CN118096300A

CN118096300A - Prediction method and prediction device for vehicle charging, vehicle and storage medium

Info

Publication number: CN118096300A
Application number: CN202410189730.4A
Authority: CN
Inventors: 邹斐; 郭美刚
Original assignee: Great Wall Motor Co Ltd
Current assignee: Great Wall Motor Co Ltd
Priority date: 2024-02-20
Filing date: 2024-02-20
Publication date: 2024-05-28

Abstract

The application provides a prediction method, a prediction device, a vehicle and a storage medium for vehicle charging. And when the current residual electric quantity of the target vehicle is in a preset range, predicting charging rule information of the target vehicle through multiple charging conditions of the target vehicle in a historical period. Specifically, the time law of charging of the target vehicle in the history period and the law of the charging environment in which the target vehicle is located, and the laws of the running parameters of the target vehicle during the two charging are predicted. Based on the current condition of the target vehicle (current time, current environment, and running parameters of the target vehicle in the target period) and the charging law information, it is determined whether the vehicle user has a charging demand. The charging time of the target vehicle history, the charging environment, and the running parameters of the target vehicle during the two charges have a direct impact on whether the current vehicle user has a charging demand. By adding the factors, whether the vehicle user has a charging requirement or not can be accurately predicted, and the charging behavior of the vehicle user can be determined.

Description

Prediction method and prediction device for vehicle charging, vehicle and storage medium

Technical Field

The present application relates to the field of vehicles, and more particularly, to a prediction method, a prediction apparatus, a vehicle, and a storage medium of vehicle charging in the field of vehicles.

Background

With the development of vehicle technology and the increasing importance of people on environmental protection and energy conservation, electric vehicles are receiving more and more attention and popularization as clean energy vehicles for replacing traditional fuel vehicles.

During use of an electric vehicle, a need to charge the electric vehicle through a charging peg in a charging station is encountered. Therefore, it is necessary to predict whether the vehicle user has a charging demand. By accurately predicting the charging behavior of a vehicle user, the vehicle can recommend a charging station (target charging station) with the best cost-effectiveness of a plurality of charging stations around the vehicle user in advance when the charging behavior indicates that the vehicle user has a charging demand.

Therefore, there is a need for a method for predicting vehicle charging to accurately predict whether a vehicle user has a charging requirement, so as to recommend a target charging station to the vehicle user when the vehicle user has the charging requirement, and improve the charging experience of the vehicle user to a certain extent.

Disclosure of Invention

The application provides a prediction method, a prediction device, a vehicle and a storage medium for vehicle charging, which can more accurately predict whether a vehicle user has a charging requirement.

In a first aspect, a method for predicting vehicle charging is provided, the method comprising: acquiring vehicle information, time information and environment information of a target vehicle when the target vehicle is charged for a plurality of times in the past preset days under the condition that the current residual electric quantity of the target vehicle is in a preset range; based on the vehicle information, time information and environment information during the multiple charging, predicting charging rule information of the target vehicle, wherein the charging rule information is used for indicating a time rule of charging the target vehicle and a rule of charging environment where the target vehicle is located in the past preset days, and a rule of running parameters of the target vehicle during the two charging; based on the charging law information, the current time, the current environment and the running parameters of the target vehicle in a target period, whether a vehicle user of the target vehicle has a charging requirement or not is determined, and the time difference between any time in the target period and the current time is smaller than a preset time.

According to the technical scheme, when the current residual electric quantity of the target vehicle is in the preset range, the charging rule information of the target vehicle is predicted according to the repeated charging conditions of the target vehicle in the historical period. Specifically, the time law of charging of the target vehicle in the history period and the law of the charging environment in which the target vehicle is located, and the laws of the running parameters of the target vehicle during the two charging are predicted. Further, it is determined whether the vehicle user has a charging demand based on the current situation of the target vehicle (the current time, the current environment, and the running parameter of the target vehicle for the target period) and the charging law information. The historical charging time, charging environment and driving parameters of the target vehicle during the two charging operations have a direct impact on whether the current vehicle user has a charging requirement. By adding the factors, whether the vehicle user has a charging requirement or not can be accurately predicted, and the charging behavior of the vehicle user can be accurately determined.

With reference to the first aspect, in some possible implementations, the vehicle information includes a total driving range, and predicting charging rule information of the target vehicle based on the vehicle information, time information, and environment information during the multiple charging includes: determining a mileage rule of the target vehicle, which is driven by the last charging distance of the next charging distance of the target vehicle, in the rule of the driving parameters based on the total driving mileage of the target vehicle during multiple times of charging; determining a time rule of the interval between the next charging distance of the target vehicle and the last charging time based on the time information of the target vehicle during multiple times of charging; and determining the rule of the target charging environment of the target vehicle when the charging times are greater than the first preset times based on the environment information of the target vehicle when the target vehicle is charged for multiple times.

In the above technical solution, in general, the mileage that the target vehicle can travel when charged once is fixed, so the method can determine the mileage law that the target vehicle travels during the two charging processes based on the total mileage of the target vehicle during the multiple charging processes. In some cases, the target vehicle is charged once at intervals, and thus, the method may determine a time law of the target vehicle between two charging periods based on time information of the target vehicle at times of charging. Typically, the charging environment of the target vehicle when it is being charged frequently is determined, and in some embodiments, the vehicle user may choose to charge the target vehicle on a sunny day, so the method may determine the law of the target charging environment in which the target vehicle is being charged frequently based on the environmental information of the target vehicle when it is being charged many times.

With reference to the first aspect and the foregoing implementation manner, in some possible implementation manners, determining whether a vehicle user of the target vehicle has a charging requirement based on the charging law information, the current time, the current environment, and the driving parameter of the target vehicle in the target period includes: determining a mileage difference between a current total mileage of the target vehicle and a total mileage of the target vehicle at a last time of charging in the running parameter, and a time interval between the current time and a time of the last time of charging of the target vehicle; under the condition that the mileage difference is greater than or equal to a first target mileage corresponding to the mileage rule, determining whether the vehicle user has a charging requirement or not based on the current environment of the current time and the target charging environment; and under the condition that the mileage difference is smaller than the first target mileage, determining whether the vehicle user has a charging requirement or not based on the current environment, the target charging environment, the time interval and a target time interval corresponding to the time rule.

In the technical scheme, the mileage difference between the current total driving mileage of the target vehicle and the total driving mileage of the target vehicle in the last charging and the time interval between the current time and the time of the last charging of the target vehicle are determined. After charging the target vehicle, the target vehicle has traveled a long driving distance, and in order to avoid that the target vehicle cannot be started, it is necessary to charge as soon as possible, so that it is affected that the target vehicle cannot be charged eventually and is affected only by the environment. Thus, when the mileage difference is large, the method determines whether the vehicle user has a charging demand based on the current environment of the current time and the target charging environment. After charging the target vehicle, the target vehicle has traveled a short driving range, but it is possible that the target vehicle is left on for a long time, and it is necessary to charge as soon as possible in order to avoid loss of electric power, so that it is affected that the target vehicle cannot be charged finally only by the time interval and the environment. Therefore, when the mileage difference is small, the method determines whether the vehicle user has a charging demand based on the current environment, the target charging environment, the time interval, and the target time interval corresponding to the time law.

With reference to the first aspect and the foregoing implementation manner, in some possible implementation manners, determining whether the vehicle user has a charging requirement based on the current environment of the current time and the target charging environment includes: determining whether the current environment matches the target charging environment; determining that the vehicle user has a charging demand if the current environment matches the target charging environment; in the event that the current environment does not match the target charging environment, it is determined that the vehicle user does not have a charging demand.

In the above technical solution, after the target vehicle is charged, the target vehicle has traveled a long driving distance, and in order to avoid that the target vehicle cannot be started, it is necessary to charge as soon as possible. Typically, a vehicle user will choose to charge the target vehicle on sunny days, but not on snowy and rainy days. The target charging environment is an environment suitable for charging the target vehicle. Thus, when the current environment matches the target charging environment, the method determines that the vehicle user has a charging demand; when the current environment does not match the target charging environment, the method determines that the vehicle user does not have a charging demand.

With reference to the first aspect and the foregoing implementation manner, in some possible implementation manners, determining that the vehicle user has a charging requirement in a case that the current environment matches the target charging environment includes: acquiring attribute information of the vehicle user under the condition that the current environment is matched with the target charging environment; and determining that the vehicle user has a charging requirement under the condition that the attribute information is preset information, wherein the preset information is used for indicating that the vehicle user prefers the residual electric quantity of the target vehicle to be larger than the preset electric quantity.

In the above technical solution, after the target vehicle is charged, the target vehicle has traveled a long driving distance, and in order to avoid that the target vehicle cannot be started, it is necessary to charge as soon as possible. In general, a vehicle user may choose to charge a target vehicle in sunny weather, and some female vehicle users or older vehicle users often choose to charge the target vehicle when the remaining power of the target vehicle is not too small. Therefore, the method determines that the vehicle user has a charging requirement when the attribute information of the vehicle user is preset information.

With reference to the first aspect and the foregoing implementation manner, in some possible implementation manners, determining whether the vehicle user has a charging requirement based on the current environment, the target charging environment, the time interval, and the target time interval corresponding to the time rule includes: determining whether the time interval is greater than or equal to the target time interval; executing a step of determining whether the vehicle user has a charging demand based on the current environment of the current time and the target charging environment, in a case where the time interval is greater than or equal to the target time interval; in the event that the time interval is less than the target time interval, it is determined that the vehicle user does not have a charging demand.

In the above technical solution, after the target vehicle is charged, the target vehicle has traveled a short driving distance, but the target vehicle may be parked for a long time (a long time interval), so that the target vehicle needs to be charged as soon as possible to avoid the loss of electric power, and therefore, the target vehicle cannot be charged finally and is only affected by the environment. That is, when the time interval is greater than or equal to the target time interval, the method determines whether the vehicle user has a charging demand based on the current environment of the current time and the target charging environment; when the time interval is less than the target time interval, the method determines that the vehicle user does not have a charging demand, and the target vehicle may not be charged with little loss of power from the target vehicle.

