CN109606286A - Vehicle oil consumption prediction technique, automobile navigation method and electronic equipment - Google Patents
Vehicle oil consumption prediction technique, automobile navigation method and electronic equipment Download PDFInfo
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- CN109606286A CN109606286A CN201811502303.8A CN201811502303A CN109606286A CN 109606286 A CN109606286 A CN 109606286A CN 201811502303 A CN201811502303 A CN 201811502303A CN 109606286 A CN109606286 A CN 109606286A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
- B60R16/0232—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
- B60R16/0236—Circuits relating to the driving or the functioning of the vehicle for economical driving
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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
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/343—Calculating itineraries, i.e. routes leading from a starting point to a series of categorical destinations using a global route restraint, round trips, touristic trips
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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
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3469—Fuel consumption; Energy use; Emission aspects
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- 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
- Y02T10/80—Technologies aiming to reduce greenhouse gasses emissions common to all road transportation technologies
- Y02T10/84—Data processing systems or methods, management, administration
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- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Automation & Control Theory (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Navigation (AREA)
- Combined Controls Of Internal Combustion Engines (AREA)
Abstract
The present embodiments relate to automotive fields, disclose a kind of vehicle oil consumption prediction technique, comprising: obtain current vehicle and travel to target position to travel route；Current vehicle is obtained along the future travel state to travel route traveling, the future travel state includes at least the current vehicle in the future travel speed on travel route, and the future travel speed is the average overall travel speed of the vehicle to travel on travel route；According to the future travel state and described to travel route, the following fuel consumption of the current vehicle is predicted.Embodiment of the present invention also provides a kind of automobile navigation method and electronic equipment.Vehicle oil consumption prediction technique, automobile navigation method and electronic equipment provided by embodiment of the present invention enable to the fuel consumption of vehicle to predict more accurate.
Description
Technical field
The present embodiments relate to technical field of vehicle management, in particular to a kind of vehicle oil consumption prediction technique, vehicle are led
Boat method and electronic equipment.
Background technique
With the development of automotive engineering, increasingly serious environmental degradation pressure and petroleum exhaustion crisis, people are to automobile
Fuel consumption is increasingly paid close attention to.The factor for influencing vehicle oil consumption is numerous, such as the habit etc. that speed, driver are driven.Wherein,
Speed is widely used during vehicle oil consumption calculates and predicts as a key factor for influencing vehicle oil consumption.
However, it was found by the inventors of the present invention that usual being averaged within the past period according to vehicle in the prior art
The oil consumption in prediction of speed vehicle future.But it since Vehicle Speed can greatly be influenced by road driving situation, leads
Huge variation can be occurred within a short period of time by causing the travel speed of vehicle, therefore, this using in vehicle nearest a period of time
Average speed prediction vehicle future fuel consumption calculation method precision it is poor.
Summary of the invention
Be designed to provide a kind of vehicle oil consumption prediction technique, automobile navigation method and the electronics of embodiment of the present invention are set
It is standby, so that the prediction of the following fuel consumption of vehicle is more accurate.
In order to solve the above technical problems, embodiments of the present invention provide a kind of vehicle oil consumption prediction technique, comprising: obtain
Current vehicle is taken to travel to target position to travel route；Current vehicle is obtained along the following row to travel route traveling
Sail state, the future travel state includes at least the current vehicle in the future travel speed on travel route,
The future travel speed is the travel speed of the vehicle to travel on travel route；According to the future travel state and
It is described to travel route, predict the following fuel consumption of the current vehicle.
Embodiments of the present invention additionally provide a kind of automobile navigation method, comprising: obtain the initial position of current vehicle
The target position and；Obtain all travel routes between the initial position and the target position；According to vehicle oil above-mentioned
Consumption prediction technique predicts that the current vehicle is travelled along travel route described in every to the following fuel consumption of the target position；It obtains
Take travel route corresponding to the minimum value in the following fuel consumption as target travel route；According to the target travel road
Line navigates to the current vehicle.
Embodiments of the present invention additionally provide a kind of electronic equipment, comprising: at least one processor；And with it is described
The memory of at least one processor communication connection；Wherein, the memory, which is stored with, to be held by least one described processor
Capable instruction, described instruction are executed by least one described processor, so that at least one described processor is able to carry out as preceding
The vehicle oil consumption prediction technique stated.
