CN110738432A

CN110738432A - New energy automobile charging management method and device, server and readable storage medium

Info

Publication number: CN110738432A
Application number: CN201911034513.3A
Authority: CN
Inventors: 孙凯旋
Original assignee: Individual
Current assignee: Shenzhen Sanway Electronical Technology Co ltd
Priority date: 2019-10-29
Filing date: 2019-10-29
Publication date: 2020-01-31
Anticipated expiration: 2039-10-29
Also published as: CN111476498A; CN111476498B; CN110738432B; CN111452660A; CN111452660B

Abstract

The embodiment of the application provides new energy vehicles charging management methods, devices, servers and readable storage media, and by considering the characteristics of other second vehicle charging information of a target new energy vehicle corresponding to each th vehicle charging information in charging management information acquired from charging piles in a target charging management area, charging configuration parameters of the charging piles in the target charging management area are accurately adjusted for the specific charging area and the new energy vehicle according to the characteristic comparison result between the th vehicle charging information and the other second vehicle charging information, so that charging accumulated errors of the new energy vehicle are greatly reduced, and the charging management effect is improved.

Description

New energy automobile charging management method and device, server and readable storage medium

Technical Field

The application relates to the technical field of new energy vehicles, in particular to new energy vehicle charging management methods and devices, a server and a readable storage medium.

Background

In order to meet the charging requirements of new energy vehicles, a plurality of charging piles are established in a plurality of areas at present, however, the specification standards of most of the charging piles are not , the quality difference is large, the using process is complicated and disordered, and the charging configuration parameters of the charging piles are fixed before the charging piles are put into use and are not reasonable in advance, so when the new energy vehicles are charged by the charging piles, charging accumulated errors aiming at the new energy vehicles inevitably exist, especially aiming at a plurality of different charging areas and different new energy vehicles, the charging accumulated errors are usually more difficult to avoid through simple parameter adjustment, and great challenges are brought to the charging management experience of the new energy vehicles.

Disclosure of Invention

In order to overcome at least the above disadvantages in the prior art, the present application aims to provide new energy vehicles charging management methods, apparatuses, servers, and readable storage media, so as to accurately adjust charging configuration parameters of charging piles in a target charging management area for a specific charging area and a new energy vehicle, and facilitate a new energy vehicle user to timely perceive charging management services.

, the application provides new energy vehicle charging management methods, which are applied to servers, wherein the servers are respectively in communication connection with charging piles in charging management areas of various new energy vehicles and in communication connection with user terminals, and the methods comprise:

for each th vehicle charging information in the charging management information acquired from the charging pile of the target charging management area, performing feature extraction on the th vehicle charging information;

determining a feature comparison result between the th vehicle charging information and other second vehicle charging information according to the extracted th vehicle charging information features and other second vehicle charging information features of the target new energy vehicle corresponding to the th vehicle charging information;

determining charging adjustment parameters of charging piles in the target charging management area according to the characteristic comparison result;

adjusting the charging configuration parameters of the charging piles in the target charging management area according to the charging adjustment parameters of the charging piles in the target charging management area;

and sending corresponding charging adjustment information to a user terminal corresponding to the target new energy automobile of which the charging pile in the target charging management area completes charging settlement within a preset time period from the current time point according to the adjusted charging configuration parameters of the charging pile in the target charging management area.

In a second aspect, the present application provides new energy vehicles charging management devices, which are applied to a server, the server is respectively connected in communication with charging piles in charging management areas of respective new energy vehicles, and is connected in communication with a user terminal, the device includes:

the characteristic extraction module is used for extracting the characteristic of each th vehicle charging information in the charging management information acquired from the charging pile of the target charging management area, wherein the th vehicle charging information is obtained from the charging pile of the target charging management area;

an determining module, configured to determine a feature comparison result between the th vehicle charging information and other second vehicle charging information according to the extracted features of the st vehicle charging information and features of other second vehicle charging information of the target new energy vehicle corresponding to the th vehicle charging information;

the second determining module is used for determining charging adjustment parameters of the charging piles in the target charging management area according to the characteristic comparison result;

the adjusting module is used for adjusting the charging configuration parameters of the charging piles in the target charging management area according to the charging adjustment parameters of the charging piles in the target charging management area;

and the sending module is used for sending corresponding charging adjustment information to a user terminal corresponding to the target new energy automobile of which the charging settlement of the charging pile in the target charging management area is completed within a preset time period from the current time point according to the adjusted charging configuration parameters of the charging pile in the target charging management area.

In a third aspect, embodiments of the present application provide servers, which include a processor, a memory, and a network interface, where the memory and the network interface may be connected via a bus system, the network interface is configured to receive messages, the memory is configured to store programs, instructions, or codes, and the processor is configured to execute the programs, instructions, or codes in the memory to perform the operations described above in any possible design of aspect or aspect .

In a fourth aspect, embodiments of the present application provide computer-readable storage media having stored therein instructions that, when executed on a computer, cause the computer to perform the method of any of the possible designs of aspect or aspect .

Based on any aspects, the present application considers the characteristics of other second vehicle charging information of the target new energy vehicle corresponding to each th vehicle charging information in the charging management information obtained from the charging pile of the target charging management area, and according to the result of comparing the characteristics of the th vehicle charging information with the other second vehicle charging information, the charging configuration parameters of the charging pile of the target charging management area are accurately adjusted for the specific charging area and the new energy vehicle, so as to greatly reduce the charging accumulated error for the new energy vehicle and improve the charging management effect.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 is a schematic view of an application scenario of a new energy vehicle charging management method according to an embodiment of the present application;

fig. 2 is a schematic flowchart of a new energy vehicle charging management method according to an embodiment of the present application;

FIG. 3 is a flowchart illustrating the sub-steps included in step S120 shown in FIG. 2;

FIG. 4 is a flowchart illustrating the sub-steps included in step S130 shown in FIG. 2;

fig. 5 is a functional block diagram of a new energy vehicle charging management device according to an embodiment of the present application;

fig. 6 is a schematic block diagram of a server for executing the above-mentioned new energy vehicle charging management method according to an embodiment of the present application.

