Intelligent scheduling method and scheduling system for reserved charging, medium and program product

Abstract

The invention relates to the technical field of scheduling management, in particular to an intelligent scheduling method and scheduling system for reservation charging, a medium and a program product, and the method comprises the steps: determining an initial charging resource distribution strategy according to charging reservation information; determining a charging response range based on the charging reservation information; obtaining driving authorized vehicles in each response dimension and potential characteristics of each driving authorized vehicle, and determining potential indexes of each driving authorized vehicle; determining a first potential vehicle based on each potential index, and determining a limit range and a limit weight corresponding to each first potential vehicle; generating a target charging parameter to be regulated and controlled based on a first potential feature corresponding to each first potential vehicle, a second potential feature of each second potential vehicle and a limiting weight corresponding to each limiting range; and optimizing the initial charging resource allocation strategy based on the target to-be-regulated charging parameter to obtain a target charging resource allocation strategy. According to the invention, dynamic scheduling and optimization of the charging resources are facilitated.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of scheduling management, in particular to a reservation charging intelligent scheduling method, a scheduling system, a medium and a program product. BACKGROUND

[0002] In recent years, the production and sales of new energy vehicles have shown an explosive growth trend, and more and more consumers choose new energy vehicles as their daily transportation tools. The widespread popularity of new energy vehicles has also brought a series of problems that need to be solved, among which the charging problem is particularly prominent. On the one hand, although the cruising range of new energy vehicles is constantly improving, it is still limited compared to traditional fuel vehicles, which makes the vehicle owner rely more on charging piles; on the other hand, whether it is daily commuting or long-distance travel, the vehicle owner needs to find a convenient and fast charging pile for charging. Therefore, people's demand for charging piles is getting higher and higher, and the reasonable layout and efficient use of charging piles have become a key factor to ensure the healthy development of the new energy vehicle industry.

[0003] The current common charging pile reservation method mainly uses login to the charging pile corresponding website or on-site code scanning to make a reservation. This reservation mode provides a certain degree of convenience for the vehicle owner, enabling the vehicle owner to plan the charging trip in advance and reduce the waiting time. However, this resource scheduling and allocation method based only on reservation information has obvious defects in the comprehensive management and control of charging piles. This reservation mode only considers the charging needs of the reserved vehicles, ignoring the charging needs of the non-reserved vehicles. In actual scenarios, there may be many vehicle owners who have not made reservations in advance due to various reasons. When the non-reserved vehicle owners arrive at the charging station, it may cause a sudden increase in charging tasks at the charging station, which may lead to insufficient load of the charging piles allocated according to the reservation information. If this sudden load change cannot be adjusted and responded to in time, it may cause voltage instability, power failure and other situations in the charging station, not only affecting the normal use of the charging piles, but also possibly causing damage to other electrical equipment in the surrounding area. SUMMARY

[0004] In order to facilitate dynamic scheduling and optimization of charging resources to improve the stability of charging piles during the charging process, the present application provides a reservation charging intelligent scheduling method, a scheduling system, a medium and a program product.

[0005] In a first aspect, the present application provides a reservation charging intelligent scheduling method, which adopts the following technical solution: A reservation charging intelligent scheduling method, comprising: obtaining charging reservation information of a charging station to be managed, and determining an initial charging resource allocation strategy according to the charging reservation information; determine a charging response range corresponding to the to-be-managed charging station based on the charging reservation information, the charging response range including multiple response dimensions, different response dimensions corresponding to different response weights; obtain potential features of the driving-authorized vehicles in each response dimension and potential indexes of the driving-authorized vehicles based on the potential features of the driving-authorized vehicles in each response dimension and the response weights; determine first potential vehicles based on the potential indexes of the driving-authorized vehicles, and determine a restriction range and a restriction weight corresponding to each first potential vehicle based on the potential index and the first potential feature of the first potential vehicle; obtain second potential features of second potential vehicles in each restriction range, and generate target to-be-controlled charging parameters based on the first potential features of each first potential vehicle, the second potential features of each second potential vehicle, and the restriction weights corresponding to each restriction range; optimize the initial charging resource allocation strategy based on the target to-be-controlled charging parameters to obtain a target charging resource allocation strategy.

[0006] By adopting the above technical solutions, the charging reservation information is analyzed and an initial charging resource allocation strategy is determined accordingly, which facilitates preliminary charging resource allocation for vehicles that have explicitly indicated charging needs, avoids confusion and inefficiency that may be caused by starting from zero, and facilitates preliminary understanding of charging load conditions of the to-be-managed charging station by analyzing the charging reservation information. Different charging response ranges are set according to the charging load conditions, and different response weights are set for different charging response ranges, which facilitates multi-dimensional consideration of influencing factors of charging needs of non-reservation vehicle owners. By analyzing potential features of driving-authorized vehicles and combining response weights of different dimensions, the potential demand degree of each driving-authorized vehicle for charging resources can be quantified. By comprehensively considering potential features of different potential vehicles, potential charging demands faced by the to-be-managed charging station can be more comprehensively understood. Finally, the initial charging resource allocation strategy is optimized based on potential charging demands, which facilitates dynamic scheduling of charging resources. Through dynamic scheduling, resource allocation and use of each charging pile in the to-be-managed charging station can be adjusted in a timely manner according to actual charging demands, which avoids problems such as overloading of charging piles and unstable voltage, thereby facilitating improvement of stability of charging piles during charging and ensuring reliability and efficiency of charging services.

[0007] In a possible implementation manner, the generating of the target to-be-controlled charging parameters based on the first potential features of each first potential vehicle, the second potential features of each second potential vehicle, and the restriction weights corresponding to each restriction range includes: determine the first to-be-regulated charging parameter of each first potential vehicle based on the second potential feature and the distance weight of each second potential vehicle; obtain the potential position of each second potential vehicle, determine the restriction weight corresponding to the restriction range where each potential position is located, and determine the distance weight corresponding to the potential position of each second potential vehicle based on the relative potential distance between each potential position and the charging station to be managed; determine the potential to-be-regulated charging parameter of each second potential vehicle based on the second potential feature and the distance weight of each second potential vehicle; determine the second to-be-regulated charging parameter corresponding to each first potential vehicle based on the restriction weight and the potential to-be-regulated charging parameter of each second potential vehicle; determine the target to-be-regulated charging parameter based on the first to-be-regulated charging parameter and the second to-be-regulated charging parameter of all first potential vehicles.

[0008] By adopting the technical solutions, the first potential vehicles and the second potential vehicles are distinguished, and the corresponding to-be-regulated charging parameters are determined respectively, so that the charging resources can be accurately bound with the demands of different types of potential vehicles. In addition, by introducing the distance weight of the second potential vehicle, different second potential vehicles can be distinguished and managed, so as to improve the accuracy of determining the second to-be-regulated charging parameter, and thus improve the accuracy of determining the target to-be-regulated charging parameter.