Embodiment of the present invention in terms of existing technologies, obtain current vehicle after travel route, will be wait travel
Future travel speed of the average speed of the vehicle travelled on route as current vehicle, according to future travel speed and wait travel
Route predicts the following fuel consumption of current vehicle.Since the average speed of the vehicle to travel on travel route can be very good
Characterization to the actual road conditions on travel route, compared in the prior art " by current vehicle for the previous period in average speed make
For the future travel speed of current vehicle " way, will currently be travelled on to travel route in embodiment of the present invention
Vehicle average speed it is more accurate as the future travel speed of current vehicle.Therefore, according to future travel speed and to
The following fuel consumption of the current vehicle of travel route prediction is also more accurate.
In addition, the current vehicle that obtains is along the future travel state to travel route traveling, further includes: obtain institute
It states air-conditioning of the current vehicle at current time and opens situation, vehicle window unlatching situation, car weight and the road conditions to travel route
One or more of, wherein the road conditions include at least one or more of road gradient and the current wind speed of environment；It will
Air-conditioning of the current vehicle at current time opens situation, vehicle window opens situation, car weight and the road to travel route
One or more of condition and the future travel speed are as the future travel state.Due to vehicle fuel consumption simultaneously by
To air-conditioning opens situation, vehicle window opens various influences of situation, car weight and the road conditions to travel route, therefore,
The air-conditioning of current vehicle is opened into situation, vehicle window opens situation, car weight and the road conditions to travel route are the same as future travel speed
Together as the reference frame of future travel state, the accuracy of the following fuel consumption prediction can be further promoted.
In addition, it is described according to the future travel state and described to travel route, predict the future of the current vehicle
Fuel consumption specifically includes: obtaining the history running data sample of target vehicle, wherein the target vehicle be with it is described current
The identical vehicle of type of vehicle, the history running data sample include that the difference in the target vehicle history driving process is gone through
History unit mileage fuel consumption under history driving status and variant history driving status；According to the future travel state,
It is described to travel route and the history running data sample, predict the following fuel consumption of the current vehicle.Usage history row
It sails data sample and predicts the following fuel consumption, it is only necessary to which prediction can be obtained in the comparison for carrying out history driving status and future travel state
As a result, simplifying prediction process without carrying out complicated mathematical computations.
In addition, it is described according to the future travel state, it is described to travel route and the history running data sample, in advance
The following fuel consumption for surveying the current vehicle, specifically includes: establishing decision-tree model using the history running data sample, institute
The each node for stating decision-tree model includes one group of corresponding driving status value range and unit mileage fuel consumption；By described in not
Carry out driving status as parameter and substitute into the decision-tree model, obtains the node work for meeting preset condition in the decision-tree model
For destination node, the preset condition is that driving status value range included by the destination node includes the future travel
State；The unit mileage fuel consumption for being included using the destination node is as target unit mileage fuel consumption；According to described wait go
Sail route and the target unit mileage fuel consumption prediction following fuel consumption.
In addition, after the history running data sample for obtaining target vehicle, further includes: judge the history running data
Whether the sample size of sample is greater than preset threshold；If so, according to the future travel state, described to travel route and institute
History running data sample is stated, predicts the following fuel consumption of the current vehicle.
In addition, whether the sample size for judging the history driving status is greater than after preset threshold, further includes: if
It is no, then it obtains currently in the average value of the unit mileage fuel consumption of the vehicle to be travelled on travel route as target unit
Mileage fuel consumption；According to described to travel route and target unit mileage fuel consumption prediction following fuel consumption.
In addition, whether the sample size for judging the history driving status is greater than after preset threshold, further includes: if
It is no, then the factory parameter of the current vehicle is obtained, the factory parameter includes at least the current vehicle in each traveling shape
Standard unit's mileage fuel consumption under state；It obtains in the factory parameter, the traveling identical with the future travel state
Standard unit's mileage fuel consumption corresponding to state is as the target unit mileage fuel consumption；According to it is described to travel route and
The target unit mileage fuel consumption prediction following fuel consumption.
In addition, the current vehicle that obtains specifically includes: along the future travel state to travel route traveling by institute
State be divided into travel route it is multiple to running section；Prediction is each described to section future row corresponding to running section respectively
Sail state；It is described according to the section future travel state and described to travel route, predict the following consumption of the current vehicle
Oil mass specifically includes: according to each section future travel state and described to running section, predicting each described wait travel
The section future fuel consumption in section；Using the summation of the section future fuel consumption as the following fuel consumption of the current vehicle.
