V2G service recommendation method, device, electronic device and storage medium

Abstract

The present application relates to the field of data processing technology, and provides a V2G service recommendation method, device, electronic device and storage medium, the method comprising: obtaining the historical parking records of each vehicle in the target parking system; determining multiple candidate vehicles from each vehicle according to each historical parking record; determining the probability of each candidate vehicle being in the warehouse during the target time period; the target time period is the peak electricity consumption period; based on each in-stock probability, determining at least one target vehicle from each candidate vehicle; and recommending the vehicle-to-grid V2G service to the target vehicle. The present application can quickly filter out candidate vehicles from each vehicle, and further accurately determine the target vehicle as a potential customer from the candidate vehicles through the probability of the candidate vehicle being in the warehouse during the peak electricity consumption period of the V2G service, so as to accurately recommend V2G services based on the target vehicle, and can improve the conversion efficiency of the V2G service.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a V2G service recommendation method, device, electronic device and storage medium. Background Art

[0002] Vehicle-to-Grid (V2G) technology is a means for the power grid to ensure peak loads, and it also makes the original simple charging business more diversified. V2G is an important supplementary business for charging stations. However, in reality, on the one hand, car owners are not very aware of V2G services, and on the other hand, car owners are unwilling to drive to charging stations for V2G access. Therefore, even with advertising and subsidies, most car owners are not willing to choose V2G services, resulting in low conversion efficiency of current V2G services. Summary of the invention

[0003] The embodiments of the present application provide a V2G service recommendation method, device, electronic device and storage medium to improve the conversion efficiency of V2G services.

[0004] In a first aspect, an embodiment of the present application provides a V2G service recommendation method, including:

[0005] Obtain the historical parking records of each vehicle in the target parking lot system;

[0006] Determine a plurality of candidate vehicles from each vehicle according to each historical parking record;

[0007] Determine the probability of each candidate vehicle being in the warehouse during a target period; the target period is a peak period of electricity consumption;

[0008] Based on each in-stock probability, determining at least one target vehicle from each candidate vehicle;

[0009] A vehicle-to-grid (V2G) service is recommended for the target vehicle.

[0010] In one embodiment, the step of determining at least one target vehicle from each candidate vehicle based on each in-stock probability includes any of the following:

[0011] Determine the candidate vehicles whose probability of being in the inventory is greater than or equal to a preset probability threshold as the target vehicle;

[0012] The in-stock probabilities are sorted, and the in-stock probabilities that are in a preset sorting range after sorting are determined as target in-stock probabilities, and the candidate vehicles among the candidate vehicles that correspond to the target in-stock probabilities are determined as target vehicles.

[0013] In one embodiment, determining the probability of each candidate vehicle being in the warehouse during the target time period includes:

[0014] Determine the first number of days in the warehouse for each candidate vehicle in the target period;

[0015] A ratio operation is performed on each first in-stock day and a first preset day threshold to obtain the in-stock probability of each candidate vehicle in the target time period.

[0016] In one embodiment, the recommending a vehicle-to-grid (V2G) service to the target vehicle includes:

[0017] Perform a V2G business conversion record query on the target vehicle to obtain a query result;

[0018] According to the query result, a V2G service is recommended to the target vehicle.

[0019] In one embodiment, the recommending a V2G service to the target vehicle according to the query result includes:

[0020] If the query result is a service conversion record that does not exist for the target vehicle, pushing a first V2G service access solution to the target vehicle;

[0021] If the query result is a service conversion record existing for the target vehicle, a second V2G service access solution is pushed to the target vehicle.

[0022] In one embodiment, the determining of a plurality of candidate vehicles from each vehicle according to each historical parking record includes:

[0023] According to each historical parking record, determine the second parking days of the corresponding vehicle within a preset time;

[0024] Compare each second in-stock day count with the second preset day count threshold;

[0025] Determine the vehicle corresponding to the second number of days in the warehouse that is greater than or equal to the second preset number of days threshold as a resident vehicle;

[0026] An electric vehicle among the resident vehicles is determined as a candidate vehicle.

[0027] In one embodiment, after recommending a vehicle-to-grid (V2G) service to the target vehicle, the method further includes:

[0028] When it is detected that the target vehicle completes the V2G service access, the service amount is determined based on the amount of electricity connected to the power grid by the target vehicle and a preset electricity price strategy, and the service amount is issued to the user account corresponding to the target vehicle.

