CN111670340A - Method for acquiring remaining driving mileage of vehicle, electronic equipment and vehicle - Google Patents

Method for acquiring remaining driving mileage of vehicle, electronic equipment and vehicle Download PDF

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CN111670340A
CN111670340A CN201880087436.5A CN201880087436A CN111670340A CN 111670340 A CN111670340 A CN 111670340A CN 201880087436 A CN201880087436 A CN 201880087436A CN 111670340 A CN111670340 A CN 111670340A
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vehicle
remaining
driving
user
data
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CN111670340B (en
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阳光
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Shenzhen A&E Intelligent Technology Institute Co Ltd
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Shenzhen A&E Intelligent Technology Institute Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/38—Electronic maps specially adapted for navigation; Updating thereof
    • G01C21/3804—Creation or updating of map data
    • G01C21/3807—Creation or updating of map data characterised by the type of data
    • G01C21/3815—Road data
    • G01C21/3822—Road feature data, e.g. slope data
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles

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Abstract

A method for acquiring the remaining driving mileage of a vehicle, an electronic device and the vehicle are provided, wherein the method for acquiring the remaining driving mileage of the vehicle comprises the following steps: acquiring a current position and a current remaining energy of a vehicle (101); acquiring user historical driving data (102); the remaining driving range of the vehicle is determined (103) according to the user historical driving data, the current position of the vehicle and the current remaining energy. The remaining driving mileage of the vehicle is determined by acquiring the current position and the current remaining energy of the vehicle and combining the historical driving data of the user, so that the remaining driving mileage of the vehicle is estimated more intelligently and more accurately, and the user experience is improved.

Description

Method for acquiring remaining driving mileage of vehicle, electronic equipment and vehicle [ technical field ] A method for producing a semiconductor device
The present application relates to the field of vehicle technologies, and in particular, to a method for obtaining remaining driving mileage of a vehicle, an electronic device, and a vehicle.
[ background of the invention ]
The increasing serious problems of energy crisis, environmental pollution, greenhouse effect and the like make new energy automobiles become a necessary trend for the revolution of the automobile industry. The pure electric vehicle has the advantages of high efficiency, energy conservation and zero emission at a terminal, is widely concerned by governments and enterprises, and can well remind a driver of predicting the remaining mileage of the pure electric vehicle, so that the pure electric vehicle becomes one of the key points of the field research of the pure electric vehicles. The driving force of the pure electric vehicle is supplied by a battery, the endurance mileage of the pure electric vehicle is limited, and the coverage of the existing charging point device is low, so that the pure electric vehicle is extremely easy to be broken down due to the exhaustion of electric power. In the prior art, a method for estimating the remaining driving mileage of the pure electric vehicle is generally roughly estimated according to the remaining electric quantity of the pure electric vehicle and the average energy consumption of the pure electric vehicle. However, the average energy consumption of different road sections is different, so that the method only can roughly leave the driving mileage.
[ summary of the invention ]
The application aims to provide a method for acquiring the remaining driving mileage of a vehicle, electronic equipment and the vehicle, so as to solve the problem that the estimation of the remaining driving mileage of the vehicle is inaccurate in the prior art.
In order to solve the above technical problem, the first technical solution adopted by the present application is: the method for acquiring the remaining driving mileage of the vehicle comprises the following steps: acquiring the current position and the current residual energy of the vehicle; acquiring historical driving data of a user; and determining the remaining driving mileage of the vehicle according to the historical driving data of the user, the current position of the vehicle and the current remaining energy.
In order to solve the above technical problem, the second technical solution adopted by the present application is: the electronic equipment comprises a memory and a processor, wherein the processor is connected with the memory, and the memory is used for storing a computer program executed by the processor and intermediate data generated when the computer program is executed by the processor; the processor, when executing the computer program, implements the method for obtaining the remaining driving range of the vehicle according to any one of the preceding claims.
In order to solve the above technical problem, the third technical solution adopted by the present application is: a vehicle is provided, and the vehicle comprises the electronic equipment based on the acquisition method of the remaining driving mileage of the vehicle.
In order to solve the above technical problem, a fourth technical solution adopted by the present application is: there is provided a device having a storage function, which stores program data executable to implement the method of acquiring remaining mileage of a vehicle as set forth in any one of the above.
The beneficial effect of this application is: different from the prior art, the method and the device determine the remaining driving mileage of the vehicle by acquiring the current position and the current remaining energy of the vehicle and combining the historical driving data of the user, thereby estimating the remaining driving mileage of the vehicle more intelligently and more accurately and improving the user experience.
[ description of the drawings ]
FIG. 1 is a schematic flow chart diagram illustrating an embodiment of a method for obtaining remaining driving range of a vehicle according to the present application;
FIG. 2 is a schematic structural diagram of an embodiment of an electronic device according to the method for acquiring remaining driving range of a vehicle of the present application;
fig. 3 is a schematic structural diagram of an embodiment of the apparatus with a storage function according to the present application.
[ detailed description ] embodiments
In order to make the technical problems solved, the technical solutions adopted, and the technical effects achieved by the present application clearer, the technical solutions in the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic flowchart of an embodiment of a method for acquiring remaining driving range of a vehicle according to the present application.
In this embodiment, a method for acquiring remaining driving mileage of a vehicle includes the steps of:
step 101: the current position and the current remaining energy of the vehicle are acquired.
