New energy vehicle charging platform management method and system

Abstract

The invention relates to the technical field of new energy vehicles, in particular to a new energy vehicle charging platform management method and system, and the method comprises the steps: collecting the data of a city charging platform, building a city charging platform model through the combination of a digital twin technology and the data of the city charging platform, building a management model, and obtaining a real-time charging demand; the real-time charging demand is input to the management model, the charging scheme is output through the management model, the historical charging data of the charging platform can also be collected, and the new charging platform is set in combination with the historical charging data, the real-time utilization rate of the charging platform is calculated through the management model, and the recommendation platform is searched for the user in combination with the real-time utilization rate. Moreover, a high-load platform can be screened based on the real-time utilization rate, and a new charging platform is arranged based on the high-load platform, thereby reducing the charging pressure of the region where the high-load platform is located.

Description

Technical Field

[0001] The present application relates to the field of new energy vehicle technology, and in particular to a new energy vehicle charging platform management method and system. Background Art

[0002] New energy vehicles refer to vehicles that use unconventional automotive fuels as their power source (or use conventional automotive fuels and adopt new on-board power devices), and integrate advanced technologies in vehicle power control and drive to form vehicles with advanced technical principles, new technologies, and new structures. The current mainstream new energy vehicles are mainly pure electric vehicles.

[0003] A Chinese patent with announcement number CN118691384B discloses a new energy vehicle charging platform management method and system, which uses a charging station management module to display detailed information of the charging station; an order management module to display order information; a coupon management module to manage and maintain coupons; a reconciliation management module to manage reconciliation record information; and a system management module to implement user group management, enumeration management, user management, department management, and role management. However, in the existing technology, the resources of the charging platform are unevenly distributed, resulting in the charging platforms in some areas being in a high-load operation state, making it inconvenient for car owners in this area to charge. Summary of the Invention

[0004] Based on this, it is necessary to propose a new energy vehicle charging platform management method and system to address the defect that traditional Internet of Things multi-node data is difficult to cope with peak data.

[0005] On the one hand, the present application provides a new energy vehicle charging platform management method, including:

[0006] Collect urban charging platform data and create an urban charging platform model by combining the urban charging platform data with digital twin technology;

[0007] Create a management model;

[0008] Obtain real-time charging demand, input the real-time charging demand into the management model, and output the charging plan through the management model;

[0009] Collect historical charging data of the charging platform and set up a new charging platform based on the historical charging data.

[0010] Preferably, the city charging platform data is collected and a city charging platform model is created by combining the city charging platform data with digital twin technology, including:

[0011] Create a charging platform database;

[0012] Setting collection parameters, collecting charging platform data of multiple charging platforms based on the collection parameters, and storing all collected charging platform data into a charging platform database; the charging platform data includes platform location information, platform charging pile information, and platform service information;

[0013] Obtain city map data and create city models through digital twin technology;

[0014] The charging platform data of multiple charging platforms are imported into the city model to generate a city charging platform model.

[0015] Preferably, the platform charging pile information includes quantity information, charging speed information and distribution information.

[0016] Preferably, obtaining real-time charging demand and inputting the real-time charging demand into a management model, and outputting a charging plan through the management model, including:

[0017] Collect real-time charging needs of real-time users;

[0018] Input real-time charging demands into management models;

[0019] Calculate the real-time utilization rate of the charging platform through the management model;

[0020] Filter recommended platforms based on real-time usage.

[0021] Preferably, the real-time utilization rate of the charging platform is calculated by the management model, including:

[0022] Select a charging platform and relevant data of the charging platform from a charging platform database;

[0023] The maximum charging power of the charging platform is calculated using formula 1;

[0024]

[0025] Among them, P is the maximum charging power of the charging platform, p i is the charging power of the i-th charging pile on the charging platform, and N is the total number of charging piles included in the charging platform;

[0026] The real-time utilization rate of the charging platform is calculated using Formula 2;

[0027]

[0028] Among them, V t is the real-time utilization rate of the charging platform, P t is the real-time charging power of the charging platform, and P is the maximum charging power of the charging platform;

[0029] Return to select a charging platform and related data of the charging platform from the charging platform database until all charging platforms in the charging platform database are selected, and obtain the real-time utilization rate of each charging platform.