Detailed Description

In the description of the present application, unless otherwise indicated, "at least " includes or more, "a plurality" means two or more, "e.g., at least of A, B and C includes, independently, a, independently, B, simultaneously, a and C, simultaneously, B and C, and simultaneously, A, B and C.

Fig. 1 is a schematic diagram of an interaction scenario of a new energy vehicle charging management method provided in embodiments of the present application, for example, the interaction scenario may be an online service platform for a new energy vehicle charging management service, the interaction scenario may include a server 100, a charging pile 200, and a user terminal 300, and a processor that performs instruction operations may be included in the server 100.

In embodiments, the server 100 may be a single server or server groups, which may be centralized or distributed (e.g., the server 100 may be a distributed system), in embodiments, the server 100 may be local or remote to the terminals, for example, the server 100 may access information stored in the charging post 200, the user terminal 300, and the database, or any combination thereof, via a network as another example, the server 100 may be directly connected to at least of the charging post 200, the user terminal 300, and the database to access information and/or data stored therein, in embodiments, the server 100 may be implemented on a cloud platform, which may include, by way of example only, a private cloud, a public cloud, a hybrid cloud, a community cloud (munity cloud), a distributed cloud, a cross-cloud (inter-cloud), a multi-cloud, etc., or any combination thereof, in embodiments, the charging post 100 may have multiple electronic devices 200 or as shown in this application.

For example, in a shared printing service, the Processor may include or more Processing cores (e.g., a single core Processor (S) or a multi-core Processor (S)), the Processor may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), an Application Specific Instruction Set Processor (ASIP), a Graphics Processing Unit (GPU), a physical Processing Unit (Physics Processing Unit, PPU), a Digital Signal Processor (Signal Processor, FPGA), a Field Programmable Logic Array (PLD), a Field Programmable Logic Unit (FPGA), a Field Programmable Logic Unit (DSP), or the like, as just an example.

For example, in , the Network may be any type of wired or Wireless Network, or any combination thereof, for example, Network 130 may include a wired Network, a Wireless Network, a fiber optic Network, a telecommunications Network, an intranet, the Internet, a Local Area Network (LAN), a Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (Metropolis Area Network, MAN), Area Network (WAN), a Public Switched Telephone Network (PSTN), a Near Field Network (NFC), a Bluetooth Network, a ZigBee Network, etc. in , embodiments, or more components in an interaction scenario may send information and/or data to other components, such as server 100, the charging post 200, or a ZigBee Network, which may include any type of wired or Wireless Network, or any combination thereof, for example, , or more Wireless access points, such as a Wireless Network, a Bluetooth Network, a Wireless Network, a Wireless Network, a.

In some embodiments , the user terminal 300 may include, but is not limited to, a mobile device, a tablet computer, a laptop computer, or any combination of two or more thereof in some embodiments , the mobile device may include, but is not limited to, a smart home device, a wearable device, a smart mobile device, a virtual reality device, or an augmented reality device, etc., or any combination thereof in some embodiments , the smart home device may include, but is not limited to, a smart lighting device, a control device for a smart appliance device, a smart monitoring device, a smart television, a smart camera, or a walkie-talkie, etc., or any combination thereof in some embodiments , the wearable device may include, but is not limited to, a smart bracelet, a smart lace, a smart glass, a smart helmet, a smart watch, a smart garment, a smart backpack, a smart accessory, etc., or any combination thereof in some embodiments , the smart mobile device may include, but is not limited to, a smart phone, a Personal Digital Assistant (POS), a gaming device, a navigation device, or a point of sale (POS) device, or any combination thereof in some embodiments , the user terminal may include, a virtual reality device, or a virtual reality device, such as, a virtual reality device, or an augmented reality device, or a virtual reality device, such as, or a virtual reality device, or a virtual reality.

In embodiments, the database may store data and/or instructions obtained from charging post 200 and/or user terminal 300. in embodiments, the database may store data and/or instructions of the exemplary methods described herein. in embodiments, the database may include mass storage Memory, removable Memory, volatile Read-write Memory, ROM, or any combination thereof.by way of example, the mass storage Memory may include a magnetic disk, an optical disk, a solid state drive, or the like, the removable Memory may include a flash Memory drive, a floppy disk, a Memory card, a zip disk, a tape, or the like, the volatile Read-write Memory may include Random Access Memory (RAM), Dynamic RAM (Dynamic RAM), Double data Rate Synchronous Dynamic RAM (Dynamic RAM-Random Access Memory, DRAM), Double data Rate Synchronous Dynamic RAM (Random Access-RAM-Random Access RAM, RAM), or a hybrid RAM (RAM-RAM, RAM-RAM, or a hybrid RAM, such as a Read-write-Only-ROM, Read-write Memory, RAM.

In embodiments, a database may be connected to a network to communicate with or more components in an interaction scenario (e.g., server 100, charging post 200, user terminal 300, etc.) or more components in an interaction scenario may access data or instructions stored in the database via the network in embodiments the database may be directly connected to or more components in an interaction scenario (e.g., server 100, charging post 200, user terminal 300, etc.), or in embodiments the database may also be part of server 100.

Charging pile 200 can be arranged in charging management areas of various new energy vehicles in different installation forms to provide charging service for various new energy vehicles.

In order to solve the technical problems mentioned in the foregoing background, fig. 2 is a flowchart illustrating a new energy vehicle charging management method according to an embodiment of the present application, where the new energy vehicle charging management method provided in this embodiment may be executed by the server 100 shown in fig. 1, and the new energy vehicle charging management method is described in detail below.

In step S110, for each th vehicle charging information in the charging management information obtained from the charging pile 200 of the target charging management area, feature extraction is performed on the th vehicle charging information.

Step S120, determining a feature comparison result between the th vehicle charging information and other second vehicle charging information according to the extracted feature of the th vehicle charging information and the feature of the other second vehicle charging information of the target new energy vehicle corresponding to the th vehicle charging information.

