CN111476498B

CN111476498B - New energy automobile charging management method and device and new energy charging management system

Info

Publication number: CN111476498B
Application number: CN202010297587.2A
Authority: CN
Inventors: 孙凯旋
Original assignee: Nanjing Nengrei Technology Co ltd
Current assignee: Nanjing Nengrei Technology Co ltd
Priority date: 2019-10-29
Filing date: 2019-10-29
Publication date: 2022-09-27
Anticipated expiration: 2039-10-29
Also published as: CN111476498A; CN110738432B; CN111452660A; CN111452660B; CN110738432A

Abstract

The embodiment of the application provides a new energy automobile charging management method and device and a new energy charging management system, and by considering the characteristics of other second vehicle charging information of a target new energy automobile corresponding to each first vehicle charging information in charging management information acquired from a charging pile of a target charging management area, according to the characteristic comparison result between the first vehicle charging information and the other second vehicle charging information, the charging configuration parameters of the charging pile of the target charging management area are accurately adjusted for a specific charging area and the new energy automobile, so that the charging accumulated error of the new energy automobile is greatly reduced, and the charging management effect is improved. In addition, corresponding charging adjustment information can be sent to a user terminal corresponding to a 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, so that a new energy automobile user can timely perceive charging management service.

Description

New energy automobile charging management method and device and new energy charging management system

Technical Field

The application relates to the technical field of new energy vehicles, in particular to a new energy vehicle charging management method and device and a new energy charging management system.

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, most of the charging piles are different in specification standard, the quality difference is large, the using process is complicated and disordered, the charging configuration parameters are usually fixed before the charging piles are put into use, and whether the charging configuration parameters are reasonable can not be predicted in advance, so when the charging piles are used for charging the new energy vehicles, charging accumulated errors aiming at the new energy vehicles inevitably exist, particularly aiming at a plurality of different charging areas, different new energy vehicles 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 defects in the prior art, the application aims to provide a new energy automobile charging management method, a new energy automobile charging management device and a new energy automobile charging management system, so that charging configuration parameters of charging piles in a target charging management area are accurately adjusted for a specific charging area and a new energy automobile, and a new energy automobile user can timely sense charging management services.

In a first aspect, the application provides a new energy automobile charging management method, which is applied to a server, wherein the server is in communication connection with charging piles in charging management areas of various new energy automobiles respectively and is in communication connection with a user terminal, and the method comprises the following steps:

performing feature extraction on each piece of first vehicle charging information in charging management information acquired from a charging pile in a target charging management area;

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

according to the adjusted charging configuration parameters of the charging piles in the target charging management area, corresponding charging adjustment information is sent to a user terminal corresponding to a target new energy automobile of which the charging piles in the target charging management area have completed charging settlement within a preset time period away from the current time point;

generating target charging adjustment information integrating the charging adjustment information and the charging adjustment tracking information according to the charging adjustment information and by combining subsequent charging adjustment tracking information, and specifically comprising:

selecting a first random function sequence of the charging adjustment information and a second random function sequence of the charging adjustment tracking information from a pre-stored random function sequence table according to the charging adjustment information and the charging adjustment tracking information, calling a random function, and determining a first random function value of each adjustment dimension contained in the first random function sequence and a second random function value of each adjustment dimension contained in the second random function sequence through the random function;

determining a first adjustment condition of charging adjustment information and a second adjustment condition of charging adjustment tracking information by comparing a first random function value of each adjustment dimension contained in a first random function sequence with a second random function value of each adjustment dimension contained in a second random function sequence, wherein the random function sequence list is preset and stored;

determining the confidence coefficient of each adjustment dimension in the charging adjustment information according to the first adjustment condition, performing fusion analysis on the charging adjustment information and the charging adjustment tracking information according to the confidence coefficient of each adjustment dimension in the charging adjustment information, and generating target charging adjustment information integrating the charging adjustment information and the charging adjustment tracking information

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

the characteristic extraction module is used for extracting the characteristics of each piece of first vehicle charging information in the charging management information acquired from the charging pile in the target charging management area;

the first determining module is used for determining a feature comparison result between the first vehicle charging information and other second vehicle charging information according to the extracted features of the first vehicle charging information and features of other second vehicle charging information of the target new energy vehicle corresponding to the first 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;

the sending module is used for sending corresponding charging adjustment information to a user terminal corresponding to a target new energy automobile for 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;

the sending module is further configured to generate target charging adjustment information that integrates the charging adjustment information and the charging adjustment tracking information according to the charging adjustment information and by combining with subsequent charging adjustment tracking information, and specifically includes:

and determining the confidence coefficient of each adjustment dimension in the charging adjustment information according to the first adjustment condition, and performing fusion analysis on the charging adjustment information and the charging adjustment tracking information according to the confidence coefficient of each adjustment dimension in the charging adjustment information to generate target charging adjustment information integrating the charging adjustment information and the charging adjustment tracking information.