With reference to the first aspect and the foregoing implementation manner, in some possible implementation manners, in a case that the mileage difference is greater than or equal to a first target mileage corresponding to the mileage rule, determining whether the vehicle user has a charging requirement based on a current environment of the current time and the target charging environment includes: acquiring the time of purchasing the target vehicle or the type of a power battery in the target vehicle under the condition that the mileage difference is greater than or equal to the first target mileage; determining a second target mileage which can be travelled by the target residual capacity of the target vehicle after the charging is finished based on the current time and the time of purchase or the type of the power battery; determining whether the mileage difference is smaller than the second target mileage in the case that the second target mileage is larger than the first target mileage; under the condition that the mileage difference is smaller than the second target mileage, determining whether the vehicle user has a charging requirement or not based on the current environment, the target charging environment, the time interval and a target time interval corresponding to the time rule; in the case where the mileage difference is greater than or equal to the second target mileage, it is determined whether the vehicle user has a charging demand based on the current environment of the current time and the target charging environment.

In the above technical solution, in general, the closer the purchase time of the target vehicle is or the better the type of the power battery is, the longer the mileage that the target vehicle can travel when charging once. Accordingly, the method determines a second target mileage that the target vehicle can travel after charging to a target remaining amount of power based on the current time and a time of purchase of the target vehicle or a type of power battery. The method compares the first target mileage with the second target mileage; when the second target mileage is greater than the first target mileage, it is determined whether the mileage difference is less than the second target mileage, that is, the first target mileage is replaced with the second target mileage. The method determines whether the vehicle user has a charging demand based on a magnitude relationship between the mileage difference and the second target mileage. Therefore, the method introduces the influence of the performance factors of the power battery on the charging result, and can more accurately determine whether the vehicle user has a charging requirement.

With reference to the first aspect and the foregoing implementation manner, in some possible implementation manners, the method further includes: under the condition that the vehicle user has a charging requirement, based on travel behavior information of the vehicle user in the past preset days, predicting charging preference information of the vehicle user, wherein the charging preference information is used for indicating charging factors preferred by the vehicle user, and the charging factors are used for influencing the selection of charging stations by the vehicle user; based on the charging preference information and charging station information of a plurality of candidate charging stations around the target vehicle, charging stations of the plurality of candidate charging stations are recommended to the vehicle user.

According to the technical scheme, when a vehicle user has a charging requirement, namely, the vehicle user charges a target vehicle through a certain charging pile in a certain charging station, historical trip behavior information of the vehicle user is obtained. Based on the travel behavior information, charging preference information of the vehicle user is predicted. This is because there may be three situations for the target vehicle: there is no charging behavior, there is a very small number of charging behaviors (the number of charging is single digit), or a plurality of charging behaviors. For the first two of these three cases, the charging preference of the vehicle user may not be predicted accurately from the historical charging behavior information. Therefore, the scheme accurately acquires the charging preference information of the vehicle user by analyzing a large amount of travel behavior information of the vehicle user in the past preset days. And further reasonably recommending the charging stations to the vehicle user based on the charging preference information and the charging station information of the plurality of candidate charging stations. According to the scheme, the charging preference information of the vehicle user is accurately acquired, so that the recommended charging station can better meet the personalized charging requirement of the vehicle user.

In a second aspect, there is provided a prediction apparatus for vehicle charging, the apparatus comprising: the acquisition module is used for acquiring vehicle information, time information and environment information when the target vehicle is charged for a plurality of times in the past preset days under the condition that the current residual electric quantity of the target vehicle is in a preset range; the prediction module is used for predicting charging rule information of the target vehicle based on the vehicle information, time information and environment information during the multiple charging, wherein the charging rule information is used for indicating the time rule of the target vehicle charging and the rule of the charging environment where the target vehicle is located in the past preset days and the rule of the running parameters of the target vehicle running during the two charging; the determining module is used for determining whether a vehicle user of the target vehicle has a charging requirement or not based on the charging rule information, the current time, the current environment and the running parameters of the target vehicle in a target period, and the time difference between any time in the target period and the current time is smaller than a preset time.

With reference to the second aspect, in some possible implementations, the vehicle information includes a total driving range, and the prediction module is specifically configured to: determining a mileage rule of the target vehicle, which is driven by the last charging distance of the next charging distance of the target vehicle, in the rule of the driving parameters based on the total driving mileage of the target vehicle during multiple times of charging; determining a time rule of the interval between the next charging distance of the target vehicle and the last charging time based on the time information of the target vehicle during multiple times of charging; and determining the rule of the target charging environment of the target vehicle when the charging times are greater than the first preset times based on the environment information of the target vehicle when the target vehicle is charged for multiple times.

With reference to the second aspect and the foregoing implementation manner, in some possible implementation manners, the determining module is specifically configured to: determining a mileage difference between a current total mileage of the target vehicle and a total mileage of the target vehicle at a last time of charging in the running parameter, and a time interval between the current time and a time of the last time of charging of the target vehicle; under the condition that the mileage difference is greater than or equal to a first target mileage corresponding to the mileage rule, determining whether the vehicle user has a charging requirement or not based on the current environment of the current time and the target charging environment; and under the condition that the mileage difference is smaller than the first target mileage, determining whether the vehicle user has a charging requirement or not based on the current environment, the target charging environment, the time interval and a target time interval corresponding to the time rule.

With reference to the second aspect and the foregoing implementation manner, in some possible implementation manners, the determining module is specifically further configured to: determining whether the current environment matches the target charging environment; determining that the vehicle user has a charging demand if the current environment matches the target charging environment; in the event that the current environment does not match the target charging environment, it is determined that the vehicle user does not have a charging demand.

With reference to the second aspect and the foregoing implementation manner, in some possible implementation manners, the determining module is specifically further configured to: acquiring attribute information of the vehicle user under the condition that the current environment is matched with the target charging environment; and determining that the vehicle user has a charging requirement under the condition that the attribute information is preset information, wherein the preset information is used for indicating that the vehicle user prefers the residual electric quantity of the target vehicle to be larger than the preset electric quantity.

With reference to the second aspect and the foregoing implementation manner, in some possible implementation manners, the determining module is specifically further configured to: determining whether the time interval is greater than or equal to the target time interval; executing a step of determining whether the vehicle user has a charging demand based on the current environment of the current time and the target charging environment, in a case where the time interval is greater than or equal to the target time interval; in the event that the time interval is less than the target time interval, it is determined that the vehicle user does not have a charging demand.

With reference to the second aspect and the foregoing implementation manner, in some possible implementation manners, the determining module is specifically further configured to: acquiring the time of purchasing the target vehicle or the type of a power battery in the target vehicle under the condition that the mileage difference is greater than or equal to the first target mileage; determining a second target mileage which can be travelled by the target residual capacity of the target vehicle after the charging is finished based on the current time and the time of purchase or the type of the power battery; determining whether the mileage difference is smaller than the second target mileage in the case that the second target mileage is larger than the first target mileage; under the condition that the mileage difference is smaller than the second target mileage, determining whether the vehicle user has a charging requirement or not based on the current environment, the target charging environment, the time interval and a target time interval corresponding to the time rule; in the case where the mileage difference is greater than or equal to the second target mileage, it is determined whether the vehicle user has a charging demand based on the current environment of the current time and the target charging environment.

With reference to the second aspect and the foregoing implementation manner, in some possible implementation manners, the prediction module is further configured to predict, based on travel behavior information of the vehicle user in a preset number of days in the past, charging preference information of the vehicle user, where the charging preference information is used to indicate a charging factor preferred by the vehicle user, and the charging factor is used to affect selection of a charging station by the vehicle user; the apparatus further comprises: and a recommendation module configured to recommend charging stations of the plurality of candidate charging stations to the vehicle user based on the charging preference information and charging station information of the plurality of candidate charging stations around the target vehicle.

In a third aspect, a vehicle is provided that includes a memory and a processor. The memory is for storing executable program code and the processor is for calling and running the executable program code from the memory such that the vehicle performs the method of the first aspect or any of the possible implementations of the first aspect.

In a fourth aspect, a computer readable storage medium is provided, the computer readable storage medium storing executable program code which, when run on a computer, causes the computer to perform the method of the first aspect or any one of the possible implementations of the first aspect.

Drawings

FIG. 1 is a schematic illustration of a scenario in which a target vehicle is to be charged, provided by an embodiment of the present application;

FIG. 2 is a schematic flow chart of a method for predicting vehicle charging provided by an embodiment of the present application;

FIG. 3 is a block flow diagram of determining whether a vehicle user has a charging need according to an embodiment of the present application;

Fig. 4 is a schematic structural diagram of a vehicle charging prediction apparatus according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of a vehicle according to an embodiment of the present application.

Detailed Description

The technical scheme of the application will be clearly and thoroughly described below with reference to the accompanying drawings. Wherein, in the description of the embodiments of the present application, unless otherwise indicated, "/" means or, for example, a/B may represent a or B: the text "and/or" is merely an association relation describing the associated object, and indicates that three relations may exist, for example, a and/or B may indicate: the three cases where a exists alone, a and B exist together, and B exists alone, and furthermore, in the description of the embodiments of the present application, "plural" means two or more than two.

The terms "first," "second," and the like, are used below for descriptive purposes only and are not to be construed as implying or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature.

Fig. 1 is a schematic view of a scenario in which a target vehicle is to be charged according to an embodiment of the present application.

By way of example, a scenario in which a vehicle user is about to charge a target vehicle is described taking the target vehicle as a small electric vehicle a. Wherein the vehicle user is a user having control authority for the target vehicle. In some embodiments, the vehicle user is the owner of the target vehicle.