[0030] Preferably, the recommended platforms are screened based on real-time usage, including:

[0031] Set usage thresholds;

[0032] Determine in turn whether the real-time usage rate of each charging platform is less than or equal to the usage rate threshold;

[0033] If the real-time usage rate of the charging platform is less than or equal to the usage rate threshold, the charging platform is recorded as a normal platform;

[0034] Obtain the platform location information of each normal platform and calculate the real-time distance between each normal platform and the user's real-time location;

[0035] Sort all normal platforms from near to far according to the real-time distance, filter and output the top M normal platforms; record the top M normal platforms as recommended platforms.

[0036] Preferably, collecting historical charging data of the charging platform and setting up a new charging platform based on the historical charging data includes:

[0037] Obtain historical charging data for each charging platform;

[0038] The actual utilization rate of each charging platform is calculated using Formula 3 based on historical charging data;

[0039]

[0040] Among them, V T is the actual utilization rate of the charging platform during the collection period, P t is the real-time charging power of the charging platform, and T is the collection period;

[0041] All charging platforms are sorted from high to low according to their actual usage rates, and the top K charging platforms are selected; the top K charging platforms are recorded as high-load platforms.

[0042] Preferably, collecting historical charging data of the charging platform and setting up a new charging platform based on the historical charging data further includes:

[0043] Obtain charging platform data for each high-load platform;

[0044] Obtain the closest normal platform to each high-load platform; record the closest normal platform to the high-load platform as the adjacent normal platform;

[0045] Set the load distance threshold;

[0046] Determine whether the distance between the high-load platform and the adjacent normal platform is greater than or equal to the load distance threshold;

[0047] If the distance between the high-load platform and the adjacent normal platform is greater than or equal to the load distance threshold, a new charging platform is set between the high-load platform and the adjacent normal platform;

[0048] If the distance between the high-load platform and the adjacent normal platform is less than the load distance threshold, the status quo is maintained.

[0049] Preferably, if the distance between the high-load platform and the adjacent load platform is less than or equal to the load distance threshold, setting a new charging platform between the high-load platform and the adjacent load platform includes:

[0050] Acquire multiple candidate location information of a new charging platform between a high-load platform and an adjacent normal platform;

[0051] The distance between each candidate position and other high-load platforms is calculated using Formula 4;

[0052]

[0053] Among them, D ab is the distance between the ath candidate position and the bth high-load platform, x a is the horizontal coordinate of the ath candidate position, y a is the ordinate of the ath candidate position, x b is the horizontal coordinate of the b-th high-conforming platform, y b is the ordinate of the bth high load;

[0054] Calculate the total distance from each alternative location to all other high-load platforms;

[0055] The candidate location with the smallest total distance value is selected and used as the location of the new charging platform.

[0056] On the other hand, the present application also provides a new energy vehicle charging platform management system, including a collection component and a management component, through which the city charging platform data is collected, and the management component executes any of the above-mentioned new energy vehicle charging platform management methods, the management component is communicated with the collection component, and the new energy vehicle charging platform is managed based on the city charging platform data through the management component.

[0057] The present application relates to a new energy vehicle charging platform management method and system. By collecting urban charging platform data, a city charging platform model is created by combining the urban charging platform data with digital twin technology. Then, a management model is created and real-time charging demand is obtained. The real-time charging demand is input into the management model, and a charging plan is output through the management model. The historical charging data of the charging platform can also be collected and a new charging platform can be set up based on the historical charging data. The present application calculates the real-time utilization rate of the charging platform through the management model, and finds recommended platforms for users based on the real-time utilization rate. It can also screen out high-load platforms based on the real-time utilization rate, and set up new charging platforms based on the high-load platforms, so as to reduce the charging pressure in the area where the high-load platforms are located. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 A flowchart of a new energy vehicle charging platform management method provided in one embodiment of the present application.

[0059] Figure 2 This is a structural diagram of a new energy vehicle charging platform management system provided in one embodiment of the present application.