It will be subdivided into travel route multiple to running section, and each section future fuel consumption to running section be calculated separately, by road
The sum of following fuel consumption of section is as entirely to the following fuel consumption on travel route, further promotion prediction result is accurate
Property.
Detailed description of the invention
One or more embodiments are illustrated by the picture in corresponding attached drawing, these exemplary theorys
The bright restriction not constituted to embodiment, the element in attached drawing with same reference numbers label are expressed as similar element, remove
Non- to have special statement, composition does not limit the figure in attached drawing.
Fig. 1 is the core procedure flow chart of embodiment of the present invention；
Fig. 2 is the program flow diagram of vehicle oil consumption prediction technique provided by first embodiment of the invention；
Fig. 3 is the schematic diagram that vehicle fuel consumption is opened that situation and vehicle window unlatching situation are influenced by air-conditioning；
Fig. 4 is the schematic diagram that vehicle fuel consumption is influenced by car weight；
Fig. 5 is the program flow diagram of vehicle oil consumption prediction technique provided by second embodiment of the invention；
Fig. 6 is the program flow diagram of vehicle oil consumption prediction technique provided by third embodiment of the invention；
Fig. 7 is the program flow diagram of automobile navigation method provided by four embodiment of the invention；
Fig. 8 is the program flow diagram of electronic equipment provided by fifth embodiment of the invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Each embodiment be explained in detail.However, it will be understood by those skilled in the art that in each embodiment party of the present invention
In formula, many technical details are proposed in order to make reader more fully understand the present invention.But even if without these technical details
And various changes and modifications based on the following respective embodiments, claimed technical solution of the invention also may be implemented.
Referring to Fig. 1, the core of embodiment of the present invention is: step S101: obtaining current vehicle and travels to target position
To travel route.Step S102: current vehicle is obtained along the future travel state to travel route traveling, future travel state
Including at least current vehicle to the future travel speed on travel route, future travel speed on travel route to travel
The average overall travel speed of vehicle.Step S103: according to future travel state and to travel route, the current vehicle is predicted not
Carry out fuel consumption.Embodiment of the present invention passes through the average overall travel speed of the vehicle to travel on travel route as current vehicle
Future travel speed, according to the following fuel consumption of future travel prediction of speed current vehicle, so that the following fuel consumption of vehicle
Prediction it is more accurate, the error of prediction result is smaller.Below to vehicle oil consumption prediction technique provided by present embodiment
Realize details be specifically described, the following contents only for convenience of understand provide realization details, not implement this programme must
Palpus.
The first embodiment of the present invention is related to a kind of vehicle oil consumption prediction technique, detailed process is as shown in Figure 2, comprising:
Step S201: it obtains current vehicle and travels to target position to travel route.
Specifically, in this step, terminal obtains the current location of current vehicle first and user inputs at the terminal
Target position obtains the travel route that current location is travelled to target position according to navigation software and is used as to travel route.It can be with
Understand, current location can be the position that user inputs at the terminal, be also possible to position by global position system GPS
Current vehicle position, can specifically be determined according to the actual situation.
Step S202: current vehicle is obtained along the future travel state to travel route traveling.
Specifically, in this step, future travel state includes at least current vehicle and travels to the following row of target position
Sail speed.Future travel speed is the average overall travel speed to be currently at the vehicle of driving status on travel route.
In addition, in the present embodiment, future travel state further include current vehicle on to travel route when driving
Air-conditioning opens one or more of situation, vehicle window unlatching situation, car weight and traveling road conditions.It should be noted that such as Fig. 3 institute
Show, the fuel consumption of vehicle and the air-conditioning of vehicle are opened and contacted between situation and vehicle window unlatching situation in the presence of certain, and air-conditioning is opened
When, fuel consumption of the vehicle under identical driving status is bigger, when opening vehicle window, oil consumption of the vehicle under identical driving status
Amount is also bigger.As shown in figure 4, there is also certain to contact between the fuel consumption of vehicle and the car weight of vehicle, the car weight of vehicle is got over
Greatly, the fuel consumption of vehicle is bigger, wherein car weight includes the weight of vehicle entirety, i.e., comprising vehicle weight itself, loading cargo weight
The gross vehicle load of amount and passenger weight.In addition, traveling road conditions equally influence whether the fuel consumption of vehicle, wherein travelling road conditions
Including one or more of the current wind speed of environment, road gradient, pot hole degree and bend quantity etc..It is understood that
It is that above-mentioned air-conditioning opens the citing that situation, car weight and ambient wind velocity are only some influence factors in present embodiment, influences
The factor of vehicle fuel consumption is there are also very much, such as vehicle window opens situation, environment wind direction specifically may be used herein without enumerating
To be selected according to the actual situation.