In some embodiments, the vehicle owner drives the small electric vehicle a on a road and receives a reminder of the excessive low remaining power of the small electric vehicle a. The vehicle owner searches for charging stations in the mobile phone or the target software on the vehicle-mounted system, and selects charging stations B arranged in the front position (the arrangement order of the charging stations is B, D, C) in the search result so as to charge the small electric vehicle a through the charging piles in the charging stations B.

Therefore, there is a need for a method for predicting vehicle charging to accurately predict whether a vehicle user has a charging requirement, so as to recommend a target charging station to the vehicle user when the vehicle user has the charging requirement, and improve the charging experience of the vehicle user to a certain extent. In order to solve the above problems, the present application proposes a prediction method of vehicle charging. The specific process can be seen in the steps shown in fig. 2.

Fig. 2 is a schematic flowchart of a method for predicting vehicle charging according to an embodiment of the present application.

It should be understood that the method for predicting vehicle charging provided in the embodiment of the present application may be applied to the target vehicle shown in fig. 1.

Illustratively, as shown in FIG. 2, the method 200 includes:

In step 201, in the case where the current remaining power of the target vehicle is in the preset range, the target vehicle acquires vehicle information, time information and environment information when the target vehicle is charged for a plurality of times in the past preset days.

It should be understood that the "current remaining capacity of the target vehicle" in the above-described step 201 refers to the current remaining capacity of the battery in the target vehicle. The target vehicle includes at least a power cell that provides a source of power for the vehicle. In some embodiments, the target vehicle is an electric vehicle or a hybrid electric vehicle.

It should also be appreciated that the "preset range" in step 201 is [ the first power threshold, the second power threshold ], the first power threshold is a smaller power value, and the second power threshold is a larger power value. In some embodiments, the first charge threshold is 20% of the total charge and the second charge threshold is 80% of the total charge. That is, when the current remaining power is within the preset range, it is impossible to directly determine whether the vehicle user has a charging requirement through the current remaining power. The present application determines whether the vehicle user has a charging demand through the schemes in steps 201 to 203.

It should also be understood that the "number of preset days in the past" in the above step 201 refers to a plurality of preset days before the current time based on the current time. The "vehicle information at charge" in step 201 includes the total travel distance of the vehicle at charge, the remaining power of the target vehicle at the start of charge, the remaining power after the end of charge, the temperature in the target vehicle at the time of charge, and the like. The "time information when the target vehicle is charged a plurality of times" in the above-described step 201 is used to describe the time when the target vehicle is charged. The "environment information when the target vehicle is charged a plurality of times" in the above-described step 201 is used to describe the environment in which the target vehicle is charged.

The determination process of the "current remaining amount of the target vehicle" is described in detail as follows.

In a possible implementation manner, the method for determining the current remaining power of the target vehicle in step 201 includes: the target vehicle determines the current residual electric quantity of the target vehicle through the residual electric quantity display value on the instrument panel of the target vehicle; the target vehicle obtains the voltage of the power battery through the voltmeter, and determines the product between the voltage and the capacity of the power battery as the current residual electric quantity of the target vehicle.

According to the technical scheme, the current residual capacity of the target vehicle is determined in a plurality of modes, so that the efficiency of determining the current residual capacity of the target vehicle can be improved, and the determination modes of the current residual capacity of the target vehicle are enriched.

The determination of the "first electric quantity threshold value and the second electric quantity threshold value" is described in detail as follows.

First kind: the historical charging times of the target vehicle are more or less, and the historical uncharged times are more or less

In a possible implementation manner, the method for determining the first power threshold and the second power threshold includes: the target vehicle determines the minimum residual capacity of a plurality of residual capacities corresponding to a plurality of first test vehicles when charging is started in the past preset days as the first electric capacity threshold; and the target vehicle determines the maximum remaining capacity of a plurality of remaining capacities corresponding to the plurality of second test vehicles started in the uncharged state within the preset days as the second electric capacity threshold.

It should be understood that, when the target vehicle is an electric vehicle or a hybrid electric vehicle and the vehicle user of the target vehicle has a charging requirement, the vehicle user charges the target vehicle through the charging post in the charging station, and the target vehicle should be in a stationary state because the position of the charging station is fixed. The target vehicle is often required to have a certain driving distance after starting, so the method is characterized in that the vehicle is not charged at the moment of starting.

It should also be appreciated that the first test vehicle (or the second test vehicle) includes the target vehicle; or, the first test vehicle (or the second test vehicle) does not include the target vehicle.

In the above technical solution, the first power threshold and the second power threshold are respectively determined based on a minimum remaining power of a plurality of remaining powers corresponding to the plurality of first test vehicles when charging is started and based on a maximum remaining power of a plurality of remaining powers corresponding to the plurality of test second vehicles when the plurality of test second vehicles are started in an uncharged state. The method can accurately determine the first electric quantity threshold value and the second electric quantity threshold value no matter when the historical charging times of the target vehicle are more or less and the historical uncharged times are more or less.

Second kind: the target vehicle has a large number of historical charging times and a large number of historical uncharged times

In a possible implementation manner, the method for determining the first power threshold and the second power threshold includes: the method comprises the steps that a target vehicle determines the charging times of the target vehicle in the preset days and the starting times of the target vehicle in an uncharged state in the preset days; under the condition that the charging times are larger than the third preset times, the target vehicle determines the minimum residual electric quantity in a plurality of residual electric quantities corresponding to the target vehicle when charging is started as the first electric quantity threshold; and under the condition that the starting times are larger than the fourth preset times, the target vehicle determines the maximum remaining capacity of a plurality of corresponding remaining capacities when the target vehicle is started in an uncharged state as the second electric quantity threshold.

It is to be understood that when the number of times of charging and the number of times of non-charging (the number of times of starting) of the target vehicle are large, the more accurate first and second power thresholds can be determined based on the remaining power of the target vehicle. Therefore, the "third preset times" and the "fourth preset times" in the above scheme are both larger values. In some embodiments, the third preset number of times is 20 and the fourth preset number of times is 25. The number of starts is also understood to be the number of times the vehicle is not charged.

In the above technical solution, the first power threshold and the second power threshold are respectively determined based on a minimum remaining power of a plurality of remaining powers corresponding to the target vehicle when charging is started, and based on a maximum remaining power of a plurality of remaining powers corresponding to the target vehicle when the target vehicle is started in an uncharged state. The method can accurately determine the first electric quantity threshold value and the second electric quantity threshold value when the historical charging times of the target vehicle are large and the historical uncharged times are large. In addition, since the method predicts the charging behavior of the vehicle user of the target vehicle, the first power threshold and the second power threshold can be more accurately determined according to the historical charging behavior or the historical non-charging behavior of the target vehicle, and the determined first power threshold and second power threshold are more suitable for the target vehicle.

The determination process of "the vehicle information, the time information, and the environment information when the target vehicle is charged a plurality of times in the past preset number of days" is described in detail as follows.

In some embodiments, the target vehicle in step 201 acquires vehicle information, time information, and environment information when the target vehicle is charged a plurality of times in the past preset days, including: the target vehicle determines the identification information of the target vehicle; and the target vehicle searches vehicle information, time information and environment information of the target vehicle when the target vehicle is charged for a plurality of times in the past preset days from the corresponding server through the identification information.

In some embodiments, the identification information is a vehicle account number of the target vehicle.

It should be appreciated that in the above scheme, the acquisition of the vehicle machine account number of the target vehicle is permitted by the vehicle user.

In some embodiments, the target vehicle determines that the server is a vehicle server if the identification information is a vehicle account of the target vehicle.

In some embodiments, the target vehicle determines identification information of the target vehicle, including: the target vehicle obtains a vehicle-to-vehicle account number of the target vehicle from a vehicle-to-vehicle system of the target vehicle.

Step 202, a target vehicle predicts charging rule information of the target vehicle based on the vehicle information, time information and environment information during the multiple charging, where the charging rule information is used to indicate a time rule of charging the target vehicle and a rule of charging environment where the target vehicle is located in the past preset days, and a rule of driving parameters of the target vehicle during the two charging.

It should be understood that the "time law of charging the target vehicle" in the above step 202 may be specifically understood as: the time that the target vehicle is charged in most cases, or the time between charging, describes the statistical law of the time that the target vehicle is charged. The "law of the charging environment in which the target vehicle is located" can be understood in particular as: the charging environment in which the target vehicle is in most cases charged is also described as a statistical law. The "law of the running parameters of the target vehicle during the two charges" can be understood specifically as: the driving parameters of the target vehicle during the two charging are also described as a statistical law.

It should also be appreciated that the "travel parameters" in step 202 above include the mileage and the number of hours of travel.

In a possible implementation manner, the vehicle information includes a total driving range, and the predicting, by the target vehicle in step 202, charging rule information of the target vehicle based on the vehicle information, time information, and environment information during the multiple charging includes: the method comprises the steps that a target vehicle determines a mileage rule of the target vehicle, which is driven by the next charging distance of the target vehicle to last charging, in the rule of the driving parameters based on the total driving mileage of the target vehicle during multiple charging; the target vehicle determines a time rule of the interval between the next charging distance and the last charging of the target vehicle based on the time information of the target vehicle during multiple times of charging; and the target vehicle determines the rule of the target charging environment of the target vehicle when the charging times are greater than the first preset times based on the environment information of the target vehicle when the target vehicle is charged for multiple times.

In some embodiments, the target vehicle determines a law of a target charging time at which the target vehicle is charged more than a second preset number of times based on time information of the target vehicle at the plurality of times of charging. This solution can be understood simply as the time for which the target vehicle is charged in most cases.

In some embodiments, the vehicle information includes a total number of hours of travel, and the target vehicle determines a law of the number of hours of travel between a next charge of the target vehicle and a last charge of the target vehicle based on the total number of hours of travel of the target vehicle over a plurality of charges.

It should be understood that the "mileage rule" in the above solution may be simply understood as that the vehicle user charges the target vehicle once every time the target vehicle travels the first target mileage. The term "time law" in the above-described scheme may be simply understood as that the vehicle user charges the target vehicle once every first period, or the vehicle user charges the target vehicle at the target charging time frequently. The "environmental law" in the above-described scheme can be simply understood as that the vehicle user charges the target vehicle when the target vehicle is often in the target charging environment.

