CN110329266B

CN110329266B - Method, device, terminal and storage medium for determining cruising mileage

Info

Publication number: CN110329266B
Application number: CN201910637124.3A
Authority: CN
Inventors: 任焱; 贾婷; 邢辉
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2019-07-15
Filing date: 2019-07-15
Publication date: 2021-12-14
Anticipated expiration: 2039-07-15
Also published as: CN110329266A

Abstract

The invention discloses a method, a device, a terminal and a storage medium for determining a cruising mileage, and belongs to the technical field of vehicles. The mileage adjustment model in the embodiment of the invention is obtained by training based on the historical driving data of the vehicle of the same type as the vehicle, and as for the vehicle of the same type, the historical driving data can reflect the condition of the cruising mileage in the real driving environment, so that the cruising mileage is predicted based on the mileage adjustment model obtained by training of the data, and more accurate prediction can be realized.

Description

Method, device, terminal and storage medium for determining cruising mileage

Technical Field

The invention relates to the technical field of vehicles, in particular to a method, a device, a terminal and a storage medium for determining cruising mileage.

Background

Vehicles have become indispensable vehicles for people to go out, but with the large amount of exploitation of fossil energy, the exploitation amount of petroleum declines year by year, and in addition, the pollution of automobile exhaust to the atmosphere becomes more serious. Therefore, the wide use of new energy vehicles will greatly alleviate these problems due to their electric non-pollution characteristics.

How to determine the cruising mileage of a new energy vehicle is always an important auxiliary function of people in the use process, the traditional measuring and calculating method is to place the vehicle on a roller frame to simulate resistance under different working conditions, and an air blower is used to simulate air flow conforming to the current vehicle speed. In the measuring and calculating process, all other loads (an air conditioner, a headlamp, a heating seat and the like) are in a closed state, and the cruising mileage of the current vehicle is obtained through a plurality of measuring and calculating cycles under various different theoretical working conditions. When in actual use, the vehicle can provide a charging reminding function for a user by combining the current residual capacity.

The method determines the cruising mileage under the ideal state that other loads are zero, so the result is closer to the upper limit value of the cruising mileage, a larger difference may exist between the cruising mileage and the cruising mileage under the actual working condition, and the problems of inaccuracy and low reliability exist in data.

Disclosure of Invention

The embodiment of the invention provides a method, a device, a terminal and a storage medium for determining a cruising mileage. The problem that intervention of a large number of user operations is needed and the intelligence is poor can be solved. The technical scheme is as follows:

in one aspect, a cruising range determining method is provided, and the method includes:

acquiring a first cruising mileage based on the first surplus of the target resource;

acquiring the current driving speed and driving habit data of a vehicle, road condition data of a road section on a current leading navigation route and load data of the vehicle;

inputting the current running speed, the driving habit data, the road condition data of the road section, the load data and the first cruising mileage into a mileage adjusting model, and outputting a second cruising mileage, wherein the mileage adjusting model is obtained by training based on historical running data of a vehicle of the same type as the vehicle.

In one aspect, there is provided a cruising range determining apparatus, the apparatus including:

the mileage acquisition module is used for acquiring a first cruising mileage based on the first surplus of the target resource;

the data acquisition module is used for acquiring the current driving speed and driving habit data of a vehicle, road condition data of a road section on a current leading navigation route and load data of the vehicle;

and the mileage adjusting module is used for inputting the current driving speed, the driving habit data, the road condition data of the road section, the load data and the first cruising mileage into a mileage adjusting model and outputting a second cruising mileage, and the mileage adjusting model is obtained by training based on historical driving data of the vehicle of the same type as the vehicle.

In one possible implementation, the driving habit data includes: recent hundred kilometers of resource consumption, cumulative average resource consumption;

the road condition data includes: road grade, road section congestion data and predicted passing time of the road section;

the load data includes: operating data of an air conditioner in the vehicle.

In one possible implementation, the apparatus further includes:

and the weather acquisition module is used for acquiring real-time weather data and inputting the real-time weather data into the mileage adjustment model.

In a possible implementation manner, the apparatus further includes a training module, configured to obtain sample data of the vehicle type, where the sample data includes driving speeds, driving habit data, road condition data of a driving road section, and load data of multiple vehicles of the vehicle type during driving; and training an initial linear regression model based on the sample data of the vehicle model, and taking the model obtained by training as the mileage adjusting model when the accuracy of the model obtained by training reaches a target accuracy.

In one possible implementation, the apparatus further includes:

the place acquisition module is used for inquiring according to the real-time positioning position of the vehicle to obtain at least one target resource supplementing place when the second cruising mileage is lower than the target mileage, and the route distance between each target resource supplementing place and the real-time positioning position is smaller than the second cruising mileage;

and the display module is used for displaying the inquired resource supplement place based on the navigation route.