Further, in the present embodiment, it obtains air-conditioning of the current vehicle at current time and opens situation as current
Vehicle opens situation in the air-conditioning on to travel route when driving, and the vehicle window for obtaining current vehicle at current time opens situation
Situation is opened in the vehicle window on to travel route when driving as current vehicle, obtains current vehicle in the car weight at current time
As current vehicle in the car weight on to travel route when driving, acquisition current time waits for the traveling road conditions conduct of travel route
Current vehicle is in the future travel road conditions on to travel route when driving.
Step S203: the history running data sample of target vehicle is obtained.
Specifically, in this step, target vehicle is vehicle identical with current vehicle type, history running data sample
History driving status including target vehicle and the history unit mileage fuel consumption under each history driving status.Wherein, it goes through
Content included in history driving status is identical as content included in future travel state.I.e. if future travel state packet
Future travel speed and car weight are included, also must include the history travel speed and car weight of target vehicle in history driving status.
Step S204: according to future travel state, to travel route and history running data sample, current vehicle is predicted
The following fuel consumption.
Specifically, establishing decision-tree model, each node packet of decision-tree model first with history running data sample
Include one group of corresponding driving status value range and unit mileage fuel consumption.In the present embodiment, according to history running data
The type of driving status included in sample is layered decision-tree model, and each layer represents a type of traveling shape
State.Then, decision-tree model is substituted into using future travel state as parameter, obtains the section for meeting preset condition in decision-tree model
Point is used as destination node, wherein preset condition is that driving status value range included by destination node includes future travel shape
State obtains unit mileage fuel consumption included in destination node as target unit mileage fuel consumption.
According to target unit mileage fuel consumption and to travel route, be calculated current vehicle along to travel route travel to
The following fuel consumption of target position.
First embodiment of the invention in terms of existing technologies, by the average speed of the vehicle to be travelled on travel route
The future travel speed as current vehicle is spent, since the average speed of the vehicle to travel on travel route can be very good table
Sign to the actual road conditions on travel route, compared to the prior art in " by current vehicle for the previous period in average speed make
For the future travel speed of current vehicle " way, the average speed of the vehicle to travel on travel route is as current vehicle
Future travel speed it is more accurate so that the prediction of the following fuel consumption of vehicle is more accurate, the error of prediction result
It is smaller.Further, the following fuel consumption, the further precision for promoting prediction are predicted jointly using a variety of driving status.This
Outside, usage history running data sample sample as a comparison directly acquires the following fuel consumption by comparison, complicated without carrying out
Mathematical computations simplify prediction process.
Second embodiment of the present invention is related to a kind of vehicle oil consumption prediction technique.Second embodiment and the first embodiment party
Formula is roughly the same, is in place of the main distinction: in the first embodiment, usage history driving status obtains the following fuel consumption.
And in second embodiment of the invention, it can also be by the average consumprion to the driving vehicle on travel route as current
The following fuel consumption of vehicle.As shown in Figure 5, comprising:
Step 50S501: it obtains current vehicle and travels to target position to travel route.
Step 50S502: current vehicle is obtained along the future travel state to travel route traveling.
Step 50S503: the history running data sample of target vehicle is obtained.
Substantially due to the step S501 to S503 in present embodiment and the step S201 to S203 in first embodiment
Identical, details are not described herein.
Step S504: judging whether the sample size of history running data sample is greater than preset threshold, if so, executing step
Rapid S505, if it is not, thening follow the steps S506.
Specifically, in this step, obtaining the sample size of history running data sample first, then judgement sample quantity
Whether preset threshold is greater than, if so, S505 is thened follow the steps, if it is not, thening follow the steps S506.Wherein, preset threshold can root
It is flexibly set according to actual needs, herein without limiting.