It should be understood that the law of the running parameters of the target vehicle during the two charges includes the law of mileage and the law of the number of running hours the target vehicle is spaced from during the two charges (the law of the number of running hours the target vehicle is spaced from the last charge), which is specifically understood as: the number of hours of travel the target vehicle is spaced between during the two charges, also described is a statistical law. The "rule of the number of running hours of the target vehicle during the two charging" can be simply understood as the number of times the target vehicle runs per the target number of running hours, and the vehicle user charges the target vehicle once. In some embodiments, the target number of hours is 60 hours.

It is also to be understood that the difference between "the law of the number of running hours spaced by the target vehicle" and "the law of the time spaced during the two-charge" is that: the former describes the relationship between the total number of travel hours at the next charge of the target vehicle and the total number of travel hours at the last charge; the latter describes a relationship between the time when the target vehicle is charged next and the time when it is charged last (the time between charging).

In some embodiments, the first target mileage is 60km, the first period of time is 7 days, the target charging time is Saturday, and the target charging environment is outside temperature of 10-28 ℃ and sunny weather.

In step 203, the target vehicle determines whether the vehicle user of the target vehicle has a charging requirement based on the charging rule information, the current time, the current environment and the running parameters of the target vehicle in the target period, wherein the time difference between any one of the target periods and the current time is smaller than the preset time.

It should be understood that the above-described "whether the vehicle user has the charging demand" in step 203 includes that the vehicle user has the charging demand and that the vehicle user does not have the charging demand. By "a vehicle user has a charging demand" it is meant that the vehicle user is about to charge a target vehicle through a charging peg within a charging station. The vehicle user is a user having control authority for the target vehicle. In some embodiments, the vehicle user is the owner of the target vehicle.

It should also be appreciated that the "target period" in step 203 above may be simply understood as the latest period, which is a period of time that is latest to the current time.

In a possible implementation manner, the determining, by the target vehicle in step 203, whether the vehicle user of the target vehicle has a charging requirement based on the charging law information, the current time, the current environment and the driving parameter of the target vehicle in the target period includes: the target vehicle determines a mileage difference between a current total mileage of the target vehicle and a total mileage of the target vehicle at the time of last charging in the running parameters, and a time interval between the current time and a time at which the target vehicle was last charged; under the condition that the mileage difference is greater than or equal to a first target mileage corresponding to the mileage rule, the target vehicle determines whether the vehicle user has a charging requirement or not based on the current environment of the current time and the target charging environment; and under the condition that the mileage difference is smaller than the first target mileage, the target vehicle determines whether the vehicle user has a charging requirement or not based on the current environment, the target charging environment, the time interval and the target time interval corresponding to the time rule.

In one possible implementation, a target vehicle determines whether the vehicle user has a charging need based on a current environment of the current time and the target charging environment, comprising: a target vehicle determines whether the current environment matches the target charging environment; under the condition that the current environment is matched with the target charging environment, the target vehicle determines that the vehicle user has charging requirements; in the event that the current environment does not match the target charging environment, the target vehicle determines that the vehicle user does not have a charging demand.

In some embodiments, the target vehicle determining whether the current environment matches the target charging environment includes: the target vehicle determines the similarity between the feature vector corresponding to the current environment and the feature vector corresponding to the target charging environment; under the condition that the similarity is larger than or equal to the preset similarity, the target vehicle determines that the current environment is matched with the target charging environment; and under the condition that the similarity is smaller than the preset similarity, the target vehicle determines that the current environment is not matched with the target charging environment.

By way of example, taking the current environment as the outside temperature being 20 ℃ and the sunny weather, the target charging environment being the outside temperature being 10 ℃ to 28 ℃ and the sunny weather, and the preset similarity being 0.8 as an example, the process of whether the current environment is matched with the target charging environment is described. The target vehicle determines that the first similarity between the outside temperature is 20 ℃ and the sunny weather and the outside temperature is 10-28 ℃ and the sunny weather is 0.9. And the target vehicle judges that the first similarity is larger than the preset similarity, and determines that the current environment is matched with the target charging environment.

In one possible implementation, in a case where the current environment matches the target charging environment, the target vehicle determines that the vehicle user has a charging requirement, including: under the condition that the current environment is matched with the target charging environment, the target vehicle acquires attribute information of the vehicle user; and under the condition that the attribute information is preset information, the target vehicle determines that the vehicle user has a charging requirement, and the preset information is used for indicating that the vehicle user prefers the residual electric quantity of the target vehicle to be larger than the preset electric quantity.

It is to be understood that the "attribute information of the vehicle user" in the above-described aspects includes personal basic information of the vehicle user, such as sex, age, and the like. The charging requirements of vehicle users of different genders or different ages are different for the same remaining amount. Typically, a conservative vehicle user will charge the target vehicle when the remaining power is slightly low. And dangerous vehicle users often charge the target vehicle when the residual electric quantity is extremely low.

In some embodiments, the predetermined information is gender female or age greater than a predetermined age, the predetermined age being 40 years old.

In a possible implementation manner, the determining, by the target vehicle, whether the vehicle user has a charging requirement based on the current environment, the target charging environment, the time interval, and the target time interval corresponding to the time rule includes: the target vehicle determining whether the time interval is greater than or equal to the target time interval; in the case that the time interval is greater than or equal to the target time interval, the target vehicle performs a step of determining whether the vehicle user has a charging demand based on the current environment of the current time and the target charging environment; in the event that the time interval is less than the target time interval, the target vehicle determines that the vehicle user does not have a charging demand.

It should be appreciated that how much mileage the target vehicle has traveled and how many hours the target vehicle has traveled are all directly consumed by the target vehicle's power. Thus, for the question of whether the vehicle user of the target vehicle has a charging demand, the method 200 may determine whether the vehicle user has a charging demand based on the mileage factor and the number of hours of travel factor together, or alternatively, whether the vehicle user has a charging demand.

In some embodiments, in a case where the mileage difference is greater than or equal to a first target mileage corresponding to the mileage rule, the target vehicle determines whether the vehicle user has a charging requirement based on the current environment of the current time and the target charging environment, including: under the condition that the mileage difference is greater than or equal to a first target mileage corresponding to the mileage rule, the target vehicle determines a running hour difference between the current total running hour number of the target vehicle and the total running hour number of the target vehicle in the running parameter when the last time is charged; in the case where the running hours difference is greater than or equal to the target hours, the target vehicle determines whether the vehicle user has a charging demand based on the current environment of the current time and the target charging environment.

In another embodiment, the determining, by the target vehicle in step 203, whether the vehicle user of the target vehicle has a charging requirement based on the charging law information, the current time, the current environment, and the driving parameter of the target vehicle in the target period includes: the target vehicle determines a running hour number difference between the current total running hour number of the target vehicle and the total running hour number of the target vehicle when the target vehicle is charged last time in the running parameter; under the condition that the running hours difference is larger than or equal to the target hours, the target vehicle determines whether the vehicle user has a charging requirement or not based on the current environment of the current time and the target charging environment; and under the condition that the running hours are less than the target hours, the target vehicle determines whether the vehicle user has a charging requirement or not based on the current environment, the target charging environment, the time interval and the target time interval corresponding to the time rule.

In some embodiments, where the current environment matches the target charging environment, the target vehicle determines that the vehicle user has a charging demand, comprising: in the event that the current environment matches the target charging environment and the current time matches a target charging time, a target vehicle determines that the vehicle user has a charging demand.

It should be understood that "the current time matches the target charging time" in the above-described scheme may be understood as a day of the month, a day of the week, or an hour of the day of the week, both of the current time and the target charging time.

Fig. 3 is a block flow diagram of determining whether a vehicle user has a charging need according to an embodiment of the present application.

For example, as shown in fig. 3, the target vehicle determines a mileage difference between a current total mileage of the target vehicle and a total mileage of the target vehicle at the time of last charging among the running parameters, and a time interval between a current time and a time of last charging of the target vehicle. Under the condition that the mileage difference is larger than or equal to a first target mileage corresponding to the mileage rule, the target vehicle determines whether the current environment is matched with the target charging environment; under the condition that the current environment is matched with the target charging environment, the target vehicle determines that the vehicle user has charging requirements; in the event that the current environment does not match the target charging environment, the target vehicle determines that the vehicle user does not have a charging demand. In the case where the mileage difference is less than the first target mileage, the target vehicle determines whether the time interval is greater than or equal to the target time interval; executing a step of determining whether the current environment matches the target charging environment by a target vehicle if the time interval is greater than or equal to the target time interval; in the event that the time interval is less than the target time interval, the target vehicle determines that the vehicle user does not have a charging demand.

In a possible implementation manner, in a case where the mileage difference is greater than or equal to a first target mileage corresponding to the mileage rule, the target vehicle determines whether the vehicle user has a charging requirement based on the current environment of the current time and the target charging environment, including: under the condition that the mileage difference is greater than or equal to the first target mileage, the target vehicle obtains the time of purchase of the target vehicle or the type of the power battery in the target vehicle; the target vehicle determines a second target mileage which can be travelled by the target vehicle after the charging is finished based on the current time and the time of purchase or the type of the power battery; in the case that the second target mileage is greater than the first target mileage, the target vehicle determines whether the mileage difference is less than the second target mileage; under the condition that the mileage difference is smaller than the second target mileage, the target vehicle determines whether the vehicle user has a charging requirement or not based on the current environment, the target charging environment, the time interval and a target time interval corresponding to the time rule; in the case where the mileage difference is greater than or equal to the second target mileage, the target vehicle determines whether the vehicle user has a charging demand based on the current environment of the current time and the target charging environment.

It should be understood that "the second target mileage that the target vehicle can travel with the target remaining amount after the end of charging" in the above-described scheme may be understood as: the remaining power after the target vehicle is charged is a target remaining power, which can support a target mileage travelled by the target vehicle.