In a third aspect, an embodiment of the application provides a new energy charging management system, which is characterized in that the new energy charging management system includes a server, a user terminal in communication connection with the server, and charging piles in charging management areas of each new energy vehicle;

the server is used for performing feature extraction on each piece of first vehicle charging information in charging management information acquired from a charging pile in a target charging management area;

the server is used for determining a feature comparison result between the first vehicle charging information and other second vehicle charging information according to the extracted features of the first vehicle charging information and features of other second vehicle charging information of the target new energy automobile corresponding to the first vehicle charging information;

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

the server 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;

the server is used for sending corresponding charging adjustment information to a user terminal corresponding to a target new energy automobile for 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;

the server is configured to generate target charging adjustment information that integrates the charging adjustment information and the charging adjustment tracking information according to the charging adjustment information and by combining with subsequent charging adjustment tracking information, and specifically includes:

determining a first adjustment condition of the charging adjustment information and a second adjustment condition of the charging adjustment tracking information by comparing a first random function value of each adjustment dimension contained in a first random function sequence with a second random function value of each adjustment dimension contained in a second random function sequence, wherein the random function sequence is preset and stored;

In a fourth aspect, an embodiment of the present application provides a server, which includes a processor, a memory, and a network interface. The memory and the network interface processor can be connected through a bus system. The network interface is configured to receive a message, the memory is configured to store a program, instructions or code, and the processor is configured to execute the program, instructions or code in the memory to perform the operations of the first aspect or any possible design of the first aspect.

In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, where instructions are stored, and when the instructions are detected on a computer, the instructions cause the computer to perform the method of the first aspect or any possible design manner of the first aspect.

Based on any one of the above aspects, the characteristics of the other second vehicle charging information of the target new energy vehicle corresponding to each first vehicle charging information in the charging management information acquired from the charging pile in the target charging management area are considered, and according to the characteristic comparison result between the first vehicle charging information and the other second vehicle charging information, the charging configuration parameters of the charging pile in the target charging management area are accurately adjusted for the specific charging area and the new energy vehicle, so that the charging accumulated error for the new energy vehicle is greatly reduced, and the charging management effect is improved. In addition, corresponding charging adjustment information can be sent to a user terminal corresponding to a 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, so that a new energy automobile user can timely perceive charging management service.

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 schematic functional module 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

The present application is described in detail below with reference to the accompanying drawings, and the specific operation methods in the method embodiments can also be applied to the device embodiments or the system embodiments. In the description of the present application, "at least one" includes one or more unless otherwise specified. "plurality" means two or more. For example, at least one of A, B and C, comprising: a alone, B alone, a and B in combination, a and C in combination, B and C in combination, and A, B and C in combination. In this application, "/" means "or, for example, A/B may mean A or B; "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone.

Fig. 1 is an interaction scene schematic diagram of a new energy vehicle charging management method according to an embodiment of the present application. For example, the interaction scenario may be an online service platform for a new energy vehicle charging management service, for example. The interaction scenario may include the server 100, the charging pile 200, and the user terminal 300, and the server 100 may include a processor for executing instruction operations. The interaction scenario shown in fig. 1 is only one possible example, and in other possible embodiments, the interaction scenario may also include only a part of the components shown in fig. 1 or may also include other components.

In some embodiments, the server 100 may be a single server or a group of servers. The set of servers may be centralized or distributed (e.g., server 100 may be a distributed system). In some embodiments, the server 100 may be local or remote to the terminal. For example, the server 100 may access information stored in the charging pile 200, the user terminal 300, and a database, or any combination thereof, via a network. As another example, the server 100 may be directly connected to at least one of the charging post 200, the user terminal 300, and a database to access information and/or data stored therein. In some embodiments, the server 100 may be implemented on a cloud platform; by way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud (community cloud), a distributed cloud, an inter-cloud, a multi-cloud, and the like, or any combination thereof. In some embodiments, the server 100, the charging post 200, and the user terminal 300 may be implemented on an electronic device 200 having one or more components shown in fig. 2 in the embodiments of the present application.