[0029] In a second aspect, an embodiment of the present application provides a V2G service recommendation device, including:

[0030] An acquisition module is used to acquire the historical parking records of each vehicle in the target parking system;

[0031] A first determination module, configured to determine a plurality of candidate vehicles from among the vehicles according to the historical parking records;

[0032] The second determination module is used to determine the probability of each candidate vehicle being in the warehouse during a target period; the target period is a peak period of electricity consumption;

[0033] A third determination module is used to determine at least one target vehicle from each candidate vehicle based on each in-stock probability;

[0034] The service recommendation module is used to recommend a vehicle-to-grid (V2G) service to the target vehicle.

[0035] In a third aspect, an embodiment of the present application provides an electronic device, including a processor and a memory storing a computer program, wherein when the processor executes the program, the V2G service recommendation method described in the first aspect is implemented.

[0036] In a fourth aspect, an embodiment of the present application provides a storage medium, which is a computer-readable storage medium and includes a computer program. When the computer program is executed by a processor, the V2G service recommendation method described in the first aspect is implemented.

[0037] The V2G service recommendation method, device, electronic device and storage medium provided in the embodiments of the present application can quickly screen out candidate vehicles from various vehicles through the historical parking records of various vehicles in the target parking lot system, and can further accurately determine the target vehicle as a potential customer from the candidate vehicles through the probability of the candidate vehicle being in the inventory during the peak electricity consumption period of the V2G service, thereby accurately making V2G service recommendations based on the target vehicle. Since the parking habits of the vehicle are more in line with the peak electricity consumption demand of the V2G service, the user corresponding to the target vehicle is also more willing to access the V2G service, thereby improving the conversion efficiency of the V2G service. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the present application or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1 It is a flowchart of a V2G service recommendation method provided in an embodiment of the present application;

[0040] Figure 2This is a functional module diagram of an embodiment of a V2G service recommendation device of the present application;

[0041] Figure 3 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0043] The V2G service recommendation method, device, electronic device and storage medium provided by the present application are described in detail below in conjunction with the embodiments. The following embodiments are used to illustrate the present application, but cannot be used to limit the scope of the present application.

[0044] In the description of the embodiments of the present application, it should be noted that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the embodiments of the present application. In addition, the terms "first", "second", and "third" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0045] In the description of the embodiments of the present application, it should be noted that, unless otherwise clearly specified and limited, the terms "connected" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the embodiments of the present application can be understood according to specific circumstances.

[0046] In the embodiments of the present application, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0047] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiments of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0048] Figure 1 A flowchart of a V2G service recommendation method provided in an embodiment of the present application. Figure 1 , an embodiment of the present application provides a V2G service recommendation method, which may include:

[0049] Step 100, obtaining the historical parking records of each vehicle in the target parking lot system;

[0050] It should be noted that the execution entity of the V2G service recommendation method provided in the embodiment of the present application can be a server or a computer device, such as a mobile phone, a tablet computer, a laptop computer, a PDA, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a personal digital assistant (PDA), etc.

[0051] A V2G service recommendation device may be provided or connected in the execution subject of the present application, and the V2G service recommendation method of the present application may be implemented by controlling the V2G service recommendation device.

[0052] The execution entity of this application can be deployed in a larger parking lot or V2G site where a V2G site is set up.

[0053] The execution entity in this application can be connected to multiple nearby parking systems, or can exchange data with multiple nearby parking systems.

[0054] In the present application, a parking lot system from which the execution entity can obtain parking records of the vehicle is determined as a target parking lot system.

[0055] Therefore, in the V2G service recommendation method provided in the present application, historical parking records of all vehicles can be obtained from all target parking systems, wherein each parking record in the historical parking records can be formed in pairs according to entry and exit time.

[0056] It should be noted that the parking record of the present application may include the vehicle license plate number and / or the owner's contact information, etc.

[0057] The historical parking records in this application may be all parking records within the last three months.

[0058] Therefore, the present application can obtain the historical parking records corresponding to all vehicles from the target parking lot system.

[0059] Step 200, determining a plurality of candidate vehicles from each vehicle according to each historical parking record;

[0060] In this application, the permanent vehicles in the parking lot can be screened out from all vehicles according to the historical parking records of each vehicle.