In some embodiments, the type of power cell includes any of a lithium ion cell, a nickel hydrogen cell, a fuel cell, a lead acid cell, a sodium sulfur battery, a lithium iron phosphate cell, and a lithium titanate cell. It should be appreciated that the ability of different power cells to store electrical energy is different from one type of power cell to another.

It should also be appreciated that the time of purchase may also affect the ability of the target vehicle to store electrical energy. In general, the earlier the purchase time, the worse the target vehicle's ability to store electrical energy; the closer the purchase time, the better the target vehicle's ability to store electrical energy.

In some embodiments, the target vehicle determines a second target mileage that the target vehicle can travel with a target remaining amount of power after the end of charging based on the current time, and the time of purchase or the type of the power battery, including: the target vehicle determines the time interval between the current time and the purchasing time as the purchasing time of the target vehicle; the target vehicle determines a target vehicle purchasing duration matched with the vehicle purchasing duration from a plurality of sample vehicle purchasing durations; and the target vehicle determines the driving mileage corresponding to the target vehicle purchasing time length in the target residual electric quantity state after the charging of the target vehicle is finished as the second target mileage.

It should be understood that there are multiple driving ranges corresponding to the time length of purchasing the vehicle in any remaining power state (the remaining power of the target vehicle after charging).

For example, the first target remaining power is 95% of the total power, the first vehicle purchasing duration is 2 years, and the corresponding first driving mileage is 60km; the second vehicle purchasing time is 4 years, and the corresponding second driving mileage is 55km.

Another example, the second target remaining power is 100% of the total power, the first vehicle purchase duration is 2 years, and the corresponding third driving distance is 65km; the second vehicle purchasing time is 4 years, and the corresponding fourth driving mileage is 58km.

In some embodiments, the method 200 further comprises: in the case that the second target mileage is less than the first target mileage, the target vehicle determines a first product between the second target mileage and a target coefficient; the target vehicle replaces the first target mileage with a difference between the first target mileage and the first product.

In some embodiments, the target coefficient is 0.2.

It should be appreciated that the target coefficient is positively correlated with a target mileage difference, which is the difference between the first target mileage and the second target mileage.

It should also be appreciated that the time of purchase of the target vehicle or the type of power battery may affect the first target mileage. In general, the earlier the purchase time or the worse the type of the power battery, the smaller the first target mileage should be; the closer the purchase time or the better the type of power battery, the greater the first target mileage should be. Since the target vehicle determines the second target mileage that the target vehicle can travel with the target remaining power after the end of charging based on the current time and the time purchase or the type of the power battery, the target vehicle can correct the first target mileage based on the second target mileage in the case that the second target mileage is smaller than the first target mileage.

The process of "recommending the target charging station to the vehicle user when the vehicle user has a charging demand" is described in detail as follows.

In a possible implementation, the method 200 further includes: under the condition that the vehicle user has a charging requirement, the target vehicle predicts charging preference information of the vehicle user based on travel behavior information of the vehicle user in the past preset days, wherein the charging preference information is used for indicating charging factors preferred by the vehicle user, and the charging factors are used for influencing the selection of a charging station by the vehicle user; the target vehicle recommends a charging station of a plurality of candidate charging stations to the vehicle user based on the charging preference information and charging station information of the plurality of candidate charging stations around the target vehicle.

It should be understood that "travel behavior information within the past preset days" in the above-described scheme may be simply understood as travel behavior information of the history of the vehicle user. The travel behavior information is used to determine charging factors (e.g., low charge cost or short charge distance or long charge time) preferred by the vehicle user, and is generally implemented based on a large amount of user information in order to improve accuracy of determining charging preference information of the vehicle user through the travel behavior information. Therefore, the data amount of the travel behavior information is large. In one possible implementation, the number of preset days may take a larger value. In some embodiments, the preset number of days is 180 days.

It should also be understood that "trip behavior information" in the above-mentioned scheme refers to all behavior information of the vehicle user during trip, including consumption behavior information and driving behavior information. In general, the preference of the vehicle user can be determined based on the behavior information of the vehicle user, and of course, the charging preference (charging preference information) of the vehicle user can also be determined.

It should be understood that "the charging factors for influencing the selection of the charging station by the vehicle user" in the above-described aspects include the charge fee, the charging distance, and the charging duration. The charging factors preferred by the vehicle user include low charging cost, short charging distance and long and short charging time.

It should be understood that "a plurality of candidate charging stations around the target vehicle" in the above-described aspects refers to a plurality of candidate charging stations at a preset distance from the target vehicle.

It should also be appreciated that the "charging stations of the plurality of candidate charging stations recommended to the vehicle user" in the above-described scheme has charging piles in an idle state. It should also be appreciated that the recommended charging station in the present application may be a real-time recommendation process.

In some embodiments, the preset distance is 2000m.

For example, when the consumption behavior information of the vehicle user indicates that the resource expenditure level (consumption level) of the vehicle user is lower than a preset level, the charging preference information favors the vehicle user to have a low charging cost.

In another example, the charging preference information is that the vehicle user prefers the charging time period when the travel behavior information indicates that the vehicle user selects the shortest travel time from among a plurality of navigation times to be greater than a fifth preset time.

In another example, the charging preference information is for the vehicle user to prefer a charging distance to be short when the travel behavior information indicates that the number of times the vehicle user selects the shortest travel route among a plurality of navigation is greater than a sixth preset number of times.

The determination process of the "travel behavior information" is described in detail as follows.

In some embodiments, the method for determining travel behavior information includes: under the condition that the vehicle user has a charging requirement, the target vehicle determines the identification information of the vehicle user; and the target vehicle searches the travel behavior information of the vehicle user from the corresponding server through the identification information.

According to the technical scheme, the target vehicle searches the travel behavior information of the vehicle user from the corresponding server through the identification information of the vehicle user. Because the identification information of the vehicle user can uniquely correspond to the travel behavior information of the vehicle user, the scheme can accurately determine the travel behavior information of the history of the vehicle user.

In some embodiments, the identification information is a car machine account number of the vehicle user or a mobile phone number of the vehicle user or an identification card number of the vehicle user.

It should be understood that in the above scheme, the license is passed by the vehicle user before the vehicle account number or the mobile phone number or the identification card number of the vehicle user is acquired.

In some embodiments, in the case where the identification information is a vehicle account number of the vehicle user, the target vehicle determines that the server is a vehicle server; under the condition that the identification information is the mobile phone number of the vehicle user, the target vehicle determines that the server is a system server of an operating system corresponding to the mobile phone number; and under the condition that the identification information is the identification card number of the vehicle user, the target vehicle determines that the server is a vehicle server or a system server.

In some embodiments, the target vehicle determines the identification information of the vehicle user, including any one of the following: the target vehicle acquires a vehicle-machine account number of the vehicle user from a vehicle-machine system of the target vehicle; and the target vehicle determines the mobile phone number of the vehicle user or the identification card number of the vehicle user through the binding information of the vehicle user on the vehicle system.

The determination process of the "charge preference information of the vehicle user" is described in detail as follows.

First kind

In a possible implementation manner, the target vehicle predicts charging preference information of the vehicle user based on travel behavior information of the vehicle user in the past preset days, and the method comprises at least one of the following steps: under the condition that the resource expenditure information in the travel behavior information indicates that the resource expenditure level of the vehicle user is lower than a preset level, the target vehicle determines that the charging preference information is biased to be low in charging cost for the vehicle user; when the travel behavior information indicates that the number of times that the vehicle user selects the shortest travel time in the multiple navigation is greater than a fifth preset number of times, the target vehicle determines that the charging preference information is the charging preference time of the vehicle user; and under the condition that the travel behavior information indicates that the shortest number of times of travel route selection by the vehicle user in multiple navigation is larger than the sixth preset number of times, the target vehicle determines that the charging preference information is that the vehicle user prefers the charging distance to be close.

It should be understood that the "travel time" in the above-described aspects refers to the time when the target vehicle travels on the road; the "travel route" refers to the length of the road on which the target vehicle travels during travel.

In the above technical solution, when the resource expense information in the travel behavior information indicates that the resource expense level of the vehicle user is lower than a preset level, the charging preference information is determined to be that the vehicle user prefers to have low charging cost. That is, by analyzing the resource expense information in the historical travel behavior information of the vehicle user, the resource expense condition of the vehicle user is evaluated, so that the resource expense grade of the vehicle user in the resource expense group is obtained, and the selection tendency of the vehicle user for high charging expense or low charging expense in the charging event is indirectly predicted. And determining that the charging preference information is short when the vehicle user prefers to charge under the condition that the travel behavior information indicates that the shortest time of the vehicle user in multiple navigation is greater than a fifth preset time. That is, the selection tendency of the vehicle user for the charge time length or the charge time length in the charge event is indirectly predicted based on the number of times the travel time length is selected among the historical navigation numbers of the vehicle user. And determining that the charging preference information is biased to the charging distance close for the vehicle user under the condition that the travel behavior information indicates that the shortest number of times of travel route selection of the vehicle user in multiple navigation is greater than a sixth preset number of times. That is, the selection tendency of the vehicle user for the short charging distance or the long charging distance in the charging event is indirectly predicted based on the number of times the travel route is selected among the historical navigation numbers of the vehicle user. In summary, the preference of a vehicle user for various charging factors during a charging event is discussed in some cases to help more accurately determine recommended charging stations for the vehicle user.

In some embodiments, the plurality of navigation is 30 navigation, the fifth preset number of navigation is 23 navigation, and the sixth preset number of navigation is 25 navigation.