Step S505: according to future travel state, to travel route and history running data sample, current vehicle is predicted
The following fuel consumption.
Since the step S505 in present embodiment is roughly the same with the step S204 in first embodiment, herein no longer
It repeats.
Step S506: the average consumprion of the vehicle to travel on travel route is obtained as the following fuel consumption.
Specifically, in this step, the unit mileage fuel consumption of each vehicle to travel on travel route is obtained first,
The average value for calculating the unit mileage fuel consumption for each vehicle that these wait for travelling on travel route, using the average value as target
Unit mileage fuel consumption.Then according to target unit mileage fuel consumption and to travel route, current vehicle is calculated along wait go
Sail the following fuel consumption of route running to target position.
Second embodiment of the invention in terms of existing technologies, by the average speed of the vehicle to be travelled on travel route
The future travel speed as current vehicle is spent, since the average speed of the vehicle to travel on travel route can be very good table
Sign to the actual road conditions on travel route, compared to the prior art in " by current vehicle for the previous period in average speed make
For the future travel speed of current vehicle " way, the average speed of the vehicle to travel on travel route is as current vehicle
Future travel speed it is more accurate so that the prediction of the following fuel consumption of vehicle is more accurate, the error of prediction result
It is smaller.Further, the following fuel consumption, the further precision for promoting prediction are predicted jointly using a variety of driving status.This
Outside, when the sample size of history running data sample is greater than preset threshold, usage history running data sample sample as a comparison
This, directly acquires the following fuel consumption by comparison, without carrying out complicated mathematical computations, simplifies prediction process.When history row
When sailing the sample size of data sample no more than preset threshold, predicted according to the average consumprion to driving vehicle on travel route
The following fuel consumption, it is same without carrying out complicated mathematical computations, simplify prediction process.
Third embodiment of the present invention is related to a kind of vehicle oil consumption prediction technique.Third embodiment and the first embodiment party
Formula is roughly the same, is in place of the main distinction: in the first embodiment, usage history driving status obtains the following fuel consumption.
And in second embodiment of the invention, the factory parameter prediction future fuel consumption of current vehicle can also be passed through.Such as Fig. 6 institute
Show, comprising:
Step S601: it obtains current vehicle and travels to target position to travel route.
Step S602: current vehicle is obtained along the future travel state to travel route traveling.
Step S603: the history running data sample of target vehicle is obtained.
Step S604: judging whether the sample size of history running data sample is greater than preset threshold, if so, executing step
Rapid S605, if it is not, thening follow the steps S606.
Step S605: according to future travel state, to travel route and history running data sample, current vehicle is predicted
The following fuel consumption.
Substantially due to the step S601 to S605 in present embodiment and the step S601 to S605 in second embodiment
Identical, details are not described herein.
Step S606: obtain current vehicle goes out field parameters, consumes according to parameter and future travel status predication future is produced
Oil mass.
Specifically, in this step, obtaining the factory parameter of current vehicle, current vehicle is included at least in parameter of dispatching from the factory and is existed
Unit mileage fuel consumption under each driving status value range.Obtain the traveling produced in parameter, comprising future travel state
State value range obtains the unit mileage fuel consumption corresponding to it as target unit mileage fuel consumption；According to road to be travelled
Line and the target unit mileage fuel consumption prediction following fuel consumption.
Third embodiment of the invention in terms of existing technologies, by the average speed of the vehicle to be travelled on travel route
The future travel speed as current vehicle is spent, since the average speed of the vehicle to travel on travel route can be very good table
Sign to the actual road conditions on travel route, compared to the prior art in " by current vehicle for the previous period in average speed make
For the future travel speed of current vehicle " way, the average speed of the vehicle to travel on travel route is as current vehicle
Future travel speed it is more accurate so that the prediction of the following fuel consumption of vehicle is more accurate.Further, using more
Kind driving status predicts the following fuel consumption, the further precision for promoting prediction jointly.In addition, working as history running data sample
Sample size when being greater than preset threshold, usage history running data sample sample as a comparison is directly acquired not by comparison
Carry out fuel consumption, without carrying out complicated mathematical computations, simplifies prediction process.When history running data sample sample size not
When greater than preset threshold, according to the factory parameter of current vehicle and future travel state vs, to predict the following fuel consumption, together
Sample simplifies prediction process without carrying out complicated mathematical computations.