[0061] Furthermore, electric vehicles may be further screened out from the resident vehicles as candidate vehicles.

[0062] Step 300, determining the probability of each candidate vehicle being in the warehouse during the target period;

[0063] Furthermore, the present application can determine the probability of the corresponding candidate vehicle being in the parking lot during the target time period according to the historical parking records of each candidate vehicle. It should be noted that the target time period is the peak period of electricity consumption, such as 3 pm to 5 pm or 3 pm to 4 pm.

[0064] Step 400, determining at least one target vehicle from each candidate vehicle based on each in-stock probability;

[0065] After obtaining the in-stock probability corresponding to each candidate vehicle, the present application can select the candidate vehicles corresponding to multiple in-stock probabilities with the largest in-stock probabilities as target vehicles, or can select all candidate vehicles corresponding to in-stock probabilities greater than or equal to a pre-set probability threshold as target vehicles.

[0066] Step 500: Recommend V2G services to the target vehicle.

[0067] After determining the target vehicle, the present application may first determine whether the user corresponding to the target vehicle is a new user, and make different V2G service recommendations based on whether the user is a new user or an old user.

[0068] The V2G service recommendation method provided by the present application can quickly screen out candidate vehicles from various vehicles through the historical parking records of various vehicles in the target parking lot system, and can further accurately determine the target vehicle as a potential customer from the candidate vehicles through the probability of the candidate vehicle being in the inventory during the peak electricity consumption period of the V2G service. Therefore, V2G service recommendations can be accurately made based on the target vehicle. Since the parking habits of the vehicle are more in line with the peak electricity consumption demand of the V2G service, the user corresponding to the target vehicle is also more willing to access the V2G service, thereby improving the conversion efficiency of the V2G service.

[0069] This application can analyze the parking habits of each vehicle in the station yard, and select vehicles that are likely to be in the parking lot during the V2G demand period for V2G business promotion.

[0070] This application can reduce the cost of business promotion by improving the conversion efficiency of V2G business.

[0071] In one embodiment, based on each historical parking record, a plurality of candidate vehicles are determined from each vehicle, including:

[0072] Step 201, determining the second parking days of the corresponding vehicle within a preset time according to each historical parking record;

[0073] Step 202, comparing each second inventory-in-stock number of days with a second preset number of days threshold;

[0074] Step 203, determining the vehicle corresponding to the second number of days in the warehouse that is greater than or equal to the second preset number of days threshold as a resident vehicle;

[0075] Step 204 : determine the electric vehicle among the resident vehicles as a candidate vehicle.

[0076] In this application, for each vehicle, the number of days the vehicle was in the parking lot within a preset time period can be determined according to its corresponding historical parking record as the second number of days in the parking lot. The preset time period can be, for example, the last three months. For the parking record, if the vehicle enters the parking lot on January 1 and leaves on January 3, then January 1 to January 3 are all considered parking days.

[0077] Furthermore, for each second number of days in the warehouse, it can be compared with the second preset number of days threshold to determine whether the corresponding vehicle is a permanent vehicle. The second preset number of days threshold can be a number of days determined in advance according to actual conditions, such as 20 days, 30 days, etc.

[0078] Furthermore, among the vehicles, the vehicles corresponding to the second number of days in the warehouse that is greater than or equal to the second preset number of days threshold are determined as resident vehicles.

[0079] For each resident vehicle, this application can query the vehicle model by the license plate number of the resident vehicle, and determine whether the resident vehicle is a pure electric model based on the vehicle model.

[0080] Further, the present application may determine each electric vehicle determined from the resident vehicles as a candidate vehicle.

[0081] This embodiment can screen all the vehicles in the parking lot into permanent vehicles and electric vehicles through historical parking records, thereby determining vehicles with a certain conversion probability from all the vehicles as candidate vehicles, and then accurately determining target vehicles as potential customers from the candidate vehicles, thereby accurately making V2G service recommendations based on the target vehicles. Since the parking habits of the vehicles are more in line with the peak electricity demand of the V2G service, the users corresponding to the target vehicles are also more willing to access the V2G service, thereby improving the conversion efficiency of the V2G service.

[0082] In one embodiment, determining the probability of each candidate vehicle being in the warehouse during the target time period includes:

[0083] Step 301, determining the first number of days in the warehouse for each candidate vehicle in the target period;

[0084] Step 302 , performing a ratio operation on each first in-stock day and a first preset day threshold, to obtain the in-stock probability of each candidate vehicle in the target time period.