[0009] In a possible implementation manner, the method further includes: determine whether there is a key potential vehicle based on the potential index of each first potential vehicle, the key potential vehicle being a first potential vehicle with a potential index higher than a preset index threshold; if so, identify the number of key vehicles of the key potential vehicle in a first preset observation time period, and when the number of key vehicles is greater than a preset number threshold, determine the dynamic moving area of all key potential vehicles based on the dynamic potential position of each key potential vehicle; when the area area of the dynamic moving area is less than a preset area threshold, and the fluctuation value of the area area in a second preset observation time period is lower than a preset fluctuation threshold, generate a response weakening instruction based on the restriction range of each key potential vehicle.

[0010] By adopting the technical scheme, the key potential vehicles are screened out through the potential index, resource waste caused by indiscriminate management of all first potential vehicles is avoided, and thus it is convenient to make the regulation and control resources focus on high demand subjects, and then it is convenient to improve the accuracy and efficiency of demand response, by analyzing the change of the dynamic mobile area constituted by all key potential vehicles, it is convenient to quantify the aggregation of all key potential vehicles, and thus the risk of all key potential vehicles collectively impacting the task of the to-be-managed charging station in a short time is evaluated, and when the risk is high, the response weakening instruction is generated to reduce the invalid interaction between non-key potential vehicles and the to-be-managed charging station, and thus it is convenient to ensure that when the collective potential charging task impact comes, the charging demand of the key potential vehicle can be efficiently handled.

[0011] In a possible implementation manner, when the number of the key vehicles is not greater than the preset number threshold, the method further includes: obtaining a current potential position of the key potential vehicle, and determining a predicted arrival time of the key potential vehicle to the to-be-managed charging station based on the current potential position; determining a charging load level of the to-be-managed charging station based on the predicted arrival time, and determining a feature evaluation value of a key potential feature corresponding to the key potential vehicle based on the charging load level; determining a to-be-evaluated potential feature and an evaluation interval corresponding to the to-be-evaluated potential feature based on each key potential feature and the corresponding feature evaluation value; determining a newly added key potential vehicle from other first potential vehicles based on the to-be-evaluated potential feature and the evaluation interval.

[0012] By adopting the technical scheme, the charging load level of the to-be-managed charging station is calculated based on the predicted arrival time, so as to associate the feature evaluation value of the key potential feature with the load state of the to-be-managed charging station, when the number of the initial key potential vehicles is insufficient, the screening logic is dynamically adjusted in combination with the load of the to-be-managed charging station, the accurate expansion of the range of the key potential vehicle is realized, the blind area of regulation and control is avoided, and it is ensured that the newly added object matches the actual load capacity of the to-be-managed charging station, thereby improving the comprehensiveness, timeliness and resource utilization efficiency of the potential charging demand response of the key potential vehicle.

[0013] In a possible implementation manner, the optimizing the initial charging resource allocation strategy based on the target to-be-regulated charging parameter includes: identifying a newly added charging task parameter corresponding to the target to-be-regulated charging parameter, the newly added charging task parameter including a newly added charging time period and a newly added charging power; identifying an allocated charging time period and an allocated charging power corresponding to each charging pile in the initial charging resource allocation strategy; determine, from the allocated charging time periods, a conflict charging time period, and obtain a conflict charging demand parameter corresponding to an allocated charging demand of the conflict charging time period, the conflict charging demand parameter including a conflict charging demand power and a conflict charging type; determine an adjustable charging strategy based on the conflict charging demand parameter, and optimize the initial charging resource allocation strategy according to the adjustable charging strategy, the adjustable charging strategy including a migratable allocated charging time period, a migratable allocated charging power, and a newly added scheduling power.

[0014] By adopting the above technical solution, by comparing the newly added charging time period with the allocated charging time period, the conflict charging time period with time overlap can be directly locked, and by analyzing the key parameters in the conflict scenario, the specific conflict object and quantitative indicators can be determined, so as to improve the pertinence and accuracy in the conflict solving process.

[0015] In a possible implementation manner, after the initial charging resource allocation strategy is optimized according to the adjustable charging strategy, the method further includes: obtain an index fluctuation rate of the potential index of each driving authorized vehicle in a preset observation time period, and when the index fluctuation rate is lower than a preset fluctuation rate threshold, determine a broadcast range based on a fluctuation rate difference between the index fluctuation rate and the preset fluctuation rate threshold; generate a broadcast signal based on the adjustable charging strategy and the broadcast range, and broadcast to the driving authorized vehicles in the broadcast range.

[0016] By adopting the above technical solution, by analyzing the change of the potential index of each driving authorized vehicle, it is convenient to evaluate whether the potential charging demand is transferred, and a broadcast signal is generated in time when the potential demand is detected to be transferred, so as to reduce the probability of waste or idling of the scheduling resource after conflict optimization, thereby improving the resource utilization rate.

[0017] In a possible implementation manner, when the adjustable charging strategy includes a preset charging feature, the method further includes: determine a directable broadcast feature based on the preset charging feature included in the adjustable charging strategy; obtain an authorized charging parameter of the driving authorized vehicle in the broadcast range, the authorized charging parameter including an authorized remaining power and an authorized charging habit; determine a directable broadcast vehicle from the driving authorized vehicles in the broadcast range based on the directable broadcast feature and each authorized charging parameter, and determine a directable broadcast level of each directable broadcast vehicle; determine a broadcast order based on the directable broadcast level of each directable broadcast vehicle, and broadcast to each directable broadcast vehicle based on the broadcast order.

[0018] By adopting the technical scheme, the directionally broadcastable feature is determined through analyzing the adjustable charging strategy, clear standards are provided for screening target vehicles, information interference and communication resource waste caused by invalid broadcast to unmatched vehicles are avoided, the charging demand urgency and matching degree of multiple vehicles are quantitatively sorted by dividing the directionally broadcastable vehicles into directional grades, high-priority vehicles are ensured to receive broadcast information preferentially, so as to preferentially obtain resource matching opportunities, the situation that limited charging resources are occupied by low-priority demands is avoided, and the matching efficiency of limited charging resources and high-priority demands is improved.

[0019] In a second aspect, the present application provides a dispatching system, adopting the technical scheme as follows: A dispatching system, comprising: at least one processor; a memory; at least one application program, wherein the at least one application program is stored in the memory and is configured to be executed by the at least one processor, and the at least one application program is configured to execute the above-mentioned reservation charging intelligent dispatching method.

[0020] In a third aspect, the present application provides a computer readable storage medium, adopting the technical scheme as follows: A computer readable storage medium, comprising: a computer program stored therein and capable of being loaded and executed by a processor to execute the above-mentioned reservation charging intelligent dispatching method.

[0021] In a fourth aspect, the present application provides a computer program product, adopting the technical scheme as follows: A computer program product, comprising a computer program, wherein the computer program is executed by a processor to implement the above-mentioned reservation charging intelligent dispatching method.