In some embodiments, the server 100 may include a processor. The processor may process information and/or data related to the service request to perform one or more of the functions described herein. For example, in the shared printing service, the processor may determine a target shared printing terminal based on a print reservation request obtained from a user terminal. A processor may include one or more processing cores (e.g., a single-core processor (S) or a multi-core processor (S)). Merely by way of example, a 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 (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a microcontroller Unit, a Reduced Instruction Set computer (Reduced Instruction Set computer), a microprocessor, or the like, or any combination thereof.

The network may be used for the exchange of information and/or data. In some embodiments, one or more components (e.g., server 100, charging post 200, user terminal 300, and database) in an interaction scenario may send information and/or data to other components. For example, the server 100 may acquire a print request to the charging pile 200 via a network. In some embodiments, the network may be any type of wired or wireless network, or combination thereof. Merely by way of 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 Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a WLAN, a Metropolitan Area Network (MAN), a Wide Area Network (WAN), a Public Switched Telephone Network (PSTN), a bluetooth Network, a ZigBee Network, a Near Field Communication (NFC) Network, or the like, or any combination thereof. In some embodiments, the network may include one or more network access points. For example, the network may include wired or wireless network access points, such as base stations and/or network switching nodes, through which one or more components of the interaction scenario may connect to the network to exchange data and/or information.

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, an augmented reality device, or the like, or any combination thereof. In some embodiments, the smart home devices may include, but are not limited to, smart lighting devices, control devices for smart electrical devices, smart monitoring devices, smart televisions, smart cameras, or walkie-talkies, or the like, or any combination thereof. In some embodiments, the wearable device may include, but is not limited to, a smart bracelet, a smart lace, smart glass, a smart helmet, a smart watch, a smart garment, a smart backpack, a smart accessory, and the like, or any combination thereof. In some embodiments, the smart mobile device may include, but is not limited to, a smartphone, a Personal Digital Assistant (PDA), a gaming device, a navigation device, or a point of sale (POS) device, or the like, or any combination thereof. In some embodiments, the virtual reality device and/or augmented reality device may include, but are not limited to, a virtual reality helmet, virtual reality glass, a virtual reality patch, an augmented reality helmet, augmented reality glass, an augmented reality patch, or the like, or any combination thereof. For example, virtual reality devices and/or augmented reality devices may include, but are not limited to, various virtual reality products and the like.

The aforementioned database may store data and/or instructions. In some embodiments, the database may store data obtained from the charging post 200 and/or the user terminal 300. In some embodiments, the database may store data and/or instructions for the exemplary methods described herein. In some embodiments, the database may include mass storage, removable Memory, volatile Read-write Memory, or Read-Only Memory (ROM), among others, or any combination thereof. By way of example, mass storage may include magnetic disks, optical disks, solid state drives, etc.; removable memory may include flash drives, floppy disks, optical disks, memory cards, zip disks, tapes, and the like; volatile read-write Memory may include Random Access Memory (RAM); the RAM may include Dynamic RAM (DRAM), Double data Rate Synchronous Dynamic RAM (DDR SDRAM); static Random-Access Memory (SRAM), Thyristor-Based Random-Access Memory (T-RAM), Zero-capacitor RAM (Zero-RAM), and the like. By way of example, ROMs may include Mask Read-Only memories (MROMs), Programmable ROMs (PROMs), Erasable Programmable ROMs (PERROMs), Electrically Erasable Programmable ROMs (EEPROMs), compact disk ROMs (CD-ROMs), digital versatile disks (ROMs), and the like. In some embodiments, the database may be implemented on a cloud platform. By way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, across clouds, multiple clouds, or the like, or any combination thereof.

In some embodiments, a database may be connected to a network to communicate with one or more components in an interaction scenario (e.g., server 100, charging post 200, user terminal 300, etc.). One or more components in the interaction scenario may access data or instructions stored in a database via a network. In some embodiments, the database may be directly connected to one or more components in the interaction scenario (e.g., server 100, charging post 200, user terminal 300, etc.); alternatively, in some embodiments, the database may also be part of the 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 of a new energy vehicle charging management method provided in 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.