In the present embodiment, the surplus energy may be an electric quantity, an oil quantity, or the like, and the vehicle may be a vehicle using electric energy as a motive power, a vehicle using fuel oil or gas as a motive power, a vehicle using another energy as a motive power, a hybrid vehicle, or the like, which is not limited in the present application. Aiming at the pure electric vehicle, the current residual energy of the vehicle is the current residual electric quantity of the battery of the pure electric vehicle; aiming at the fuel oil vehicle, the current residual energy of the vehicle is the current residual oil quantity of the fuel oil vehicle; aiming at the gas vehicle, the current residual energy of the vehicle is the current residual capacity of the gas vehicle; for a hybrid electric vehicle, for example, a common hybrid electric vehicle, the current remaining energy of the vehicle is the current remaining electric quantity and the remaining oil quantity of the hybrid electric vehicle.
In the present embodiment, the electronic device acquires the remaining amount of power and/or the amount of oil of the vehicle. The electronic equipment is connected with the vehicle in a wired or wireless mode and is used for collecting and processing various parameters of the vehicle. The electronic device may be a mobile phone, a personal computer, an ipad, or a vehicle-mounted device, and the like, which is not limited in the present application.
In this embodiment, the electronic device needs to first acquire the current position of the vehicle. In order to more accurately estimate the remaining mileage that the vehicle can travel under the current electric power and/or oil quantity, in one embodiment, the current position of the vehicle may be obtained by a navigation system, such as a Global Positioning System (GPS), provided on the vehicle. In another specific embodiment, the electronic device may also obtain the current location of the user according to current location information input by the user, where the user may input the current location to the electronic device by using a language input method, a text input method, or the like, which is not limited herein. In yet another specific embodiment, the electronic device may acquire the current location through a sensor provided on the vehicle. In other embodiments, the current position of the vehicle may be obtained according to other manners, which is not limited in this application.
In this embodiment, the electronic device needs to acquire the current remaining power and/or fuel amount of the vehicle. In a specific implementation scenario, the current remaining capacity of the vehicle may be determined according to an SOC (State of Charge, also called remaining capacity, which represents a ratio of a remaining capacity of the battery after the battery is used for a period of time or left unused for a long time to a capacity of a fully charged State thereof, and a common percentage is expressed, and the value range thereof is 0 to 100%, when the SOC is 0, the battery is completely discharged, and when the SOC is 100%, the battery is completely charged). The current remaining oil quantity of the vehicle can be obtained according to an oil quantity meter.
Step 102: and acquiring historical driving data of a user.
In this embodiment, the electronic device obtains historical driving data of a user, where the historical driving data of the user includes energy consumption of a vehicle during historical driving on a preset road segment. The power consumption includes power consumption, fuel consumption, and the like. The user history traveling data is traveling data of the vehicle in a previous trip. After the vehicle runs on a road section, the electronic device records and stores the running data of the vehicle on the road section so as to obtain the energy consumption information of the vehicle during historical running on the preset road section. The storage time of the user historical driving data is determined according to actual conditions, such as 1 month, 15 days or 7 days, and the like, and the application is not limited to this.
In a specific embodiment, the user historical driving data comprises driving speed, load, initial value of electric quantity and final value of electric quantity of the vehicle in a preset road section. In other embodiments, the user historical driving data may also include other driving data of the vehicle in a preset road segment, which is not limited in this application.
The order of the above steps 101 and 102 may be interchanged.
Step 103: and determining the remaining driving mileage of the vehicle according to the historical driving data of the user, the current position of the vehicle and the current remaining energy.
In the present embodiment, the electronic device determines the remaining driving range of the vehicle based on the user history driving data, the current position of the vehicle, and the current remaining energy. And after determining the remaining driving mileage of the vehicle according to the historical driving data of the user, the current position of the vehicle and the current remaining energy, outputting the remaining driving mileage of the vehicle and sending out prompt information. And the prompt information comprises the accuracy of the determination result of the remaining driving mileage of the vehicle.
In a specific embodiment, after acquiring the current position of the vehicle, the current remaining energy and the user historical driving data, the electronic device first determines whether the current position of the vehicle is included in the user historical driving data; and if the current position of the vehicle is not included in the historical driving data of the user, acquiring map data, judging whether the vehicle is provided with a destination or not, and determining the remaining driving mileage of the vehicle according to the map data, the historical driving data of the user, the current position of the vehicle and the current remaining energy. For example, if the preset road segments in the user historical driving data are the road segments a, B and C, the current position of the vehicle acquired by the electronic device is the road segment D, and the electronic device determines that the preset road segments in the user historical driving data do not include the road segment D, it indicates that the vehicle is driving on a new route, and the electronic device determines whether the vehicle sets a destination.
Further, if the current position of the vehicle is not included in the user historical driving data and the vehicle sets a destination, map data is acquired, wherein the map data includes road section parameter information of each road section. And determining the remaining driving mileage of the vehicle according to the map data, the historical driving data of the user, the current position of the vehicle and the current remaining capacity. In another embodiment, if the user history driving data does not include the current position of the vehicle, the map data may be obtained first, and then it is determined whether the vehicle sets the destination, or the map data may be obtained and simultaneously it is determined whether the vehicle sets the destination, which is not limited in the present application. Specifically, the information source of the map data may be a network, for example, the map data collected by a third party is directly used, or a corresponding sensor may be mounted on the vehicle to collect data. When the sensors on the vehicle are used for collection, the road conditions of all road sections, such as gradient, distance, basic road information, road smoothness, average running speed and the like, are mainly collected. For example, the map data of the a link is: the slope is 10 degrees, the distance is 5km, the average driving speed is 16km, the road surface information is asphalt road, and the smoothness is 5. Specifically, the road smoothness can be obtained by a sensor according to the operation state of the vehicle, the current user is stepping on an accelerator or a brake, the stepping depth and the stepping time interval, and the data can be used for assisting in judging the road smoothness of the current driving road section. The average running speed can be acquired by a speed sensor according to a preset frequency.