Step S130, determining a charging adjustment parameter of the charging pile 200 in the target charging management area according to the feature comparison result.

Step S140, adjusting the charging configuration parameters of the charging piles 200 in the target charging management area according to the charging adjustment parameters of the charging piles 200 in the target charging management area.

Step S150, according to the adjusted charging configuration parameters of the charging pile 200 in the target charging management area, sending corresponding charging adjustment information to the user terminal 300 corresponding to the target new energy vehicle for which the charging pile 200 in the target charging management area has completed charging settlement within a preset time period from the current time point.

In this embodiment, for step S110, each th vehicle charging information may refer to vehicle charging information obtained by charging the charging pile 200 of the target charging management area for a single new energy vehicle for complete cycles, where the complete cycle may refer to a whole charging cycle, or may refer to a cycle from start of charging to end of charging, or may refer to a cycle during charging of a preset electric quantity, and this embodiment is not limited specifically.

For step S150, the preset time period from the current time point may be set individually according to actual product conditions, and this embodiment also does not specifically limit this.

In order to solve the technical problems mentioned in the foregoing background, in the present embodiment, in consideration of characteristics of other second vehicle charging information of the target new energy vehicle corresponding to each th vehicle charging information in the charging management information obtained from the charging pile 200 of the target charging management area, according to a result of comparing characteristics between the th vehicle charging information and the other second vehicle charging information, a charging configuration parameter of the charging pile 200 of the target charging management area is accurately adjusted for the specific charging area and the new energy vehicle, so that a charging accumulated error for the new energy vehicle is greatly reduced, and a charging management effect is improved.

In some possible designs, for step S120, in order to improve the accuracy of the feature alignment, a feature confidence level of different charging record sequences may be further considered .

And a substep S121, calculating, for each charging record sequence in the th vehicle charging information, a characteristic gap between the charging record sequence and a charging record sequence corresponding to the other second vehicle charging information.

In this embodiment, the charging record sequence may refer to record information of the charging record per unit time during a single charging capacity period (e.g., 1%).

And a substep S122, determining the feature comparison result of the th vehicle charging information and other second vehicle charging information on the charging record sequence according to the feature difference and the feature confidence degree configured in the th vehicle charging information of the charging record sequence.

And a substep S123 of determining a feature comparison result between the th vehicle charging information and other second vehicle charging information according to the feature comparison result of the th vehicle charging information and other second vehicle charging information on each charging record sequence.

Therefore, in the present embodiment, the feature confidence of different charging record sequences is considered in step , and feature comparison is performed based on the feature confidence, so that the accuracy of feature comparison can be improved.

In some possible designs, the sub-step S122 may be implemented as follows:

firstly, according to the control intensity and the cycle characteristics of the charging control characteristics in the characteristic difference, the charging position characteristic information of the charging position points and the charging time characteristic information of the charging time points in the characteristic difference are determined.

Then, according to the charging position characteristic information, determining a charging position point in a preset charging curve graph corresponding to the charging position point in the characteristic gap, and according to the charging time characteristic information, determining a charging time point in the preset charging curve graph corresponding to the charging time point in the characteristic gap.

And then, fitting the charging position points and the charging time points in the preset charging curve graph to determine a charging comparison curve corresponding to the charging record sequence, and dividing the charging comparison curve into a plurality of periodic curves and a plurality of control curves.

And meanwhile, for any control curves, equally dividing the direction of the control curve representing the charging position point in the charging comparison curve to obtain a plurality of sub-control curves, and determining the control characteristics of the plurality of sub-control curves, wherein the control characteristics are used for representing whether the sub-control curves exist at the point.

On the basis, the cycle characteristics of the plurality of sub-cycle curves and the control characteristics of the plurality of sub-control curves can be fitted to corresponding degrees according to the characteristic confidence coefficients configured in the th vehicle charging information of the charging record sequence, so as to obtain the characteristic comparison result of the th vehicle charging information and other second vehicle charging information on the charging record sequence, wherein the characteristic confidence coefficients comprise characteristic confidence coefficient change information for each cycle segment and each control segment.

By adopting the above exemplary design, the control strength and the cycle characteristic of the charging control characteristic in the characteristic gap are converted into a charging comparison coordinate system of the system and are divided according to the time dimension and the control dimension on the cycle respectively, and then the characteristic confidence coefficient configured in the vehicle charging information by combining the charging recording sequence is combined, so that the influence on the characteristic comparison process caused by the deterioration of the charging recording effect due to the poor controllability and the poor anti-interference performance of the charging process under the condition of the poor charging environment can be reduced, and the influence on an uncontrollable environment scene can be reduced.

In some possible designs, for step S130, in order to fully consider the actual influence between the obtained feature comparison result and the new energy vehicle corresponding to the charging pile 200 in the current target charging management area and improve the accuracy of the charging adjustment parameter, please refer to fig. 4, step S130 may be specifically implemented by the following sub-steps:

in the substep S131, th charging peak characteristic information of the new energy vehicle corresponding to the charging pile 200 in the current target charging management area is obtained, and the th charging peak characteristic information is obtained by performing pre-analysis on the charging management information of the new energy vehicle.

And a substep S132 of adding a th preset charging adjustment parameter to a preset charging adjustment parameter set according to a matching relationship between the feature comparison result and th charging peak feature information of the new energy vehicle.

And a substep S133, based on second charging peak characteristic information of the target new energy vehicle corresponding to the current charging information of the th vehicle, adding a second preset charging adjustment parameter to the preset charging adjustment parameter set according to a matching relationship between the characteristic comparison result and the second charging peak characteristic information of the target new energy vehicle.

And a substep S134, determining adjustment characteristic information of the charging pile 200 in the current target charging management area according to the adjustment residual error and the adjustment cost value corresponding to the -th preset charging adjustment parameter and the second preset charging adjustment parameter.

And a substep S135 of generating a charging adjustment parameter curve of the charging pile 200 in the target charging management area according to the adjustment characteristic information.