In addition, in other embodiments of the invention, can also will be divided into travel route it is multiple to running section, point
Do not obtain it is each to future travel state in section corresponding to running section, according to section future travel state and aforementioned embodiment party
Vehicle oil consumption prediction technique provided in formula predicts section future fuel consumption corresponding to each running section, by all roads
The following fuel consumption summation of section, obtains current vehicle edge and travels to travel route to the following fuel consumption of target position.
Four embodiment of the invention is related to a kind of automobile navigation method, as shown in fig. 7, comprises,
Step S701: the initial position and target position of current vehicle are obtained.
Specifically, in the present embodiment, the position of family input can be used in initial position, it is fixed by the whole world to be also possible to
The position of the current vehicle of position system GPS positioning, herein without limiting.Target position is the position of user's input.It can manage
Solution, in the present embodiment, target position can be specific geographical location, such as Shenzhen City, Guangdong Province Nanshan District street XX
Road XX, is also possible to landmark names, for example, park, gas station, convenience store and Internet bar etc..
Step S702: all travel routes between the initial position and the target position are obtained.
Specifically, in the present embodiment, when target position is specific geographical location, obtaining and being travelled from initial position
To all travel routes of target position.When target position is landmark names, after obtaining terrestrial reference all in a certain range, obtain
Current location is taken to travel to all travel routes of all terrestrial references.
Step S703: according to vehicle oil consumption prediction technique predict the current vehicle along travel route described in every travel to
The following fuel consumption of the target position.
Specifically, in this step, vehicle oil consumption prediction technique is the prediction of vehicle oil consumption provided by above embodiment
Method.
Step S704: travel route corresponding to the minimum value in the following fuel consumption is obtained as target travel road
Line.
Step S705: it navigates according to the target travel route to the current vehicle.
Compared with prior art, automobile navigation method provided by present embodiment obtains the initial position of current vehicle
All travel routes between target position, the vehicle oil consumption prediction technique according to provided by above embodiment are predicted respectively
The oil consumption of every travel route navigates to vehicle according to the smallest travel route of oil consumption.Choose the smallest traveling road of oil consumption
Line navigates to vehicle, to effectively save the oil consumption of automobile.
The step of various methods divide above, be intended merely to describe it is clear, when realization can be merged into a step or
Certain steps are split, multiple steps are decomposed into, as long as including identical logical relation, all in the protection scope of this patent
It is interior；To adding inessential modification in algorithm or in process or introducing inessential design, but its algorithm is not changed
Core design with process is all in the protection scope of the patent.
Fifth embodiment of the invention is related to a kind of electronic equipment, as shown in Figure 8, comprising: at least one processor 801；
And the memory 802 with the communication connection of at least one processor 801；Wherein, be stored with can be by least one for memory 802
The instruction that processor 801 executes, instruction is executed by least one processor 801, so that at least one processor 801 is able to carry out
Such as above-mentioned vehicle oil consumption prediction technique.
Wherein, memory 802 is connected with processor 801 using bus mode, and bus may include any number of interconnection
Bus and bridge, bus is by one or more processors 801 together with the various circuit connections of memory 802.Bus may be used also
With by such as peripheral equipment, voltage-stablizer, together with various other circuit connections of management circuit or the like, these are all
It is known in the art, therefore, it will not be further described herein.Bus interface provides between bus and transceiver
Interface.Transceiver can be an element, be also possible to multiple element, such as multiple receivers and transmitter, provide for
The unit communicated on transmission medium with various other devices.The data handled through processor 801 pass through antenna on the radio medium
It is transmitted, further, antenna also receives data and transfers data to processor 801.
Processor 801 is responsible for management bus and common processing, can also provide various functions, including timing, periphery connects
Mouthful, voltage adjusting, power management and other control functions.And memory 802 can be used for storage processor 801 and execute
Used data when operation.
It will be understood by those skilled in the art that the respective embodiments described above are to realize specific embodiments of the present invention,
And in practical applications, can to it, various changes can be made in the form and details, without departing from the spirit and scope of the present invention.
Claims (10)
1. a kind of vehicle oil consumption prediction technique characterized by comprising
Current vehicle is obtained to travel to target position to travel route；
Current vehicle is obtained along the future travel state to travel route traveling, the future travel state includes at least institute
Current vehicle is stated in the future travel speed on travel route, the future travel speed is described on travel route
The travel speed of the vehicle of traveling；
According to the future travel state and described to travel route, the following fuel consumption of the current vehicle is predicted.