Further, if the current position of the vehicle is not included in the user historical driving data and the vehicle sets a destination, map data is acquired, wherein the map data includes road section parameter information of each road section. And acquiring a driving route of the vehicle according to the current position and the destination, and determining the remaining driving mileage of the vehicle according to the map data, the historical driving data of the user, the driving route of the vehicle and the current remaining energy. The electronic device may plan a driving route for the vehicle according to the map data, the current location, and the destination, and may also access the GPS system to obtain the driving route of the vehicle from the GPS system, which is not limited in the present application. Preferably, the driving path is planned according to the current position of the user and the destination of the user by comprehensively considering the road condition, the distance, the average energy consumption of each road section in the big data and the like, and the most power-saving driving path is determined. For example, if the preset road segments in the user historical driving data are the road segments a, B and C, the current position of the vehicle acquired by the electronic device is the road segment D, and the electronic device determines that the preset road segments in the user historical driving data do not include the road segment D, it indicates that the vehicle is driving on a new route, and the electronic device determines whether the vehicle sets a destination. And the electronic equipment judges that the current position D road section of the vehicle is not included in the historical driving data of the user and the set destination of the vehicle is the F road section, and then map data are acquired. The electronic device acquires a driving route of the vehicle according to the current position D road section and the destination F road section. Specifically, first, a corresponding relationship between map data of a preset road section and historical driving data of a user is analyzed according to the historical driving data of the user, for example, the map data of the road section a is: the slope is 10 degrees, the distance is 5km, the average driving speed is 16km, the road surface information is asphalt road, and the smoothness is 5. The historical driving data of the user driving on the road section A are as follows: the running speed is 20km/h, the load is 55kg, the initial value of the electric quantity is 76%, and the final value of the electric quantity is 72%. Through a big data analysis fitting method, the corresponding relation between the map data and each data in the user historical driving data can be analyzed, and other partial data can be calculated only by providing partial data of the map data and the user historical driving data. Accordingly, the remaining driving range of the vehicle is determined according to the map data, the user history driving data, the driving route of the vehicle, and the current remaining power and/or fuel amount.
Further, acquiring road section parameter information of each road section in the driving route, and determining the power consumption and/or the oil consumption of the vehicle in each road section in the driving route according to the map data, the historical driving data of the user and the road section parameter information of each road section in the driving route; and determining the remaining driving mileage of the vehicle according to the remaining electric quantity and/or oil quantity of the vehicle and the electric power consumption and/or oil consumption of each road section in the driving route. For example, the preset road segments in the user historical driving data are the road segment a, the road segment B and the road segment C, the electronic device determines that the current position of the vehicle is the road segment D, the electronic device determines that the preset road segments in the user historical driving data do not include the road segment D, which indicates that the vehicle is driving in a new route, and the electronic device determines whether the vehicle sets a destination. If the vehicle setting destination is the F section, the map data is acquired. The electronic equipment acquires the driving route of the vehicle according to the current position D road section and the destination F road section, and the driving route consists of the D road section, the E road section and the F road section. And respectively calculating the power consumption of the D road section, the E road section and the F road section according to the corresponding relation between the map data obtained by analyzing and fitting the big data and the historical driving data of the user and the parameter information of the D road section, the E road section and the F road section. And determining the remaining driving mileage of the vehicle according to the remaining electric quantity of the vehicle and the electric power consumption of each road section in the driving route. The big data analysis fitting may be a fitting method such as multivariate fitting.
The method of multivariate fitting is briefly described below:
the number of parameters influencing the variable y is k, and the k parameters are x respectively1、x2、x3……xk. The N records obtained are shown in table 1:
table 1:
record number x 1 x 2 x 3 …… x k y
1 x 11 x 21 x 31 …… x k y 1
2 x 12 x 22 x 32 …… x k y 2
…… …… …… …… …… …… ……
N x 1N x 2N x 3N …… x k y N
The approximation equation can be selected as shown in equation (1), where y is an approximation of y,
Figure PCTCN2018104684-APPB-000001
determining all coefficients of formula (1) by least square principle
Figure PCTCN2018104684-APPB-000002
To make it
Figure PCTCN2018104684-APPB-000003
The minimum is reached, and the formula (2) is respectively matched with a by a method of solving an extremum of a multivariate function0、a1、a2……akThe partial derivative is calculated and made equal to zero to obtain equation (3),
Figure PCTCN2018104684-APPB-000004
solving the equation set in the formula (3) to obtain a0、a1、a2……akSubstituting the formula (1) to obtain y ＊ and k parameters x1、x2、x3……xkThe relationship (2) of (c).
In this embodiment, power consumption is y, and factors affecting power consumption y include gradient x1Distance x2Average traveling speed x3Road smoothness x4And basic road surface information x5And a weight x6. Multiple groups of gradients x can be obtained by recording user historical driving data of a user for multiple times and combining the user historical driving data with map data1Distance x2Average traveling speed x3Road smoothness x4And basic road surface information x5And a weight x6Like table 1. According to the multivariate fitting method, the power consumption y and the gradient x can be obtained1Distance x2Average traveling speed x3Road smoothness x4And basic road surface information x5And a weight x6The relationship between them. In other embodiments, factors affecting the power consumption y may be increased or decreased according to specific situations, and the present application does not limit the factors.