In this embodiment, in order to fully consider the actual influence between the obtained feature comparison result and the new energy vehicle corresponding to the charging pile 200 in the current target charging management area, the corresponding th preset charging adjustment parameter and second preset charging adjustment parameter are determined by combining the feature comparison result and the charging peak value feature information of different new energy vehicles in the target charging management area, so that the adjustment feature information of the charging pile 200 in the current target charging management area is determined by combining the th preset charging adjustment parameter and the second preset charging adjustment parameter, and a charging adjustment parameter curve is determined by further , thereby improving the accuracy of the charging adjustment parameter.

In some possible designs of , the sub-step S134 may be specifically implemented as follows:

firstly, in a set parameter range, calculating an adjustment residual error and an adjustment cost value corresponding to the th preset charging adjustment parameter and the second preset charging adjustment parameter to obtain a target adjustment value corresponding to a minimum adjustment cost value of each adjustment dimension in the adjustment residual error and the adjustment cost value, wherein the target adjustment values are set adjustment values in the set parameter range.

And then, processing between at least two set adjustment values related to the target adjustment value according to the adjustment residual error, calculating an adjustment cost value corresponding to each set adjustment value, and taking the set adjustment value corresponding to the minimum adjustment cost value in the adjustment cost values corresponding to all the set adjustment values as an adjustment floating value of each adjustment dimension.

Then, the floating feature formed by the adjustment floating values of all the adjustment dimensions is used as the floating feature of the adjustment residual error and the adjustment cost value to obtain a floating feature corresponding to the th preset charging adjustment parameter and a second floating feature corresponding to the second preset charging adjustment parameter.

Then, a feature matching degree between the th floating feature and the second floating feature image is calculated.

Then, the feature matching degree is compared with a preset threshold of a current time node corresponding to the charging pile 200 in the target charging management area in a preset threshold list.

And then, fusing the th floating feature and the second floating feature according to the comparison result to obtain a fused floating feature, wherein when the comparison result shows that the feature matching degree is greater than the preset threshold, the th floating feature is taken as a basic feature to be fused with the second floating feature, and when the comparison result shows that the feature matching degree is not greater than the preset threshold, the second floating feature is taken as the basic feature to be fused with the th floating feature.

And then, aligning the fused floating features to a preset feature template, wherein the preset feature template is used for carrying out feature division on the fused floating features.

Then, the fusion floating feature is segmented by using the preset feature template to form a plurality of fusion floating features to be processed, feature identification positions of the fusion floating features are obtained, a feature mapping table is searched, information of the features corresponding to the feature identification positions is extracted, the fusion floating features are processed by using the extracted information of the features, the processed fusion floating features are combined to obtain -th mapping floating features, wherein the feature mapping table is used for representing the mapping relation among the features, the feature mapping table comprises the feature identification positions of each feature in the preset feature template, the feature identification positions correspond to the feature identification positions, and the mapped information of the features is stored in the feature mapping table.

And then, performing feature splitting on the th mapping floating feature according to each adjustment dimension to obtain a plurality of second mapping floating features.

Then, the th mapping floating feature and the second mapping floating feature are synthesized, and a synthesized mapping floating feature of the th mapping floating feature and the second mapping floating feature is obtained.

And then, obtaining conversion characteristics obtained by adopting standard charging protocol conversion from at least floating reference characteristic points in the composite mapping floating characteristics, and determining an adjustment characteristic character string corresponding to each conversion characteristic.

On this basis, the adjustment feature character strings corresponding to the conversion features are converted into a character string set including a plurality of adjustment elements, so that the character string set including the plurality of adjustment elements is used as the adjustment feature information of the charging pile 200 in the current target charging management area.

Therefore, by adopting the above design, in the process of determining the characteristic information adjustment of the charging pile 200 in the current target charging management area, because the internal parameters of the charging pile 200 are very complex, by adopting the above design, the deep information of multiple layers can be further considered in step , and the accuracy of the characteristic information adjustment of the charging pile 200 is improved.

In some possible designs of , the sub-step S135 may be implemented as follows:

firstly, traversing the adjustment features of each adjustment feature point in the adjustment feature information, and generating an effective adjustment parameter curve under the condition that at least positions of the adjustment source parameters and the adjustment target parameters of the adjustment features of the adjustment feature points include feature offset, wherein the adjustment source parameters and the adjustment target parameters of the effective adjustment parameter curve are both in corresponding relation.

And then reading the effective adjusting parameter curves one by one, and screening out adjusting characteristic points corresponding to the adjusting source parameters and the adjusting destination parameters of the currently read effective adjusting parameter curves from the adjusting characteristic information.

And then, searching matched adjustment characteristic points in the screened adjustment characteristic points respectively corresponding to the adjustment source parameters and the adjustment target parameters of the currently read effective adjustment parameter curve, obtaining an adjustment characteristic point set of the adjustment source parameters and the adjustment target parameters of the continuous effective adjustment parameter curve according to the matched adjustment characteristic points, and rejecting abnormal adjustment characteristic points unmatched with the adjustment source parameters and the adjustment target parameters.

On this basis, after all the effective adjustment parameter curves are traversed, the adjustment feature points of each effective adjustment parameter curve from which the abnormal adjustment feature points are removed are distributed into the effective adjustment parameter curves of each adjustment feature point, so as to generate the charging adjustment parameter curve of the charging pile 200 in the target charging management area.

Thus, by adopting the above exemplary design, an effective adjustment parameter curve is generated by processing the adjustment features of the adjustment feature points in the adjustment feature information, -step analysis is performed on the basis of the effective adjustment parameter curve, and a concept of eliminating abnormal adjustment feature points which are not matched with the adjustment source parameters and the adjustment target parameters is introduced, so that a charging adjustment parameter curve with higher accuracy can be obtained.