[0085] In the present application, the number of days in the warehouse for each candidate vehicle in the target period can be determined as the first number of days in the warehouse according to the historical parking records of the candidate vehicles.

[0086] Furthermore, for each first in-stock day, a ratio operation can be performed between it and the first preset day threshold to obtain the in-stock probability of the candidate vehicle corresponding to the first in-stock day. Based on this, the in-stock probability of each candidate vehicle in the target time period can be obtained.

[0087] The first preset day threshold may be a day value determined in advance according to actual conditions, for example, 90 days.

[0088] For example, the V2G time period is from 3 to 4 p.m., and the probability of a certain license plate being in the parking lot between 3 and 4 p.m. can be counted. Specifically, statistics can be made over the past three months. By dividing the number of days that the vehicle is in the parking lot between 3 and 4 p.m. in the past three months by 90 days, the probability of the vehicle being in the parking lot during the V2G time period can be calculated.

[0089] The present application can determine the probability of candidate vehicles being in stock during the peak electricity consumption period of the V2G service, so that the target vehicle as a potential customer can be accurately determined from the candidate vehicles, thereby accurately making V2G service recommendations based on the target vehicle. Since the parking habits of the vehicles are more in line with the peak electricity consumption demand of the V2G service, the users corresponding to the target vehicles are also more willing to access the V2G service, thereby improving the conversion efficiency of the V2G service.

[0090] In one embodiment, based on each inventory probability, determining at least one target vehicle from each candidate vehicle includes any of the following:

[0091] Step 401, determining a candidate vehicle whose probability of being in the warehouse is greater than or equal to a preset probability threshold among the candidate vehicles as a target vehicle;

[0092] Step 402, sorting the in-stock probabilities, determining the in-stock probabilities that are in a preset sorting range after sorting as target in-stock probabilities, and determining the candidate vehicles among the candidate vehicles that correspond to the target in-stock probabilities as target vehicles.

[0093] After obtaining the in-stock probability of each candidate vehicle in the target time period, in one embodiment, each in-stock probability is compared with a preset probability threshold, thereby determining the size relationship between each in-stock probability and the preset probability threshold. The preset probability threshold can be set and adjusted according to actual needs.

[0094] After the comparison is completed, the present application may determine each candidate vehicle whose probability of being in the inventory is greater than or equal to a preset probability threshold as a target vehicle.

[0095] In another embodiment of the present application, each inventory probability may be sorted according to a preset sorting method, for example, in ascending or descending order.

[0096] Further, for each in-stock probability after ascending sorting, the in-stock probability at the front preset position can be selected as the target in-stock probability; for each in-stock probability after descending sorting, the in-stock probability at the rear preset position can be selected as the target in-stock probability. In one embodiment, for each in-stock probability after ascending sorting, the in-stock probability at the front 50% can be selected as the target in-stock probability; for each in-stock probability after descending sorting, the in-stock probability at the rear 50% can be selected as the target in-stock probability.

[0097] Furthermore, the candidate vehicle among the candidate vehicles that corresponds to the target vehicle in-stock probability may be determined as the target vehicle.

[0098] This embodiment can accurately determine the target vehicle as a potential customer from the candidate vehicles according to the probability of the candidate vehicles being in stock during the peak electricity consumption period of the V2G service, thereby accurately making V2G service recommendations based on the target vehicle. Since the parking habits of the vehicles are more in line with the peak electricity consumption demand of the V2G service, the users corresponding to the target vehicles are also more willing to access the V2G service, thereby improving the conversion efficiency of the V2G service.

[0099] In one embodiment, performing V2G service recommendation on a target vehicle includes:

[0100] Step 501, query the V2G service conversion record of the target vehicle to obtain the query result;

[0101] Step 502: Recommend V2G services to the target vehicle based on the query results.

[0102] After determining the target vehicle, the present application can query whether the user corresponding to the target vehicle has a V2G business conversion record within a set time based on the contact information corresponding to the target vehicle, such as the user's phone number, thereby obtaining the query result.

[0103] Furthermore, based on the query result of whether the user corresponding to the target vehicle has a V2G service conversion record, differentiated V2G service access solutions can be recommended for users with V2G service conversion records and users without V2G service conversion records.