[0022] In summary, the present application has at least one of the following beneficial technical effects: By analyzing the charging reservation information and determining the initial charging resource allocation strategy accordingly, the charging resource allocation for the vehicles with clear charging demand can be facilitated, avoiding the chaos and inefficiency caused by starting from zero. By analyzing the charging reservation information, the charging load of the charging station to be managed can be preliminarily mastered, and then multiple charging response ranges are set according to the charging load, and different response weights are set for different charging response ranges, so as to facilitate the multi-dimensional consideration of the influencing factors of the charging demand of the non-reserved vehicle owners. By analyzing the potential characteristics of the driving authorized vehicles and combining the response weights in different dimensions, the potential demand degree of each driving authorized vehicle for the charging resource can be quantified. By comprehensively considering the potential characteristics of different potential vehicles, the potential charging demand faced by the charging station to be managed can be more comprehensively understood. Finally, the initial charging resource allocation strategy is optimized based on the potential charging demand, so as to realize the dynamic scheduling of the charging resource. Through dynamic scheduling, the resource allocation and use of each charging pile in the charging station to be managed can be adjusted in time according to the actual charging demand, avoiding problems such as overload of the charging pile and unstable voltage, so as to facilitate the improvement of the stability of the charging pile in the charging process and ensure the reliability and efficiency of the charging service.

[0023] The key potential vehicles are screened out by the potential index, avoiding the waste of resources caused by indiscriminate management of all first potential vehicles, so as to facilitate the focus of the regulation and control resources on high demand subjects, thereby facilitating the improvement of the accuracy and efficiency of demand response. By analyzing the change of the dynamic mobile area constituted by all key potential vehicles, the aggregation of all key potential vehicles can be quantified, so as to evaluate the risk of all key potential vehicles collectively causing task impact on the charging station to be managed in a short time, and when the risk is high, the response weakening instruction is generated to reduce the invalid interaction between non-key potential vehicles and the charging station to be managed, so as to facilitate the efficient handling of the charging demand of key potential vehicles when the collective potential charging task impact arrives. BRIEF DESCRIPTION OF DRAWINGS

[0024] Figure 1 is a flowchart of a reservation charging intelligent scheduling method in an embodiment of the present application; Figure 2 is a flowchart of determining a response weakening instruction in an embodiment of the present application; Figure 3 is a structure diagram of a scheduling system in an embodiment of the present application. DETAILED DESCRIPTION

[0025] The following will be described in detail in combination with the accompanying Figures 1 to 3 The present application will be further described in detail.

[0026] Those skilled in the art can make modifications to the present embodiment without creative contribution after reading the present specification, but as long as it is within the scope of the claims of the present application, it is protected by the patent law.

[0027] To make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0028] It should be noted that in the optional embodiments of the present application, the object information and other related data involved need to obtain the permission or consent of the object when the embodiments of the present application are applied to specific products or technologies, and the collection, use and processing of the related data need to comply with the relevant laws, regulations and standards of the country and region. That is, if the embodiments of the present application involve data related to the object, the data needs to be obtained with the authorization and consent of the object, the authorization and consent of the relevant department, and in compliance with the relevant laws, regulations and standards of the country and region. If the embodiments involve personal information, the consent of the individual needs to be obtained for the collection of all personal information, and the separate consent of the information subject needs to be obtained for the collection of sensitive information, and the embodiments also need to be implemented with the authorization and consent of the object.

[0029] Specifically, the present application provides a pre-charge intelligent scheduling method, which is executed by a scheduling system. The scheduling system can be a server or a terminal device. The server can be a standalone physical server, a server cluster composed of multiple physical servers or a distributed system, or a cloud server providing cloud computing services. The terminal device can be a smartphone, a tablet computer, a notebook computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected through wired or wireless communication, and the present application does not limit this.

[0030] Reference Figure 1 , Figure 1 is a flowchart of a pre-charge intelligent scheduling method in the embodiments of the present application. The method comprises steps S110-S160, wherein: Step S110: Obtain the charging reservation information of the charging station to be managed, and determine the initial charging resource allocation strategy according to the charging reservation information.

[0031] Specifically, the to-be-managed charging station is a charging station that needs to be managed and dispatched, and the charging reservation information is reservation information submitted by a related vehicle owner in a reservation system corresponding to the to-be-managed charging station. The reservation system can be an official APP, a mini-program, and a third reservation platform, etc. The charging reservation information includes a reserved license plate number, a reserved charging time period, a reserved charging power demand, a reserved charging pile type, and a vehicle owner's contact information, etc. The specific content is not limited in the embodiments of the present application and can be set according to actual needs. The charging resources of the to-be-managed charging station in a future period of time can be initially allocated based on the obtained charging reservation information. The specific allocation process can be as follows: The number of reserved vehicles and the total reserved charging power demand are counted according to the reserved charging time period, and the load distribution of different reserved charging time periods is analyzed. According to the configuration parameters of each charging pile in the to-be-managed charging station, the reserved vehicles are allocated to specific charging piles. The configuration parameters include the number of charging piles, the type of charging piles, the rated charging power of charging piles, etc. For example, vehicles with a fast charging type are allocated to fast charging piles to avoid mismatching of charging resources. Finally, the allocation results of each charging pile are recorded in the form of a table or a data structure, including the information of the reserved vehicles, the charging time period, and the allocated power, etc. In the process of allocating the reserved vehicles to specific charging piles, the allocation can be based on a preset basic scheduling rule. The preset basic scheduling rule can include: priority is given to vehicles with a clear reserved charging time period to ensure that they have available charging piles in the reserved charging time period; when a same reserved charging time period contains multiple reservation information, the reserved charging power demand in each reservation information is used for reasonable allocation to avoid the total charging power in a single charging time period exceeding the power supply capacity of the charging station. The way of determining the initial charging resource allocation strategy based on the charging reservation information is not limited in the embodiments of the present application, as long as the preliminary and reasonable allocation of the charging resources in the to-be-managed charging station can be completed based on the charging reservation information, the basic charging demand of the reserved vehicles can be ensured to be met in the corresponding reserved charging time period, and the basic power supply capacity and the charging pile configuration limit of the to-be-managed charging station are not exceeded.

[0032] Step S120: determining a charging response range corresponding to the to-be-managed charging station based on the charging reservation information. The charging response range includes multiple response dimensions, and different response dimensions correspond to different response weights.

[0033] Specifically, the total charging power corresponding to the charging reservation information is identified, and based on the total charging power and the charging station power supply capacity of the to-be-managed charging station, the non-reservation available charging power corresponding to the to-be-managed charging station is determined, and then the response area corresponding to the non-reservation available charging power is determined based on the preset response area mapping relationship. The preset response area mapping relationship is the corresponding relationship between the non-reservation available charging power and the response area, and the specific content is not specifically limited in the embodiments of the present application, and can be determined by relevant staff according to historical experimental data and uploaded to the scheduling system. The charging response range of the to-be-managed charging station is a circular area with the to-be-managed charging station as the core and the response area as the size, and the greater the non-reservation available charging power, the greater the area of the charging response range.