In one possible implementation manner, the place acquisition module is configured to perform query according to the real-time positioning position of the vehicle to obtain at least one alternative resource supplement place, where each alternative resource supplement place is located within a target range of the real-time positioning position;

obtaining route distances of a plurality of driving routes according to the real-time positioning position and the at least one alternative resource supplementing place, wherein each driving route is used for indicating a navigation route between the real-time positioning position and one alternative resource supplementing place;

and deleting the alternative resource supplementing place with the route distance exceeding the second cruising range, and taking the rest alternative resource supplementing place as the at least one target resource supplementing place.

In one possible implementation, the apparatus further includes: the detection module is used for acquiring a second residual amount of the target resource when resource supplementation is started at any resource supplementation place; determining the resource consumption from the real-time positioning position to the resource supplementing place according to the second residual quantity and the first residual quantity; determining the actual unit consumption according to the resource consumption and the actual driving distance between the real-time positioning position and the resource supplementing place; and according to the actual unit consumption and the predicted unit consumption, carrying out accuracy detection on the second cruising range, wherein the predicted unit consumption is the ratio of the first residual quantity to the second cruising range.

In one aspect, a terminal is provided that includes one or more processors and one or more memories having at least one program code stored therein, the at least one program code being loaded and executed by the one or more processors to implement a range determination method as described above.

In one aspect, a computer readable storage medium having stored therein at least one program code, which is loaded and executed by a processor to implement a range determination method as described above, is provided.

The technical scheme provided by the embodiment of the invention has the beneficial effects that at least: the mileage adjustment model in the embodiment of the invention is obtained by training based on the historical driving data of the vehicle of the same type as the vehicle, and as for the vehicle of the same type, the historical driving data can reflect the condition of the cruising mileage in the real driving environment, so that the cruising mileage is predicted based on the mileage adjustment model obtained by training of the data, and more accurate prediction can be realized.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a block diagram of a resource service system 100 according to an embodiment of the present invention;

fig. 2 is a flowchart of a cruising range determining method according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of a cruising range determining apparatus according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of a terminal according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The GPS (Global Positioning System) is a System that performs Positioning and navigation in real time in a Global area, and can provide functions of vehicle Positioning, theft prevention, hijacking prevention, driving route monitoring, call command, and the like.

The target resource refers to a resource having a consumable property, for example, the target resource may be fuel of a motor vehicle, including gasoline, diesel oil, and the like, and of course, may also be some other resource, for example, for an electric vehicle, the target resource may refer to an electric power resource, and the like.

Fig. 1 is a block diagram of a resource service system 100 according to an embodiment of the present invention. The resource service system 100 includes: a terminal 110 and a resource services platform 140.

The terminal 110 is connected to the resource service platform 140 through a wireless network or a wired network. The terminal 110 may be or be a mobile terminal, for example, the mobile terminal may be at least one of a smartphone, a game console, a desktop computer, a tablet computer, an e-book reader, an MP3 player, an MP4 player, and a laptop portable computer. The terminal 110 is installed and operated with an application program supporting a resource service. The application program can be any one of a navigation program, a social application program, an instant messaging application program and an information sharing program. Illustratively, the terminal 110 is a terminal used by a user, and an application running in the terminal 110 may have a user account registered therein.

The terminal 110 is connected to the resource service platform 140 through a wireless network or a wired network.

The resource services platform 140 may include at least one of a server, a plurality of servers, a cloud computing platform, and a virtualization center. Optionally, the resource service platform 140 comprises: resource information server, user information database, map data database, etc. The resource information server is used for providing the terminal 110 with a path planning service. The resource information server can be one or more. When the resource information servers are multiple, at least two resource information servers exist for providing different services, and/or at least two resource information servers exist for providing the same service, for example, providing the same service in a load balancing manner, which is not limited in the embodiment of the present invention. The user information database is used for storing user information of the resource service platform, and the map data database is used for providing map data so as to provide functions of navigation and the like for the terminal subsequently. Of course, the resource services platform 140 may also include other functional servers to provide more comprehensive and diversified services.

The terminal 110 may be generally referred to as one of a plurality of terminals, and the embodiment is only illustrated by the terminal 110. Those skilled in the art will appreciate that the number of terminals described above may be greater or fewer. For example, the number of the terminal may be only one, or several tens or hundreds, or more, and in this case, the resource service system further includes other terminals. The embodiment of the invention does not limit the number of the terminals and the type of the equipment.

Fig. 2 is a flowchart of a cruising range determining method according to an embodiment of the present invention. The execution subject of the embodiment of the present invention is a terminal, and referring to fig. 2, the method includes:

201. and acquiring a first cruising mileage based on the first residual amount of the target resource.

Taking the carrier of the target resource as a vehicle as an example, the terminal may be a vehicle-mounted terminal, and the vehicle-mounted terminal may read the remaining amount of the target resource of the vehicle, and if the terminal is a mobile terminal having a communication connection with the vehicle-mounted terminal, the terminal may read the first remaining amount of the target resource of the vehicle through the vehicle-mounted terminal, which is not limited in the embodiment of the present invention.

One possible implementation manner of obtaining the first cruising range in step 201 includes: and acquiring the ratio of the first residual quantity to the resource consumption of the unit distance in the vehicle factory information as the first cruising mileage.