Second kind

In some embodiments, the method 200 further comprises: under the condition that the vehicle user has a charging requirement, the target vehicle displays a first interface, and a plurality of selection controls are displayed on the first interface; the target vehicle responds to the selection operation of the vehicle user on a first control in the plurality of selection controls, and determines that the charging preference information is that the vehicle user corresponding to the first control prefers to have low charging cost; and/or, the target vehicle responds to the selection operation of the vehicle user on a second control in the plurality of selection controls, and determines that the charging preference information is that the vehicle user corresponding to the second control is biased to be close to the charging distance; and/or, in response to a selection operation of a third control in the plurality of selection controls by the vehicle user, determining that the charging preference information is the charging preference time duration of the vehicle user corresponding to the third control.

According to the technical scheme, the vehicle user selects the control from the first interface displayed by the target vehicle in a man-machine interaction mode so as to select the biased charging factors. The scheme can more directly and quickly determine the charging preference information of the vehicle user.

The process of "recommending charging stations to a vehicle user" is discussed in two ways below.

First kind:

In a possible implementation, the charging station information includes a plurality of charging distances between the target vehicle and the plurality of candidate charging stations, charging fees of the plurality of candidate charging stations, and a charging waiting period of the target vehicle when the plurality of candidate charging stations are charged, the target vehicle recommending charging stations of the plurality of candidate charging stations to the vehicle user based on the charging preference information and charging station information of the plurality of candidate charging stations around the target vehicle, including: the target vehicle determines cost performance scores of the plurality of candidate charging stations based on the plurality of charging distances, the charge fees of the plurality of candidate charging stations, and the charge waiting time periods when the plurality of candidate charging stations are charged; the target vehicle ranks the plurality of candidate charging stations according to the cost performance score to obtain a plurality of ranked candidate charging stations, and the ranking order of any candidate charging station is positively correlated with the cost performance score; the target vehicle recommends, based on the charging preference information, a charging station of a preset number of the plurality of the ranked charging station candidates that are ranked next to the front to the vehicle user.

It should be understood that "a plurality of charging distances between the target vehicle and the plurality of candidate charging stations" in the above-described aspects refers to: the target vehicle is at a charging distance from any one of a plurality of candidate charging stations. The "charge fees of the plurality of candidate charging stations" includes a charge unit price (fees per degree of electricity) of any one of the plurality of candidate charging stations and a hold-up fee (fees per hour) generated when the vehicle occupies the corresponding charging stake after full charge. "charge waiting time period when the target vehicle is charged at the plurality of candidate charging stations" refers to the shortest time period when the target vehicle can wait when charging at a certain charging post in the candidate charging stations for any one of the candidate charging stations.

It should also be appreciated that "the ranking of any one of the candidate charging stations is positively correlated with the cost performance score" in the above scenario may be understood as: the higher the cost performance score of a candidate charging station, the higher the ranking order of the candidate charging station. "recommend to the vehicle user a preset number of the plurality of ranked candidate charging stations with the ranking order being the front the" charging station in (c) "is a part of the candidate charging stations that recommend to the vehicle user that the plurality of candidate charging stations be more cost effective.

In the above technical solution, the charging factors that affect the selection of the charging stations by the vehicle user include a plurality of charging distances between the target vehicle and the plurality of candidate charging stations, charging costs of the plurality of candidate charging stations, and a charging waiting period of the target vehicle when the plurality of candidate charging stations are charged. The scheme determines cost performance scores of the plurality of candidate charging stations in a charging event based on three charging factors, namely the charging distances, the charging fees of the plurality of candidate charging stations and the charging waiting time when the plurality of candidate charging stations are charged. The plurality of candidate charging stations are ranked according to the cost performance scores, and partial candidate charging stations (the preset number of candidate charging stations) with higher cost performance can be screened out. The partial candidate charging stations are preferable in terms of three charging factors, namely, a charging distance, a charging cost or a charging waiting period. Based on the charging preference information of the vehicle user, charging stations of the preset number of candidate charging stations are recommended to the vehicle user. Therefore, the charging station recommended to the vehicle user by the scheme not only can meet the preference of the vehicle user on a certain charging factor, but also can obtain better cost performance on other charging factors.

In some embodiments, the preset number is 3.

The determination process of the "charging station information" is described in detail as follows.

In some embodiments, a method of determining a plurality of charging distances between the target vehicle and the plurality of candidate charging stations includes: for any one of the plurality of candidate charging stations, the target vehicle marks a first location of the target vehicle and a second location of the candidate charging station on a high-precision map; the target vehicle determines a distance of a shortest path between the first location and the second location as a charging distance between the target vehicle and the candidate charging station.

In some embodiments, the method for determining a charge waiting period of the target vehicle when the plurality of candidate charging stations are charged includes: for any one of the plurality of candidate charging stations, the target vehicle determines a travel duration required for the target vehicle to travel when the corresponding charging distance reaches the candidate charging station; when the driving time length is greater than or equal to a first time length, the target vehicle determines a charging waiting time length of the target vehicle when the candidate charging station is charged as a second time length, wherein the first time length is the shortest time length required when a plurality of charging piles in the candidate charging station are switched to an idle state; in the case where the travel time period is smaller than the first time period, the target vehicle determines a charge waiting time period of the target vehicle when the candidate charging station is charged as a time difference between the first time period and the travel time period.

It should be appreciated that the second duration in the above scenario is 0s. The proposal describes that when the travel time of the target vehicle when traveling from the first position to the second position (traveling the charging distance between the target vehicle and the candidate charging station) is longer than or equal to the first time period, that is, when the target vehicle arrives at the candidate charging station, there is a charging pile in an idle state in the candidate charging station, the target vehicle can be charged without waiting, and at this time, the charging waiting time period of the target vehicle when the candidate charging station is charged is 0s. When the driving duration is less than the first duration, that is, when the target vehicle arrives at the candidate charging station, the plurality of charging piles in the candidate charging station are all in an occupied state, the target vehicle needs to wait for a period of time to be charged, and the charging waiting duration is the time difference between the first duration and the driving duration.

In some embodiments, the target vehicle determines a length of travel required for the target vehicle to travel a corresponding charging distance to reach the candidate charging station, including any one of: the target vehicle obtains a current period, and determines the average duration required by a plurality of test vehicles when the corresponding charging distances of the travel of the test vehicles reach the candidate charging station in the historical current period as the travel duration required by the corresponding charging distances of the travel of the target vehicle reach the candidate charging station; the target vehicle determines a travel duration required for the target vehicle to travel a corresponding charging distance to reach the candidate charging station based on a road congestion degree when the target vehicle travels from the first position to the second position in the current period.

It should be understood that the "road congestion degree" in the above-described scheme refers to the number of vehicles passing through the road between the target vehicle and the candidate charging station for a period of time. In some embodiments, the road is congested with 3.6 vehicles/hour, and a vehicle can pass over the road every 1000 seconds.

According to the technical scheme, the driving time required by the driving corresponding charging distance of the target vehicle to reach the candidate charging station is obtained in two modes. Specifically, the target vehicle acquires a current period, and determines an average duration required for a plurality of test vehicles to travel corresponding charging distances in the current period of history to reach the candidate charging station as a travel duration required for the target vehicle to travel corresponding charging distances to reach the candidate charging station. That is, this is to infer the travel time length of the target vehicle based on the time length law of the travel of the plurality of test vehicles on the road in the history period. Or the target vehicle determines the driving duration required by the target vehicle when the corresponding charging distance of the target vehicle reaches the candidate charging station based on the road congestion degree when the target vehicle is driven from the first position to the second position in the current period. That is, this is to infer the travel time length of the target vehicle based on the road congestion degree of the road in the history period. In summary, the travel time period required for the target vehicle to travel to the candidate charging station can be accurately acquired in various ways.

The determination of the "cost performance scores of the plurality of candidate charging stations" is described in detail below.

In some embodiments, the target vehicle determines cost performance scores for the plurality of candidate charging stations based on the plurality of charging distances, the charge fees of the plurality of candidate charging stations, and the charge wait time period when the plurality of candidate charging stations are charged, comprising: the target vehicle normalizes the charging distances, the charging fees of the plurality of candidate charging stations and the charging waiting time when the plurality of candidate charging stations are charged respectively to obtain normalized charging distances, normalized charging fees and normalized charging waiting time; for any one of the plurality of candidate charging stations, the target vehicle determining a first product between a normalized charging distance between the target vehicle and the candidate charging station and a first weight; the target vehicle determining a second product between the normalized charge cost of the candidate charging station and a second weight; the target vehicle determining a third product between the normalized charge wait time period and a third weight of the candidate charging station; the target vehicle determining a cost performance score for the candidate charging station as a sum of the first product, the second product, and the third product; wherein the sum of the first weight, the second weight and the third weight is a first value.

It should be understood that normalization in the above scheme means converting the charging distance, the charging cost, and the charging wait time period into fractions between 0 and 1.

Wherein the first value in the above scheme is 1, the first weight is a contribution of the charging distance to the cost performance score of the candidate charging station, and optionally the first weight is 0.35. The second weight is a contribution of the charging cost to the cost performance score of the candidate charging station, optionally the second weight is 0.35. The third weight is a contribution of the charge waiting duration to the cost performance score of the candidate charging station, and optionally, the third weight is 0.3.

It should be appreciated that the first weight, the second weight, and the third weight in the above-described scheme may be adjusted based on actual traffic conditions. In some embodiments, where a partial charging station has a charging benefit, the second weight of the partial charging station may be appropriately reduced.

The normalization process is described below taking the plurality of charging distances as an example. The process of normalizing the charge fees of the plurality of candidate charging stations and the charge waiting time periods when the plurality of candidate charging stations are charged is similar to the process of normalizing the plurality of charging distances, and will not be described in detail herein.

In some embodiments, the target vehicle normalizes the plurality of charging distances, comprising: the target vehicle determining a maximum charging distance and a minimum charging distance of the plurality of charging distances; the target vehicle determines a first difference between the maximum charging distance and the minimum charging distance; for any charging distance of the plurality of charging distances, the target vehicle determines a ratio between a second difference value and the first difference value as the charging distance after the normalization of the charging distance, wherein the second difference value is a difference value between the charging distance and the minimum charging distance.

The process of "recommending a charging station to a vehicle user" is described in detail below.