For example, the preset road segments in the user historical driving data are the road segment a, the road segment B and the road segment C, the current position of the vehicle acquired by the electronic device is the road segment D, the electronic device judges that the preset road segments in the user historical driving data do not include the road segment D, which indicates that the vehicle is driving in a new route, and the electronic device judges whether the vehicle sets a destination or not. If the vehicle setting destination is the F section, the map data is acquired. The electronic equipment acquires the driving route of the vehicle according to the current position D road section and the destination F road section, and the driving route consists of the D road section, the E road section and the F road section. Due to the gradient x in the road section A, the road section B and the road section C1Distance x2Average traveling speed x3Road smoothness x4And basic road surface information x5Weight x6And power consumption y are known, so the gradient x can be obtained according to the method of multivariate fitting described above1Distance x2Average traveling speed x3Road smoothness x4And basic road surface information x5Weight x6And power consumption y. At this time, the gradient x in the D link, the E link, and the F link in the travel route may be acquired, respectively1Distance x2Average traveling speed x3Road smoothness x4And basic road surface information x5Weight x6. According to the obtained gradient x1Distance x2Average traveling speed x3Road smoothness x4Running speed x5And a weight x6And the corresponding relation between the power consumption and the power consumption can respectively obtain the power consumption on the D road section, the E road section and the F road section, and further obtain the power consumption required by the whole driving route. And determining the remaining driving mileage of the vehicle according to the remaining electric quantity of the vehicle and the electric power consumption of each road section in the driving route. Note that the gradient x is acquired1Distance x2Average traveling speed x3Road smoothness x4And runningVelocity x5And a weight x6The correspondence with the power consumption amount may be made in advance and stored in a memory so as to be directly used when necessary, and the correspondence may be updated according to new user travel data.
If the current position of the vehicle is not included in the historical driving data of the user and the vehicle is set as the destination, the remaining driving mileage of the vehicle is output and prompt information is sent out after the remaining driving mileage of the vehicle is determined according to the remaining electric quantity of the vehicle and the electric consumption of each road section in the driving route. Calculating a difference value obtained by subtracting the distance of the driving route from the remaining driving mileage of the vehicle, recording the difference value as a first difference value, and setting a preset difference value, wherein the preset difference value is greater than 0, and the preset difference value can be written in before the vehicle leaves a factory according to market research, or can be a dynamic value which is continuously adjusted according to the service condition of the vehicle, which is not limited herein. If the first difference is not greater than 0, sending out prompt messages of 'unreachable' and 'basically accurate'; if the first difference is not less than 0 and not more than the preset difference, sending out prompt information of 'barely reachable' and 'basically accurate'; and if the first difference is not less than the preset difference, sending out prompting information of 'absolutely reachable' and 'basically accurate'.
In a particular embodiment, the electronic device determines whether the current location of the vehicle is included in the user historical travel data; if the current position of the vehicle is not included in the historical driving data of the user, judging whether the vehicle is set with a destination or not; and if the vehicle does not set the destination, acquiring map data, wherein the map data comprises road section parameter information of each road section. Acquiring an average gradient value of a first road section where the current position of the vehicle is located according to the map data and the current position of the vehicle; and determining the remaining mileage of the vehicle according to the average slope value of the first road section, the historical driving data of the user and the current remaining electric quantity and/or oil quantity. For example, the preset road segments in the user historical driving data are the road segment a, the road segment B and the road segment C, the electronic device determines that the current position of the vehicle is the road segment D, the electronic device determines that the preset road segments in the user historical driving data do not include the road segment D, which indicates that the vehicle is driving in a new route, and the electronic device determines whether the vehicle sets a destination. The electronic equipment acquires map data when judging that the vehicle does not set a destination, and acquires an average gradient value of a D road section according to the map data and the current position of the vehicle; and determining the remaining mileage of the vehicle according to the average slope value of the D road section, the historical driving data of the user and the current remaining capacity.
Preferably, the user historical driving data of the second road section with the slope value same as the average slope value of the first road section is found out from the user historical driving data; and determining the remaining driving mileage of the vehicle according to the historical driving data of the user corresponding to the second road segment and the current remaining electric quantity and/or oil quantity. For example, the link where the current position is located is a D link, that is, the first link is a D link, the average slope value of the D link obtained according to the map data is 10 degrees, and the current remaining capacity is 20%. And searching the historical driving data of the user to obtain the road section A, namely the second road section, with the average slope value being the same as that of the road section D, wherein the mileage of the road section A is 10km, the power consumption is 5%, and then the residual driving mileage of the vehicle is 40km according to the proportion.
In another specific embodiment, if the user historical driving data does not include a second road segment with the same average slope value as the first road segment, the remaining driving mileage of the vehicle is obtained through an interpolation method according to the user historical driving data and the current remaining electric quantity. For example, the link at which the current position is located is a D link, and the average gradient value obtained from the map data for the D link is 10 degrees. And if the historical driving data of the user does not include the distance with the gradient value of 10 degrees, acquiring the road section A and the road section B, wherein the gradient of the road section A is 5 degrees, the mileage is 5km, the power consumption is 5%, the gradient of the road section B is 15 degrees, the mileage is 15km, and the power consumption is 45%. The current residual electric quantity is 20%, and the residual driving mileage of the vehicle is 10km according to a bilinear difference method or other interpolation algorithms. Of course, in other embodiments, the relationship between the slope, the mileage and the power consumption may be obtained according to the user historical driving data by the multivariate fitting method, and further, the remaining mileage of the D-link may be obtained according to the slope and the remaining power of the D-link, which is not limited in this application.
Further, if the current position of the vehicle is not included in the historical driving data of the user and the vehicle does not set the destination, the remaining driving mileage of the vehicle is output and a less accurate prompt is given.
In one specific embodiment, whether the current position of the vehicle is included in the user historical driving data is judged; and if the historical driving data of the user comprises the current position of the vehicle, acquiring a historical driving route according to the current position of the vehicle and the historical driving data of the user.