Step S110 is to perform feature extraction on each first vehicle charging information in the charging management information acquired from the charging pile 200 in the target charging management area.

Step S120, determining a feature comparison result between the first vehicle charging information and other second vehicle charging information according to the extracted features of the first vehicle charging information and the features of other second vehicle charging information of the target new energy vehicle corresponding to the first 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 first vehicle charging information may refer to vehicle charging information obtained by performing charging for a single new energy vehicle in a charging pile 200 of the target charging management area for one complete cycle, where the complete cycle may refer to a whole charging cycle, or may refer to a cycle from starting charging to finishing charging, or may refer to a cycle during charging a preset electric quantity, and this embodiment is not limited in this embodiment.

In step S150, the current time point may be set individually according to actual product conditions within a preset time period, which is not specifically limited in this embodiment. For example, alternatively, the preset time period from the current time point may refer to a week from the current time point.

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 first vehicle charging information in the charging management information acquired from the charging pile 200 of the target charging management area, according to a result of comparing the characteristics between the first 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 addition, corresponding charging adjustment information can be sent to the user terminal 300 corresponding to the target new energy automobile in the target charging management area within a preset time period from the current time point, wherein the charging settlement of the charging pile 200 is completed, so that a new energy automobile user can timely perceive the charging management service.

In some possible designs, for step S120, in order to improve the accuracy of feature alignment, feature confidence of different charging record sequences may be further considered. For example, referring to fig. 3, step S120 may be specifically implemented by the following sub-steps:

and a substep S121, calculating a characteristic gap between each charging record sequence in the first vehicle charging information and the 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 a feature comparison result between the first 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 first vehicle charging information by the charging record sequence.

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

Therefore, the embodiment further considers the feature confidence of different charging record sequences, and performs feature comparison according to 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.

Then, for any one periodic curve, 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 plurality of sub-periodic curves, wherein the periodic characteristics are used for representing whether the sub-periodic curves exist at the point or not. Meanwhile, aiming at any one control curve, the direction of the control curve representing the charging position point in the charging comparison curve is divided at equal intervals to obtain a plurality of sub-control curves, and the control characteristics of the plurality of sub-control curves are determined, wherein the control characteristics are used for representing whether the sub-control curves exist at the point or not.

On the basis, 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 first vehicle charging information of the charging record sequence to the corresponding degree to obtain a characteristic comparison result of the first 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.

Therefore, the inventor of the application finds that under the condition of a severe charging environment, the controllability and the anti-interference performance of the charging process are poor, and an ideal charging recording effect cannot be obtained. 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 unified charging comparison coordinate system, and are divided according to the time dimension and the control dimension on the cycle, and on this basis, the influence on the characteristic comparison process due to the deterioration of the charging recording effect caused by the poor controllability and the poor anti-interference performance of the charging process under the condition of a severe charging environment can be reduced by combining the characteristic confidence coefficient configured in the charging information of the first vehicle by the charging recording sequence, so that the influence on the uncontrollable environment scene is 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:

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

And a substep S132, adding a first preset charging adjustment parameter to a preset charging adjustment parameter set according to a matching relationship between the feature comparison result and the first 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 first vehicle charging information, 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 first 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 feature comparison result and the charging peak value feature information of different new energy vehicles in the target charging management area are combined to determine a first preset charging adjustment parameter and a second preset charging adjustment parameter, so as to determine the adjustment feature information of the charging pile 200 in the current target charging management area by combining the first preset charging adjustment parameter and the second preset charging adjustment parameter, so as to further determine a charging adjustment parameter curve, thereby improving the accuracy of the charging adjustment parameter.

In some possible designs, the substep S134 may be specifically implemented as follows:

firstly, within a set parameter range, calculating an adjustment residual and an adjustment cost value corresponding to the first preset charging adjustment parameter and the second preset charging adjustment parameter, and obtaining a target adjustment value corresponding to a minimum adjustment cost value of each adjustment dimension in the adjustment residual and the adjustment cost values. Wherein the target adjustment value is a set adjustment value within 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.

And then, taking the floating characteristic formed by the adjustment floating values of all adjustment dimensions as the floating characteristic of the adjustment residual error and the adjustment cost value to obtain a first floating characteristic corresponding to the first preset charging adjustment parameter and a second floating characteristic corresponding to the second preset charging adjustment parameter.

Then, calculating the feature matching degree between the first floating feature and the second floating feature image.