[0034] In order to distinguish and manage the vehicles at different positions in the charging response range, the charging response range can be further divided into multiple response dimensions, and the area division process includes: taking the to-be-managed charging station as the center, regarding the charging response range as a whole area, and then dividing the charging response range into circle layers based on the preset radius gradient to obtain multiple response dimensions. For example, a plurality of preset radius gradients are set to sequentially increase from the to-be-managed charging station, each preset radius gradient and the to-be-managed charging station together constitute a concentric circle, and the annular area between the adjacent two concentric circles forms an independent response dimension. According to the relative dimension distance between each response dimension and the to-be-managed charging station and the preset response weight mapping relationship, the response weight corresponding to each response dimension is determined, wherein the preset response weight mapping relationship is the corresponding relationship between the relative dimension distance and the response weight, and the specific content is not specifically limited in the embodiments of the present application, and can be determined by relevant staff according to historical experimental data and uploaded to the control system.

[0035] Step S130: obtaining the driving authorized vehicle in each response dimension and the potential characteristics of each driving authorized vehicle, and determining the potential index corresponding to each driving authorized vehicle based on the potential characteristics of the driving authorized vehicle in each response dimension and the response weight.

[0036] Specifically, the driving authorized vehicle includes at least two types, one of which can be a vehicle that actively issues a charging query demand through an official APP, a mini program or a third reservation platform of the charging station to be managed. The access authorization can be obtained when the relevant vehicle owner issues the charging query demand, so that the authorized vehicle information of the driving authorized vehicle can be queried and analyzed based on the query demand when the driving authorized vehicle enters any response dimension. The other type can be a vehicle that has a binding relationship with the charging station to be managed, for example, a certain brand charging station mainly serves vehicles under the brand. When this type of vehicle enters any response dimension, the dispatching system can automatically identify and obtain the authorized vehicle information of the binding vehicle based on the vehicle-mounted system or positioning authorization of the binding vehicle. The specific driving authorized vehicle is not limited in the embodiments of the present application, and can be set according to actual dispatching needs.

[0037] After the authorized vehicle information of the driving authorized vehicle is identified and obtained, the potential characteristics of the driving authorized vehicle can be identified from the authorized vehicle information based on a preset characteristic identification algorithm. The potential characteristics can include real-time remaining power, current driving direction, historical charging record, cruising range, charging type, etc., and the specific content is not limited in the embodiments of the present application. After the potential characteristics of each driving authorized vehicle are quantified based on a preset quantification standard to obtain a plurality of characteristic potential values, the total potential score is obtained by summing the plurality of characteristic potential values, and the potential index of each driving authorized vehicle is determined based on the response weight corresponding to the response dimension where each driving authorized vehicle is located and the total potential score. The preset quantification standard is the characteristic potential value corresponding to different potential characteristics and characteristic values, for example, the characteristic potential value is 10 points when the remaining power is less than 20%, the characteristic potential value is 5 points when the remaining power is between 20% and 50%, and the characteristic potential value is 2 points when the remaining power is more than 50%. The characteristic potential value is 8 points when the current driving direction is towards the charging station to be managed, and the characteristic potential value is 3 points when the current driving direction is away from the charging station to be managed. The preset quantification standard can be determined by relevant staff based on historical experimental data and uploaded to the control system in advance.

[0038] Step S140: determining a first potential vehicle based on the potential index of each driving authorized vehicle, and determining the limit range and limit weight corresponding to each first potential vehicle based on the potential index of the first potential vehicle.

[0039] Specifically, after determining the potential index of each driving authorized vehicle, the driving authorized vehicle with a potential index higher than a preset index threshold is determined as a first potential vehicle, and the driving authorized vehicle with a potential index not higher than the preset index threshold is determined as a second potential vehicle. The specific preset index threshold is not limited in the embodiments of the present application, and the specific number of the first potential vehicle is not limited in the embodiments of the present application. The first potential vehicle is a driving authorized vehicle that has a higher probability to generate actual charging for the to-be-managed charging station, for example, a driving authorized vehicle with low remaining power, short distance, and current driving direction towards the to-be-managed charging station. The limit area corresponding to the potential index of the first potential vehicle can be determined based on a preset limit area mapping relationship. The preset limit area mapping relationship is a corresponding relationship between the potential index and the limit area, and the specific content is not limited in the embodiments of the present application, which can be determined by relevant staff according to historical experimental data and uploaded to the scheduling system. The limit range of the first potential vehicle is a circular region with the current position of the first potential vehicle as the core and the limit area as the size. The larger the potential index of the first potential vehicle is, the larger the limit area is. The limit area is inversely proportional to the potential index of the first potential vehicle, that is, the larger the potential index is, the smaller the limit weight is. The limit weight quantifies the influence of the first potential vehicle, ensuring that when analyzing the second potential vehicle, the first potential vehicle with high credibility and high charging demand is given priority, and the second potential vehicle with low credibility and low charging demand around the first potential vehicle is weakened, thereby improving the accuracy of the potential charging demand prediction.

[0040] Step S150: obtaining the second potential features of the second potential vehicles in each limit range, and generating a target to-be-controlled charging parameter based on the first potential features corresponding to each first potential vehicle, the second potential features of each second potential vehicle, and the limit weights corresponding to the limit ranges.

[0041] Specifically, the non-first potential vehicle entering any limit range corresponding to the first potential vehicle is determined as the second potential vehicle. In order to distinguish, the potential features of the first potential vehicle are determined as the first potential features, and the potential features of the second potential vehicle are determined as the second potential features. By analyzing the first potential features, the second potential features, and the limit weights corresponding to the second potential vehicle, the total potential charging demand information of the first potential vehicle and the second potential vehicle can be determined, and the total charging demand information includes the total charging power demand and the charging time period demand. Based on the total potential charging demand information, the charging parameter that needs to be controlled, that is, the target to-be-controlled charging parameter, can be determined to meet the charging demand of the first potential vehicle and the second potential vehicle. The target to-be-controlled charging parameter is the charging power and the charging time period that need to be added.

[0042] Step S160: optimizing the initial charging resource allocation strategy based on the target to-be-controlled charging parameter to obtain a target charging resource allocation strategy.

[0043] Specifically, the allocated charging time period and the allocated charging power in the initial charging resource allocation strategy can be identified first, the newly added charging time period corresponding to the target to be regulated charging parameter is inserted into the unallocated charging time period, and the corresponding charging power is allocated to it, so as to realize the updating of the initial charging resource allocation strategy. However, the allocated charging time period and the newly added charging time period may conflict. In order to facilitate the improvement of the pertinence and accuracy in the conflict solving process, when the initial charging resource allocation strategy is optimized based on the target to be regulated charging parameter, the following steps can be included: The newly added charging task parameter corresponding to the target to be regulated charging parameter is identified, the newly added charging task parameter including the newly added charging time period and the newly added charging power; the allocated charging time period and the allocated charging power corresponding to each charging pile in the initial charging resource allocation strategy are identified; the conflict charging time period is determined from the allocated charging time period based on the newly added charging time period and the allocated charging time period, and the conflict charging demand parameter corresponding to the conflict charging time period is obtained, the conflict charging demand parameter including the conflict charging demand power and the conflict charging type; the adjustable charging strategy is determined based on the conflict charging demand parameter, and the initial charging resource allocation strategy is optimized according to the adjustable charging strategy, the adjustable charging strategy including the migratable allocated charging time period, the migratable allocated charging power and the newly added dispatching power.