It is noted that, the remaining amount ratio of the target resource, which is the ratio of the remaining amount to the total capacity, can be directly read from the terminal, and when the remaining amount ratio is smaller than or equal to the target value, the following step 202 and step 210 can be continuously executed, so as to actively and timely remind the user to perform resource replenishment. For example, the target value may be 40%, or other values obtained based on experiments, which are not limited in the embodiments of the present invention.

In one possible implementation, for a certain type of vehicle, the ratio of the first remaining amount of the target resource, the first cruising range, and the remaining amount of the target resource may be as shown in table 1 below.

TABLE 1

The data name field is used for representing a data type, a value example can be a group of specific values obtained through experiments, a data format can indicate an expression format of the data, the necessity can be used for indicating the necessity of the data during data acquisition, and the smaller the number is, the higher the necessity is. In table 1 to table 5 below, the necessary value may be an integer greater than or equal to 0.

Of course, the data may be expressed in a form other than table 1 during data acquisition, which is not limited in the embodiment of the present invention.

202. The method comprises the steps of obtaining the current running speed and driving habit data of a vehicle, road condition data of a road section on a current leading navigation route and load data of the vehicle.

In step 202, the driving habit data includes: the recent hundred kilometers of resource consumption, the accumulated average resource consumption, and in addition, the driving habit data may further include: the accelerator depth and the brake depth are the depression distance of the accelerator pedal and the brake pedal controlled by the driver. Based on the current driving speed of the vehicle, the driving habit data may further include: average speed, maximum speed, running duration, idle time, acceleration time, deceleration time, uniform speed time, maximum acceleration, minimum acceleration, average acceleration of a deceleration section and average acceleration of an acceleration section.

In a possible implementation manner, the hundred kilometer resource consumption, the accumulated average resource consumption, the accelerator depth, the brake depth, the current driving speed, and the driving time may be obtained through driving data in a historical driving process stored on the terminal, and during each driving process, the information of the vehicle may be recorded and calculated based on the recorded information, for example, the information of the hundred kilometer resource consumption, the accumulated average resource consumption, the accelerator depth, and the brake depth may be averaged based on the recorded information and an actual driving time. The average speed, the maximum speed, the idle time, the acceleration time, the deceleration time, the uniform speed time, the maximum acceleration, the minimum acceleration, the average acceleration in the deceleration section, and the average acceleration in the acceleration section may be obtained based on related driving data in the current driving process, or may be obtained based on related driving data obtained by integrating the current driving process and a historical driving process, which is not limited in the embodiment of the present invention.

In one possible implementation, the driving habit data may be as shown in table 2.

TABLE 2

The data name, value example, data format and necessity are the same as the comments in table 1.

Of course, the driving habit data may be expressed by using a form other than table 2 during the data collection, which is not limited in the embodiment of the present invention.

In step 202, the traffic data includes: road grade, road segment congestion data, and expected transit time for a road segment. The road surface gradient refers to the deviation angle between the top surface of the road subgrade and the horizontal direction, the ascending slope is positive, the descending slope is negative, and when the road surface gradient is not zero, the accelerator depth, the braking depth and the real-time speed of the vehicle can be influenced to a certain extent. The road section congestion data refers to that when the vehicles are crowded in a section of road and the speed of the vehicles is slow, and the degree of the road congestion is too large, the starting and stopping frequency of the vehicles is increased. In addition, the traffic data may further include: road surface properties and road steering angle.

In one possible implementation, the road gradient, the congestion data of the road segment, the predicted passing time of the road segment, the road property and the road steering angle are obtained by: the terminal uploads the real-time positioning position of the vehicle to a navigation server, the navigation server obtains the road grade, the congestion data, the predicted passing speed, the road attribute and the road steering angle of the current road section based on the navigation route and the map data, and then the inquired road section information is returned to the terminal. The calculation process can be carried out in the terminal or in the navigation server, and then the predicted passing time of the road section is returned to the terminal.

It should be noted that the current real-time positioning position of the vehicle, that is, the real-time positioning position of the terminal, may be periodically obtained based on a GPS positioning system.

In one possible implementation, the traffic data may be as shown in table 3.

TABLE 3

Of course, the road condition data may be expressed in a form other than table 3 during the road condition data acquisition, which is not limited in the embodiment of the present invention.

In step 202, the load data includes operation data of the air conditioner in the vehicle, which may refer to an on state, a set temperature, and a current in-vehicle temperature. For example, when the air conditioner is turned on, the set temperature is lower than the temperature in the vehicle, and a certain load is added to the vehicle. In addition, the operation data of the air conditioner may further include: the state of an A/C (compressor), a manual sign of the A/C (compressor), an air conditioner circulation mode, an air conditioner air outlet mode, an air conditioner defrosting state, an air conditioner air volume gear, a main and auxiliary driving sub-control mode and a back-emptying turn-on state all of which have certain influence on the load. In addition, the load data may further include: tire pressure, headlight on state, seat heating state, seat pressure sensing (number of people), battery health state, vehicle driving age.