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 first floating feature and the second floating feature according to a 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 first 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 a basic feature to be fused with the first 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 preset feature template is used for segmenting the fusion floating features 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 for, 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 first mapping floating features, 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 and corresponding to the feature identification positions, and the feature mapping table stores the mapped information of the features.

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

And then, synthesizing the first mapping floating feature and the second mapping floating feature to obtain a synthesized mapping floating feature of the first mapping floating feature and the second mapping floating feature.

And then, obtaining conversion characteristics obtained by adopting standard charging protocol conversion from at least one floating reference characteristic point in the synthesis 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 character string sets containing a plurality of adjustment elements, so that the character string sets containing the plurality of adjustment elements are used as the adjustment feature information of the charging pile 200 in the current target charging management area.

Therefore, by adopting the 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 design, multi-level deep information can be further considered, and the accuracy of the characteristic information adjustment of the charging pile 200 is improved.

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

firstly, traversing the adjustment characteristics of each adjustment characteristic point in the adjustment characteristic information, and generating an effective adjustment parameter curve under the condition that at least one of the adjustment source parameters and the adjustment target parameters of the adjustment characteristics of the adjustment characteristic points comprises characteristic offset, wherein the adjustment source parameters and the adjustment target parameters of the effective adjustment parameter curve are in one-to-one correspondence relationship.

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, further 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 some possible designs, further to step S150, the following may be specifically implemented:

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 a first charging adjustment prompt model and a second charging adjustment prompt model connecting the two first charging adjustment prompt models.

Copying the first charging adjustment prompt model in the charging adjustment information prompt model into more than two third charging adjustment prompt models, and making any one 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 model, the second associated charging adjustment prompt model has an association relationship with at least one third charging adjustment prompt model, and the second associated charging adjustment prompt model is the second charging adjustment prompt model having an association relationship with the first charging adjustment prompt model.

And replacing the first 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 first 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 transmitting the corresponding charging adjustment information for 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 a preset time period from the current time point according to the target charging adjustment information presentation model, in order to accurately verify the accuracy and reliability of each charging adjustment information during the process of generating the charging adjustment information, the present embodiment may specifically output a plurality of pieces of information to be determined for charging adjustment according to the target charging adjustment information prompt model, and obtaining the credibility value of each piece of the to-be-determined charging adjustment information in the target charging adjustment information prompt model, and then acquiring a credibility interval set of each piece of to-be-determined charging adjustment information from a preset interval information table according to the credibility value of each piece of to-be-determined charging adjustment information.

Then, the trusted interval information of the pending charging adjustment information can be selected from the trusted interval set corresponding to the pending charging adjustment information according to the adjustment directory range interval of the pending charging adjustment information associated with each pending charging adjustment information.

Then, the lower limit value of the credible interval of each piece of to-be-charged adjustment information can be calculated and obtained further according to the adjustment directory range interval of each piece of to-be-charged adjustment information, and then a pre-configured database is queried according to the lower limit value of the credible interval of each piece of to-be-charged adjustment information to obtain a plurality of adjustment information streams of the to-be-charged adjustment information. And then, determining a first adjustment content row of which the time node in the adjustment information flow of each piece of to-be-charged adjustment information is closest to the current time node and a first content row and a second content row of a target content row by using the first adjustment content row, wherein the time sequence of the first content row is smaller than that of the second content row.

Then, determining an adjusted content line meeting a first condition in the first content lines, and determining a first weight corresponding to the first content line according to an average value of differences between the adjusted confidence of the adjusted content line meeting the first condition and a preset threshold; and adjusting the content rows with the adjusting confidence coefficient smaller than the preset threshold value according to the adjusting content behavior meeting the first condition.

Then, according to a first weight corresponding to the first content line, the adjustment value of the first adjustment content line and the feedback value corresponding to the first content line may be weighted and averaged to obtain a pre-adjustment value of the first adjustment content line, where the feedback value corresponding to the first content line is an average value of the adjustment values of the adjustment content lines meeting the first condition in the first content line.

Then, according to a first weight corresponding to the first content line, the adjustment value of the first adjustment content line and the pre-adjustment value of the first content line may be weighted and averaged to obtain a first analog adjustment value of the first adjustment content line, and meanwhile, according to an adjustment content line in the second content line, the first adjustment content line is subjected to analog suppression to obtain a second analog adjustment value of the first adjustment content line after the analog suppression.