[0060] Reference numerals: 100, acquisition component; 101, platform information acquisition module;

[0061] 102. User information collection module; 200. Management component. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solutions and advantages of this application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0063] On the one hand, the present application provides a new energy vehicle charging platform management method.

[0064] like Figure 1 As shown, in one embodiment of the present application, a new energy vehicle charging platform management method includes:

[0065] S100 collects urban charging platform data and creates a city charging platform model by combining the urban charging platform data with digital twin technology;

[0066] S200, creating a management model;

[0067] S300: Acquire real-time charging demand, input the real-time charging demand into a management model, and output a charging plan through the management model;

[0068] S400: Collect historical charging data of the charging platform, and set a new charging platform based on the historical charging data.

[0069] This embodiment relates to a new energy vehicle charging platform management method, which collects city charging platform data, creates a city charging platform model through digital twin technology combined with the city charging platform data, then creates a management model and obtains real-time charging demand, inputs the real-time charging demand into the management model, and outputs a charging plan through the management model. It can also collect historical charging data of the charging platform and set up a new charging platform based on the historical charging data. This application calculates the real-time utilization rate of the charging platform through the management model, and finds recommended platforms for users based on the real-time utilization rate. It can also screen out high-load platforms based on the real-time utilization rate, and set up new charging platforms based on the high-load platforms, so as to reduce the charging pressure in the area where the high-load platforms are located.

[0070] In one embodiment of the present application, the 100 includes:

[0071] S110, creating a charging platform database;

[0072] S120, setting collection parameters, collecting charging platform data of multiple charging platforms based on the collection parameters, and storing all collected charging platform data into a charging platform database; the charging platform data includes platform location information, platform charging pile information, and platform service information;

[0073] Specifically, the acquisition parameters include acquisition period and acquisition frequency;

[0074] S130, acquires city map data and creates a city model using digital twin technology;

[0075] Specifically, digital twin technology is a technology that creates virtual mirrors of physical entities through digital means and enables real-time data interaction and dynamic optimization. Its core function is to use sensors, the Internet of Things, artificial intelligence and other technologies to build digital models that evolve synchronously with physical objects, and to simulate, predict and optimize entity behavior;

[0076] S140: Import charging platform data of multiple charging platforms into the city model to generate a city charging platform model.

[0077] It should be noted that in this application, the charging platform data of multiple charging platforms in the city are collected based on the collection parameters, and then the platform location information and roads are imported into the city map data through digital twin technology, so that each charging platform is marked on the city map, so that users can see the charging platform directly on the map.

[0078] In one embodiment of the present application, the platform charging pile information includes quantity information, charging speed information and distribution information.

[0079] It should be noted that each charging platform contains multiple charging piles, which include two different types: fast charging piles and slow charging piles. Therefore, it is necessary to clearly collect this information contained in each charging platform so that the real-time utilization rate of the charging platform can be calculated more accurately.

[0080] In one embodiment of the present application, S300 includes:

[0081] S310, collecting real-time charging demands of real-time users;

[0082] S320, inputting the real-time charging demand into the management model, and performing a preliminary screening based on the real-time charging demand by the management model to obtain a plurality of candidate charging platforms;

[0083] S330, calculating the real-time utilization rate of the alternative charging platform through the management model;

[0084] S340, filtering out recommended platforms based on real-time usage.

[0085] It should be noted that the real-time charging demand is the real-time user's demand for this charging, which includes requirements such as the distance to the charging platform and the type of charging pile. After the real-time charging demand is input into the management model, the management model will first perform an initial screening of all charging platforms based on the real-time charging demand to ensure that the real-time user's needs are met. After the initial screening is completed, the management model calculates the real-time utilization rate of the alternative charging platforms obtained in the initial screening to obtain the optimal charging platform to ensure the user's charging efficiency.

[0086] In one embodiment of the present application, S330 includes:

[0087] S331, selecting an alternative charging platform and related data of the alternative charging platform from a charging platform database;

[0088] S332, calculating the maximum charging power of the charging platform using Formula 1;

[0089]

[0090] Where P is the maximum charging power of the alternative charging platform, p i is the charging power of the i-th charging pile of the alternative charging platform, and N is the total number of charging piles included in the alternative charging platform;

[0091] S333, calculating the real-time utilization rate of the alternative charging platform using Formula 2;

[0092]

[0093] Among them, V t is the real-time utilization rate of the alternative charging platform, Pt is the real-time charging power of the alternative charging platform, and P is the maximum charging power of the alternative charging platform;

[0094] S334 , returning to select an alternative charging platform and related data of the alternative charging platform from the charging platform database, until all the alternative charging platforms in the charging platform database are selected, and obtaining the real-time utilization rate of each alternative charging platform.