[0104] Furthermore, based on the query results, V2G service recommendations are made to the target vehicle, including:

[0105] Step 5021: If the query result shows that there is no V2G service conversion record for the target vehicle, a first V2G service access solution is pushed to the target vehicle;

[0106] Step 5022: If the query result shows that there is a V2G service conversion record for the target vehicle, a second V2G service access solution is pushed to the target vehicle.

[0107] In this application, differentiated V2G service access solutions can be pushed to new and old users of V2G services. For example, a V2G service access solution with a greater reward for new users can be defined as a first V2G service access solution in this application; while a V2G service access solution with a smaller reward for old users can be defined as a second V2G service access solution in this application.

[0108] Therefore, if the query result is that there is no V2G service conversion record for the target vehicle, it is determined that the user corresponding to the target vehicle is a new user, and the first V2G service access solution can be pushed to the target vehicle.

[0109] If the query result shows that the target vehicle has a V2G service conversion record, it is determined that the user corresponding to the target vehicle is an old user, and the second V2G service access solution can be pushed to the target vehicle.

[0110] This embodiment can push differentiated V2G service access solutions to new users and old users based on the query result of whether the user corresponding to the target vehicle is a new user of the V2G service, which can attract more new users to access the service and improve the conversion efficiency of the V2G service.

[0111] In one embodiment, after making a V2G service recommendation according to the target vehicle, the method further includes:

[0112] Step 600, when it is detected that the target vehicle has completed the V2G service access, the service amount is determined based on the amount of electricity connected to the power grid by the target vehicle and the preset electricity price strategy, and the service amount is issued to the user account corresponding to the target vehicle.

[0113] After recommending V2G services according to the target vehicle, if the target vehicle is detected to have completed V2G service access, the amount of electricity connected to the power grid by the target vehicle is obtained, and the service amount to be obtained for this access is determined according to the pre-set electricity price strategy. The preset electricity price strategy in the present application can be, for example, the sum of the electricity price during the service access period and the preset subsidy price as the total electricity price.

[0114] Furthermore, the service amount may be issued to the user account corresponding to the target vehicle.

[0115] This embodiment can pay the target vehicle a corresponding service amount when it is detected that the target vehicle has completed V2G service access, thereby increasing the vehicle owner's willingness to access the service in the future.

[0116] In one embodiment, for electric vehicles, taking office buildings as an example, in office buildings, vehicles are generally stored from 9 am to 6 pm on weekdays. If 3 pm to 5 pm is the peak period of electricity consumption, V2G access is required to reduce the burden on the power grid, then these vehicles have the prerequisite of being present. On the one hand, the possibility of these screened vehicles being connected to V2G increases when the electricity selling price can make a profit. On the other hand, the time when the vehicle is in the warehouse is selected to coincide with the V2G demand time, which can improve the conversion rate. It can be understood that through the above technical solution, it is possible to optimize the push strategy, push information to users with higher conversion efficiency, reduce the waste of push costs, and improve the conversion effect of promotion.

[0117] Furthermore, the present application also provides a V2G service recommendation device.

[0118] Reference Figure 2 , Figure 2This is a schematic diagram of the functional modules of an embodiment of a V2G service recommendation device of the present application.

[0119] The V2G service recommendation device comprises:

[0120] An acquisition module 210 is used to acquire the historical parking records of each vehicle in the target parking lot system;

[0121] A first determination module 220, configured to determine a plurality of candidate vehicles from among the vehicles according to the historical parking records;

[0122] The second determination module 230 is used to determine the probability of each candidate vehicle being in the warehouse during a target period; the target period is a peak period of electricity consumption;

[0123] A third determination module 240 is used to determine at least one target vehicle from each candidate vehicle based on each in-stock probability;

[0124] The service recommendation module 250 is used to recommend a vehicle-to-grid (V2G) service to the target vehicle.

[0125] The V2G service recommendation device provided in the embodiment of the present application can quickly screen out candidate vehicles from various vehicles through the historical parking records of various vehicles in the target parking lot system, and can further accurately determine the target vehicle as a potential customer from the candidate vehicles through the probability of the candidate vehicle being in the warehouse during the peak electricity consumption period of the V2G service. Therefore, V2G service recommendations can be accurately made based on the target vehicle. Since the parking habits of the vehicle are more in line with the peak electricity consumption demand of the V2G service, the user corresponding to the target vehicle is also more willing to access the V2G service, thereby improving the conversion efficiency of the V2G service.