In a possible implementation manner, the load data can be obtained from background load data on a terminal in real time, the background of the terminal records the use condition of the load in the vehicle in real time, and the use conditions of different loads can be obtained at any time. For example, the air conditioner on state, the set temperature, the current temperature in the vehicle, the a/C (compressor) state, the a/C (compressor) manual flag, the air conditioner circulation mode, the air conditioner air-out mode, the air conditioner defrosting state, the air conditioner air volume gear, the primary and secondary driving sub-control mode and the rear evacuation regulation on state in the background of the vehicle can be obtained from the air conditioner unit in the background of the vehicle, the tire pressure can be obtained from the tire unit in the background of the vehicle, the headlamp on state can be obtained from the headlamp unit in the background of the vehicle, the seat heating state and the seat pressure sensor (number of people) can be obtained from the seat unit in the background of the vehicle, and the battery health state can be obtained from the battery unit in the background of the vehicle. It should be noted that the vehicle driving age may be obtained based on vehicle factory information, and a difference between the vehicle factory age and the experimental day age is the vehicle driving age.

In one possible implementation, the traffic data may be as shown in table 4.

TABLE 4

Of course, the load data may be expressed in a form other than table 4 during the load data collection, which is not limited in the embodiment of the present invention.

203. And acquiring real-time weather data.

Wherein the weather data includes: temperature outside the vehicle, wind speed, wind direction angle, road friction. The difference between the wind speed and the wind direction angle causes different wind resistances to the vehicle. The road friction refers to the smoothness of the road in the current weather, for example, when the road is dry, the road friction is large, and when the road is wet, frosted, snowed or sleet, the road friction is small.

In the embodiment of the present invention, the weather data may be acquired based on a certain condition. For example, the terminal sends the current real-time location position of the vehicle to the weather server, and requests to obtain the current weather information, and the weather server returns the weather data. By directly sending the acquisition request to the weather server by the terminal, signaling interaction steps can be reduced, thereby avoiding delay caused by signaling interaction.

For another example, the terminal sends the current real-time location position of the vehicle to the resource service platform, the resource service platform sends the current real-time location information of the vehicle and a request for obtaining current weather to the weather server, the weather server returns the weather information to the resource service platform, and finally the resource service platform returns the weather information to the terminal. The resource service platform sends the acquisition request to the meteorological server, so that the data processing amount of the terminal can be reduced, and the influence on the normal operation of the terminal is avoided.

In one possible implementation, the traffic data may be as shown in table 5.

TABLE 5

Of course, the load data may be expressed in a form other than table 5 during the load data collection, which is not limited in the embodiment of the present invention.

It should be noted that the acquisition of the weather data and the acquisition of the related data in step 202 may be performed simultaneously, or may be performed according to the current sequence, or step 203 may be performed first and then step 202 is performed, and the specific timing sequence adopted in the embodiment of the present invention is not limited.

204. Inputting the current driving speed, the driving habit data, the road condition data of the road section, the load data, the real-time weather data and the first cruising range into a range adjustment model, and outputting a second cruising range, wherein the range adjustment model is obtained based on the historical driving data training of the vehicle of the same type as the vehicle.

In a possible implementation manner, the mileage adjusting model may be stored in the terminal, and when data acquisition is completed, the acquired data set may be input to operate the mileage adjusting model, and a second cruising mileage may be output. By directly outputting the mileage adjustment model based on the terminal, the steps of network interaction can be avoided, signaling interaction is reduced, and time delay possibly caused by the signaling interaction is avoided.

In another possible implementation manner, the mileage adjustment model may be stored in a resource service platform, and when data acquisition is completed, the terminal transmits the data set to the resource service platform, and the resource service platform operates the mileage adjustment model, outputs a second cruising mileage, and transmits the second cruising mileage to the terminal. The processing process of the model to the data is transferred to the resource service platform to be carried out, so that the data processing amount of the terminal can be reduced, and the influence on the normal operation of the terminal is avoided.

The mileage adjustment model is obtained in the following manner: under the same vehicle type, all the data sets obtained in the

step

201 and 203 are recorded as x according to different constraint conditions_iSolving the objective function f (x)_i)＝EnduranceMile_iAnd the value range of i is a positive integer which is more than or equal to 1, and the value range is used as each parameter of the mileage adjusting model based on the parameters obtained by solving so as to obtain the trained mileage adjusting model. In one possible implementation, the training process of the mileage adjusting model includes: obtaining sample data of the vehicle type, wherein the sample data comprises the running process of a plurality of vehicles of the vehicle typeThe driving speed, driving habit data, road condition data and load data of a driving road section; and training the initial linear regression model based on the sample data of the vehicle model, and taking the model obtained by training as the mileage adjusting model when the accuracy of the model obtained by training reaches the target accuracy.