In , in some possible designs, step may be implemented with respect to step S150, specifically by:

and taking the adjusted charging configuration parameters of the charging piles 200 in the target charging management area as input data, and extracting charging configuration trend information of the adjusted charging configuration parameters of the charging piles 200 in the target charging management area according to each set keyword.

And constructing a charging adjustment information prompt model of the charging configuration trend information, wherein the charging adjustment information prompt model comprises an th charging adjustment prompt model and a second charging adjustment prompt model which is connected with two th charging adjustment prompt models.

Copying th charging adjustment prompt models in the charging adjustment information prompt models into more than two third charging adjustment prompt models, and making any of the third charging adjustment prompt models have an association relationship with a plurality of second associated charging adjustment prompt models, and a plurality of the second associated charging adjustment prompt models have the same association relationship with the adjacent third charging adjustment prompt models, the second associated charging adjustment prompt models have an association relationship with at least third charging adjustment prompt models, and the second associated charging adjustment prompt models are the second charging adjustment prompt models having an association relationship with the th charging adjustment prompt model.

And replacing the th charging adjustment prompt model in the corresponding charging adjustment information prompt model by the third charging adjustment prompt model to obtain a target charging adjustment information prompt model after replacing the th charging adjustment prompt model.

And generating and sending corresponding charging adjustment information of the user terminal 300 corresponding to the target new energy automobile for which the charging settlement of the charging pile 200 in the target charging management area is completed within a preset time period from the current time point according to the target charging adjustment information prompt model.

Thus, with the above design, in this embodiment, the association relationship between the deep semantic models is considered to output the charging adjustment information corresponding to the user terminal 300 corresponding to the target new energy vehicle for which the charging pile 200 in the target charging management area has completed the charging settlement, so that the analysis efficiency and accuracy of the charging adjustment information can be effectively improved.

In some possible designs, in generating and sending charging adjustment information corresponding to a user terminal 300 corresponding to a target new energy vehicle for which charging settlement has been completed by the charging pile 200 in the target charging management area within a preset time period from the current time point according to the target charging adjustment information prompt model, in order to accurately verify the accuracy and reliability of each charging adjustment information in the process of generating the charging adjustment information, this embodiment may specifically output a plurality of pieces of pending charging adjustment information according to the target charging adjustment information prompt model, acquire a reliability value of each piece of pending charging adjustment information in the target charging adjustment information prompt model, and then acquire a reliability interval set of each piece of pending charging adjustment information from a preset interval information table according to the reliability value of each piece of pending charging adjustment information.

Next, , according to the adjustment directory range section of the pending charging adjustment information associated with each pending charging adjustment information, selecting the trusted section information of the pending charging adjustment information from the trusted section set corresponding to the pending charging adjustment information.

Then, steps can be carried out, according to the adjustment catalog range interval of each piece of adjustment information to be charged, the lower limit value of the credible interval of each piece of adjustment information to be charged is obtained through calculation, then according to the lower limit value of the credible interval of each piece of adjustment information to be charged, a preset database is inquired to obtain a plurality of adjustment information streams of the adjustment information to be charged, then, the adjustment content row with the time node in the adjustment information stream of each piece of adjustment information to be charged being nearest to the current time node and the content row and the second content row with the adjustment content row as the target content row are determined, and the time sequence of the content row is smaller than the second content row.

Then, an adjusted content line meeting the th condition in the th content lines can be determined, and the th weight corresponding to the th content line is determined according to the average value of the difference between the adjusted confidence of the adjusted content line meeting the th condition and the preset threshold, wherein the adjusted confidence of the adjusted content line meeting the th condition is smaller than that of the adjusted content line meeting the preset threshold.

Then, the adjusted values of the th adjusted content line and the feedback values corresponding to the th content line may be weighted and averaged according to the th weight corresponding to the th content line to obtain the pre-adjusted values of the th adjusted content line, where the feedback values corresponding to the th content line are the average values of the adjusted values of the th adjusted content line in the th content line.

Then, the adjusted value of the th adjusted content line and the pre-adjusted value of the th content line may be weighted and averaged according to the th weight corresponding to the th content line to obtain the th analog adjusted value of the th adjusted content line, and the th adjusted content line may be analog-suppressed according to the adjusted content line in the second content line to obtain the second analog adjusted value after analog suppression.

Then, according to the second weight, the th analog adjustment value and the second analog adjustment value may be weighted and averaged, and it is determined whether the weighted and averaged analog adjustment value is greater than the set analog adjustment value, and if the weighted and averaged analog adjustment value is greater than the set analog adjustment value, the to-be-determined charging adjustment information is determined as the charging adjustment information corresponding to the user terminal 300 corresponding to the target new energy vehicle for which the charging pile 200 in the target charging management area has completed the charging settlement within the preset time period from the current time point.

Therefore, the accuracy of each piece of charging adjustment information can be accurately verified in the process of generating the charging adjustment information, the reliability of the charging adjustment information is further improved , and the to-be-determined charging adjustment information can be subjected to mixed analysis by determining different weights, so that the logic redundancy is reduced.

In addition, in some possible designs, the target charging adjustment information integrating the charging adjustment information and the charging adjustment tracking information may be generated according to the charging adjustment information and by combining with subsequent charging adjustment tracking information, and specifically may be implemented as follows:

the method comprises the steps of selecting a th random function sequence of charging adjustment information and a second random function sequence of the charging adjustment tracking information from a prestored random function sequence list according to the charging adjustment information and the charging adjustment tracking information, calling a random function, and determining a th random function value of each adjustment dimension contained in the th random function sequence and a second random function value of each adjustment dimension contained in the second random function sequence through the random function, then determining a th adjustment condition of the charging adjustment information and a second adjustment condition of the charging adjustment tracking information by comparing a th random function value of each adjustment dimension contained in the th random function sequence with a second random function value of each adjustment dimension contained in the second random function sequence, wherein the random function sequence list is preset and stored, and each random function sequences in the random function sequence list can be modified according to actual conditions.