[0126] In one embodiment, the first determining module 220 is specifically configured to:

[0127] According to each historical parking record, determine the second parking days of the corresponding vehicle within a preset time;

[0128] Compare each second in-stock day count with the second preset day count threshold;

[0129] Determine the vehicle corresponding to the second number of days in the warehouse that is greater than or equal to the second preset number of days threshold as a resident vehicle;

[0130] An electric vehicle among the resident vehicles is determined as a candidate vehicle.

[0131] In one embodiment, the second determining module 230 is specifically configured to:

[0132] Determine the first number of days in the warehouse for each candidate vehicle in the target period;

[0133] A ratio operation is performed on each first in-stock day and a first preset day threshold to obtain the in-stock probability of each candidate vehicle in the target time period.

[0134] In one embodiment, the third determination module 240 is specifically configured to:

[0135] Determine the candidate vehicles whose probability of being in the inventory is greater than or equal to a preset probability threshold as the target vehicle;

[0136] The in-stock probabilities are sorted, and the in-stock probabilities that are in a preset sorting range after sorting are determined as target in-stock probabilities, and the candidate vehicles among the candidate vehicles that correspond to the target in-stock probabilities are determined as target vehicles.

[0137] In one embodiment, the business recommendation module 250 is specifically used to:

[0138] Perform a V2G business conversion record query on the target vehicle to obtain a query result;

[0139] According to the query result, a vehicle-to-grid (V2G) service is recommended to the target vehicle.

[0140] In one embodiment, the service recommendation module 250 includes a recommendation unit, which is used to:

[0141] If the query result is that there is no V2G service conversion record for the target vehicle, pushing a first V2G service access solution to the target vehicle;

[0142] If the query result is that there is a V2G service conversion record for the target vehicle, a second V2G service access solution is pushed to the target vehicle.

[0143] In one embodiment, the business recommendation module 250 is further configured to:

[0144] When it is detected that the target vehicle completes the V2G service access, the service amount is determined based on the amount of electricity connected to the power grid by the target vehicle and a preset electricity price strategy, and the service amount is issued to the user account corresponding to the target vehicle.

[0145] Figure 3 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 3As shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330 and a communication bus 340, wherein the processor 310, the communication interface 320, and the memory 330 communicate with each other through the communication bus 340. The processor 310 may call a computer program in the memory 330 to execute the steps of the V2G service recommendation method, for example, including:

[0146] Obtain the historical parking records of each vehicle in the target parking lot system;

[0147] Determine a plurality of candidate vehicles from each vehicle according to each historical parking record;

[0148] Determine the probability of each candidate vehicle being in the warehouse during a target period; the target period is a peak period of electricity consumption;

[0149] Based on each in-stock probability, determining at least one target vehicle from each candidate vehicle;

[0150] A vehicle-to-grid (V2G) service is recommended for the target vehicle.

[0151] In addition, the logic instructions in the above-mentioned memory 330 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk.

[0152] On the other hand, an embodiment of the present application further provides a storage medium, wherein the storage medium is a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein the computer program is used to enable a processor to execute the steps of the methods provided in the above embodiments, for example, including:

[0153] Obtain the historical parking records of each vehicle in the target parking lot system;

[0154] Determine a plurality of candidate vehicles from each vehicle according to each historical parking record;

[0155] Determine the probability of each candidate vehicle being in the warehouse during a target period; the target period is a peak period of electricity consumption;

[0156] Based on each in-stock probability, determining at least one target vehicle from each candidate vehicle;

[0157] A vehicle-to-grid (V2G) service is recommended for the target vehicle.

[0158] The computer-readable storage medium can be any available medium or data storage device that can be accessed by the processor, including but not limited to magnetic storage (such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc.), optical storage (such as CD, DVD, BD, HVD, etc.), and semiconductor storage (such as ROM, EPROM, EEPROM, non-volatile memory (NANDFLASH), solid-state drive (SSD)), etc.