Then, according to the second weight, the first 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 a 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 a 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 mixing analysis can be performed on each piece of to-be-determined charging adjustment information by determining different weights, so that the logic redundancy is reduced.

In addition, in some possible designs, 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 may specifically be implemented in the following manner:

and selecting a first random function sequence of the charging adjustment information and a second random function sequence of the charging adjustment tracking information from a pre-stored random function sequence list according to the charging adjustment information and the charging adjustment tracking information, calling a random function, and determining a first random function value of each adjustment dimension contained in the first 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, a first adjustment status of the charging adjustment information and a second adjustment status of the charging adjustment tracking information are determined by comparing a first random function value of each adjustment dimension included in the first random function sequence and a second random function value of each adjustment dimension included in the second random function sequence. The random function sequence list is preset and stored, and each random function sequence in the random function sequence list can be modified according to actual conditions. And then, determining the confidence coefficient of each adjustment dimension in the charging adjustment information according to the first adjustment condition, and performing fusion analysis on the charging adjustment information and the charging adjustment tracking information according to the confidence coefficient of each adjustment dimension in the charging adjustment information to generate target charging adjustment information of comprehensive charging adjustment information and charging adjustment tracking information.

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 fusion adjustment information, decoding the initial fusion adjustment information to obtain initial reconstruction fusion adjustment information, at least partially processing the charging adjustment information according to the difference of the charging adjustment information relative to the initial reconstruction fusion adjustment information to obtain first refreshed charging adjustment information, acquiring charging adjustment information of other target new energy vehicles in the charging management area associated with the charging adjustment information, and at least partially processing the charging adjustment information of the target new energy automobile in the other charging management area according to the difference of the charging adjustment information of the target new energy automobile in the other charging management area relative to the initial reconstruction fusion adjustment information to obtain second refreshed charging adjustment information. And generating target charging adjustment information according to the initial fusion adjustment information, the first refreshing charging adjustment information and the second refreshing charging adjustment information. Thus, accumulation and diffusion of errors due to fusion prediction quantization can be prevented, and fusion information and error control are balanced.

Fig. 5 is a schematic functional module diagram of a new energy vehicle charging management apparatus 400 according to an embodiment of the present application, and the new energy vehicle charging management apparatus 400 may be divided into functional modules according to the foregoing method embodiments. For example, the functional blocks may be divided for the respective functions, or two or more functions may be integrated into one processing block. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the present application is schematic, and is only a logical function division, and there may be another division manner in actual implementation. For example, in the case of dividing each function module according to each function, the new energy vehicle charging management device 400 shown in fig. 5 is only a schematic device diagram. The new energy vehicle charging management apparatus 400 may include a feature extraction module 410, a first determination module 420, a second determination module 430, an adjustment module 440, and a sending module 450, and the functions of the functional modules of the new energy vehicle charging management apparatus 400 are described in detail below.

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

The first determining module 420 is configured to determine a feature comparison result between the first vehicle charging information and other second vehicle charging information according to the extracted feature of the first vehicle charging information and the feature of the other second vehicle charging information of the target new energy vehicle corresponding to the first 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.

The sending module 450 is further configured to generate target charging adjustment information integrating the charging adjustment information and the charging adjustment tracking information according to the charging adjustment information and by combining with subsequent charging adjustment tracking information, and specifically includes:

Fig. 6 is a schematic structural diagram of a server 100 for performing the above-mentioned method for managing charging of a new energy vehicle 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. The number of the processors 130 may be one or more, and one processor 130 is taken as an example in fig. 6; the network interface 110, the machine-readable storage medium 120, and the processor 130 may be connected by a bus 140 or otherwise, as exemplified by the connection by the bus 140 in fig. 6.

The machine-readable storage medium 120 is used as a computer-readable storage medium and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the new energy vehicle charging management method in the embodiment of the present application (for example, the feature extraction module 410, the first determination module 420, the second determination module 430, the adjustment module 440, and the transmission 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, the above-mentioned new energy vehicle charging management method is implemented, and details are not repeated herein.