For example, all data sets obtained in

step

201 and 203 are input as i groups of features. Principal Component Analysis (PCA) is carried out on the input full characteristic quantity, an orthogonal characteristic space is constructed, and mean filling is carried out on the missing value. Let the feature space χ (χ) be equal for different i₁；χ₂；...；χ_d) And d is 48, the formula is as follows: EM (χ) ═ ω^Tχ + b. Training solution to ω ═ ω (ω ═ ω [)₁；ω₂；...；ω_d) And b, training the i groups of cruising mileage models together, wherein i is the number of the accessed vehicles. Based on the specific χ, the model output is a set of second cruising ranges based on different route plans, the accuracy of the second cruising ranges being 0.1 km. When the accuracy of the trained model is greater than the target accuracy, the trained model is used as the mileage adjusting model, wherein the target accuracy may be 80%, or may be other values obtained based on experiments.

It should be noted that, in the vehicle cold start phase, the data acquired in

step

201 and 203 at least includes the first remaining resource amount of the target resource and the first cruising range, and the remaining data may be acquired step by step. Wherein the cold start of the vehicle refers to a case where the vehicle does not have any history of traveling data or does not have enough history of traveling data at the time of start.

In addition, the mileage adjusting model can also accept characteristic dimension loss and real-time characteristic loss of vehicles of different vehicle types in different degrees. The characteristic dimension loss means that a vehicle of a certain vehicle type lacks certain data, for example, if an air conditioner of a certain vehicle type does not have a primary and secondary driving temperature sub-control function, the characteristic dimension loss of the primary and secondary driving temperature sub-control mode is considered. In addition, the absence of real-time feature refers to that data of a certain dimension cannot be acquired due to some conditions, for example, weather data cannot be acquired due to a network problem, and the condition at this time may be referred to as absence of real-time feature value.

In the embodiment of the present invention, the outputting the second cruising mileage may refer to displaying the second cruising mileage value on a display screen of the terminal to remind a driver of a cruising condition of the current vehicle, and in another possible implementation manner, the second cruising mileage value may be broadcasted by a microphone of the vehicle, in order to ensure driving safety of the vehicle and achieve a purpose of timely reminding, the terminal may detect whether the current driving speed is greater than a preset speed, and if the current driving speed is greater than the preset speed, the second cruising mileage value is broadcasted while displaying, so that the driver may know the current second cruising mileage without actively checking the display screen.

According to the method provided by the embodiment of the invention, the mileage adjusting model is obtained by training based on the historical driving data of the vehicle of the same type as the vehicle, and as for the vehicle of the same type, the historical driving data can reflect the condition of the cruising mileage in the real driving environment, so that the cruising mileage is predicted based on the mileage adjusting model obtained by training of the data, more accurate prediction can be realized, and further driving auxiliary functions such as resource service and the like can be provided based on the prediction.

In a possible implementation manner, after the second cruising range is output, the driver may be provided with further resource services, such as resource supplement prompting, entrance suggestion and entrance navigation of the target resource supplement location, and the detailed process may be referred to in

step

205 and 206 below.

205. And when the second cruising mileage is lower than the target mileage, inquiring according to the real-time positioning position of the vehicle to obtain at least one target resource supplementing place, wherein the route distance between each target resource supplementing place and the real-time positioning position is smaller than the second cruising mileage.

The target mileage is a preset value capable of ensuring normal operation of the vehicle, and when the second cruising mileage is lower than the target mileage, the vehicle may be anchored midway. Therefore, in order to avoid the vehicle being stranded halfway, when the second cruising range is lower than the target range, the query of the target resource replenishment place within the target range can be automatically started.

In one possible implementation, when obtaining the target resource replenishment location information, the obtaining may be performed based on some condition, for example, when the terminal already stores a certain common route, at least one target resource replenishment location may be directly obtained from the local. For another example, the terminal does not store the route information, and needs to send the real-time location position of the vehicle to the resource service platform, and the resource service platform queries at least one target resource replenishment location within the target range and returns the at least one target resource replenishment location to the terminal.

In one possible implementation, the specific process of querying to obtain the target resource replenishment site may include the following steps 205A to 205C:

step 205A, inquiring according to the real-time positioning position of the vehicle to obtain at least one alternative resource supplementing place, wherein each alternative resource supplementing place is located in the target range of the real-time positioning position.

The target resource supplementing place can provide a supplementing service of the target resource for the vehicle, for example, when the target resource is electric power, the target resource supplementing place can be a charging pile.

In the embodiment of the present invention, the target scope is used to limit the positions of the alternative resource supplementary sites, so that only one alternative resource supplementary site in a close range can be acquired, thereby reducing redundant display of data. For each alternative resource supplementing place, the geographic position of the alternative resource supplementing place is correspondingly stored, and screening can be performed based on the geographic position and the real-time positioning position to obtain at least one alternative resource supplementing place.

Step 205B, obtaining route distances of a plurality of driving routes according to the real-time positioning position and the at least one alternative resource supplementing place, wherein each driving route is used for indicating a navigation route between the real-time positioning position and one alternative resource supplementing place.