For example, the charging adjustment information and the charging adjustment tracking information may be fused according to the confidence of each adjustment dimension in the charging adjustment information to obtain initial fused adjustment information, the initial fused adjustment information may be decoded to obtain initial reconstructed fused adjustment information, the charging adjustment information may be at least partially processed according to the difference between the charging adjustment information and the initial reconstructed fused adjustment information to obtain th updated charging adjustment information, the charging adjustment information of the target new energy vehicle of the other charging management area associated with the charging adjustment information may be obtained, the charging adjustment information of the target new energy vehicle of the other charging management area may be at least partially processed according to the difference between the charging adjustment information of the target new energy vehicle of the other charging management area and the initial reconstructed fused adjustment information to obtain second updated charging adjustment information, the target charging adjustment information may be generated according to the initial fused adjustment information, the th updated charging adjustment information, and the second updated charging adjustment information.

Fig. 5 is a schematic diagram of functional modules of a new energy vehicle charging management apparatus 400 according to an embodiment of the present application, where the new energy vehicle charging management apparatus 400 may be divided into the functional modules according to the method embodiment, for example, each functional module may be divided according to each function, or two or more functions may be integrated into processing modules.

The feature extraction module 410 is configured to perform feature extraction on the th vehicle charging information of th vehicle charging information in the charging management information acquired from the charging pile 200 of the target charging management area.

An determining module 420, configured to determine a feature comparison result between the th vehicle charging information and other second vehicle charging information according to the extracted features of the th vehicle charging information and features of other second vehicle charging information of the target new energy vehicle corresponding to the th vehicle charging information.

A second determining module 430, configured to determine a charging adjustment parameter of the charging pile in the target charging management area according to the feature comparison result.

The adjusting module 440 is configured to adjust the charging configuration parameters of the charging piles 200 in the target charging management area according to the charging adjustment parameters of the charging piles in the target charging management area.

The sending module 450 is configured to send corresponding charging adjustment information to a user terminal corresponding to a target new energy vehicle for which charging settlement has been completed by the charging pile 200 in the target charging management area within a preset time period from the current time point according to the adjusted charging configuration parameter of the charging pile in the target charging management area.

Fig. 6 is a schematic structural diagram of a server 100 for performing the above-described new energy vehicle charging management method according to an embodiment of the present disclosure, and as shown in fig. 6, the server 100 may include a network interface 110, a machine-readable storage medium 120, a processor 130, and a bus 140, where the number of the processors 130 may be or more, in fig. 6, of the processors 130 are taken as an example, the network interface 110, the machine-readable storage medium 120, and the processor 130 may be connected by the bus 140 or in another manner, and in fig. 6, the network interface 110, the machine-readable storage medium 120, and the processor 130 are connected by the bus 140 as an example.

The machine-readable storage medium 120 is used as computer-readable storage media, and can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the new energy vehicle charging management method in this embodiment (for example, the feature extraction module 410, the determination module 420, the second determination module 430, the adjustment module 440, and the sending module 450 in the new energy vehicle charging management apparatus 400 shown in fig. 5), the processor 130 executes various functional applications and data processing of the terminal device by detecting the software programs, instructions, and modules stored in the machine-readable storage medium 120, that is, implementing the new energy vehicle charging management method, which is not described herein again.

The machine-readable storage medium 120 may mainly include a program storage area that may store an operating system, application programs required for at least functions, and a data storage area that may store data created according to the use of the terminal, etc. furthermore, the machine-readable storage medium 120 may be a volatile Memory or a non-volatile Memory, or may include both volatile and non-volatile memories, wherein the non-volatile Memory may be a Read-only Memory (ROM), a Programmable Read-only Memory (PROM), an Erasable Programmable Read-only Memory (erase PROM, EPROM), an Electrically Erasable Programmable Read-only Memory (EEPROM), or a flash Memory the volatile Memory may be a Random Access Memory (Random Access Memory, RAM) serving as an external cache.

The processor 130 may be a type Integrated Circuit chip having signal processing capabilities, and in implementation, the steps of the method embodiments described above may be implemented by instructions in the form of Integrated logic or software in the processor 130. the processor 130 may be a general purpose processor, a digital signal processor (DigitaSignalisDSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Array (FPGA) or other Programmable logic device, discrete or transistor logic, discrete hardware components.

The server 100 may perform information interaction with other devices (e.g., the charging post 200 and the user terminal 300 shown in fig. 1) through the communication interface 110. Communication interface 110 may be a circuit, bus, transceiver, or any other device that may be used to exchange information. Processor 130 may send and receive information using communication interface 110.

The computer instructions may be stored in a computer readable storage medium, or transmitted from a computer readable storage medium to another computer readable storage media, for example, website sites, computers, servers, or data centers via wired (e.g., coaxial cable, optical fiber, Digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.) means to another website site, computer, server, or data center via a solid state storage medium, such as a solid state storage medium, a magnetic disk, a magnetic storage medium, such as a floppy disk, a solid state storage medium, a magnetic storage medium, a data center, etc. (optical disk, digital subscriber line (DVD), etc.), or a solid state storage medium, such as a solid state storage medium, a floppy disk, a magnetic storage medium, a hard disk, a magnetic storage medium, etc.).

It is to be understood that each flow and/or block in the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions which can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flow diagram flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the embodiments of the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to encompass such modifications and variations.