[0044] Specifically, the preset feature recognition algorithm can be used to determine the added charging time period and the added charging power from the target to-be-regulated charging parameter, and the allocated charging time period and the allocated charging power can be identified from the initial charging resource allocation strategy, and the allocated charging time period and the allocated charging power can be divided according to the charging piles. The specific preset feature recognition algorithm is not limited in the embodiments of the present application. The added charging time period and the allocated charging time period can be compared in segments according to the time axis to determine the conflict charging time period. If the added charging time period and the allocated charging time period completely overlap or partially overlap, the overlapping time period can be determined as the conflict charging time period. For example, if the added charging time period is 16:00-17:00, and the allocated charging time period of a certain charging pile in the to-be-managed charging station is 16:00-17:00, this case is completely overlapped, and 16:00-17:00 can be determined as the conflict charging time period. If the added charging time period is 16:20-17:00, and the allocated charging time period is 16:00-17:00, this case is partially overlapped, and 16:20-17:00 can be determined as the conflict charging time period. In the initial charging resource allocation strategy, the allocated charging time period corresponds to the allocated charging power. After the allocated charging time period is determined, the corresponding allocated charging power can be directly determined. Similarly, after the conflict charging time period is determined from the allocated charging time period, the conflict charging demand power can be determined from the allocated charging power corresponding to the allocated charging time period based on the time period proportion of the conflict charging time period and the allocated charging time period. The conflict charging type is consistent with the charging type corresponding to the allocated charging time period, including fast charging or slow charging.

[0045] When determining the adjustable charging strategy based on the conflict charging demand parameter, the unreserved charging period corresponding to each charging pile can be identified from the initial charging resource allocation strategy first, and whether the charging period conflict can be eliminated by time period migration is determined by comparing the time lengths, i.e., the conflict charging period is migrated to other idle charging periods, for example, the conflict charging period of charging pile a is migrated from 16:00-17:00 to the idle charging period 15:00-16:00 of charging pile b. After determining that the conflict charging period can be migrated to the idle charging period, it is further determined whether the migrated charging pile is adapted to the conflict charging demand power in the conflict charging demand parameter. If not, the migratable allocated charging power is determined according to the conflict charging demand power and the current charging power of the migrated charging pile, for example, the conflict charging demand power is 100 kW, and the current charging power of the migrated charging pile is 60 kW, and the migratable allocated charging power is determined to be 50 kW. Since the purpose of eliminating the conflict is to meet the charging demand of the potential vehicle, when determining the migratable allocated charging period, the migration operation needs to be performed based on a preset migration standard, and the preset migration standard is that the time interval difference between the end time of the charging period before migration and the end time of the charging period after migration is not higher than a preset difference threshold, for example, if the preset difference threshold is 2 hours, the interval difference between the end time of the conflict charging period 16:00-17:00 and the end time of the idle charging period of any charging pile is not higher than 2 hours, and the interval difference between the end time of the conflict charging period 16:00-17:00 and the end time of the idle charging period of any charging pile is not higher than 2 hours. The period can be 14:00-19:00, i.e., the interval difference between 16:00 in the conflict charging period and 14:00 is not higher than 2 hours, and the interval difference between 17:00 in the conflict charging period and 19:00 is not higher than 2 hours. The specific preset difference threshold is not limited in the embodiments of the present application.

[0046] If the conflict cannot be eliminated by time period migration or power migration, the allocated charging power in the multiple reserved charging tasks of the allocated charging pile in the conflict period can be increased based on the charging reservation information, for example, when the charging type of a reserved vehicle is fast charging and the reserved charging power demand is 80 kW, the safety charging power range 80-120 kW of the reserved vehicle can be analyzed, at this time, the reserved charging power can be appropriately increased from 80 kW to 100 kW, so as to shorten the charging time of the reserved charging vehicle, thereby achieving the effect of eliminating the conflict. When it is determined that the reserved charging power needs to be adjusted, a modification request needs to be sent to the corresponding reserved vehicle owner, and the charging power can be adjusted only after the reserved vehicle owner agrees. The way to solve the conflict charging demand is not limited in the embodiments of the present application, as long as after the initial charging resource allocation strategy is optimized according to the adjustable charging strategy, the reserved charging demand can be met while the potential charging demand of the potential vehicle is met as much as possible.

[0047] For the embodiments of the present application, by analyzing the charging reservation information and determining the initial charging resource allocation strategy accordingly, it is convenient to preliminarily allocate charging resources to vehicles that have explicitly indicated charging needs, avoiding the confusion and inefficiency that may be caused by starting from zero. By analyzing the charging reservation information, it is convenient to preliminarily grasp the charging load situation of the charging station to be managed. Then, according to the charging load situation, multiple charging response ranges are set, and different response weights are set for different charging response ranges, which facilitates multi-dimensional consideration of the influencing factors of the charging needs of non-reserved vehicle owners. By analyzing the potential characteristics of the driving authorized vehicles and combining the response weights in different dimensions, it is convenient to quantify the potential demand degree of each driving authorized vehicle for charging resources. By comprehensively considering the potential characteristics of different potential vehicles, it is convenient to more comprehensively understand the potential charging demand faced by the charging station to be managed. Finally, based on the potential charging demand, the initial charging resource allocation strategy is optimized to facilitate the dynamic scheduling of charging resources. Through dynamic scheduling, it is convenient to timely adjust the resource allocation and use of each charging pile in the charging station to be managed according to the actual charging demand, avoiding problems such as overload of charging piles and unstable voltage, thereby facilitating the improvement of the stability of the charging pile in the charging process and ensuring the reliability and efficiency of the charging service.

[0048] Further, in order to facilitate the accuracy of determining the target to-be-controlled charging parameter, the technical scheme provided by the embodiments of the present application can specifically include the following steps when generating the target to-be-controlled charging parameter based on the first potential characteristic corresponding to each first potential vehicle, the second potential characteristic of each second potential vehicle, and the limit weight corresponding to each limit range: Based on each first potential vehicle and the first potential characteristic corresponding to each first potential vehicle, the first to-be-controlled charging parameter corresponding to all first potential vehicles is determined. The potential position of each second potential vehicle is obtained, the limit weight corresponding to the limit range where each potential position is located is determined, and based on the relative potential distance between each potential position and the charging station to be managed, the distance weight corresponding to the potential position of each second potential vehicle is determined. Based on the second potential characteristic of each second potential vehicle and the distance weight, the potential to-be-controlled charging parameter of each second potential vehicle is determined. Based on the limit weight and the potential to-be-controlled charging parameter of each second potential vehicle, the second to-be-controlled charging parameter corresponding to each first potential vehicle is determined. The target to-be-controlled charging parameter is determined based on the first to-be-controlled charging parameter and the second to-be-controlled charging parameter of all first potential vehicles.