When the at least one alternative resource supplementing place is obtained, a driving route from the real-time positioning position to each alternative resource supplementing place can be obtained according to the geographic position and the real-time positioning position of each alternative resource supplementing place, of course, for one alternative resource supplementing place, a plurality of driving routes can be generated during route planning, and the driving route with the shortest route distance or shortest time consumption in the plurality of driving routes can be used as the driving route between the alternative resource supplementing place and the real-time positioning position.

It is noted that the route distance refers to an actual driving distance from the real-time positioning location to the at least one candidate resource replenishment location, not a straight-line distance, and the route distance may be calculated by summing lengths of road segments on the planned driving route.

And step 205C, deleting the alternative resource supplementary sites with the route distance exceeding the second cruising range, and taking the remaining alternative resource supplementary sites as the at least one target resource supplementary site.

In step 205C, the alternative resource replenishment location where the route distance exceeds the second cruising range is deleted, so that the problem of possible mid-course anchoring caused by insufficient remaining amount of the target resource can be avoided, and the prompting accuracy of resource replenishment is higher and the realizability is stronger.

The above steps 205A to 205C are performed to query according to the real-time location position of the vehicle to obtain one possible implementation manner of at least one target resource supplementing location, and in some other possible implementation manners, the resource supplementing location may be screened in combination with the business hours, evaluation information, and the like of the location to obtain an optimal entrance suggestion. In one possible implementation, the business hours and the evaluation information of the resource supplementing location may be used as references, the business hours and the evaluation information may be obtained together when the information of the at least one target resource supplementing location is obtained, the business hours may be compared with the current time (or the expected arrival time) when the business hours of the alternative resource supplementing locations are obtained, and the resource supplementing location may be deleted if the alternative resource supplementing location is not already in the business state at the current time or the expected arrival time. For another example, resource supplementing devices in some resource supplementing locations are prone to failure, so that the evaluation information thereof has a low score, and when the scores of the candidate resource supplementing locations are obtained, the scores can be compared with the target scores, and the resource supplementing locations with the scores lower than the target scores can be deleted.

206. And displaying the inquired resource supplement place based on the navigation route.

In step 206, after the terminal acquires the at least one target resource supplementary location, it may mark the target resource supplementary location on the navigation route for the driver to select a suitable target resource supplementary location.

In a possible implementation manner, the terminal may number the target resource supplementing location according to a route distance between the at least one target resource supplementing location and the real-time positioning location, based on a way that the route distance is from long to short, the larger the route distance is, the larger the number of the target resource supplementing location is, when the target resource supplementing location is displayed on the navigation route, the number may be displayed at the same time, so that the driver can more clearly know the location of the nearby target resource supplementing location, and make an accurate route plan.

It should be noted that, when the number of the selectable target resource replenishment places is 1 and the distance of the route from the next target resource replenishment place is greater than the second cruising range, a highlight mark may be made on the navigation route to prompt the driver that the unique target resource replenishment place is the unique target resource replenishment place, for example, the unique target resource replenishment place may be marked as an exclamation mark or a red mark to achieve the purpose of highlighting.

In order to improve the accuracy of the adjustment of the mileage adjustment model, whether the adjustment performed by the mileage adjustment model is accurate may be detected and fed back, that is, the method may further include the following step 207-.

207. When resource replenishment is started at any resource replenishment place, a second remaining amount of the target resource is acquired.

In the embodiment of the invention, when the terminal detects that the vehicle enters any resource supplementing place and stops and extinguishes, the residual quantity of the target resource in the vehicle target resource storage device is read, namely the second residual quantity of the target resource.

208. And determining the resource consumption from the real-time positioning position to the resource supplementing place according to the second residual quantity and the first residual quantity.

Wherein the resource consumption may be a difference between the first remaining amount and the second remaining amount, the resource consumption being a total amount of resources consumed during the actual driving, the resource consumption determined in this way being more accurate than recording the resource consumption read by the terminal during the driving.

209. And determining the actual unit consumption according to the resource consumption and the actual driving distance between the real-time positioning position and the resource supplementing place.

The actual unit consumption may be a ratio of the resource consumption to the actual travel distance, and the actual unit consumption refers to an average resource consumption per kilometer, and may be more representative by using an average calculation.

210. And carrying out accuracy detection on the second cruising range according to the actual unit consumption and the predicted unit consumption, wherein the predicted unit consumption is the ratio of the first residual quantity to the second cruising range.

The accuracy detection means detecting a deviation between an actual unit consumption and a predicted unit consumption, when the deviation is smaller than a target deviation, a prediction result of the cruising mileage can be considered to be accurate, and when the deviation is larger than the target deviation, the driving data and the deviation of the driving process can be used as feedback information to feed back the mileage adjustment model, so that the mileage adjustment model can be updated according to a real driving scene. For example, the target deviation may be 5%, and the embodiment of the present invention does not limit specific values.

In addition to the detection and feedback method for the mileage adjustment model mentioned in step 207-. The target deviation may be 1km, and the specific value is not limited in the embodiment of the present invention.