Claims

The charging management method of new energy vehicles is characterized by being applied to a server, wherein the server is in communication connection with charging piles in charging management areas of all the new energy vehicles respectively and is in communication connection with a user terminal, and the method comprises the following steps:

for each th vehicle charging information in the charging management information acquired from the charging pile of the target charging management area, performing feature extraction on the th vehicle charging information;

determining a feature comparison result between the th vehicle charging information and other second vehicle charging information according to the extracted th vehicle charging information features and other second vehicle charging information features of the target new energy vehicle corresponding to the th vehicle charging information;

determining charging adjustment parameters of charging piles in the target charging management area according to the characteristic comparison result;

adjusting the charging configuration parameters of the charging piles in the target charging management area according to the charging adjustment parameters of the charging piles in the target charging management area;

and sending corresponding charging adjustment information to a user terminal corresponding to the target new energy automobile of which the charging pile in the target charging management area completes charging settlement within a preset time period from the current time point according to the adjusted charging configuration parameters of the charging pile in the target charging management area.
2. The method for charging management of a new energy vehicle according to claim 1, wherein the step of determining a feature comparison result between the th vehicle charging information and other second vehicle charging information according to the extracted features of the th vehicle charging information and the features of the other second vehicle charging information of the target new energy vehicle corresponding to the th vehicle charging information comprises:

calculating the characteristic gap between each charging record sequence in the th vehicle charging information and the charging record sequence corresponding to the other second vehicle charging information;

determining feature comparison results of the th vehicle charging information and other second vehicle charging information on the charging record sequence according to the feature difference and feature confidence degrees configured in the th vehicle charging information by the charging record sequence;

and determining characteristic comparison results between the th vehicle charging information and other second vehicle charging information according to the characteristic comparison results of the th vehicle charging information and other second vehicle charging information on each charging record sequence.
3. The method for charging management of a new energy vehicle according to claim 2, wherein the step of determining the feature comparison result of the th vehicle charging information and the other second vehicle charging information on the charging record sequence according to the feature gap and the feature confidence level configured in the th vehicle charging information of the charging record sequence comprises:

determining charging position characteristic information of the charging position points and charging time characteristic information of the charging time points in the characteristic difference according to the control strength and the cycle characteristic of the charging control characteristic in the characteristic difference;

determining a charging position point corresponding to the charging position point in the characteristic gap in a preset charging curve graph according to the charging position characteristic information, and determining a charging time point corresponding to the charging time point in the characteristic gap in the preset charging curve graph according to the charging time characteristic information;

fitting the charging position points and the charging time points in the preset charging curve graph to determine a charging comparison curve corresponding to the charging record sequence;

dividing the charge comparison curve into a plurality of period curves and a plurality of control curves;

for any periodic curves, dividing the direction of the periodic curve representing the charging position point in the charging comparison curve at equal intervals to obtain a plurality of sub-periodic curves, and determining the periodic characteristics of the sub-periodic curves, wherein the periodic characteristics are used for representing whether the sub-periodic curves exist at the point or not;

for any control curves, dividing the control curves into a plurality of sub-control curves at equal intervals in the direction of representing the charging position point in the charging comparison curve, and determining the control characteristics of the plurality of sub-control curves, wherein the control characteristics are used for representing whether the sub-control curves exist at the point or not;

and fitting the cycle characteristics of the plurality of sub-cycle curves and the control characteristics of the plurality of sub-control curves according to the characteristic confidence coefficient configured in the th vehicle charging information of the charging record sequence to the corresponding degree to obtain a characteristic comparison result of the th vehicle charging information and other second vehicle charging information on the charging record sequence, wherein the characteristic confidence coefficient comprises characteristic confidence coefficient change information for each cycle segment and each control segment.
4. The new energy vehicle charging management method according to any of claims 1-3, wherein the step of determining the charging adjustment parameter of the charging pile in the target charging management area according to the feature comparison result includes:

th charging peak value characteristic information of the new energy automobile corresponding to the charging pile of the current target charging management area is obtained, wherein the th charging peak value characteristic information is obtained by performing pre-analysis on the charging management information of the new energy automobile;

adding th preset charging adjustment parameters into a preset charging adjustment parameter set according to the matching relationship between the characteristic comparison result and th charging peak value characteristic information of the new energy automobile;

adding a second preset charging adjustment parameter to the preset charging adjustment parameter set according to a matching relationship between the characteristic comparison result and second charging peak characteristic information of the target new energy automobile based on second charging peak characteristic information of the target new energy automobile corresponding to the current -th vehicle charging information;

determining adjustment characteristic information of the charging pile in the current target charging management area according to the th preset charging adjustment parameter and the adjustment residual error and the adjustment cost value corresponding to the second preset charging adjustment parameter;

and generating a charging adjustment parameter curve of the charging pile in the target charging management area according to the adjustment characteristic information.
5. The method according to claim 4, wherein the step of determining the adjustment characteristic information of the charging pile in the current target charging management area according to the adjustment residual error and the adjustment cost value corresponding to the th preset charging adjustment parameter and the second preset charging adjustment parameter comprises:

calculating an adjustment residual error and an adjustment cost value corresponding to the th preset charging adjustment parameter and the second preset charging adjustment parameter within a set parameter range to obtain a target adjustment value corresponding to the minimum adjustment cost value of each adjustment dimension in the adjustment residual error and the adjustment cost values, wherein the target adjustment values are set adjustment values within the set parameter range;

processing between at least two set adjustment values associated with the target adjustment value according to the adjustment residual error, calculating an adjustment cost value corresponding to each set adjustment value, and taking the set adjustment value corresponding to the smallest adjustment cost value in the adjustment cost values corresponding to all the set adjustment values as an adjustment floating value of each adjustment dimension;

taking the floating feature formed by the adjustment floating values of all the adjustment dimensions as the floating feature of the adjustment residual error and the adjustment cost value to obtain a th floating feature corresponding to the th preset charging adjustment parameter and a second floating feature corresponding to the second preset charging adjustment parameter;

calculating a feature matching degree between the th floating feature and the second floating feature image;

comparing the feature matching degree with a preset threshold value of a current time node corresponding to a charging pile in the target charging management area in a preset threshold value list;

fusing the th floating feature and the second floating feature according to the comparison result to obtain a fused floating feature, wherein when the comparison result shows that the feature matching degree is greater than the preset threshold, the th floating feature is taken as a basic feature to be fused with the second floating feature, and when the comparison result shows that the feature matching degree is not greater than the preset threshold, the second floating feature is taken as the basic feature to be fused with the th floating feature;

aligning the fusion floating features to a preset feature template, wherein the preset feature template is used for carrying out feature division on the fusion floating features;