In a possible implementation manner, the target vehicle recommends, to the vehicle user, a charging station of a preset number of candidate charging stations that are ranked ahead of the ranked plurality of candidate charging stations based on the charging preference information, including: in the case where the charging preference information is that the vehicle user prefers that the charging cost is low, the target vehicle recommends a charging station with the lowest charging cost among the preset number of candidate charging stations to the vehicle user; in the case that the charging preference information is that the vehicle user prefers to have a charging distance close, the target vehicle recommends a charging station with the smallest charging distance in the preset number of candidate charging stations to the vehicle user; in the case that the charging preference information is that the vehicle user prefers the charging time to be short, the target vehicle recommends a charging station with the smallest charging waiting time in the preset number of candidate charging stations to the vehicle user; when the charging preference information indicates that the vehicle user prefers to charge at a low charge cost and a short charge distance and a long charge time, the target vehicle recommends the charging station with the lowest ranking among the ranked plurality of candidate charging stations to the vehicle user.

In the above technical solution, it is described that charging stations among part of candidate charging stations with relatively high cost performance are recommended to the vehicle user when different charging preference information is used. Specifically, in the case where the charging preference information is that the vehicle user prefers that the charging cost is low, the charging station with the lowest charging cost among the preset number of candidate charging stations is recommended to the vehicle user. The scheme not only can meet the low-resource-expenditure crowd (vehicle users) preference of low charging cost, but also can obtain better cost performance on other charging factors (charging distance and charging waiting time). And recommending the charging station with the smallest charging distance in the preset number of candidate charging stations to the vehicle user when the charging preference information indicates that the vehicle user prefers the charging distance to be close. The scheme not only can meet the preference of a strong distance concept crowd (vehicle users) on a short charging distance, but also can obtain better cost performance on other charging factors (charging cost and charging waiting time). And recommending the charging station with the smallest charging waiting time in the preset number of candidate charging stations to the vehicle user under the condition that the charging preference information is that the vehicle user prefers the charging time to be short. The scheme not only can meet the preference of a strong time concept crowd (vehicle users) on the length of charging, but also can obtain better cost performance on other charging factors (charging cost and charging distance).

In some embodiments, in a case where the charging preference information is that the vehicle user prefers to have a charging time shorter, the target vehicle recommends to the vehicle user a charging station having a shortest charging wait period among the preset number of candidate charging stations, including: under the condition that the charging preference information is that the vehicle user prefers the charging time to be short, the target vehicle ranks the preset number of candidate charging stations according to the charging waiting time to obtain a ranked preset number of candidate charging stations, and the ranking order of any one of the ranked preset number of candidate charging stations is inversely related to the charging waiting time; the target vehicle traverses the sequenced preset number of candidate charging stations, and determines the charging station with the lowest charging cost in the sequenced preset number of candidate charging stations; in the case that the number of charging stations with the lowest charging cost is larger than the first number, the target vehicle recommends the charging station with the lowest charging cost and highest detention cost in the ordered preset number of candidate charging stations to the vehicle user; in the case where the number of charging stations with the lowest charge is equal to the first number, the target vehicle recommends to the vehicle user the charging station with the lowest charge from among the ranked preset number of candidate charging stations.

It should be understood that this first number is 1.

In the above technical solution, in general, a user with a strong time concept will have a strong time keeping spirit, so for a vehicle user with a bias to a charging time period, the vehicle user will not generally occupy the time of the corresponding charging post after filling when charging the target vehicle through the charging post. Therefore, if there are a plurality of charging stations with the lowest charge cost among the partial candidate charging stations with relatively high cost performance, the charging station with the lowest charge cost and the highest hold-up cost can be recommended to the vehicle user. Therefore, the charging station recommended to the vehicle user not only has higher cost performance, but also can meet the preference of the vehicle user on the charging factors with short charging time.

Second kind:

In a possible implementation manner, the charging preference information is further used to instruct the vehicle user to use the first charging station more than a seventh preset number of times, and the target vehicle recommends a charging station of the plurality of candidate charging stations to the vehicle user based on the charging preference information and charging station information of the plurality of candidate charging stations around the target vehicle, including: the target vehicle determining whether the first charging station is present in the plurality of candidate charging stations; when the first charging station exists in the plurality of candidate charging stations, the target vehicle adjusts the arrangement order of the first charging station to the most front order in the ordered plurality of candidate charging stations, and obtains the adjusted plurality of candidate charging stations; and the target vehicle displays the adjusted plurality of candidate charging stations on a second interface according to a preset display position, so that the vehicle user can check the recommended charging stations, and the ranking order of any one of the adjusted candidate charging stations is positively correlated with the display position.

It should be understood that "the charging preference information is further used to indicate that the number of times the vehicle user uses the first charging station is greater than the seventh preset number of times" in the above-described scheme may be simply understood as: the vehicle user goes to a charging station frequently in the past preset days. In some embodiments, the historical number of charges is 50 and the seventh preset number of charges is 45.

It should also be understood that "the ranking order of any one of the adjusted candidate charging stations is positively correlated with the display position" in the above-described scheme may be understood as: the more forward the ranking order of the adjusted candidate charging stations is, the more conspicuous the display position of the adjusted candidate charging stations on the second interface is. In some embodiments, the ranking order of the adjusted candidate charging stations is a first forward position and the display position of the adjusted candidate charging stations is a center position on the second interface.

In the above technical solution, the charging preference information is further used for indicating that the number of times the vehicle user uses the first charging station is greater than a seventh preset number of times, that is, the charging preference information is a charging station that the vehicle user frequently goes to. When a charging station frequently visited by a vehicle user exists in the plurality of candidate charging stations, the charging station is placed at the first position in the part of the candidate charging stations with higher cost performance, and the part of the candidate charging stations (the plurality of adjusted candidate charging stations) with higher cost performance are displayed on the second interface according to a preset display position. Because the ranking order of any one of the adjusted candidate charging stations is positively correlated with the display position, a part of the candidate charging stations with higher cost performance can be displayed in a more obvious position, and the charging stations frequently visited by the vehicle user can be displayed in the more obvious position, so that the vehicle user can conveniently acquire the recommended charging stations.

In some embodiments, the target vehicle displays the adjusted plurality of candidate charging stations after the second interface in accordance with the preset display position, the method 200 further comprising: the target vehicle responds to the selection operation of the vehicle user on the target candidate charging stations in the adjusted plurality of candidate charging stations, a third interface is displayed, and a second selection control is displayed on the third interface and is used for determining whether the vehicle user needs to navigate a route reaching the target candidate charging stations; and the target vehicle responds to the confirmation operation of the vehicle user on the second selection control, displays a target navigation route of the target vehicle to the target candidate charging station and performs voice broadcasting.

Fig. 4 is a schematic structural diagram of a vehicle charging prediction apparatus according to an embodiment of the present application.

Illustratively, as shown in FIG. 4, the apparatus 400 includes:

Acquisition module 401: the method comprises the steps of acquiring vehicle information, time information and environment information when a target vehicle is charged for a plurality of times in the past preset days under the condition that the current residual electric quantity of the target vehicle is in a preset range;

Prediction module 402: the method comprises the steps of predicting charging rule information of a target vehicle based on vehicle information, time information and environment information during multiple times of charging, wherein the charging rule information is used for indicating the time rule of charging the target vehicle and the rule of charging environment of the target vehicle in the past preset days and the rule of driving parameters of the target vehicle during two times of charging;

Determination module 403: and the method is used for determining whether a vehicle user of the target vehicle has a charging requirement or not based on the charging rule information, the current time, the current environment and the running parameters of the target vehicle in a target period, and the time difference between any time in the target period and the current time is smaller than a preset time.

Optionally, the vehicle information includes a total driving range, and the prediction module 402 is specifically configured to: determining a mileage rule of the target vehicle, which is driven by the last charging distance of the next charging distance of the target vehicle, in the rule of the driving parameters based on the total driving mileage of the target vehicle during multiple times of charging; determining a time rule of the interval between the next charging distance of the target vehicle and the last charging time based on the time information of the target vehicle during multiple times of charging; and determining the rule of the target charging environment of the target vehicle when the charging times are greater than the first preset times based on the environment information of the target vehicle when the target vehicle is charged for multiple times.

Optionally, the determining module 403 is specifically configured to: determining a mileage difference between a current total mileage of the target vehicle and a total mileage of the target vehicle at a last time of charging in the running parameter, and a time interval between the current time and a time of the last time of charging of the target vehicle; under the condition that the mileage difference is greater than or equal to a first target mileage corresponding to the mileage rule, determining whether the vehicle user has a charging requirement or not based on the current environment of the current time and the target charging environment; and under the condition that the mileage difference is smaller than the first target mileage, determining whether the vehicle user has a charging requirement or not based on the current environment, the target charging environment, the time interval and a target time interval corresponding to the time rule.

Optionally, the determining module 403 is specifically further configured to: determining whether the current environment matches the target charging environment; determining that the vehicle user has a charging demand if the current environment matches the target charging environment; in the event that the current environment does not match the target charging environment, it is determined that the vehicle user does not have a charging demand.

Optionally, the determining module 403 is specifically further configured to: acquiring attribute information of the vehicle user under the condition that the current environment is matched with the target charging environment; and determining that the vehicle user has a charging requirement under the condition that the attribute information is preset information, wherein the preset information is used for indicating that the vehicle user prefers the residual electric quantity of the target vehicle to be larger than the preset electric quantity.

Optionally, the determining module 403 is specifically further configured to: determining whether the time interval is greater than or equal to the target time interval; executing a step of determining whether the vehicle user has a charging demand based on the current environment of the current time and the target charging environment, in a case where the time interval is greater than or equal to the target time interval; in the event that the time interval is less than the target time interval, it is determined that the vehicle user does not have a charging demand.