Further, acquiring the power consumption and/or the oil consumption of each preset road section of the vehicle on the historical driving route; and determining the remaining driving mileage of the vehicle according to the remaining electric quantity of the vehicle and the electric consumption of each preset road section of the vehicle on the historical driving route. For example, the preset road segments in the user historical driving data are a road segment a, a road segment B and a road segment C, the current position of the vehicle obtained by the electronic device is the road segment a, and the electronic device determines that the preset road segments in the user historical driving data include the road segment a, which indicates that the vehicle is driving on an old road. The electronic equipment acquires that the user walks the road section B after the road section A according to the position and the historical driving data of the user, and walks the road section C after the road section B is completed, namely the historical driving route acquired by the historical driving data of the user is the road section A, the road section B and the road section C, and then the power consumption and/or the oil consumption of the vehicle on the road section A, the road section B and the road section C are acquired. And determining the remaining driving mileage of the vehicle according to the remaining electric quantity and/or oil quantity of the vehicle and the electric consumption quantity and/or oil consumption quantity of the vehicle on the road sections A, B and C.
Further, if the historical driving data of the user comprises the current position of the vehicle, the remaining driving mileage of the vehicle is output, and an accurate prompt is given. Since the current position of the vehicle is included in the user historical driving data, the power consumption and/or the fuel consumption can be directly obtained by looking up the user historical driving data without fitting calculation through big data, and therefore, the result is more accurate compared with the result calculated through the big data fitting.
In addition, in order to obtain the remaining range capable of traveling with higher reliability, step 101 and step 103 may be repeatedly executed, for example, may be executed once every preset time, so that the remaining range capable of traveling may be updated in real time with time and the traveling of the vehicle.
According to the description, the energy consumption of the vehicle on different road sections is combined with the driving route of the user, so that the remaining driving mileage of the vehicle can be estimated more intelligently and accurately, and the user experience is improved.
Referring to fig. 2, fig. 2 is a schematic structural diagram of an embodiment of the electronic device based on the method for acquiring the remaining driving range of the vehicle according to the present application.
In the present embodiment, the electronic device 20 includes a memory 21 and a processor 22, the processor 22 is connected to the memory 21, and the memory 21 is used for storing a computer program executed by the processor 22 and intermediate data generated when the processor 22 executes the computer program; the processor 22, when executing the computer program, implements a method of obtaining the remaining driving range of the vehicle as described below.
In the present embodiment, the surplus energy may be an electric quantity, an oil quantity, or the like, and the vehicle may be a vehicle using electric energy as a motive power, a vehicle using fuel oil or gas as a motive power, a vehicle using another energy as a motive power, a hybrid vehicle, or the like, which is not limited in the present application. Aiming at the pure electric vehicle, the current residual energy of the vehicle is the current residual electric quantity of the battery of the pure electric vehicle; aiming at the fuel oil vehicle, the current residual energy of the vehicle is the current residual oil quantity of the fuel oil vehicle; aiming at the gas vehicle, the current residual energy of the vehicle is the current residual capacity of the gas vehicle; for a hybrid electric vehicle, for example, a common hybrid electric vehicle, the current remaining energy of the vehicle is the current remaining electric quantity and the remaining oil quantity of the hybrid electric vehicle.
In the present embodiment, the processor 22 acquires the remaining amount of electricity and/or the amount of oil of the vehicle. The electronic device 20 is connected with the vehicle in a wired or wireless manner, and the processor 22 is used for collecting and processing various parameters of the vehicle. The electronic device 20 may be a mobile phone, a personal computer, an ipad, a vehicle-mounted device, or the like, which is not limited in this application.
In this embodiment, the processor 22 needs to first acquire the current position of the vehicle. In order to more accurately estimate the remaining mileage that the vehicle can travel under the current electric power and/or oil quantity, in one embodiment, the current position of the vehicle may be obtained by a navigation system, such as a Global Positioning System (GPS), provided on the vehicle. In another specific embodiment, the processor 22 may also obtain the current location of the user according to the current location information input by the user, where the user may input the current location to the electronic device 20 by means of language input, text input, and the like, which is not limited herein. In yet another specific embodiment, the processor 22 may obtain the current location via sensors provided on the vehicle. In other embodiments, the processor 22 may obtain the current position of the vehicle according to other manners, which is not limited in this application.
In this embodiment, the processor 22 needs to acquire the current remaining power and/or fuel amount of the vehicle. In a specific implementation scenario, the current remaining capacity of the vehicle may be determined according to an SOC (State of Charge, also called remaining capacity, which represents a ratio of a remaining capacity of the battery after the battery is used for a period of time or left unused for a long time to a capacity of a fully charged State thereof, and a common percentage is expressed, and the value range thereof is 0 to 100%, when the SOC is 0, the battery is completely discharged, and when the SOC is 100%, the battery is completely charged). The current remaining oil quantity of the vehicle can be obtained according to an oil quantity meter.
In the present embodiment, the processor 22 acquires user historical travel data, wherein the user historical travel data includes energy consumption information when the vehicle has historically traveled on a preset road segment. The power consumption includes power consumption, fuel consumption, and the like. The user history traveling data is traveling data of the vehicle in a previous trip. After the vehicle runs a road section, the processor 22 records and stores the running data of the vehicle in the road section in the memory 21 so as to obtain the energy consumption information of the vehicle during historical running on the preset road section. The storage time of the user historical driving data is determined according to actual conditions, such as 1 month, 15 days or 7 days, and the like, and the application is not limited to this.
