whether their remaining power can reach the replacement charging station; if so, prompt to go; if not, set the upper limit of the power that the slow-charging vehicle can reach at the current charging station to reach the replacement station.

9. The method for adaptively adjusting charging strategy of a charging station based on the Dianhong operating system according to claim 4, characterized in that: The charging upper limit adjustment mode includes: The charging limit is limited in different levels based on the ratio of the number of vehicles in the first queue to the number of parking spaces in the charging station; In the charging upper limit dynamic adjustment module, the calculation formula of the duty cycle value is: The number of V2G parking spaces occupied is the number of V2G parking spaces occupied by vehicles in discharge mode.

10. The method for adaptively adjusting charging strategy of a charging station based on the Dianhong operating system according to claim 9, characterized in that: The charging upper limit adjustment mode also includes: limiting the charging upper limit according to the occupancy rate value: When the occupancy ratio is <1, the vehicle is charged to 100%; When 1≤occupancy ratio<2, the vehicle is charged to 90%; When the occupancy ratio is ≥ 2, the vehicle is charged to 80%.