The machine-readable storage medium 120 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the machine-readable storage medium 120 may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of example, and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic random access memory (Dynamic RAM, DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data rate Synchronous Dynamic random access memory (DDR SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and direct rambus RAM (DR RAM). It should be noted that the memories of the systems and methods described herein are intended to comprise, without being limited to, these and any other suitable memory of a publishing node. In some examples, the machine-readable storage medium 120 may further include memory located remotely from the processor 130, which may be connected to the terminal device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The processor 130 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method embodiments may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 130. The processor 130 may be a general-purpose processor, a Digital signal processor (Digital signal processor dsp), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor.

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.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), among others.

Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may 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 flowchart 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 can 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

1. The new energy automobile charging management method is applied to a server, the server is in communication connection with charging piles in charging management areas of all new energy automobiles respectively, and is in communication connection with a user terminal, and the method comprises the following steps:

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, wherein the charging configuration parameters are used for representing charging configuration trend information;

according to the adjusted charging configuration parameters of the charging piles in the target charging management area, corresponding charging adjustment information is sent to a user terminal corresponding to a target new energy automobile of which the charging piles in the target charging management area are subjected to charging settlement within a preset time period from the current time point;

determining the confidence coefficient of each adjustment dimension in the charging adjustment information according to the first adjustment condition, and performing fusion analysis on the charging adjustment information and the charging adjustment tracking information according to the confidence coefficient of each adjustment dimension in the charging adjustment information to generate target charging adjustment information integrating the charging adjustment information and the charging adjustment tracking information;

the step of determining a feature comparison result between the first vehicle charging information and other second vehicle charging information according to the extracted feature of the first vehicle charging information and the feature of the other second vehicle charging information of the target new energy vehicle corresponding to the first vehicle charging information includes:

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

determining a feature comparison result of the first vehicle charging information and other second vehicle charging information on the charging record sequence according to the feature difference and a feature confidence degree configured in the first vehicle charging information by the charging record sequence, wherein the feature confidence degree comprises feature confidence degree change information for each period segment and each control segment;

determining a characteristic comparison result between the first vehicle charging information and other second vehicle charging information according to the characteristic comparison result of the first vehicle charging information and other second vehicle charging information on each charging record sequence;

the step of determining the charging adjustment parameters of the charging piles in the target charging management area according to the feature comparison result comprises the following steps:

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

adding a first preset charging adjustment parameter into a preset charging adjustment parameter set according to a matching relation between the characteristic comparison result and first charging peak 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 feature comparison result and second charging peak value feature information of the target new energy automobile based on second charging peak value feature information of the target new energy automobile corresponding to the first vehicle charging information;

determining adjustment characteristic information of the charging pile in the current target charging management area according to adjustment residual errors and adjustment cost values corresponding to the first preset charging adjustment parameter and 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.

2. The method for charging management of a new energy vehicle according to claim 1, wherein the step of determining the feature comparison result of the first vehicle charging information and the other second vehicle charging information on the charging record sequence according to the feature gap and the feature confidence degree configured in the charging record sequence in the first vehicle charging information 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 one periodic curve, dividing the periodic curve in the direction of representing a 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 curve, dividing the direction of the control curve representing a charging position point in the charging comparison curve at equal intervals 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 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 coefficients configured in the first vehicle charging information by the charging record sequence to obtain a characteristic comparison result of the first vehicle charging information and other second vehicle charging information on the charging record sequence.

3. The method for charging management of a new energy vehicle according to claim 1, wherein the step of determining the adjustment characteristic information of the charging pile of the current target charging management area according to the adjustment residual error and the adjustment cost value corresponding to the first preset charging adjustment parameter and the second preset charging adjustment parameter includes:

calculating an adjustment residual error and an adjustment cost value corresponding to the first preset charging adjustment parameter and the second preset charging adjustment parameter within a set parameter range to obtain the adjustment residual error and a target adjustment value corresponding to the minimum adjustment cost value of each adjustment dimension in the adjustment cost values; wherein the target adjustment value is a set adjustment value 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 characteristics formed by the adjustment floating values of all adjustment dimensions as the floating characteristics of the adjustment residual errors and the adjustment cost values to obtain first floating characteristics corresponding to the first preset charging adjustment parameters and second floating characteristics corresponding to the second preset charging adjustment parameters;

calculating a feature matching degree between the first floating feature and the second floating feature;

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

the method comprises the steps of utilizing a preset feature template to divide the fusion floating feature to form a plurality of fusion floating features to be processed, obtaining a feature identification position of the fusion floating feature, searching a feature mapping table, extracting feature information corresponding to the feature identification position, utilizing the extracted feature information to process the fusion floating feature, combining the fusion floating features after processing to obtain a first mapping floating feature, wherein the feature mapping table is used for representing the mapping relation among features, comprises the feature identification position of each feature in the preset feature template and corresponds to the feature identification position, and the feature mapping table stores the mapped feature information;

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

synthesizing the first mapping floating characteristic and the second mapping floating characteristic to obtain a synthesized mapping floating characteristic of the first mapping floating characteristic and the second mapping floating characteristic;

obtaining conversion characteristics obtained by adopting standard charging protocol conversion from at least one floating reference characteristic point 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.