In a specific embodiment, the user historical driving data comprises driving speed, load, initial value of electric quantity and final value of electric quantity of the vehicle in a preset road section. In other embodiments, the user historical driving data may also include other driving data of the vehicle in a preset road segment, which is not limited in this application.
In this embodiment, the processor 22 determines the remaining range of the vehicle based on the user historical travel data, the current location of the vehicle, and the current remaining energy. The processor 22 outputs the remaining range of the vehicle and issues a prompt after determining the remaining range of the vehicle based on the user historical travel data, the current location of the vehicle, and the current remaining energy. For example, the display can be performed through an external display screen. And the prompt information comprises the accuracy of the determination result of the remaining driving mileage of the vehicle.
In a specific embodiment, after acquiring the current position of the vehicle, the current remaining energy and the user historical driving data, the processor 22 first determines whether the current position of the vehicle is included in the user historical driving data; if the current position of the vehicle is not included in the user's historical travel data, the processor 22 determines whether the vehicle has set a destination. For example, if the preset links in the user historical driving data are the a link, the B link, and the C link, the processor 22 determines that the current position of the vehicle is the D link, and the processor 22 determines that the preset links in the user historical driving data do not include the D link, it indicates that the vehicle is driving in a new route, and the processor 22 determines whether the vehicle sets the destination.
Further, if the processor 22 determines that the current position of the vehicle is not included in the user history driving data and the vehicle sets the destination, the processor 22 acquires map data, wherein the map data includes link parameter information of each link. The processor 22 determines the remaining range of the vehicle based on the map data, the user historical driving data, the current location of the vehicle, and the current remaining capacity. In another embodiment, if the user history driving data does not include the current position of the vehicle, the map data may be obtained first, and then it is determined whether the vehicle sets the destination, or the map data may be obtained and simultaneously it is determined whether the vehicle sets the destination, which is not limited in the present application. Specifically, the information source of the map data may be a network, for example, the map data collected by a third party is directly used, or a corresponding sensor may be mounted on the vehicle to collect data. When the sensors on the vehicle are used for collection, the road conditions of all road sections, such as gradient, basic road information, road smoothness, average running speed and the like, are mainly collected. For example, the map data of the a link is: the slope is 10 degrees, the distance is 5km, the average driving speed is 16km, the road surface information is asphalt road, and the smoothness is 5. Specifically, the road smoothness can be obtained by a sensor according to the operation state of the vehicle, the current user is stepping on an accelerator or a brake, the stepping depth and the stepping time interval, and the data can be used for assisting in judging the road smoothness of the current driving road section. The average running speed can be acquired by a speed sensor according to a preset frequency.
Further, if the processor 22 determines that the current position of the vehicle is not included in the user history driving data and the vehicle sets the destination, the map data is acquired, wherein the map data includes link parameter information of each link. The processor 22 acquires a travel route of the vehicle based on the current position and the destination. The electronic device 20 may plan a driving route for the vehicle according to the map data, the current location, and the destination, or may access the GPS system to obtain the driving route of the vehicle from the GPS system, which is not limited in this application. Preferably, the driving path is planned according to the current position of the user and the destination of the user by comprehensively considering the road condition, the distance, the average energy consumption of each road section in the big data and the like, and the most power-saving driving path is determined. For example, if the preset links in the user historical driving data are the a link, the B link, and the C link, the processor 22 determines that the current position of the vehicle is the D link, and the processor 22 determines that the preset links in the user historical driving data do not include the D link, it indicates that the vehicle is driving in a new route, and the processor 22 determines whether the vehicle sets the destination. The processor 22 determines that the current position D section of the vehicle is not included in the user history traveling data and the vehicle setting destination is the F section, acquires the map data. The processor 22 acquires a travel route of the vehicle from the current position D section and the destination F section. Specifically, first, a corresponding relationship between map data of a preset road section and historical driving data of a user is analyzed according to the historical driving data of the user, for example, the map data of the road section a is: the slope is 10 degrees, the distance is 5km, the average driving speed is 16km, the road surface information is asphalt road, and the smoothness is 5. The historical driving data of the user driving on the road section A are as follows: the running speed is 20km/h, the load is 55kg, the initial value of the electric quantity is 76%, and the final value of the electric quantity is 72%. Through a big data analysis fitting method, the corresponding relation between the map data and each data in the user historical driving data can be analyzed, and other partial data can be calculated only by providing partial data of the map data and the user historical driving data. Accordingly, the remaining driving range of the vehicle is determined according to the map data, the user history driving data, the driving route of the vehicle, and the current remaining power and/or fuel amount.
Further, the processor 22 determines the power consumption and/or the fuel consumption of the vehicle at each road section in the driving route according to the map data, the historical driving data of the user and the road section parameter information of each road section in the driving route; the processor 22 determines the remaining driving range of the vehicle based on the remaining amount of electricity and/or oil of the vehicle and the amount of electricity and/or oil consumed for each section of the driving route. For example, the preset links in the user historical travel data are the a link, the B link, and the C link, the processor 22 is the D link at the current position where the vehicle is acquired, the processor 22 determines that the preset links in the user historical travel data do not include the D link, which indicates that the vehicle is traveling in a new route, and the processor 22 determines whether the vehicle sets a destination. If the vehicle setting destination is the F section, the map data is acquired. The processor 22 acquires a driving route of the vehicle from the current position D section and the destination F section, and the driving route is composed of a D section, an E section, and an F section. And respectively calculating the power consumption of the D road section, the E road section and the F road section according to the corresponding relation between the map data obtained by analyzing and fitting the big data and the historical driving data of the user and the parameter information of the D road section, the E road section and the F road section. And determining the remaining driving mileage of the vehicle according to the remaining electric quantity of the vehicle and the electric power consumption of each road section in the driving route.