[0095] It should be noted that the maximum charging power is the power of all charging piles in the charging platform charging simultaneously per unit time. The maximum charging power changes with the number and type of charging piles in the charging platform. Generally speaking, the charging platform with a larger maximum charging power can provide higher quality charging services per unit time.

[0096] The real-time utilization rate is the ratio of the charging piles in use to the total number of charging piles in the charging platform. Due to the different types of charging piles, the real-time utilization rate cannot be calculated based solely on the number of charging piles in use. Instead, it must be calculated based on the number of charging piles in use and their corresponding types, that is, Among them, P t is the real-time charging power of the alternative charging platform, p i is the charging power of the i-th charging pile in use at the alternative charging platform, and n is the number of charging piles in use.

[0097] In one embodiment of the present application, S340 includes:

[0098] S341, setting a usage rate threshold;

[0099] S342, determining in sequence whether the real-time usage rate of each candidate charging platform is less than or equal to the usage rate threshold;

[0100] S343, if the real-time usage rate of the candidate charging platform is less than or equal to the usage rate threshold, then the candidate charging platform is marked as a normal platform;

[0101] S344, obtaining platform location information of each normal platform, and calculating the real-time distance between each normal platform and the user's real-time location;

[0102] S345, sorting all normal platforms from near to far according to the real-time distance, filtering and outputting the top M normal platforms; recording the top M normal platforms as recommended platforms;

[0103] Optionally, in addition to sorting normal platforms according to distance, they can also be sorted according to the real-time utilization rate of multiple normal platforms, with charging platforms with lower real-time utilization rates placed in front, thereby giving priority to recommending normal platforms with lower real-time utilization rates to improve the utilization rate of each charging platform and ensure the uniform distribution of charging resources.

[0104] It should be noted that if the real-time utilization rate of a charging platform is greater than the utilization rate threshold, it means that the charging platform has reached its load limit. Therefore, in order to reduce the charging pressure of the charging platform, the management model should lower the priority of these overloaded platforms when recommending to real-time users, and recommend the closest normal platform to the user based on the distance.

[0105] In one embodiment of the present application, S400 includes:

[0106] S410, obtaining historical charging data of each charging platform;

[0107] S420, calculating the actual usage rate of each charging platform based on historical charging data using Formula 3;

[0108]

[0109] Among them, V T is the actual utilization rate of the charging platform during the collection period, P t is the real-time charging power of the charging platform, and T is the collection period;

[0110] S430: Sort all charging platforms according to actual usage rates from highest to lowest, and select the top K charging platforms; the top K charging platforms are recorded as high-load platforms.

[0111] It should be noted that after a long period of data accumulation, the actual utilization rate of each charging platform in the city can be calculated using Formula 3. Since the actual utilization rate is a parameter within a period, the actual utilization rate can reflect the actual utilization efficiency of a charging platform. For example, if T is set to 2024.1.1-2025.1.1, then the charging platform with the highest actual utilization rate is the charging platform with the highest average utilization rate in the city during the collection period. Therefore, for a charging platform with a higher actual utilization rate, its charging load is also greater. Therefore, in order to reduce the charging load of high-load platforms, it is chosen to add new charging platforms between high-load platforms to alleviate charging pressure.

[0112] In one embodiment of the present application, the S400 further includes:

[0113] S440, obtaining charging platform data of each high-load platform;

[0114] S450, obtaining the normal platform closest to each high-load platform; recording the normal platform closest to the high-load platform as an adjacent normal platform;

[0115] S460, setting a load distance threshold;

[0116] Specifically, the load distance threshold is calculated by starting from the high-load platform and extending the route from the high-load platform to the nearest normal platform until the set distance is reached. Since the load distance threshold represents the range of the high-load platform, the greater the maximum charging power of the charging platform, the greater the load distance threshold.