[0049] Specifically, the first potential features of all the first potential vehicles are integrated to obtain the potential charging demand of all the first potential vehicles, i.e., the first to-be-regulated charging parameter, the first to-be-regulated charging parameter including the first newly-added charging time period and the first newly-added charging power. The arrival time, the expected charging duration and the adaptive charging power of each first potential vehicle can be determined by analyzing the vehicle information and the historical charging information of each first potential vehicle.

[0050] Since the relative vehicle distances between different second potential vehicles and the first potential vehicles are different, the first potential vehicles corresponding to the limiting ranges in which the different second potential vehicles are located are also different. The potential positions of each second potential vehicle can be determined based on the authorized positioning information, and then the limiting weights corresponding to each second potential vehicle can be determined according to the limiting range in which each potential position is located. The limiting weights are used to weaken the potential charging demand of the second potential vehicle. Since the relative potential distances between different second potential vehicles in the same limiting range and the to-be-managed charging station are different, when the potential charging demand of the second potential vehicle is weakened based on the limiting weight, the different second potential vehicles in the same limiting range can be distinguished according to the relative potential distances between the second potential vehicles and the to-be-managed charging station, i.e., the second potential features of each second potential vehicle are weakened according to the distance weight, and then the potential to-be-regulated charging parameter is determined based on the weakened second potential features, the potential to-be-regulated charging parameter being the newly-added charging power and the charging time period required by the second potential vehicle. The distance weight of each second potential vehicle can be determined based on a preset distance weight mapping relationship, the preset distance weight mapping relationship being a corresponding relationship between the relative potential distance and the distance weight, the smaller the relative potential distance, the greater the corresponding distance weight, and the specific content of the preset distance weight mapping relationship is not limited in the embodiments of the present application, and can be determined by relevant staff according to historical experimental data and uploaded to the regulation system.

[0051] After the potential feature regulation charging parameters of each second potential vehicle are determined, the potential feature regulation charging parameters of all the second potential vehicles are weakened based on the corresponding limiting weights to obtain the weakened potential feature regulation charging parameters. The weakened results of the first potential vehicle corresponding to all the second potential vehicles are integrated to obtain the second to-be-regulated charging parameter corresponding to the first potential vehicle. Finally, the target to-be-regulated charging parameter is determined by integrating the first to-be-regulated charging parameter and the second to-be-regulated charging parameter of all the first potential vehicles.

[0052] By distinguishing the first potential vehicle and the second potential vehicle, and respectively determining the respective corresponding to-be-regulated charging parameters, the charging resources can be accurately bound with the demands of different types of potential vehicles. In addition, by introducing the distance weight of the second potential vehicle, different second potential vehicles can be distinguished and managed, so as to improve the accuracy when the second to-be-regulated charging parameter is determined subsequently, thereby improving the accuracy when the target to-be-regulated charging parameter is determined.

[0053] Further, in order to facilitate ensuring that the to-be-managed charging station can efficiently handle the charging demands of the key potential vehicles when the collective potential charging task impact arrives, the technical solution provided by the embodiments of the present application further includes steps S210-S230, as shown in the following table: Figure 2 Step S210: judging whether there is a key potential vehicle based on the potential index of each first potential vehicle, the key potential vehicle being the first potential vehicle whose potential index is higher than a preset index threshold.

[0054] Specifically, by comparing the potential index of each first potential vehicle with the preset index threshold, the key potential vehicle can be determined from the first potential vehicle, wherein the preset index threshold can be uploaded to the scheduling system by the relevant staff in advance. By screening the key potential vehicle through the potential index, resource waste caused by indiscriminate management of all first potential vehicles is avoided, thereby facilitating the control resources to focus on the high demand subject.

[0055] Step S220: if yes, identifying the number of key vehicles of the key potential vehicles in the first preset observation time period, and when the number of key vehicles is greater than a preset number threshold, determining the dynamic moving area of all key potential vehicles based on the dynamic potential positions of the key potential vehicles.

[0056] Specifically, when the first potential vehicle includes the key potential vehicle, the number of key potential vehicles appearing in the first preset observation time period can be counted. When the number of key vehicles of the key potential vehicles is greater than the preset number threshold, it is indicated that the to-be-managed charging station may face a large charging task in a short period of time. At this time, the response strategy of the to-be-managed charging station needs to be adjusted according to the real-time positions of all key potential vehicles. The first preset observation time period is a period of time after the first key potential vehicle is determined. The specific preset number threshold is not limited in the embodiments of the present application. Since the key potential vehicle can be driving to the to-be-managed charging station, the area formed by multiple key potential vehicles is also in dynamic change. The dynamic moving area can be obtained by connecting the dynamic potential positions of the key potential vehicles.

[0057] ​Step S230: When the area of the dynamic moving area is less than the preset area threshold, and the fluctuation value of the area within the second preset observation time period is less than the preset fluctuation threshold, a response weakening instruction is generated based on the limitation range of each key potential vehicle.

[0058] Specifically, whether the time of arrival of the plurality of key potential vehicles at the to-be-managed charging station is concentrated can be predicted by analyzing the area of the dynamic moving area. When the area of the dynamic moving area is less than the preset area threshold, and the fluctuation value of the area within the second preset observation time period is less than the preset fluctuation threshold, it is indicated that the plurality of key potential vehicles will arrive at the to-be-managed charging station successively in a short time, that is, the to-be-managed charging station needs to cope with the new charging demand of the plurality of key potential vehicles in a short time. At this time, in order to reduce the regulation workload of the to-be-managed charging station, a response weakening instruction can be generated after it is determined that the plurality of key potential vehicles will arrive at the to-be-managed charging station successively in a short time, for not receiving the query demand of other potential vehicles or weakening the response frequency to the query demand of other potential vehicles before the plurality of key potential vehicles end the charging task. The second preset observation time period is a period of time after the dynamic moving area is determined.

[0059] By analyzing the change of the dynamic moving area formed by all the key potential vehicles, the aggregation of all the key potential vehicles can be quantified, so as to evaluate the risk that all the key potential vehicles collectively cause task impact on the to-be-managed charging station in a short time, and when the risk is high, the response weakening instruction is generated to reduce the invalid interaction between the non-key potential vehicles and the to-be-managed charging station, so as to facilitate efficient processing of the charging demand of the key potential vehicles when the collective potential charging task impact arrives.

[0060] Further, when the number of key vehicles is not greater than the preset number threshold, the method provided by the embodiment of the application can further include: obtaining a current potential position of the key potential vehicle, determining a predicted arrival time of the key potential vehicle at the to-be-managed charging station based on the current potential position, determining a charging load level of the to-be-managed charging station based on the predicted arrival time, determining a feature evaluation value of the key potential vehicle corresponding to the key potential feature based on the charging load level, determining a to-be-evaluated potential feature and an evaluation interval corresponding to the to-be-evaluated potential feature based on each key potential feature and the corresponding feature evaluation value, and determining a new key potential vehicle from other first potential vehicles based on the to-be-evaluated potential feature and the evaluation interval.