Further, if the current position of the vehicle is not included in the user historical driving data and the vehicle sets a destination, after the remaining driving mileage of the vehicle is determined according to the remaining electric quantity of the vehicle and the electric consumption of each road section in the driving route, the remaining mileage of the vehicle is output, and prompt information is sent out. Calculating a difference value obtained by subtracting the distance of the driving route from the remaining driving mileage of the vehicle, recording the difference value as a first difference value, and setting a preset difference value, wherein the preset difference value is greater than 0, and the preset difference value can be written in before the vehicle leaves a factory according to market research, or can be a dynamic value which is continuously adjusted according to the service condition of the vehicle, which is not limited herein. If the first difference is not greater than 0, sending out prompt messages of 'unreachable' and 'basically accurate'; if the first difference is not less than 0 and not more than the preset difference, sending out prompt information of 'barely reachable' and 'basically accurate'; and if the first difference is not less than the preset difference, sending out prompting information of 'absolutely reachable' and 'basically accurate'.
In one particular embodiment, processor 22 determines whether the current location of the vehicle is included in the user's historical travel data; if the processor 22 determines that the current position of the vehicle is not included in the user's historical travel data, the processor 22 determines whether the vehicle has set a destination; if the vehicle does not set a destination, the processor 22 acquires map data including link parameter information of each link. Acquiring an average gradient value of a first road section where the current position of the vehicle is located according to the map data and the current position of the vehicle; and determining the remaining mileage of the vehicle according to the average slope value of the first road section, the historical driving data of the user and the current remaining electric quantity and/or oil quantity. For example, the link where the current position is located is a D link, that is, the first link is a D link, the average slope value of the D link obtained according to the map data is 10 degrees, and the current remaining capacity is 20%. And searching the historical driving data of the user to obtain the road section A, namely the second road section, with the average slope value being the same as that of the road section D, wherein the mileage of the road section A is 10km, the power consumption is 5%, and then the residual driving mileage of the vehicle is 40km according to the proportion. And determining the remaining mileage of the vehicle by the average slope value of the section, the historical driving data of the user and the current remaining capacity.
Preferably, the user historical driving data of the second road section with the slope value same as the average slope value of the first road section is found out from the user historical driving data; and determining the remaining driving mileage of the vehicle according to the historical driving data of the user corresponding to the second road segment and the current remaining electric quantity and/or oil quantity. For example, the current position is a D road section, the mileage of the D road section is 10km, and the power consumption amount is 5%; and obtaining the road section A with the same gradient as the road section D by searching the historical driving data of the user, wherein the mileage of the road section A is 4km, calculating the power consumption of the road section A to be 2% according to the proportion, and further determining the residual driving mileage of the vehicle.
Further, if the current position of the vehicle is not included in the historical driving data of the user and the vehicle does not set the destination, the remaining driving mileage of the vehicle is output and a less accurate prompt is given.
In one particular embodiment, processor 22 determines whether the current location of the vehicle is included in the user's historical travel data; if the current position of the vehicle is included in the user historical travel data, the processor 22 obtains a historical travel route according to the current position of the vehicle and the user historical travel data.
Further, the processor 22 obtains the power consumption and/or the oil consumption of each preset road section of the vehicle on the historical driving route; the processor 22 determines the remaining driving range of the vehicle according to the remaining power of the vehicle and the power consumption of each preset road section of the historical driving route of the vehicle. For example, the preset road segments in the user historical driving data are a road segment a, a road segment B and a road segment C, the processor 22 determines that the current position of the vehicle is the road segment a, and the processor 22 determines that the preset road segments in the user historical driving data include the road segment a, which indicates that the vehicle is driving on an old road. The processor 22 acquires that the user walks the road B after the road a according to the position and the historical driving data of the user, and walks the road C after the road B is completed, that is, the historical driving route acquired by the historical driving data of the user is the road a, the road B and the road C, and then acquires the power consumption and/or the fuel consumption of the vehicle on the road a, the road B and the road C. And determining the remaining driving mileage of the vehicle according to the remaining electric quantity and/or oil quantity of the vehicle and the electric consumption quantity and/or oil consumption quantity of the vehicle on the road sections A, B and C.
Further, if the historical driving data of the user comprises the current position of the vehicle, the remaining driving mileage of the vehicle is output, and an accurate prompt is given. Since the current position of the vehicle is included in the user historical driving data, the power consumption and/or the fuel consumption can be directly obtained by looking up the user historical driving data without fitting calculation through big data, and therefore, the result is more accurate compared with the result calculated through the big data fitting.
In addition, in order to obtain the remaining range capable of traveling with higher reliability, the above steps may be repeatedly performed, for example, every preset time, so that the remaining range capable of traveling may be updated in real time as time goes by and the vehicle travels.
The application also provides a vehicle comprising the electronic equipment to realize the steps of the method.
According to the description, the method and the device are different from the prior art, the remaining driving mileage of the vehicle is determined by acquiring the current position and the current remaining energy of the vehicle and combining the historical driving data of the user, so that the remaining driving mileage of the vehicle is estimated more intelligently and more accurately, and the user experience is improved.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an embodiment of a device with a storage function according to the present invention. The device 30 having a storage function stores at least one program or instruction 31, and the program or instruction 31 is used to implement any of the robot control methods described above. In one embodiment, an apparatus having a storage function includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
According to the description, the method and the device are different from the prior art, the remaining driving mileage of the vehicle is determined by acquiring the current position and the current remaining energy of the vehicle and combining the historical driving data of the user, so that the remaining driving mileage of the vehicle is estimated more intelligently and more accurately, and the user experience is improved.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (15)

  1. The method for acquiring the remaining driving mileage of the vehicle is characterized by comprising the following steps of:
    acquiring the current position and the current residual energy of the vehicle;
    acquiring historical driving data of a user;
    and determining the remaining driving mileage of the vehicle according to the historical driving data of the user, the current position of the vehicle and the current remaining energy.