[0117] S470, determining whether the distance between the high-load platform and the adjacent normal platform is greater than or equal to a load distance threshold;

[0118] S480, if the distance between the high-load platform and the adjacent normal platform is greater than or equal to the load distance threshold, setting a new charging platform between the high-load platform and the adjacent normal platform;

[0119] S490: If the distance between the high-load platform and the adjacent normal platform is less than the load distance threshold, the status quo is maintained.

[0120] It should be noted that since high-load platforms are generally located in densely populated areas, if the distance between a high-load platform and an adjacent normal platform is greater than or equal to the load distance threshold, it means that the distance between the high-load platform and the nearest normal platform is too far, that is, the overall charging pressure in the area where the high-load platform is located is too high. Therefore, a new charging platform needs to be set up to alleviate the charging pressure in the area.

[0121] When the distance between a high-load platform and an adjacent normal platform is less than the load distance threshold, due to the close distance, when the charging pressure of the high-load platform is greater, the user can choose to charge at a closer normal platform. Therefore, the overall charging pressure in the high-load area is not large, so a new charging platform may not be set up to reduce the waste of charging resources.

[0122] In one embodiment of the present application, S480 includes:

[0123] S481, obtaining multiple candidate location information of a new charging platform between a high-load platform and an adjacent normal platform;

[0124] S482, calculating the distance between each candidate position and other high-load platforms using Formula 4;

[0125]

[0126] Among them, D abis the distance between the ath candidate position and the bth high-load platform, x a is the horizontal coordinate of the ath candidate position, y a is the ordinate of the ath candidate position, x b is the horizontal coordinate of the b-th high-conforming platform, y b is the ordinate of the bth high load;

[0127] S483, calculating the total distance from each candidate position to all other high-load platforms;

[0128] S484: Select an alternative location with the smallest total distance value and use the alternative location as the location of the new charging platform.

[0129] It should be noted that since a new charging platform needs to be set up, in order to improve the utilization rate of the new charging platform, the alternative location with the smallest total distance to all other high-load platforms is selected as the location of the new charging platform, thereby reducing the charging pressure of the nearest high-load platform while also reducing the charging pressure of other high-load platforms.

[0130] like Figure 2 As shown, in one embodiment of the present application, a new energy vehicle charging platform management system is also provided, including a collection component 100 and a management component 200. The city charging platform data is collected by the collection component 100, and the new energy vehicle charging platform management method described in any of the aforementioned embodiments is executed by the management component 200. The management component 200 is communicated with the collection component 100, and the new energy vehicle charging platform is managed based on the city charging platform data through the management component 200.

[0131] It should be noted that the collection component 100 includes a platform information collection module 101 and a user information collection module 102. The platform information collection module 101 collects charging platform data within the city, and the user information collection module 102 is used to collect user needs and user information. All data collected by the collection component 100 needs to be input into the management component 200, which processes the data and recommends charging platforms to users or sets up new charging platforms.

[0132] The various technical features of the above-described embodiments can be combined arbitrarily, and the execution order of the method steps is not restricted. In order to make the description concise, not all possible combinations of the various technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0133] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A new energy vehicle charging platform management method, characterized in that: include: Collect urban charging platform data and create an urban charging platform model by combining the urban charging platform data with digital twin technology; Create a management model; Obtain real-time charging demand, input the real-time charging demand into the management model, and output the charging plan through the management model; Collect historical charging data of the charging platform and set up a new charging platform based on the historical charging data.

2. The new energy vehicle charging platform management method according to claim 1, characterized in that: Collect urban charging platform data and create an urban charging platform model by combining it with digital twin technology, including: Create a charging platform database; Setting collection parameters, collecting charging platform data of multiple charging platforms based on the collection parameters, and storing all collected charging platform data into a charging platform database; the charging platform data includes platform location information, platform charging pile information, and platform service information; Obtain city map data and create city models through digital twin technology; The charging platform data of multiple charging platforms are imported into the city model to generate a city charging platform model.

3. The new energy vehicle charging platform management method according to claim 2, characterized in that: The platform charging pile information includes quantity information, charging speed information and distribution information.