Optionally, the determining module 403 is specifically further configured to: acquiring the time of purchasing the target vehicle or the type of a power battery in the target vehicle under the condition that the mileage difference is greater than or equal to the first target mileage; determining a second target mileage which can be travelled by the target residual capacity of the target vehicle after the charging is finished based on the current time and the time of purchase or the type of the power battery; determining whether the mileage difference is smaller than the second target mileage in the case that the second target mileage is larger than the first target mileage; under the condition that the mileage difference is smaller than the second target mileage, determining whether the vehicle user has a charging requirement or not based on the current environment, the target charging environment, the time interval and a target time interval corresponding to the time rule; in the case where the mileage difference is greater than or equal to the second target mileage, it is determined whether the vehicle user has a charging demand based on the current environment of the current time and the target charging environment.

Optionally, the prediction module 402 is further configured to predict, if the vehicle user has a charging requirement, charging preference information of the vehicle user based on travel behavior information of the vehicle user in a past preset number of days, where the charging preference information is used to indicate a charging factor preferred by the vehicle user, and the charging factor is used to affect selection of a charging station by the vehicle user; the apparatus 400 further comprises: and a recommendation module configured to recommend charging stations of the plurality of candidate charging stations to the vehicle user based on the charging preference information and charging station information of the plurality of candidate charging stations around the target vehicle.

For example, as shown in fig. 5, the vehicle 500 includes: the system comprises a memory 501 and a processor 502, wherein executable program code 503 is stored in the memory 501, and the processor 502 is used for calling and executing the executable program code 503 to execute a prediction method of vehicle charging.

In addition, the embodiment of the application also protects a device, which can comprise a memory and a processor, wherein executable program codes are stored in the memory, and the processor is used for calling and executing the executable program codes to execute the method for predicting the vehicle charging provided by the embodiment of the application.

In this embodiment, the functional modules of the apparatus may be divided according to the above method example, for example, each functional module may be corresponding to one processing module, or two or more functions may be integrated into one processing module, where the integrated modules may be implemented in a hardware form. It should be noted that, in this embodiment, the division of the modules is schematic, only one logic function is divided, and another division manner may be implemented in actual implementation.

In the case of dividing each function module by corresponding each function, the apparatus may further include an acquisition module, a prediction module, a determination module, a recommendation module, and the like. It should be noted that, all relevant contents of each step related to the above method embodiment may be cited to the functional description of the corresponding functional module, which is not described herein.

It should be understood that the apparatus provided in this embodiment is used to perform the above-described prediction method for vehicle charging, and thus the same effects as those of the above-described implementation method can be achieved.

In case of an integrated unit, the apparatus may comprise a processing module, a memory module. Wherein, when the device is applied to a vehicle, the processing module can be used for controlling and managing the action of the vehicle. The memory module may be used to support the vehicle in executing mutual program code, etc.

Wherein the processing module may be a processor or controller that may implement or execute the various illustrative logical blocks, modules, and circuits described in connection with the present disclosure. A processor may also be a combination of computing functions, including for example one or more microprocessors, digital Signal Processing (DSP) and microprocessor combinations, etc., and a memory module may be a memory.

In addition, the device provided by the embodiment of the application can be a chip, a component or a module, wherein the chip can comprise a processor and a memory which are connected; the memory is used for storing instructions, and when the processor calls and executes the instructions, the chip can be caused to execute the vehicle charging prediction method provided by the embodiment.

The present embodiment also provides a computer-readable storage medium having stored therein computer program code which, when run on a computer, causes the computer to execute the above-described related method steps to implement a vehicle charging prediction method provided in the above-described embodiments.

The present embodiment also provides a computer program product, which when run on a computer, causes the computer to perform the above-mentioned related steps to implement a vehicle charging prediction method provided by the above-mentioned embodiments.

The apparatus, the computer readable storage medium, the computer program product, or the chip provided in this embodiment are used to execute the corresponding method provided above, and therefore, the advantages achieved by the apparatus, the computer readable storage medium, the computer program product, or the chip can refer to the advantages of the corresponding method provided above, which are not described herein.

It will be appreciated by those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to perform all or part of the functions described above.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of modules or units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another apparatus, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.

Claims

1. A method of predicting vehicle charging, the method comprising:

Acquiring vehicle information, time information and environment information of a target vehicle when the target vehicle is charged for a plurality of times in the past preset days under the condition that the current residual electric quantity of the target vehicle is in a preset range;

Based on the vehicle information, time information and environment information during the multiple charging, predicting charging rule information of the target vehicle, wherein the charging rule information is used for indicating a time rule of charging the target vehicle and a rule of charging environment where the target vehicle is located in the past preset days, and a rule of running parameters of the target vehicle during the two charging;

And determining whether a vehicle user of the target vehicle has a charging requirement or not based on the charging rule information, the current time, the current environment and the running parameters of the target vehicle in a target period, wherein the time difference between any time in the target period and the current time is smaller than a preset time.

2. The method of claim 1, wherein the vehicle information includes a total driving range, and the predicting charging law information of the target vehicle based on the vehicle information, time information, and environmental information at the plurality of charging times includes:

Determining a mileage rule of the target vehicle, which is driven by the last charging distance of the next charging time, in the rules of the driving parameters based on the total driving mileage of the target vehicle during multiple times of charging;

Determining a time law of the interval between the next charging of the target vehicle and the last charging of the target vehicle based on time information of the target vehicle during multiple times of charging;

and determining the rule of a target charging environment of the target vehicle when the charging times are greater than the first preset times based on the environment information of the target vehicle when the target vehicle is charged for multiple times.

3. The method of claim 2, wherein the determining whether a vehicle user of the target vehicle has a charging demand based on the charging law information, a current time, a current environment, and a target period of travel parameters of the target vehicle comprises:

Determining a mileage difference between a current total mileage of the target vehicle and a total mileage of the target vehicle at the time of last charging in the driving parameters, and a time interval between the current time and a time of last charging of the target vehicle;

Determining whether the vehicle user has a charging requirement or not based on the current environment of the current time and the target charging environment under the condition that the mileage difference is greater than or equal to a first target mileage corresponding to the mileage rule;

And under the condition that the mileage difference is smaller than the first target mileage, determining whether the vehicle user has a charging requirement or not based on the current environment, the target charging environment, the time interval and the target time interval corresponding to the time rule.

4. The method of claim 3, wherein the determining whether the vehicle user has a charging need based on the current environment of the current time and the target charging environment comprises:

determining whether the current environment matches the target charging environment;

Determining that the vehicle user has a charging demand if the current environment matches the target charging environment;

And under the condition that the current environment is not matched with the target charging environment, determining that the vehicle user does not have charging requirements.

5. The method of claim 4, wherein the determining that the vehicle user has a charging demand if the current environment matches the target charging environment comprises:

Acquiring attribute information of the vehicle user under the condition that the current environment is matched with the target charging environment;

And under the condition that the attribute information is preset information, determining that the vehicle user has a charging requirement, wherein the preset information is used for indicating that the vehicle user prefers the residual electric quantity of the target vehicle to be larger than the preset electric quantity.

6. The method of claim 3, wherein the determining whether the vehicle user has a charging need based on the current environment, the target charging environment, the time interval, and the time regularly corresponding target time interval comprises:

determining whether the time interval is greater than or equal to the target time interval;

Executing the step of determining whether the vehicle user has a charging demand based on the current environment of the current time and the target charging environment, in a case where the time interval is greater than or equal to the target time interval;

and determining that the vehicle user does not have a charging requirement in the case that the time interval is smaller than the target time interval.

7. The method of claim 3, wherein the determining whether the vehicle user has a charging need based on the current environment of the current time and the target charging environment if the mileage difference is greater than or equal to a first target mileage corresponding to the mileage law, comprises:

acquiring the shopping time of the target vehicle or the type of a power battery in the target vehicle under the condition that the mileage difference is greater than or equal to the first target mileage;

Determining a second target mileage which can be travelled by the target residual electric quantity of the target vehicle after the charging is finished based on the current time and the time purchase or the type of the power battery;

determining whether the mileage difference is less than the second target mileage in the case that the second target mileage is greater than the first target mileage;

Determining whether the vehicle user has a charging requirement based on the current environment, the target charging environment, the time interval and a target time interval corresponding to the time law under the condition that the mileage difference is smaller than the second target mileage;

And determining whether the vehicle user has a charging requirement based on the current environment of the current time and the target charging environment in the case that the mileage difference is greater than or equal to the second target mileage.

8. The method according to any one of claims 1-7, further comprising:

Under the condition that the vehicle user has a charging requirement, based on travel behavior information of the vehicle user in the past preset days, predicting charging preference information of the vehicle user, wherein the charging preference information is used for indicating charging factors preferred by the vehicle user, and the charging factors are used for influencing the selection of a charging station by the vehicle user;

based on the charging preference information and charging station information of a plurality of candidate charging stations around the target vehicle, charging stations of the plurality of candidate charging stations are recommended to the vehicle user.

9. A prediction apparatus for vehicle charging, the apparatus comprising:

The acquisition module is used for acquiring vehicle information, time information and environment information when the target vehicle is charged for a plurality of times in the past preset days under the condition that the current residual electric quantity of the target vehicle is in a preset range;

The prediction module is used for predicting charging rule information of the target vehicle based on the vehicle information, time information and environment information during the multiple charging, wherein the charging rule information is used for indicating the time rule of the target vehicle charging and the rule of the charging environment of the target vehicle in the past preset days and the rule of the running parameters of the target vehicle during the two charging;

The determining module is used for determining whether a vehicle user of the target vehicle has a charging requirement or not based on the charging rule information, the current time, the current environment and the running parameters of the target vehicle in a target period, and the time difference between any time in the target period and the current time is smaller than a preset time.

10. A vehicle, characterized in that the vehicle comprises:

A memory for storing executable program code;

A processor for calling and running the executable program code from the memory, causing the vehicle to perform the method of any one of claims 1 to 8.

11. A computer readable storage medium, characterized in that the computer readable storage medium stores executable program code, which when executed, implements the method according to any of claims 1 to 8.