[0061] Specifically, when the number of the key vehicles is not greater than the preset number threshold, it is indicated that there is a key potential vehicle in the first potential vehicles. At this time, it can not be determined that the key potential vehicle will cause a collective charging task impact on the to-be-managed charging station in a short time, but the to-be-managed charging station still faces the risk of collective charging task impact. The predicted arrival time of all the key potential vehicles arriving at the to-be-managed charging station can be analyzed, and based on the charging task faced by the to-be-managed charging station at the predicted arrival time of the key potential vehicles, and based on the charging task and the full load task amount of the to-be-managed charging pile, the charging load level of the to-be-managed charging station at the predicted arrival time can be determined. Different charging load levels correspond to different investigation parameter information, wherein the investigation parameter information includes the key potential feature and the feature investigation value of the key potential feature. The investigation parameter information corresponding to the charging load level can be determined based on the preset investigation parameter mapping relationship, and the preset investigation parameter mapping relationship is the corresponding relationship between the charging load level and the investigation parameter information. Finally, the screening logic of the key potential vehicle is adjusted based on the investigation parameter information, and the accurate expansion of the range of the key potential vehicle is realized, which is convenient for avoiding the blind area of regulation and control, and is convenient for ensuring that the new objects match the actual load capacity of the to-be-managed charging station.

[0062] When the screening logic of the key potential vehicle is adjusted based on the investigation parameter information, the investigation interval can be generated directly based on the feature investigation value of the key potential feature determined by the charging load level. For example, when the feature investigation value is 95, the corresponding investigation interval can be 85-95. By increasing the investigation interval, the screening standard is reduced, thereby realizing expansion. Based on the to-be-investigated potential feature and the investigation interval, the first potential feature of other first potential vehicles is monitored in real time. When the to-be-investigated potential feature in the first potential feature is located in the corresponding investigation interval, the new key potential vehicle can be determined from the other first potential vehicles.

[0063] Further, in order to improve the resource utilization rate, after the initial charging resource allocation strategy is optimized according to the adjustable charging strategy, the technical scheme provided by the present application can further include: obtaining the index fluctuation rate of the potential index of each driving authorized vehicle in a preset investigation time period, when the index fluctuation rate is lower than the preset fluctuation rate threshold, determining the broadcast range based on the fluctuation rate difference between the index fluctuation rate and the preset fluctuation rate threshold; generating a broadcast signal based on the adjustable charging strategy and the broadcast range, and broadcasting to the driving authorized vehicles in the broadcast range.

[0064] Specifically, the preset observation period is a time after the initial charging resource allocation strategy for the managed charging station has been optimized based on the potential index of each authorized vehicle. By analyzing the index volatility of each authorized vehicle within the preset observation period, it is possible to assess whether potential charging demand has shifted. When the index volatility is lower than a preset volatility threshold, it indicates that the potential charging demand of the corresponding authorized vehicle is less stable. However, since the initial charging resource allocation strategy for the managed charging station has already been optimized based on potential charging demand, to avoid ineffective optimization, a broadcast range can be determined based on the volatility difference between the index volatility and the preset volatility threshold when the index volatility is lower than the threshold. By actively broadcasting within the broadcast range to wake up the less stable authorized vehicles, the probability of authorized vehicles arriving at the managed charging station for actual charging is increased, thereby reducing the probability of wasted or idle scheduling resources after conflict optimization. Since the volatility difference between the index volatility and the preset volatility threshold is used to characterize the degree of potential charging demand shift, accurately determining the broadcast range based on the degree of demand shift helps to reduce the probability of wasted or idle scheduling resources while ensuring the charging rights of other authorized vehicles whose charging demand has not shifted.

[0065] Furthermore, when the adjustable charging strategy includes preset charging features, the technical solution provided in this application embodiment may further include: The system determines directional broadcasting characteristics based on preset charging features included in the adjustable charging strategy; it acquires authorized charging parameters for authorized vehicles traveling within the broadcast range, including authorized remaining battery capacity and authorized charging habits; based on the directional broadcasting characteristics and each authorized charging parameter, it identifies directional broadcasting vehicles from the authorized vehicles traveling within the broadcast range and determines the directional level of each directional broadcasting vehicle; it determines the broadcasting order based on the directional level of each directional broadcasting vehicle, and broadcasts to each directional broadcasting vehicle based on the broadcasting order.

[0066] Specifically, the preset charging characteristics are that the duration of the idle charging period is shorter than a preset duration threshold, and the idle charging power is higher than a preset power threshold. The specific preset duration threshold and preset power threshold are not specifically limited in this embodiment. The preset charging characteristics are converted into matching conditions that can be used for targeted vehicle screening. For example, if the idle charging period is 16:00-17:00 and the idle charging power can meet 80-100kW fast charging, the corresponding targeted broadcast characteristics are determined as: "Target period: 16:00-17:00", "Power requirement compatible: [60kW, 100kW]", "Supports fast charging".

[0067] The authorized remaining power and the authorized charging habit of the authorized charging parameter of the authorized vehicle driving in the broadcast range can be identified based on a preset feature recognition algorithm, and the feature adaptation degree between the authorized charging parameter of each authorized vehicle driving in the broadcast range and the directional broadcast feature is verified one by one, for example, based on the authorized charging parameter of vehicle X, it can be determined that the current remaining power of vehicle X is 25%, which represents that vehicle X is in the need of charging state, the habit of fast charging, the habit of charging period is 16:30-17:30, and the charging power preference is 80kW (e[60, 100kW]), and the feature adaptation degree between vehicle X and the directional broadcast feature can be determined as 100%. The authorized vehicle driving in the broadcast range with a feature adaptation degree lower than a preset adaptation threshold is removed to obtain the directional broadcast vehicle, and the broadcast order is determined based on the feature adaptation degree of each directional broadcast vehicle, for example, the adjustable charging strategy can be pushed to the directional broadcast vehicle with a higher feature adaptation degree first, and then pushed to the directional broadcast vehicle with a lower feature adaptation degree after a certain time interval, if the directional broadcast vehicle with a higher feature adaptation degree confirms the arrival, the broadcast to the directional broadcast vehicle with a lower feature adaptation degree can be reduced or stopped, avoiding the situation that the limited charging resource is occupied by the low-priority demand, thereby facilitating to improve the matching efficiency of the limited charging resource and the high-priority demand.

[0068] An embodiment of the present application provides a scheduling system, as shown in Figure 3 The scheduling system 300 shown in Figure 3 The scheduling system 300 shown in

[0069] The processor 301 can be a CPU (Central Processing Unit, central processor), a general-purpose processor, a DSP (Digital Signal Processor, data signal processor), an ASIC (Application Specific Integrated Circuit, application specific integrated circuit), an FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can realize or execute various exemplary logical blocks, modules and circuits described in combination with the disclosure content of the present application. The processor 301 can also be a combination of computing functions, such as one or more microprocessor combinations, combinations of DSP and microprocessor, etc.