4. The new energy vehicle charging platform management method according to claim 3, characterized in that: Obtain real-time charging demand and input it into the management model, which then outputs a charging plan, including: Collect real-time charging needs of real-time users; Input real-time charging demands into management models; Calculate the real-time utilization rate of the charging platform through the management model; Filter recommended platforms based on real-time usage.

5. The new energy vehicle charging platform management method according to claim 4, characterized in that: Calculate the real-time usage of the charging platform through the management model, including: Select a charging platform and relevant data of the charging platform from a charging platform database; The maximum charging power of the charging platform is calculated using formula 1; Among them, P is the maximum charging power of the charging platform, p i is the charging power of the i-th charging pile on the charging platform, and N is the total number of charging piles included in the charging platform; The real-time utilization rate of the charging platform is calculated using Formula 2; Among them, V t is the real-time utilization rate of the charging platform, P t is the real-time charging power of the charging platform, and P is the maximum charging power of the charging platform; Return to select a charging platform and related data of the charging platform from the charging platform database until all charging platforms in the charging platform database are selected, and obtain the real-time utilization rate of each charging platform.

6. The new energy vehicle charging platform management method according to claim 5, characterized in that: Recommended platforms are screened based on real-time usage, including: Set usage thresholds; Determine in turn whether the real-time usage rate of each charging platform is less than or equal to the usage rate threshold; If the real-time usage rate of the charging platform is less than or equal to the usage rate threshold, the charging platform is recorded as a normal platform; Obtain the platform location information of each normal platform and calculate the real-time distance between each normal platform and the user's real-time location; Sort all normal platforms from near to far according to the real-time distance, filter and output the top M normal platforms; record the top M normal platforms as recommended platforms.

7. The new energy vehicle charging platform management method according to claim 6, characterized in that: Collect historical charging data from the charging platform and set up a new charging platform based on the historical charging data, including: Obtain historical charging data for each charging platform; The actual utilization rate of each charging platform is calculated using Formula 3 based on historical charging data; Among them, V T is the actual utilization rate of the charging platform during the collection period, P t is the real-time charging power of the charging platform, and T is the collection period; All charging platforms are sorted from high to low according to their actual usage rates, and the top K charging platforms are selected; the top K charging platforms are recorded as high-load platforms.

8. The new energy vehicle charging platform management method according to claim 7, characterized in that: Collect historical charging data from the charging platform and set up a new charging platform based on the historical charging data, which also includes: Obtain charging platform data for each high-load platform; Obtain the closest normal platform to each high-load platform; record the closest normal platform to the high-load platform as the adjacent normal platform; Set the load distance threshold; Determine whether the distance between the high-load platform and the adjacent normal platform is greater than or equal to the load distance threshold; If the distance between the high-load platform and the adjacent normal platform is greater than or equal to the load distance threshold, a new charging platform is set between the high-load platform and the adjacent normal platform; If the distance between the high-load platform and the adjacent normal platform is less than the load distance threshold, the status quo is maintained.

9. The new energy vehicle charging platform management method according to claim 8, characterized in that: If the distance between the high-load platform and the adjacent load platform is less than or equal to the load distance threshold, a new charging platform is set up between the high-load platform and the adjacent load platform, including: Acquire multiple candidate location information of a new charging platform between a high-load platform and an adjacent normal platform; The distance between each candidate position and other high-load platforms is calculated using Formula 4; Among them, D ab is the distance between the ath candidate position and the bth high-load platform, x a is the horizontal coordinate of the ath candidate position, y a is the ordinate of the ath candidate position, x b is the horizontal coordinate of the b-th high-conforming platform, y b is the ordinate of the bth high load; Calculate the total distance from each alternative location to all other high-load platforms; The candidate location with the smallest total distance value is selected and used as the location of the new charging platform.

10. A new energy vehicle charging platform management system, characterized in that: include: A collection component, through which urban charging platform data is collected; A management component, through which the new energy vehicle charging platform management method described in any one of claims 1 to 9 is executed, the management component is communicatively connected with the acquisition component, and the new energy vehicle charging platform is managed based on the city charging platform data through the management component.

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