dividing the fusion floating feature by using the preset feature template to form a plurality of fusion floating features to be processed, acquiring feature identification positions of the fusion floating features, searching a feature mapping table, extracting information of the features corresponding to the feature identification positions, processing the fusion floating features by using the extracted information of the features, and combining the fusion floating features after processing to obtain -th mapping floating features, wherein the feature mapping table is used for representing the mapping relation among the features, the feature mapping table comprises the feature identification positions of each feature in the preset feature template, corresponds to the feature identification positions, and the feature mapping table stores the information of the mapped features;

performing feature splitting on the th mapping floating feature according to each adjustment dimension to obtain a plurality of second mapping floating features;

synthesizing the th mapping floating feature and the second mapping floating feature to obtain a synthesized mapping floating feature of the th mapping floating feature and the second mapping floating feature;

obtaining conversion characteristics obtained by adopting standard charging protocol conversion from at least floating reference characteristic points in the synthetic mapping floating characteristics, and determining an adjustment characteristic character string corresponding to each conversion characteristic;

and converting the adjustment characteristic character strings corresponding to the conversion characteristics into a character string set containing a plurality of adjustment elements, so that the character string set containing the plurality of adjustment elements is used as the adjustment characteristic information of the charging pile in the current target charging management area.
6. The new energy vehicle charging management method according to claim 1, wherein the step of generating a charging adjustment parameter curve of the charging pile in the target charging management area according to the adjustment characteristic information includes:

traversing the adjustment features of each adjustment feature point in the adjustment feature information, and generating an effective adjustment parameter curve under the condition that at least positions of the adjustment source parameters and the adjustment target parameters of the adjustment features of the adjustment feature points include feature offset, wherein the adjustment source parameters and the adjustment target parameters of the effective adjustment parameter curve are both in corresponding relation;

reading the effective adjustment parameter curves one by one, and screening out adjustment characteristic points corresponding to the adjustment source parameters and the adjustment target parameters of the currently read effective adjustment parameter curves from the adjustment characteristic information;

searching matched adjusting characteristic points in the screened adjusting characteristic points respectively corresponding to the adjusting source parameters and the adjusting target parameters of the currently read effective adjusting parameter curve, obtaining an adjusting source parameter and an adjusting characteristic point set of the adjusting target parameters of the continuous effective adjusting parameter curve according to the matched adjusting characteristic points, and eliminating abnormal adjusting characteristic points unmatched with the adjusting source parameters and the adjusting target parameters;

after traversing all the effective adjustment parameter curves, distributing the adjustment characteristic points of each effective adjustment parameter curve after eliminating the abnormal adjustment characteristic points to the effective adjustment parameter curves of each adjustment characteristic point to generate the charging adjustment parameter curve of the charging pile in the target charging management area.
7. The new energy vehicle charging management method according to claim 1, wherein the step of sending corresponding charging adjustment information to the user terminal corresponding to the target new energy vehicle for which charging settlement of the charging pile in the target charging management area is completed within a preset time period from the current time point according to the adjusted charging configuration parameter of the charging pile in the target charging management area comprises:

taking the adjusted charging configuration parameters of the charging piles in the target charging management area as input data, and extracting charging configuration trend information of the adjusted charging configuration parameters of the charging piles in the target charging management area according to set keywords;

constructing a charging adjustment information prompt model of the charging configuration trend information, wherein the charging adjustment information prompt model comprises an th charging adjustment prompt model and a second charging adjustment prompt model connecting two th charging adjustment prompt models;

duplicating th charging adjustment prompt models in the charging adjustment information prompt models into more than two third charging adjustment prompt models, and enabling any of the third charging adjustment prompt models to have an association relationship with a plurality of second associated charging adjustment prompt models, and enabling a plurality of the second associated charging adjustment prompt models to have the same association relationship with the adjacent third charging adjustment prompt models in the plurality of second associated charging adjustment prompt models, wherein the second associated charging adjustment prompt models have an association relationship with at least third charging adjustment prompt models, and the second associated charging adjustment prompt models are the second charging adjustment prompt models having an association relationship with the th charging adjustment prompt model;

replacing the th charging adjustment prompt model in the corresponding charging adjustment information prompt model with the third charging adjustment prompt model to obtain a target charging adjustment information prompt model after replacing the th charging adjustment prompt model;

and generating and sending corresponding charging adjustment information of a user terminal corresponding to the target new energy automobile for which charging settlement of the charging pile in the target charging management area is completed within a preset time period from the current time point according to the target charging adjustment information prompt model.
8, kinds of new energy automobile charge management device, characterized in that, be applied to the server, the server respectively with each new energy automobile charge management regional fill electric pile communication connection to with user terminal communication connection, the device includes:

the characteristic extraction module is used for extracting the characteristic of each th vehicle charging information in the charging management information acquired from the charging pile of the target charging management area, wherein the th vehicle charging information is obtained from the charging pile of the target charging management area;

an determining module, configured to determine a feature comparison result between the th vehicle charging information and other second vehicle charging information according to the extracted features of the st vehicle charging information and features of other second vehicle charging information of the target new energy vehicle corresponding to the th vehicle charging information;

the second determining module is used for determining charging adjustment parameters of the charging piles in the target charging management area according to the characteristic comparison result;

the adjusting module is used for adjusting the charging configuration parameters of the charging piles in the target charging management area according to the charging adjustment parameters of the charging piles in the target charging management area;

and the sending module is used for sending corresponding charging adjustment information to a user terminal corresponding to the target new energy automobile of which the charging settlement of the charging pile in the target charging management area is completed within a preset time period from the current time point according to the adjusted charging configuration parameters of the charging pile in the target charging management area.
9, server, characterized in that the server includes a machine-readable storage medium and a processor, the machine-readable storage medium stores machine executable instructions, and the processor when executing the machine executable instructions, the server implements the new energy automobile charging management method according to any of claims 1-7.
10, readable storage media, wherein the readable storage media stores machine executable instructions, and the machine executable instructions when executed implement the new energy automobile charging management method of any of claims 1-7.