  2. The method for acquiring remaining mileage of a vehicle according to claim 1,
    before determining the remaining driving range of the vehicle according to the user historical driving data, the current position of the vehicle and the current remaining energy, the method comprises the following steps:
    judging whether the current position of the vehicle is included in the user historical driving data or not;
    if the current position of the vehicle is not included in the historical driving data of the user, obtaining map data and judging whether the vehicle is set with a destination or not;
    the step of determining the remaining driving range of the vehicle according to the user historical driving data, the current position of the vehicle and the current remaining energy comprises the following steps:
    and determining the remaining driving mileage of the vehicle according to the map data, the historical driving data of the user, the current position of the vehicle and the current remaining energy.
  3. The method for obtaining the remaining driving range of the vehicle according to claim 2, wherein the determining the remaining driving range of the vehicle according to the map data, the user historical driving data, the current position of the vehicle and the current remaining energy comprises:
    if the current position of the vehicle is not included in the historical driving data of the user and the vehicle is set as a destination, acquiring a driving route of the vehicle according to the current position and the destination;
    and determining the remaining driving mileage of the vehicle according to the map data, the historical driving data of the user, the driving route of the vehicle and the current remaining energy.
  4. The method for obtaining the remaining driving range of the vehicle according to claim 3, wherein the determining the remaining driving range of the vehicle according to the map data, the user historical driving data, the driving route of the vehicle and the current remaining energy comprises:
    acquiring road section parameter information of each road section in the driving route;
    determining the energy consumption of the vehicle on each road section in the driving route according to the map data, the historical driving data of the user and the road section parameter information of each road section in the driving route;
    and determining the remaining driving range of the vehicle according to the remaining energy of the vehicle and the energy consumption of each road section in the driving route.
  5. The method for obtaining the remaining driving range of the vehicle according to claim 2, wherein the determining the remaining driving range of the vehicle according to the map data, the user historical driving data, the current position of the vehicle and the current remaining energy comprises:
    if the current position of the vehicle is not included in the historical driving data of the user and the vehicle is not provided with a destination, acquiring an average gradient value of a first road section where the current position of the vehicle is located according to the map data and the current position of the vehicle;
    and determining the remaining mileage of the vehicle according to the average slope value of the first road section, the historical driving data of the user and the current remaining energy.
  6. The method for obtaining the remaining mileage of a vehicle according to claim 5, wherein the determining the remaining mileage of a vehicle based on the average slope value of the first road segment, the user history driving data and the current remaining energy comprises:
    searching user historical driving data of a second road section with the same slope value as the average slope value of the first road section in the user historical driving data;
    and determining the remaining driving mileage of the vehicle according to the historical driving data of the user corresponding to the second road section and the current remaining energy.
  7. The method for obtaining the remaining driving range of the vehicle according to claim 1, wherein the determining the remaining driving range of the vehicle according to the user historical driving data, the current position of the vehicle and the current remaining energy comprises:
    judging whether the current position of the vehicle is included in the user historical driving data or not;
    and if the historical driving data of the user comprises the current position of the vehicle, acquiring a historical driving route according to the current position of the vehicle and the historical driving data of the user.
  8. The method for obtaining the remaining driving range of the vehicle according to claim 7, wherein the determining the remaining driving range of the vehicle according to the user historical driving data, the current position of the vehicle and the current remaining energy comprises:
    if the historical driving data of the user comprises the current position of the vehicle, acquiring the energy consumption of the vehicle on each preset road section on the historical driving route;
    and determining the remaining driving mileage of the vehicle according to the remaining energy of the vehicle and the energy consumption of each preset road section of the vehicle on the historical driving route.
  9. The method for obtaining the remaining driving range of the vehicle according to claim 1, wherein after determining the remaining driving range of the vehicle according to the user historical driving data, the current position of the vehicle and the current remaining energy, the method comprises:
    and outputting the remaining driving mileage of the vehicle and sending out prompt information.
  10. The method for acquiring the remaining driving range of the vehicle according to claim 9, wherein the prompt message includes an accuracy of a result of determining the remaining driving range of the vehicle.
  11. The method for acquiring the remaining driving mileage of a vehicle according to claim 2, wherein the map data is acquired by data acquisition of a vehicle through a sensor.
  12. The method for acquiring the remaining driving range of the vehicle according to any one of claims 1 to 11, wherein the vehicle is an electric vehicle, and the energy is an electric quantity.
  13. An electronic device based on a vehicle remaining driving mileage acquisition method is characterized by comprising a memory and a processor, wherein the processor is connected with the memory, and the memory is used for storing a computer program executed by the processor and intermediate data generated by the processor when the computer program is executed; the processor, when executing the computer program, implements the method for obtaining remaining driving range of a vehicle according to any one of claims 1 to 12.
  14. A vehicle characterized by comprising an electronic device according to the vehicle remaining mileage-based acquisition method of claim 13.
  15. An apparatus having a storage function, characterized in that the apparatus having a storage function stores program data executable to implement the method of acquiring remaining mileage of a vehicle according to any one of claims 1 to 12.
CN201880087436.5A 2018-09-07 2018-09-07 Method for acquiring remaining driving mileage of vehicle, electronic equipment and vehicle Active CN111670340B (en)

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