[0159] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0160] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0161] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A V2G service recommendation method, characterized in that: include: Obtain the historical parking records of each vehicle in the target parking lot system; Determine a plurality of candidate vehicles from each vehicle according to each historical parking record; Determine the probability of each candidate vehicle being in the warehouse during a target period; the target period is a peak period of electricity consumption; Based on each in-stock probability, determining at least one target vehicle from each candidate vehicle; Recommending a vehicle-to-grid (V2G) service to the target vehicle; The step of determining at least one target vehicle from each candidate vehicle based on each inventory probability comprises: Sorting each in-stock probability, determining the in-stock probability within a preset sorting range after sorting as the target in-stock probability, and determining the candidate vehicle corresponding to the target in-stock probability among each candidate vehicle as the target vehicle; The step of determining a plurality of candidate vehicles from each vehicle according to each historical parking record includes: According to each historical parking record, determine the second parking days of the corresponding vehicle within a preset time; Compare each second in-stock day count with the second preset day count threshold; Determine the vehicle corresponding to the second number of days in the warehouse that is greater than or equal to the second preset number of days threshold as a resident vehicle; Query the vehicle model according to the license plate number of each resident vehicle, and determine the electric vehicle among the resident vehicles according to each vehicle model; An electric vehicle among the resident vehicles is determined as a candidate vehicle.

2. The V2G service recommendation method according to claim 1, characterized in that: The step of determining at least one target vehicle from each candidate vehicle based on each inventory probability comprises: A candidate vehicle whose probability of being in the inventory is greater than or equal to a preset probability threshold among the candidate vehicles is determined as the target vehicle.

3. The V2G service recommendation method according to claim 1, characterized in that: Determining the probability of each candidate vehicle being in the warehouse during the target time period includes: Determine the first number of days in the warehouse for each candidate vehicle in the target period; A ratio operation is performed on each first in-stock day and a first preset day threshold to obtain the in-stock probability of each candidate vehicle in the target time period.

4. The V2G service recommendation method according to claim 1, characterized in that: The recommending a vehicle-to-grid (V2G) service to the target vehicle includes: Perform a V2G business conversion record query on the target vehicle to obtain a query result; According to the query result, a V2G service is recommended to the target vehicle.

5. The V2G service recommendation method according to claim 4, characterized in that: The recommending a V2G service to the target vehicle according to the query result includes: If the query result is that there is no V2G service conversion record for the target vehicle, pushing a first V2G service access solution to the target vehicle; If the query result is that there is a V2G service conversion record for the target vehicle, a second V2G service access solution is pushed to the target vehicle.

6. The V2G service recommendation method according to any one of claims 1 to 5, characterized in that: After recommending a vehicle-to-grid (V2G) service to the target vehicle, the method further includes: When it is detected that the target vehicle has completed V2G service access, the service amount is determined based on the amount of electricity connected to the power grid by the target vehicle and a preset electricity price strategy, and the service amount is issued to a user account corresponding to the target vehicle.

7. A V2G service recommendation device, characterized in that: include: An acquisition module, used to acquire the historical parking records of each vehicle in the target parking system; A first determination module, configured to determine a plurality of candidate vehicles from among the vehicles according to the historical parking records; The second determination module is used to determine the probability of each candidate vehicle being in the warehouse during the target period; The target period is the peak period of electricity consumption; A third determination module is used to determine at least one target vehicle from each candidate vehicle based on each in-stock probability; A service recommendation module, used for recommending a vehicle-to-grid (V2G) service to the target vehicle; The first determination module is specifically used to determine the second days in the warehouse of the corresponding vehicle within the preset time according to each historical parking record; compare each second number of days in the warehouse with the second preset number of days threshold; determine the vehicle corresponding to the second number of days in the warehouse greater than or equal to the second preset number of days threshold as a resident vehicle; query the vehicle model according to the license plate number of each resident vehicle, determine the electric vehicle among the resident vehicles according to each vehicle model; and determine the electric vehicle among the resident vehicles as a candidate vehicle; The third determination module is specifically used to sort the in-stock probabilities, determine the in-stock probabilities that are in a preset sorting range after sorting as the target in-stock probability, and determine the candidate vehicle corresponding to the target in-stock probability among the candidate vehicles as the target vehicle.

8. An electronic device comprising a processor and a memory storing a computer program, characterized in that: When the processor executes the computer program, the V2G service recommendation method according to any one of claims 1 to 6 is implemented.

9. A storage medium, the storage medium being a computer-readable storage medium, comprising a computer program, characterized in that: When the computer program is executed by a processor, the V2G service recommendation method according to any one of claims 1 to 6 is implemented.

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