[0070] Bus 302 may include a pathway for transmitting information between the aforementioned components. Bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 302 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The symbol is represented by only one line, but this does not mean that there is only one bus or one type of bus.

[0071] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0072] The memory 303 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0073] The dispatch system includes, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. It can also include servers. Figure 3 The scheduling system shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0074] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments.

[0075] The embodiments of the present application provide a computer program product, which comprises a computer program, and the computer program is executed by a processor to realize the method in any of the above embodiments.

[0076] It should be understood that, although each step in the flowchart of the accompanying drawings is shown in sequence according to the indication of the arrow, these steps are not necessarily executed in sequence according to the indication of the arrow. Unless explicitly stated herein, the execution of these steps is not strictly limited in sequence, and they can be executed in other sequences. Moreover, at least part of the steps in the flowchart of the accompanying drawings can comprise multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or sub-steps or stages of other steps.

[0077] The above only describes some embodiments of the present application, and it should be pointed out that, for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. A method for intelligent scheduling of pre-arranged charging, characterized in that, include: Obtain charging reservation information for the charging stations to be managed, and determine the initial charging resource allocation strategy based on the charging reservation information; Based on the charging reservation information, the charging response range corresponding to the charging station to be managed is determined. The charging response range includes multiple response dimensions, and different response dimensions have different response weights. Obtain the authorized vehicles and their potential features within each response dimension, and determine the potential index corresponding to each authorized vehicle based on the potential features and response weights of the authorized vehicles within each response dimension. The first potential vehicle is determined based on the potential index of each authorized vehicle, and the restriction range and restriction weight corresponding to each first potential vehicle are determined based on the potential index corresponding to the first potential vehicle. Obtain the second potential features of the second potential vehicle within each restriction range, and generate the target charging parameters to be adjusted based on the first potential features corresponding to each first potential vehicle, the second potential features of each second potential vehicle, and the restriction weights corresponding to each restriction range. The initial charging resource allocation strategy is optimized based on the target charging parameters to be adjusted to obtain the target charging resource allocation strategy.

2. The intelligent scheduling method for scheduled charging according to claim 1, characterized in that, The generation of target charging parameters to be adjusted based on the first potential features corresponding to each first potential vehicle, the second potential features of each second potential vehicle, and the constraint weights corresponding to each constraint range includes: Based on each first potential vehicle and the first potential feature corresponding to each first potential vehicle, determine the first charging parameter to be adjusted for all first potential vehicles. Obtain the potential location of each second potential vehicle, determine the restriction weight corresponding to the restricted range of each potential location, and determine the distance weight corresponding to the potential location of each second potential vehicle based on the relative potential distance between each potential location and the charging station to be managed. Based on the second potential characteristics and distance weight of each second potential vehicle, the potential charging parameters to be regulated for each second potential vehicle are determined; Based on the restriction weight of each second potential vehicle and the potential charging parameters to be adjusted, the second charging parameters to be adjusted for each first potential vehicle are determined. The target adjustable charging parameter is determined based on the first and second adjustable charging parameters of all first potential vehicles.

3. The intelligent scheduling method for scheduled charging according to claim 1, characterized in that, Also includes: Based on the potential index of each first potential vehicle, it is determined whether there are key potential vehicles. The key potential vehicles are the first potential vehicles whose potential index is higher than a preset index threshold. If so, the number of key potential vehicles within the first preset observation period is identified, and when the number of key vehicles is greater than a preset threshold, the dynamic movement area of ​​all key potential vehicles is determined based on the dynamic potential location of each key potential vehicle. When the area of ​​the dynamically moving region is less than a preset area threshold, and the fluctuation value of the area is lower than a preset fluctuation threshold during the second preset observation period, a response weakening instruction is generated based on the restriction range of each key potential vehicle.

4. The intelligent scheduling method for scheduled charging according to claim 3, characterized in that, When the number of key vehicles is not greater than the preset number threshold, the method further includes: Obtain the current potential location of key potential vehicles, and determine the predicted arrival time of the key potential vehicles at the charging station to be managed based on the current potential location; The charging load level of the charging station to be managed is determined based on the predicted arrival time, and the feature examination value of the key potential characteristics corresponding to the key potential vehicle is determined based on the charging load level. Based on each key potential feature and its corresponding feature evaluation value, determine the potential feature to be examined and the evaluation interval corresponding to the potential feature to be examined. Based on the potential characteristics to be investigated and the investigation interval, new key potential vehicles are identified from other first potential vehicles.

5. The intelligent scheduling method for scheduled charging according to claim 1, characterized in that, The optimization of the initial charging resource allocation strategy based on the target adjustable charging parameters includes: Identify the new charging task parameters corresponding to the target charging parameters to be adjusted, wherein the new charging task parameters include new charging time period and new charging power; Identify the allocated charging time period and allocated charging power for each charging pile in the initial charging resource allocation strategy; Based on the newly added charging period and the allocated charging period, conflicting charging periods are determined from the allocated charging periods, and conflicting charging demand parameters corresponding to the allocated charging demand of the conflicting charging periods are obtained. The conflicting charging demand parameters include conflicting charging demand power and conflicting charging type. An adjustable charging strategy is determined based on the conflicting charging demand parameters, and the initial charging resource allocation strategy is optimized according to the adjustable charging strategy. The adjustable charging strategy includes transferable charging time periods, transferable charging power, and additional scheduling power.

6. The intelligent scheduling method for scheduled charging according to claim 5, characterized in that, After optimizing the initial charging resource allocation strategy according to the adjustable charging strategy, the method further includes: The potential index volatility of each authorized vehicle within a preset observation period is obtained. When the index volatility is lower than a preset volatility threshold, the broadcast range is determined based on the volatility difference between the index volatility and the preset volatility threshold. Based on the adjustable charging strategy and the broadcast range, a broadcast signal is generated and broadcast to authorized vehicles within the broadcast range.

7. The intelligent scheduling method for scheduled charging according to claim 6, characterized in that, When the adjustable charging strategy includes preset charging features, it further includes: The directional broadcasting feature is determined based on the preset charging features included in the adjustable charging strategy; Obtain the authorized charging parameters of authorized vehicles traveling within the broadcast range. The authorized charging parameters include the authorized remaining battery level and authorized charging habits. Based on the directional broadcasting characteristics and each authorized charging parameter, directional broadcasting vehicles are identified from the authorized vehicles traveling within the broadcasting range, and the directional level of each directional broadcasting vehicle is determined. The broadcast order is determined based on the orientation level of each directional broadcasting vehicle, and broadcasts are made to each directional broadcasting vehicle based on the broadcast order.

8. A scheduling system, characterized in that, The scheduling system includes: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform a scheduled charging intelligent scheduling method according to any one of claims 1-7.

9. A computer-readable storage medium, characterized in that, include: The computer program is stored and can be loaded by a processor and executed as described in any one of claims 1-7.

10. A computer program product, characterized in that, The method includes a computer program that, when executed by a processor, implements the steps of the intelligent scheduling method for scheduled charging as described in any one of claims 1-7.

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