Fig. 3 is a schematic structural diagram of a cruising range determining apparatus according to an embodiment of the present invention. Referring to fig. 3, the apparatus includes:

a mileage acquiring module 301, configured to acquire a first cruising mileage based on a first remaining amount of a target resource;

the data acquisition module 302 is configured to acquire a current driving speed and driving habit data of a vehicle, road condition data of a road segment on a current leading navigation route, and load data of the vehicle;

the mileage adjusting module 303 is configured to input the current driving speed, the driving habit data, the road condition data of the road segment, the load data, and the first cruising range into a mileage adjusting model, and output a second cruising range, where the mileage adjusting model is obtained by training based on historical driving data of a vehicle of the same type as the vehicle.

the traffic data includes: road grade, road section congestion data and predicted passing time of the road section;

the load data includes: operating data of an air conditioner in the vehicle.

In one possible implementation, the apparatus further includes:

In a possible implementation manner, the device further includes a training module, configured to obtain sample data of the vehicle type, where the sample data includes driving speeds, driving habit data, road condition data of a driving road section, and load data of multiple vehicles of the vehicle type during driving; and training the initial linear regression model based on the sample data of the vehicle model, and taking the model obtained by training as the mileage adjusting model when the accuracy of the model obtained by training reaches the target accuracy.

In one possible implementation, the apparatus further includes:

the place acquisition module is used for inquiring according to the real-time positioning position of the vehicle when the second cruising mileage is lower than the target mileage to obtain at least one target resource supplementing place, and the route distance between each target resource supplementing place and the real-time positioning position is smaller than the second cruising mileage;

In one possible implementation manner, the location acquisition module is configured to perform query according to the real-time positioning location of the vehicle to obtain at least one alternative resource supplementing location, where each alternative resource supplementing location is located within a target range of the real-time positioning location;

In one possible implementation, the apparatus further includes: the detection module is used for acquiring a second residual amount of the target resource when resource supplementation is started at any resource supplementation place; determining the resource consumption from the real-time positioning position to the resource supplementing place according to the second residual quantity and the first residual quantity; determining the actual unit consumption according to the resource consumption and the actual driving distance between the real-time positioning position and the resource supplementing place; and carrying out accuracy detection on the second cruising range according to the actual unit consumption and the predicted unit consumption, wherein the predicted unit consumption is the ratio of the first residual quantity to the second cruising range.

It should be noted that: the cruising range determining apparatus provided in the above embodiment is exemplified by only the division of the above functional modules when determining the cruising range, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the cruising range determining apparatus and the cruising range determining method provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in detail in the method embodiments and are not described herein again.

Fig. 4 is a schematic structural diagram of a terminal according to an embodiment of the present invention. The terminal 400 may be any vehicle-mounted terminal, and of course, may also be a smart phone, a tablet computer, an MP3(Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3) player, an MP4(Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4) player, a notebook computer, or a desktop computer. The terminal 400 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, etc.

Generally, the terminal 400 includes: a processor 401 and a memory 402.

Processor 401 may include one or more processing cores, such as a 4-core processor, an 8-core processor, or the like. The processor 401 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 401 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 401 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed by the display screen. In some embodiments, the processor 401 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.

Memory 402 may include one or more computer-readable storage media, which may be non-transitory. Memory 402 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 402 is used to store at least one program code for execution by processor 401 to implement the range determination method provided by method embodiments of the present invention.

In some embodiments, the terminal 400 may further optionally include: a peripheral interface 403 and at least one peripheral. The processor 401, memory 402 and peripheral interface 403 may be connected by bus or signal lines. Each peripheral may be connected to the peripheral interface 403 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of a communication circuit 404, a display screen 405, and an audio circuit 406.

The peripheral interface 403 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 401 and the memory 402. In some embodiments, processor 401, memory 402, and peripheral interface 403 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 401, the memory 402 and the peripheral interface 403 may be implemented on a separate chip or circuit board, which is not limited by this embodiment.

The communication circuit 404 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The communication circuit 404 communicates with a communication network and other communication devices via electromagnetic signals. The communication circuit 404 converts an electric signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electric signal. Optionally, the communication circuit 404 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The communication circuit 404 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the Communication circuit 404 may further include a circuit related to NFC (Near Field Communication), which is not limited in the present invention.

The display screen 405 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 405 is a touch display screen, the display screen 405 also has the ability to capture touch signals on or over the surface of the display screen 405. The touch signal may be input to the processor 401 as a control signal for processing. At this point, the display screen 405 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display screen 405 may be one, providing the front panel of the terminal 400; in other embodiments, the display screen 405 may be at least two, respectively disposed on different surfaces of the terminal 400 or in a folded design; in still other embodiments, the display 405 may be a flexible display disposed on a curved surface or a folded surface of the terminal 400. Even further, the display screen 405 may be arranged in a non-rectangular irregular pattern, i.e. a shaped screen. The Display screen 405 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and other materials.