4. 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 characteristics of each adjustment characteristic point in the adjustment characteristic information, and generating an effective adjustment parameter curve under the condition that at least one of an adjustment source parameter and an adjustment target parameter of the adjustment characteristics of the adjustment characteristic points comprises characteristic offset, wherein the adjustment source parameter and the adjustment target parameter of the effective adjustment parameter curve are in one-to-one correspondence;

reading the effective adjustment parameter curves one by one, and screening out adjustment characteristic points respectively 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 of a continuous effective adjusting parameter curve and an adjusting characteristic point set of the adjusting target parameters 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.

5. 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;

establishing a charging adjustment information prompt model of the charging configuration trend information, wherein the charging adjustment information prompt model comprises a first charging adjustment prompt model and a second charging adjustment prompt model which is connected with the two first charging adjustment prompt models;

copying the first charging adjustment prompt model in the charging adjustment information prompt model into more than two third charging adjustment prompt models, and making any one 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 model in the plurality of second associated charging adjustment prompt models, the second associated charging adjustment prompt models have an association relationship with at least one third charging adjustment prompt model, and the second associated charging adjustment prompt model is the second charging adjustment prompt model having an association relationship with the first charging adjustment prompt model;

replacing the first 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 first 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.

6. The new energy automobile charging management method according to claim 1, wherein the step of performing fusion analysis on the charging adjustment information and the charging adjustment tracking information according to the confidence of each adjustment dimension in the charging adjustment information to generate target charging adjustment information integrating the charging adjustment information and the charging adjustment tracking information comprises:

the method comprises the steps that charging adjustment information and charging adjustment tracking information are fused according to confidence of each adjustment dimension in the charging adjustment information to obtain initial fusion adjustment information, the initial fusion adjustment information is decoded to obtain initial reconstruction fusion adjustment information, and the charging adjustment information is at least partially processed according to the difference of the charging adjustment information relative to the initial reconstruction fusion adjustment information to obtain first refreshed charging adjustment information;

acquiring charging adjustment information of target new energy vehicles of other charging management areas related to the charging adjustment information, and at least partially processing the charging adjustment information of the target new energy vehicles of other charging management areas according to the difference of the charging adjustment information of the target new energy vehicles of other charging management areas relative to the initial reconstruction fusion adjustment information to obtain second refreshed charging adjustment information;

and generating target charging adjustment information according to the initial fusion adjustment information, the first refreshing charging adjustment information and the second refreshing charging adjustment information.

7. The utility model provides a new energy automobile management device that charges which characterized in that is applied to the server, the server respectively with each new energy automobile charge the electric pile communication connection of charging management region to with user terminal communication connection, the device includes:

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 charging configuration parameters are used for representing charging configuration trend information;

the method for determining the feature comparison result between the first vehicle charging information and other second vehicle charging information according to the extracted features of the first vehicle charging information and the features of other second vehicle charging information of the target new energy automobile corresponding to the first vehicle charging information includes:

determining a feature comparison result of the first vehicle charging information and other second vehicle charging information on the charging record sequence according to the feature difference and a feature confidence coefficient configured in the first vehicle charging information by the charging record sequence, wherein the feature confidence coefficient comprises feature confidence coefficient change information for each period segment and each control segment;

the method for determining the charging adjustment parameters of the charging pile in the target charging management area according to the feature comparison result comprises the following steps:

8. The new energy charging management system is characterized by comprising a server, a user terminal in communication connection with the server and charging piles in charging management areas of all new energy vehicles;

the server 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 charging configuration parameters are used for representing charging configuration trend information;

the server determines a feature comparison result between the first vehicle charging information and other second vehicle charging information according to the extracted features of the first vehicle charging information and features of other second vehicle charging information of the target new energy automobile corresponding to the first vehicle charging information, and the feature comparison result comprises the following steps: