Charging navigation method of vehicle, cloud server and storage medium

Abstract

The invention relates to a vehicle charging navigation method, a cloud server and a storage medium. The method comprises the following steps: receiving a charging pile search request of a vehicle, wherein the charging pile search request carries vehicle position information and charging destination information; screening out candidate charging piles according to the vehicle position information and the charging destination information; dimension charging characteristics of the candidate charging piles are obtained from the candidate charging piles, and the dimension charging characteristics are obtained through analysis according to collected charging data of the candidate charging piles in advance; comparing according to the dimension charging characteristics, and screening out a target charging pile from the candidate charging piles according to a comparison result; and sending the target charging pile to the vehicle, so that the vehicle selects the target charging pile to generate charging navigation information. According to the scheme, different charging pile navigation schemes can be provided for the user according to different dimensions, and the automobile charging experience of the user is improved.

Description

Technical Field

[0001] The present application relates to the technical field of electric vehicles, and in particular to a vehicle charging navigation method, a cloud server and a storage medium. Background Art

[0002] With the development of new energy vehicle technology, users' charging needs are increasing. Usually, users select charging piles through navigation systems for charging. However, the quality of charging piles varies, and users cannot identify the quality difference of charging piles from the appearance. At the same time, the navigation system of related technologies only provides partial information about charging piles and cannot provide service quality information of charging piles. When charging at a charging pile of poor quality, it will cause irreversible damage to the vehicle.

[0003] Therefore, how to provide users with a charging navigation solution that can better meet their charging needs is an urgent problem to be solved. Summary of the invention

[0004] In order to solve or partially solve the problems existing in the related technology, the present application provides a vehicle charging navigation method, a cloud server and a storage medium, which can provide users with different charging pile navigation solutions according to different dimensions, better meet users' charging needs, and improve users' car charging experience.

[0005] A first aspect of the present application provides a charging navigation method for a vehicle, the method comprising:

[0006] Receiving a charging pile search request from a vehicle, wherein the charging pile search request carries vehicle location information and charging destination information;

[0007] Filtering candidate charging piles according to the vehicle location information and the charging destination information;

[0008] From the candidate charging piles, obtaining a dimensional charging feature of the candidate charging pile, wherein the dimensional charging feature is obtained in advance based on the collected charging data of the candidate charging piles;

[0009] Comparing the charging characteristics according to the dimensions, and selecting a target charging pile from the candidate charging piles according to the comparison result;

[0010] The target charging pile is sent to the vehicle so that the vehicle can select and then generate charging navigation information.

[0011] Optionally, the dimensional charging feature includes at least one of charging speed, charging pile safety, and charging pile stability, and the comparing according to the dimensional charging feature and selecting a target charging pile from the candidate charging piles according to the comparison result includes:

[0012] Compare the charging characteristics according to one dimension, and select a preset number of target charging piles from the candidate charging piles according to the comparison result; or,

[0013] Comparison is performed based on at least two of the dimensional charging characteristics, and a preset number of target charging piles are screened out from the candidate charging piles based on the comparison result.

[0014] Optionally, the comparing the charging characteristics according to at least two of the dimensions, and selecting a preset number of target charging piles from the candidate charging piles according to the comparison result, includes:

[0015] At least two of the dimensional charging characteristics are calculated according to a preset algorithm, and target charging piles with preset scores are selected from the candidate charging piles according to the calculation results.

[0016] Optionally, computing the charging characteristics of at least two dimensions according to a preset algorithm, and selecting target charging piles with preset rankings in scores from the candidate charging piles according to the computing results, comprises:

[0017] At least two of the dimensional charging characteristics are weighted according to a weighted algorithm, and the calculation results are normalized. According to the normalized calculation results, target charging piles with preset scores are screened out from the candidate charging piles.

[0018] Optionally, the dimensional charging feature further includes a charging pile limited charging feature, and the comparing based on at least two of the dimensional charging features and selecting a target charging pile from the candidate charging piles according to the comparison result includes:

[0019] Compare the charging characteristics of one dimension, and select a preset number of target charging piles without charging restrictions from the candidate charging piles according to the comparison result; or,

[0020] Comparison is performed based on at least two of the dimensional charging characteristics, and a preset number of target charging piles with no charging limit are screened out from the candidate charging piles based on the comparison result.

[0021] Optionally, the method further comprises:

[0022] After a preset number of target charging piles are screened out, the dimensional charging characteristics of the target charging piles are displayed.

[0023] Optionally, the dimensional charging features are obtained in advance based on collected charging data of candidate charging piles, including:

[0024] Pre-acquire charging data of charging piles uploaded by at least two vehicles;

[0025] The charging data is analyzed based on a preset analysis algorithm to obtain dimensional charging characteristics of each charging pile.

[0026] Optionally, analyzing the charging data based on a preset analysis algorithm to obtain the dimensional charging characteristics of each charging pile includes:

[0027] Counting the average charging time of the charging pile according to the charging data, and determining the charging quantile of the charging pile according to the average charging time, wherein the charging quantile represents the charging speed; or,

[0028] According to the charging data, the occurrence rate of insulation abnormality and the occurrence rate of limiting current failure of the charging pile are counted, and the average safety rate of the charging pile is determined according to the occurrence rate of insulation abnormality and the occurrence rate of limiting current failure of the charging pile, wherein the average safety rate represents the safety of the charging pile; or

[0029] The occurrence rate of abnormal charging stop of the charging pile is counted according to the charging data, and the stability rate of the charging pile is determined according to the occurrence rate of abnormal charging stop of the charging pile, wherein the stability rate of the charging pile represents the stability of the charging pile.

[0030] A second aspect of the present application provides a cloud server, the cloud server comprising:

[0031] A request receiving module, configured to receive a charging pile search request of a vehicle, wherein the charging pile search request carries vehicle location information and charging destination information;

[0032] A candidate screening module, used to screen candidate charging piles according to the vehicle location information and the charging destination information;

[0033] A feature acquisition module, used to acquire a dimensional charging feature of the candidate charging pile from the candidate charging pile, wherein the dimensional charging feature is obtained in advance based on the collected charging data of the candidate charging pile;

[0034] A target screening module, used for comparing the charging characteristics according to the dimensions, and screening out a target charging pile from the candidate charging piles according to the comparison result;

[0035] The information sending module is used to send the target charging pile to the vehicle so that the vehicle can generate charging navigation information after selection.

[0036] Optionally, the cloud server further includes:

[0037] A data acquisition module, used to pre-acquire charging data of charging piles uploaded by at least two vehicles;

[0038] The data analysis module is used to analyze the charging data based on a preset analysis algorithm to obtain the dimensional charging characteristics of each charging pile.

[0039] A third aspect of the present application provides a cloud server, comprising:

[0040] Processor; and

[0041] The memory stores executable codes thereon, and when the executable codes are executed by the processor, the processor is caused to execute the method as described above.

[0042] A fourth aspect of the present application provides a computer-readable storage medium having executable code stored thereon. When the executable code is executed by a processor of a server, the processor is caused to execute the method as described above.

[0043] The technical solution provided by this application may have the following beneficial effects:

[0044] This application can obtain the dimensional charging characteristics of the charging piles in advance based on the collected charging data of the charging piles. When receiving the charging pile search request of the vehicle, the dimensional charging characteristics of the candidate charging piles can be obtained from the candidate charging piles, and the dimensional charging characteristics can be compared. According to the comparison results, the target charging pile is screened out from the candidate charging piles; the target charging pile is then sent to the vehicle for the vehicle to select and generate charging navigation information. This application obtains the dimensional charging characteristics of the charging piles by obtaining massive charging data of the charging piles and performing multi-dimensional effective analysis on the charging piles. In this way, when the vehicle searches for charging piles, different charging pile navigation solutions can be provided to the user according to different dimensions, so that the user can select the required charging pile according to their own needs, better meet the user's charging needs, and improve the user's car charging experience.

[0045] Furthermore, the dimensional charging features provided by the present application may include charging speed, charging pile safety, and charging pile stability. The present application may compare based on one of the dimensional charging features, and select a preset number of target charging piles from the candidate charging piles based on the comparison result; or, compare based on at least two of the dimensional charging features, and select a preset number of target charging piles from the candidate charging piles based on the comparison result. Through the above processing, target charging piles can be recommended to users based on a single dimensional charging feature, or based on a comprehensive analysis of multiple dimensional charging features, thereby meeting various different needs of users.

[0046] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The above and other objects, features and advantages of the present application will become more apparent by describing in more detail exemplary embodiments of the present application in conjunction with the accompanying drawings, wherein the same reference numerals generally represent the same components in the exemplary embodiments of the present application.

[0048] Figure 1 is a first flow chart of a vehicle charging navigation method shown in an embodiment of the present application;

[0049] Figure 2 is a second flow chart of the vehicle charging navigation method shown in an embodiment of the present application;

[0050] Figure 3 is a first structural diagram of a cloud server shown in an embodiment of the present application;

[0051] Figure 4 is a second structural diagram of a cloud server shown in an embodiment of the present application;

[0052] Figure 5 This is a third structural diagram of the cloud server shown in the embodiment of the present application. DETAILED DESCRIPTION

[0053] The embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to make the present application more thorough and complete, and to fully convey the scope of the present application to those skilled in the art.

[0054] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms of "a", "said" and "the" used in this application and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0055] It should be understood that although the terms "first", "second", "third", etc. may be used in this application to describe various information, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of this application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0056] The charging navigation method of the related art cannot provide users with more accurate charging pile reference information, and the recommended charging piles cannot meet the charging needs of users, resulting in a poor charging experience.

[0057] In order to solve the problems existing in the related technology, the present application provides a vehicle charging navigation method, which can provide users with different charging pile navigation solutions according to different dimensions, better meet the user's charging needs, and improve the user's car charging experience.

[0058] The technical solution of the embodiment of the present application is described in detail below with reference to the accompanying drawings.

[0059] Figure 1 It is a first flow chart of the vehicle charging navigation method shown in an embodiment of the present application.

[0060] The method can be applied to a cloud server, which may be, for example, an Internet of Vehicles platform.

[0061] like Figure 1 As shown, the method includes:

[0062] Step S101: receiving a charging pile search request of a vehicle, wherein the charging pile search request carries vehicle location information and charging destination information.

[0063] When the owner searches for a charging station near the vehicle, the charging station search request sent by the vehicle to the cloud server can carry the vehicle location information and charging destination information. The charging destination information can be, for example, a specific address information, or an area at a preset distance from the vehicle location (for example, 1 km, 5 km, 10 km from the vehicle location).

[0064] Step S102, screening out candidate charging piles according to the vehicle location information and the charging destination information.

[0065] The vehicle location information may be the latitude and longitude information of the vehicle, and the charging destination information may be the latitude and longitude information of the charging pile. The cloud server selects candidate charging piles based on the latitude and longitude information of the vehicle and the latitude and longitude information of the charging pile. For example, the cloud server selects charging piles that are 1 km, 5 km, and 10 km away from the vehicle location as candidate charging piles.

[0066] Step S103, obtaining dimensional charging features of the candidate charging piles from the candidate charging piles, wherein the dimensional charging features are obtained in advance based on the collected charging data of the candidate charging piles.

[0067] In the present application, dimensional charging characteristics may include at least one of charging speed, charging pile safety, and charging pile stability.

[0068] The dimensional charging features are obtained in advance based on the collected charging data of the candidate charging piles, including:

[0069] Pre-acquire charging data of charging piles uploaded by at least two vehicles;

[0070] The charging data is analyzed based on the preset analysis algorithm to obtain the dimensional charging characteristics of each charging pile.

[0071] Step S104, comparing the dimensional charging characteristics, and selecting a target charging pile from the candidate charging piles according to the comparison result.

[0072] The step S104 may include:

[0073] Compare charging characteristics in one dimension, and select a preset number of target charging piles from the candidate charging piles according to the comparison result; or,

[0074] Comparison is performed based on charging characteristics in at least two dimensions, and a preset number of target charging piles are screened out from the candidate charging piles based on the comparison results.

[0075] The comparison is performed based on charging characteristics of at least two dimensions, and a preset number of target charging piles are screened out from the candidate charging piles based on the comparison result, including:

[0076] The charging characteristics of at least two dimensions are calculated according to a preset algorithm, and target charging piles with preset scores are selected from the candidate charging piles according to the calculation results.

[0077] The charging characteristics of at least two dimensions are calculated according to a preset algorithm, and target charging piles with preset scores are selected from the candidate charging piles according to the calculation results, including:

[0078] The charging characteristics of at least two dimensions are weighted according to a weighted algorithm, and the calculation results are normalized. According to the normalized calculation results, target charging piles with preset scores are screened out from the candidate charging piles.

[0079] It should be noted that the dimensional charging feature of the present application may also include a charging pile limit feature. Comparing the charging features of at least two dimensions and selecting a target charging pile from the candidate charging piles according to the comparison result may include:

[0080] Compare the charging characteristics in one dimension, and select a preset number of target charging piles without charging restrictions from the candidate charging piles according to the comparison result; or,

[0081] Comparison is performed based on charging characteristics in at least two dimensions, and a preset number of target charging piles with no charging limit are screened out from the candidate charging piles based on the comparison result.

[0082] It should also be noted that after a preset number of target charging piles are screened out, the dimensional charging characteristics of the target charging piles can be displayed.

[0083] Step S105, sending the target charging pile to the vehicle for the vehicle to select and then generate charging navigation information.

[0084] The cloud server sends the target charging pile to the vehicle, which can be pushed to the vehicle's large screen, where the user can select the desired charging pile. After the user selects the desired charging pile, the vehicle's navigation system can generate charging navigation information based on the selected charging pile.

[0085] It can be found from this embodiment that the present application can obtain the dimensional charging characteristics of the charging pile in advance based on the collected charging data of the charging pile. When the charging pile search request of the vehicle is received, the dimensional charging characteristics of the candidate charging pile can be obtained from the candidate charging piles, and the dimensional charging characteristics can be compared. According to the comparison result, the target charging pile is screened out from the candidate charging piles; the target charging pile is then sent to the vehicle for the vehicle to select and generate charging navigation information. The present application obtains the dimensional charging characteristics of the charging pile by obtaining the massive charging data of the charging pile, and performs multi-dimensional effective analysis on the charging pile, so that when the vehicle searches for the charging pile, different charging pile navigation solutions can be provided to the user according to different dimensions, so that the user can select the required charging pile according to their own needs, better meet the user's charging needs, and improve the user's car charging experience.

[0086] Figure 2 It is a second flow chart of the vehicle charging navigation method shown in an embodiment of the present application.

[0087] The method can be applied to a cloud server, which may be, for example, an Internet of Vehicles platform.

[0088] like Figure 2 As shown, the method includes:

[0089] Step S201, pre-acquire charging data of charging piles uploaded by at least two vehicles, and classify the charging data.

[0090] In this application, for example, a cloud server such as a vehicle networking platform obtains the charging data of the charging pile uploaded by each vehicle.

[0091] When the user is using the vehicle, the vehicle's onboard system can monitor the vehicle's charging process and record the corresponding charging data. For example, during a quick charge of the vehicle, the vehicle can obtain relevant information during the charging process, including charging events (fast charging events under fast charging conditions and slow charging events under slow charging conditions), charging time, location information of the charging pile (such as longitude and latitude, etc.), brand logo of the charging pile, request current per second, charging current per second, load current per second, charging voltage, etc. Then the onboard system can generate the corresponding charging data of the charging pile based on this information and send it to the cloud server so that the cloud server can perform corresponding data processing.

[0092] The cloud server classifies the charging data uploaded by the vehicle into events, such as fast charging events, slow charging events, driving events, and stationary events.

[0093] Step S202: extracting feature data from the classified charging data.

[0094] The present application can extract characteristic data of charging data for fast charging events and slow charging events.

[0095] The characteristic data extracted from the charging data may include one or more of the following data: vehicle number information, charging date, charging location, charging gun number, charging start SOC (State of Charge), charging end SOC and charging time, etc.

[0096] It should be noted that the cloud server can communicate with the vehicle to obtain the charging data sent by the vehicle, and can also communicate with the charging pile to obtain the charging data of the charging pile. Then, the charging data uploaded by the vehicle and the charging pile can be combined for comprehensive analysis.

[0097] Step S203, table building processing is performed on the characteristic data of the extracted charging data, and the characteristic data of the charging data in the table is analyzed based on a preset analysis algorithm to obtain the dimensional charging characteristics of each charging pile.

[0098] The characteristic data extracted from the charging data can be first recorded in data table 1.

[0099] The characteristic data in Table 1 include the vehicle frame number, date, time, latitude and longitude during charging, charging pile brand, charging gun number, charging start and end SOC, charging start and end time, etc. The contents of Table 1 are as follows but not limited to:

[0100]

[0101] Table 1

[0102] The data in Table 1 were further statistically analyzed.

[0103] For example, after collecting statistics on the data of each charging period of the charging pile, data table 2 is formed.

[0104] The contents of Table 2 are as follows but are not limited thereto:

[0105]

[0106] Table 2

[0107] in:

[0108] The judgment logic of abnormal charging stop of the charging pile includes: the reason for charging stop is directly issued by the BMS (Battery Management System); when the reason for charging stop is caused by the abnormality of the charging pile, it is recorded as yes in this column, otherwise it is recorded as no in this column.

[0109] Judgment logic of limiting current fault: When the maximum current is greater than 2.5 times the charging request current during the charging process, it is judged as a limiting current fault and recorded as yes in this column, otherwise it is recorded as no in this column.

[0110] The judgment logic of whether there is a charging pile limit is as follows: 1) The vehicle is not set to not allow full charging. 2) The reason for charging stop is due to the charging pile. 3) When charging ends, SOC (State of Charge) < 95%. 4) Charging balance > 0. If the above conditions are met, record it as yes in this column, otherwise record it as no in this column.

[0111] Judgment logic of charging pile insulation abnormality: directly issued by BMS. When BMS determines that there is an insulation fault during charging and no insulation fault is reported after charging is stopped, it is recorded as yes in this column, otherwise it is recorded as no in this column.

[0112] SOC 20%-80% charging time: record the time it takes to charge SOC 20%-80%. If it does not meet the requirement of charging 20%-80%, fill in No or NA. SOC is the state of charge of the battery, which indicates the current percentage of the battery relative to its maximum charge capacity.

[0113] Based on the data in Table 2, further statistical analysis was performed.

[0114] For example, further summarize the data in the most recent preset time period, such as 7 days, to obtain data table 3. The content of table 3 is as follows but not limited thereto:

[0115]

[0116] Table 3

[0117] It should be noted that the summary method of Table 3 is the probability or average time of all charges occurring within a fixed time period.

[0118] For example: The charging pile stops charging abnormally, and there are 8 yes and 0 no in the past 7 days, then the occurrence rate is: 100%.

[0119] Average SOC 20%-80% charging time: For example, the average of all data in the past 7 days.

[0120] Furthermore, based on the data in Table 3, the dimensional charging characteristics of each charging pile are analyzed.

[0121] The dimensional charging characteristics may include at least one of the charging speed, charging pile safety, and charging pile stability, and may also include charging pile limited charging characteristics.

[0122] For example, the average charging time of the charging pile is counted based on the charging data, and the charging quantile of the charging pile is determined based on the average charging time, wherein the charging quantile represents the charging speed.

[0123] The charging quantile of the charging pile can be determined based on the average SOC 20%-80% charging time in Data Table 3. The mapping relationship between the average SOC 20%-80% charging time and the charging quantile of the charging pile can be preset, so that the corresponding charging quantile of the charging pile can be mapped according to the average SOC 20%-80% charging time.

[0124] For example, the incidence rate of insulation anomalies and limiting current failures of charging piles are statistically analyzed based on charging data, and the average safety rate of charging piles is determined based on the incidence rate of insulation anomalies and limiting current failures of charging piles, where the average safety rate represents the safety of charging piles.

[0125] Among them, the abnormal failure rate of the charging pile can be calculated based on the abnormal insulation occurrence rate and the limit current failure occurrence rate in Data Table 3 to obtain the average abnormal failure rate of the charging pile. The calculation formula is as follows:

[0126] Average abnormal failure rate = (abnormal insulation rate of electric pile + limit current failure rate) / 2

[0127] The mapping relationship between the average value of abnormal failure rate of charging piles and the average safety rate can be preset, so that the corresponding average safety rate can be mapped according to the average value of abnormal failure rate of charging piles. For example, the average value of abnormal failure rate of charging piles is 5%, and the corresponding average safety rate is 95%.

[0128] For example, the occurrence rate of abnormal charging stop of the charging pile is counted according to the charging data, and the stability rate of the charging pile is determined according to the occurrence rate of abnormal charging stop of the charging pile, wherein the stability rate of the charging pile represents the stability of the charging pile.

[0129] The charging pile stability rate can be determined based on the charging pile abnormal stop charging rate in data table 3. The mapping relationship between the charging pile abnormal stop charging rate and the charging pile stability rate can be preset, so that the corresponding charging pile stability rate can be mapped according to the charging pile abnormal stop charging rate. For example, the charging pile abnormal stop charging rate is 5%, and the corresponding charging pile stability rate is 95%.

[0130] For example, the charging pile restriction feature can be determined based on the unrestricted charging piles listed in Data Table 3.

[0131] Unrestricted charging stations usually provide more stable and efficient charging services, improving the user's overall charging experience. Unrestricted charging stations usually provide higher charging power, thus shortening the charging time. Restricted charging stations may slow down the charging speed due to power restrictions, increasing waiting time. Choosing unrestricted charging stations can improve charging efficiency and reduce waiting time.

[0132] Step S204: receiving a charging pile search request of the vehicle, wherein the charging pile search request carries vehicle location information and charging destination information.

[0133] For example, when a car owner searches for a charging station near the vehicle, the charging station search request sent by the vehicle to the cloud server can carry the vehicle location information and charging destination information. The charging destination information can be, for example, a specific address information, or an area at a preset distance from the vehicle location (for example, 1 km, 5 km, 10 km from the vehicle location).

[0134] Step S205: Screen out candidate charging piles based on the vehicle location information and the charging destination information.

[0135] The vehicle location information may be the latitude and longitude information of the vehicle, and the charging destination information may be the latitude and longitude information of the charging pile. Based on the latitude and longitude information of the vehicle and the latitude and longitude information of the charging pile, the cloud server sequentially selects the charging piles within the first distance range, the second distance range, and the third distance range nearby as candidate charging piles. The first distance is less than the second distance, and the second distance is less than the third distance.

[0136] For example, the cloud server selects charging piles that are 1 km, 5 km, and 10 km away from the vehicle as candidate charging piles.

[0137] Step S206, obtaining the dimensional charging characteristics of the candidate charging piles obtained by pre-analysis from the candidate charging piles.

[0138] After screening out the candidate charging piles, the cloud server can obtain the dimensional charging characteristics of each of the candidate charging piles, wherein the dimensional charging characteristics may include average charging speed, charging pile safety, charging pile stability, and charging pile limit characteristics.

[0139] 1) Average charging speed: The charging speed can be characterized by the charging quantile, where the charging quantile of the charging pile can be determined based on the average SOC20%-80% charging time.

[0140] 2) Charging pile safety: The safety of charging piles can be characterized by the average safety rate, where the average safety rate of the corresponding mapped charging piles can be determined based on the average value of the abnormal failure rate of the charging piles.

[0141] The average abnormal failure rate of charging piles = (the occurrence rate of abnormal insulation of charging piles + the occurrence rate of limiting current failures) / 2

[0142] 3) Charging pile stability: The charging pile stability can be characterized by the charging pile stability rate. The corresponding mapped charging pile stability rate can be determined based on the occurrence rate of abnormal charging stop of the charging pile.

[0143] 4) Charging pile charging limit characteristics: The charging pile charging limit characteristics can be determined by listing the unrestricted charging piles.

[0144] Step S207, performing comparison according to the dimensional charging characteristics, and selecting a target charging pile from the candidate charging piles according to the comparison result.

[0145] Among them, the comparison can be made based on charging characteristics in one dimension, and a preset number of target charging piles can be screened out from the candidate charging piles based on the comparison result; or,

[0146] Comparison is performed based on charging characteristics in at least two dimensions, and a preset number of target charging piles are screened out from the candidate charging piles based on the comparison results.

[0147] Among them, the comparison can be made based on charging characteristics in one dimension, and a preset number of target charging piles with no charging limit can be screened out from the candidate charging piles based on the comparison result; or,

[0148] Comparison is performed based on charging characteristics in at least two dimensions, and a preset number of target charging piles with no charging limit are screened out from the candidate charging piles based on the comparison result.

[0149] That is to say, after the present application screens out the candidate charging piles, it can further determine the recommendation results of better or optimal target charging piles according to different dimensions, such as charging speed, charging pile safety, charging pile stability, and charging pile limit, so that car owners can choose the appropriate solution to meet their own needs based on different recommendation results.

[0150] Take the comparison based on one dimension of charging characteristics and the selection of a preset number of target charging piles from the candidate charging piles as an example:

[0151] 1) Filter out the N charging piles with the fastest average charging speed: Sort the selected candidate charging piles according to the average charging speed, and list the N charging piles with the fastest average charging speed according to the sorting results, and also display the average time and the corresponding charging quantile. Where N is greater than or equal to 1.

[0152] 2) Filter out the N charging piles with the highest safety: sort the selected candidate charging piles according to the average abnormal failure rate, and list the N charging piles with the smallest average abnormal failure rate according to the sorting result (that is, the N charging piles with the highest charging pile safety), and the corresponding average safety rate can also be displayed.

[0153] 3) Filter out the N charging piles with the highest charging pile stability: sort the selected candidate charging piles according to the incidence of abnormal charging stop, and list the N charging piles with the lowest incidence of abnormal charging stop according to the sorting results (that is, the N charging piles with the highest charging pile safety), and the corresponding charging pile stability rate can also be displayed.

[0154] An example is given by comparing charging characteristics according to at least two dimensions and selecting a preset number of target charging piles from candidate charging piles according to the comparison results:

[0155] At this time, a comprehensive analysis can be conducted based on the charging speed, charging pile safety, and charging pile stability.

[0156] For example, the charging characteristics of at least two dimensions may be weighted according to a weighted algorithm, and the calculation results may be normalized. According to the normalized calculation results, target charging piles with preset scores may be selected from the candidate charging piles.

[0157] The present application can set different preset weights for charging speed, charging pile safety, and charging pile stability, for example: the charging percentile weight Q1 corresponding to the charging speed, the average safety rate weight Q2 corresponding to the charging pile safety, and the charging pile stability rate Q3 corresponding to the charging pile stability.

[0158] The weighted algorithm formula may be as follows but is not limited thereto:

[0159] Comprehensive score Q = Q1*charging percentile + Q2*average safety rate + Q3*charging pile stability rate

[0160] Furthermore, the calculation result may be normalized using a normalization algorithm, such as a Min-Max algorithm, and then multiplied by 100 to display the final score.

[0161] Then, N target charging piles with top scores can be screened out.

[0162] Among them, the acquisition of preset weights may include: acquiring user behavior characteristic information, analyzing user charging preference information based on the user behavior characteristic information; acquiring initial preset weights, adjusting the initial preset weights based on the user charging preference information, and obtaining preset weights.

[0163] In this embodiment, by obtaining the user information of the vehicle, the vehicle analyzes the user behavior to obtain the user behavior characteristic information, and the user's charging preference is understood according to the user behavior characteristic information, and the charging weight is set. For example, the user has high requirements for the safety and stability of charging piles, so the weights of Q2 and Q3 can be adjusted, and the weight of Q1 can be reduced to meet the user's behavior preference.

[0164] Step S208, sending the target charging pile to the vehicle for the vehicle to select and then generate charging navigation information.

[0165] The cloud server sends the determined target charging pile to the vehicle, which can be pushed to the vehicle's large screen, where the user can select the desired charging pile. After the user selects the desired charging pile, the vehicle's navigation system can generate charging navigation information based on the selected charging pile.

[0166] It can be found that the solution provided by the present application collects massive charging data of charging piles, conducts multi-dimensional effective analysis of the charging piles, and obtains the dimensional charging characteristics of the charging piles. In this way, when the vehicle searches for charging piles, different charging pile navigation solutions can be provided to users according to different dimensions, so that users can choose the required charging piles according to their own needs, better meet the user's charging needs, and improve the user's car charging experience.

[0167] This application can recommend target charging piles to users based on charging characteristics in a single dimension, or based on a comprehensive analysis of charging characteristics in multiple dimensions, so as to meet the various different needs of users. This application uses a cloud server to capture specific charging scenarios, collect and statistically analyze charging-related information of vehicles and charging piles, and judge charging piles from different dimensions such as charging speed, charging pile safety, charging pile stability, and charging pile limit, so that users can choose charging piles that are safe, stable, and fast.

[0168] The above describes in detail the vehicle charging navigation method of the present application, and an embodiment of the present application provides a cloud server accordingly.

[0169] Figure 3 It is a first structural diagram of a cloud server shown in an embodiment of the present application.

[0170] See also Figure 3 The present application provides a cloud server 30, comprising: a request receiving module 31, a candidate screening module 32, a feature acquisition module 33, a target screening module 34, and an information sending module 35.

[0171] The request receiving module 31 is used to receive a charging pile search request of a vehicle, wherein the charging pile search request carries vehicle location information and charging destination information.

[0172] When the owner searches for a charging station near the vehicle, the charging station search request sent by the vehicle to the cloud server can carry the vehicle location information and charging destination information. The charging destination information can be, for example, a specific address information, or an area at a preset distance from the vehicle location (for example, 1 km, 5 km, 10 km from the vehicle location).

[0173] The candidate screening module 32 is used to screen candidate charging piles according to the vehicle location information and the charging destination information.

[0174] The vehicle location information may be the latitude and longitude information of the vehicle, and the charging destination information may be the latitude and longitude information of the charging pile. The candidate screening module 32 screens out candidate charging piles based on the latitude and longitude information of the vehicle and the latitude and longitude information of the charging pile. For example, the cloud server screens out charging piles that are 1 km, 5 km, and 10 km away from the vehicle location as candidate charging piles.

[0175] The feature acquisition module 33 is used to acquire the dimensional charging features of the candidate charging piles from the candidate charging piles, wherein the dimensional charging features are obtained in advance based on the collected charging data of the candidate charging piles.

[0176] In this application, the dimensional charging feature may include at least one of the charging speed, charging pile safety, and charging pile stability. The dimensional charging feature is obtained in advance based on the collected charging data of the candidate charging piles, including: pre-acquiring the charging data of the charging piles uploaded by at least two vehicles; analyzing the charging data based on a preset analysis algorithm to obtain the dimensional charging feature of each charging pile.

[0177] The target screening module 34 is used to compare the dimensional charging characteristics and screen out the target charging pile from the candidate charging piles according to the comparison result.

[0178] The target screening module 34 can compare the charging characteristics according to one dimension, and screen out a preset number of target charging piles from the candidate charging piles according to the comparison result; or, compare the charging characteristics according to at least two dimensions, and screen out a preset number of target charging piles from the candidate charging piles according to the comparison result.

[0179] Among them, the comparison is made based on charging characteristics of at least two dimensions, and a preset number of target charging piles are screened out from the candidate charging piles according to the comparison results, including: calculating the charging characteristics of at least two dimensions according to a preset algorithm, and screening out target charging piles with preset scores from the candidate charging piles according to the calculation results.

[0180] Among them, the charging characteristics of at least two dimensions are calculated according to a preset algorithm, and the target charging piles with preset scores are screened out from the candidate charging piles according to the calculation results, including: the charging characteristics of at least two dimensions are weighted according to a weighted algorithm, and the calculation results are normalized, and the target charging piles with preset scores are screened out from the candidate charging piles according to the normalized calculation results.

[0181] It should also be noted that after screening out a preset number of target charging piles, the dimensional charging characteristics of the target charging piles can be displayed, which can make the display more intuitive and convenient for selection.

[0182] The information sending module 35 is used to send the target charging pile to the vehicle so that the vehicle can generate charging navigation information after selection.

[0183] The information sending module 35 sends the target charging pile to the vehicle, which can be pushed to the vehicle's large screen, where the user can select the desired charging pile. After the user selects the desired charging pile, the vehicle's navigation system can generate charging navigation information based on the selected charging pile.

[0184] The cloud server provided by the present application can obtain the dimensional charging characteristics of the charging piles in advance based on the charging data of the collected charging piles. When receiving the charging pile search request of the vehicle, the dimensional charging characteristics of the candidate charging piles can be obtained from the candidate charging piles, and the dimensional charging characteristics can be compared. The target charging pile is screened out from the candidate charging piles according to the comparison result; and the target charging pile is sent to the vehicle for the vehicle to select and generate charging navigation information. The present application obtains the dimensional charging characteristics of the charging piles by performing multi-dimensional effective analysis on the charging piles by obtaining the massive charging data of the charging piles. In this way, when the vehicle searches for the charging piles, different charging pile navigation solutions can be provided to the user according to different dimensions, so that the user can select the required charging pile according to their own needs, better meet the user's charging needs, and improve the user's car charging experience.

[0185] Figure 4 This is a second structural diagram of the cloud server shown in the embodiment of the present application.

[0186] See also Figure 4 The present application provides a cloud server 40, comprising: a request receiving module 31, a candidate screening module 32, a feature acquisition module 33, a target screening module 34, an information sending module 35, a data collection module 36, and a data analysis module 37.

[0187] The functions of the request receiving module 31, the candidate screening module 32, the feature acquisition module 33, the target screening module 34, and the information sending module 35 can be found in Figure 3 The description in will not be repeated here.

[0188] The data acquisition module 36 is used to pre-acquire the charging data of the charging piles uploaded by at least two vehicles.

[0189] The data collection module 36 pre-acquires the charging data of the charging piles uploaded by at least two vehicles and classifies the charging data.

[0190] The data analysis module 37 is used to analyze the charging data based on a preset analysis algorithm to obtain the dimensional charging characteristics of each charging pile. The characteristic acquisition module 33 obtains the dimensional charging characteristics of the charging pile from the data analysis module 37.

[0191] The data analysis module 37 extracts feature data from the classified charging data, creates a table for the extracted feature data of the charging data, analyzes the feature data of the charging data in the table based on a preset analysis algorithm, and obtains the dimensional charging features of each charging pile.

[0192] The data analysis module 37 analyzes the charging data based on a preset analysis algorithm to obtain the dimensional charging characteristics of each charging pile, which may include:

[0193] Calculate the average charging time of the charging pile according to the charging data, and determine the charging quantile of the charging pile according to the average charging time, wherein the charging quantile represents the charging speed; or,

[0194] According to the charging data, the incidence rate of insulation abnormality and the incidence rate of limiting current failure of the charging pile are counted, and the average safety rate of the charging pile is determined according to the incidence rate of insulation abnormality and the incidence rate of limiting current failure of the charging pile, wherein the average safety rate represents the safety of the charging pile; or

[0195] The occurrence rate of abnormal charging stop of the charging pile is counted according to the charging data, and the stability rate of the charging pile is determined according to the occurrence rate of abnormal charging stop of the charging pile, wherein the stability rate of the charging pile represents the stability of the charging pile.

[0196] It can be found that the system provided in the present application can recommend target charging piles to users based on charging characteristics of a single dimension, or can recommend target charging piles to users based on a comprehensive analysis of charging characteristics of multiple dimensions, thereby meeting various different needs of users.

[0197] Figure 5 This is a third structural diagram of the cloud server shown in the embodiment of the present application.

[0198] See also Figure 5 , the cloud server 500 includes a memory 501 and a processor 502 .

[0199] The processor 502 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0200] The memory 501 may include various types of storage units, such as system memory, read-only memory (ROM) and permanent storage devices. Among them, ROM can store static data or instructions required by the processor 502 or other modules of the computer. The permanent storage device can be a readable and writable storage device. The permanent storage device can be a non-volatile storage device that will not lose the stored instructions and data even if the computer is powered off. In some embodiments, the permanent storage device uses a large-capacity storage device (such as a magnetic or optical disk, flash memory) as a permanent storage device. In some other embodiments, the permanent storage device can be a removable storage device (such as a floppy disk, optical drive). The system memory can be a readable and writable storage device or a volatile readable and writable storage device, such as a dynamic random access memory. The system memory can store some or all instructions and data required by the processor at run time.

[0201] In addition, the memory 501 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (e.g., DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and magnetic disks and / or optical disks may also be used. In some embodiments, the memory 501 may include a removable storage device that can be read and / or written, such as a laser disc (CD), a read-only digital versatile disk (e.g., DVD-ROM, double-layer DVD-ROM), a read-only Blu-ray disk, an ultra-density optical disk, a flash memory card (e.g., SD card, min SD card, Micro-SD card, etc.), a magnetic floppy disk, etc. The computer-readable storage medium does not include carrier waves and instantaneous electronic signals transmitted wirelessly or wired.

[0202] The memory 501 stores executable codes, and when the executable codes are processed by the processor 502 , the processor 502 can execute part or all of the methods described above.

[0203] In addition, the method according to the present application may also be implemented as a computer program or a computer program product, which includes computer program code instructions for executing some or all of the steps in the above method of the present application.

[0204] Alternatively, the present application can also be implemented as a computer-readable storage medium (or non-temporary machine-readable storage medium or machine-readable storage medium) on which executable code (or computer program or computer instruction code) is stored. When the executable code (or computer program or computer instruction code) is executed by a processor of a car (or server, etc.), the processor executes part or all of the steps of the above-mentioned method according to the present application.

[0205] The embodiments of the present application have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A vehicle charging navigation method, characterized in that: The method comprises: Receiving a charging pile search request from a vehicle, wherein the charging pile search request carries vehicle location information and charging destination information; Filtering candidate charging piles according to the vehicle location information and the charging destination information; From the candidate charging piles, obtaining a dimensional charging feature of the candidate charging pile, wherein the dimensional charging feature is obtained in advance based on the collected charging data of the candidate charging piles; Comparing the charging characteristics according to the dimensions, and selecting a target charging pile from the candidate charging piles according to the comparison result; The target charging pile is sent to the vehicle so that the vehicle can select and then generate charging navigation information.

2. The method according to claim 1, characterized in that The dimensional charging feature includes at least one of charging speed, charging pile safety, and charging pile stability. The comparing according to the dimensional charging feature and selecting a target charging pile from the candidate charging piles according to the comparison result includes: Compare the charging characteristics according to one dimension, and select a preset number of target charging piles from the candidate charging piles according to the comparison result; or, Comparison is performed based on at least two of the dimensional charging characteristics, and a preset number of target charging piles are screened out from the candidate charging piles based on the comparison result.

3. The method according to claim 2, characterized in that The comparing the charging characteristics according to at least two dimensions and selecting a preset number of target charging piles from the candidate charging piles according to the comparison result includes: At least two of the dimensional charging characteristics are calculated according to a preset algorithm, and target charging piles with preset scores are selected from the candidate charging piles according to the calculation results.

4. The method according to claim 3, characterized in that The step of calculating the charging characteristics of at least two dimensions according to a preset algorithm and selecting target charging piles with preset scores from the candidate charging piles according to the calculation results includes: At least two of the dimensional charging characteristics are weighted according to a weighted algorithm, and the calculation results are normalized. According to the normalized calculation results, target charging piles with preset scores are screened out from the candidate charging piles.

5. The method according to any one of claims 2 to 4, characterized in that: The dimensional charging feature also includes a charging pile limited charging feature, and the comparison is performed based on at least two of the dimensional charging features, and a target charging pile is screened out from the candidate charging piles according to the comparison result, including: Compare the charging characteristics of one dimension, and select a preset number of target charging piles without charging restrictions from the candidate charging piles according to the comparison result; or, Comparison is performed based on at least two of the dimensional charging characteristics, and a preset number of target charging piles with no charging limit are screened out from the candidate charging piles based on the comparison result.

6. The method according to any one of claims 2 to 4, characterized in that: The method further comprises: After a preset number of target charging piles are screened out, the dimensional charging characteristics of the target charging piles are displayed.

7. The method according to any one of claims 2 to 4, characterized in that: The dimensional charging features are obtained in advance based on the collected charging data of the candidate charging piles, and include: Pre-acquire charging data of charging piles uploaded by at least two vehicles; The charging data is analyzed based on a preset analysis algorithm to obtain dimensional charging characteristics of each charging pile.

8. The method according to claim 7, characterized in that The step of analyzing the charging data based on a preset analysis algorithm to obtain the dimensional charging characteristics of each charging pile includes: Counting the average charging time of the charging pile according to the charging data, and determining the charging quantile of the charging pile according to the average charging time, wherein the charging quantile represents the charging speed; or, According to the charging data, the occurrence rate of insulation abnormality and the occurrence rate of limiting current failure of the charging pile are counted, and the average safety rate of the charging pile is determined according to the occurrence rate of insulation abnormality and the occurrence rate of limiting current failure of the charging pile, wherein the average safety rate represents the safety of the charging pile; or The occurrence rate of abnormal charging stop of the charging pile is counted according to the charging data, and the stability rate of the charging pile is determined according to the occurrence rate of abnormal charging stop of the charging pile, wherein the stability rate of the charging pile represents the stability of the charging pile.

9. A cloud server, characterized in that: The cloud server includes: A request receiving module, configured to receive a charging pile search request of a vehicle, wherein the charging pile search request carries vehicle location information and charging destination information; A candidate screening module, used to screen candidate charging piles according to the vehicle location information and the charging destination information; A feature acquisition module, used to acquire a dimensional charging feature of the candidate charging pile from the candidate charging pile, wherein the dimensional charging feature is obtained in advance based on the collected charging data of the candidate charging pile; A target screening module, used for comparing the charging characteristics according to the dimensions, and screening out a target charging pile from the candidate charging piles according to the comparison result; The information sending module is used to send the target charging pile to the vehicle so that the vehicle can generate charging navigation information after selection.

10. The cloud server according to claim 9, characterized in that: The cloud server also includes: A data acquisition module, used to pre-acquire charging data of charging piles uploaded by at least two vehicles; The data analysis module is used to analyze the charging data based on a preset analysis algorithm to obtain the dimensional charging characteristics of each charging pile.

11. A cloud server, characterized in that: include: processor; as well as A memory having executable codes stored thereon, which, when executed by the processor, causes the processor to execute the method according to any one of claims 1 to 8.

12. A computer-readable storage medium, characterized in that: An executable code is stored thereon, and when the executable code is executed by a processor of a server, the processor is caused to execute the method according to any one of claims 1 to 8.

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