Audio circuitry 406 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 401 for processing, or inputting the electric signals to the communication circuit 404 to realize voice communication. The microphones may be plural for stereo sound collection or noise reduction purposes, may be respectively provided at different portions of the terminal 400 or, when the terminal is an in-vehicle terminal, the microphones thereof may be arranged at different portions of the vehicle. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 401 or the communication circuit 404 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, audio circuitry 406 may also include a headphone jack.

The terminal 400 may be powered by a vehicle-mounted power source, and those skilled in the art will appreciate that the configuration shown in FIG. 4 does not constitute a limitation of the terminal 400, and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components may be employed.

In an exemplary embodiment, a computer readable storage medium, such as a memory including program code, which is executable by a processor in a terminal to perform the cruising range determining method in the above embodiment, is also provided. For example, the computer-readable storage medium may be a ROM (Read-Only Memory), a RAM (random access Memory), a CD-ROM (Compact Disc Read-Only Memory), a magnetic tape, a floppy disk, an optical data storage device, and the like.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above description is only exemplary of the present invention and should not be taken as limiting the invention, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method of determining range, the method comprising:

inputting the current running speed, the driving habit data, the road condition data of the road section, the load data and the first cruising mileage into a mileage adjusting model, and outputting a second cruising mileage, wherein the mileage adjusting model is obtained by training based on historical running data of a vehicle of the same type as the vehicle;

when resource supplement is started at any resource supplement place, acquiring a second residual amount of the target resource;

determining the resource consumption from the real-time positioning position of the vehicle to the resource supplementing place according to the second residual quantity and the first residual quantity;

determining the actual unit consumption according to the resource consumption and the actual driving distance between the real-time positioning position and the resource supplementing place;

and according to the actual unit consumption and the predicted unit consumption, carrying out accuracy detection on the second cruising range, wherein the predicted unit consumption is the ratio of the first residual quantity to the second cruising range.

2. The method of claim 1, wherein the driving habit data comprises: recent hundred kilometers of resource consumption, cumulative average resource consumption;

the load data includes: operating data of an air conditioner in the vehicle.

3. The method of claim 1, wherein after obtaining the first range based on the first remaining amount of the target resource, the method further comprises:

and acquiring real-time weather data, and inputting the real-time weather data into the mileage adjusting model.

4. The method of claim 1, wherein the training process of the mileage adjusting model comprises:

acquiring sample data of the vehicle type, wherein the sample data comprises the driving speed, driving habit data, road condition data of a driving road section and load data of a plurality of vehicles of the vehicle type in the driving process;

and training an initial linear regression model based on the sample data of the vehicle model, and taking the model obtained by training as the mileage adjusting model when the accuracy of the model obtained by training reaches a target accuracy.

5. The method of claim 1, wherein after inputting the current driving speed, the driving habit data, the road condition data, the load data, and the first range into a range adjustment model and outputting a second range, the method further comprises:

when the second cruising mileage is lower than the target mileage, inquiring according to the real-time positioning position of the vehicle to obtain at least one target resource supplementing place, wherein the route distance between each target resource supplementing place and the real-time positioning position is smaller than the second cruising mileage;

and displaying the inquired resource supplement place based on the navigation route.

6. The method of claim 5, wherein querying from the real-time location of the vehicle to obtain at least one target resource replenishment site, wherein a distance to a route between each target resource replenishment site and the real-time location is less than the second range comprises:

inquiring according to the real-time positioning position of the vehicle to obtain at least one alternative resource supplementing place, wherein each alternative resource supplementing place is positioned in the target range of the real-time positioning position;

7. A cruising range determining apparatus, comprising:

the mileage adjusting module is used for inputting the current driving speed, the driving habit data, the road condition data of the road section, the load data and the first cruising mileage into a mileage adjusting model and outputting a second cruising mileage, wherein the mileage adjusting model is obtained by training based on historical driving data of a vehicle of the same type as the vehicle;

the detection module is used for acquiring a second residual amount of the target resource when resource supplementation is started at any resource supplementation place; determining the resource consumption from the real-time positioning position of the vehicle to the resource supplementing place according to the second residual quantity and the first residual quantity; determining the actual unit consumption according to the resource consumption and the actual driving distance between the real-time positioning position and the resource supplementing place; and according to the actual unit consumption and the predicted unit consumption, carrying out accuracy detection on the second cruising range, wherein the predicted unit consumption is the ratio of the first residual quantity to the second cruising range.

8. The apparatus according to claim 7, wherein the driving habit data comprises: recent hundred kilometers of resource consumption, cumulative average resource consumption;

the load data includes: operating data of an air conditioner in the vehicle.

9. The apparatus of claim 7, further comprising:

10. The apparatus of claim 7, further comprising a training module to:

11. The apparatus of claim 7, further comprising:

12. The apparatus of claim 11, wherein the venue acquisition module is configured to:

13. A terminal, characterized in that the terminal comprises one or more processors and one or more memories having stored therein at least one program code, which is loaded and executed by the one or more processors to implement the range determination method according to any one of claims 1 to 6.

14. A computer-readable storage medium having stored therein at least one program code, the at least one program code being loaded into and executed by a processor to implement the range determination method as claimed in any one of claims 1 to 6.