2. vehicle oil consumption prediction technique according to claim 1, which is characterized in that described according to the future travel state
With described to travel route, predict the following fuel consumption of the current vehicle, specifically includes:
Obtain the history running data sample of target vehicle, wherein the target vehicle is identical as the current vehicle type
Vehicle, the history running data sample include the different history driving status in the target vehicle history driving process with
And the history unit mileage fuel consumption under variant history driving status；
According to the future travel state, described to travel route and the history running data sample, prediction is described to work as front truck
The following fuel consumption.
3. vehicle oil consumption prediction technique according to claim 2, which is characterized in that described according to the future travel shape
State, it is described predict the following fuel consumption of the current vehicle to travel route and the history running data sample, it is specific to wrap
It includes:
Decision-tree model is established using the history running data sample, each node of the decision-tree model includes one group pair
The driving status value range and unit mileage fuel consumption answered；
The decision-tree model is substituted into using the future travel state as parameter, obtains to meet in the decision-tree model and preset
For the node of condition as destination node, the preset condition is that driving status value range included by the destination node includes
The future travel state；
The unit mileage fuel consumption for being included using the destination node is as target unit mileage fuel consumption；
According to described to travel route and target unit mileage fuel consumption prediction following fuel consumption.
4. vehicle oil consumption prediction technique according to claim 2, which is characterized in that the history row for obtaining target vehicle
After sailing data sample, further includes:
Judge whether the sample size of the history running data sample is greater than preset threshold；
If so, according to the future travel state, described to travel route and the history running data sample, described in prediction
The following fuel consumption of current vehicle.
5. vehicle oil consumption prediction technique according to claim 4, which is characterized in that the judgement history driving status
Sample size whether be greater than after preset threshold, further includes:
If it is not, then obtaining currently in the average value of the unit mileage fuel consumption of the vehicle to be travelled on travel route as mesh
Mark unit mileage fuel consumption；
According to described to travel route and target unit mileage fuel consumption prediction following fuel consumption.
6. vehicle oil consumption prediction technique according to claim 4, which is characterized in that the judgement history driving status
Sample size whether be greater than after preset threshold, further includes:
If it is not, then obtaining the factory parameter of the current vehicle, the factory parameter includes at least the current vehicle each
Standard unit's mileage fuel consumption under driving status value range；
It obtains in the factory parameter, standard corresponding to the driving status value range comprising the future travel state
Unit mileage fuel consumption is as target unit mileage fuel consumption；
According to described to travel route and target unit mileage fuel consumption prediction following fuel consumption.
7. vehicle oil consumption prediction technique according to claim 1, which is characterized in that the acquisition current vehicle along it is described to
The future travel state of travel route traveling, further includes:
Obtain that air-conditioning of the current vehicle at current time opens situation, vehicle window opens situation, car weight and described wait travel
One or more of road conditions of route, wherein the road conditions are including at least one in road gradient and the current wind speed of environment
Person or more persons；
Air-conditioning by the current vehicle at current time opens situation, vehicle window opens situation, car weight and the road to be travelled
One or more of road conditions of line and the future travel speed are as the future travel state.
8. vehicle oil consumption prediction technique according to claim 1, which is characterized in that the acquisition current vehicle along it is described to
The future travel state of travel route traveling, specifically includes:
By it is described be divided into travel route it is multiple to running section；
Prediction is each described to future travel state in section corresponding to running section respectively；
It is described according to the section future travel state and described to travel route, predict the following oil consumption of the current vehicle
Amount, specifically includes:
According to each section future travel state and described to running section, each section to running section is predicted
The following fuel consumption；
Using the summation of the section future fuel consumption as the following fuel consumption of the current vehicle.
9. a kind of automobile navigation method characterized by comprising
Obtain the initial position and target position of current vehicle；
Obtain all travel routes between the initial position and the target position；
Predict the current vehicle along row described in every to any vehicle oil consumption prediction technique in 8 according to claim 1
Sail the following fuel consumption of route running to the target position；
Travel route corresponding to the minimum value in the following fuel consumption is obtained as target travel route；
It navigates according to the target travel route to the current vehicle.
10. a kind of electronic equipment characterized by comprising
At least one processor；And
The memory being connect at least one described processor communication；Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
It manages device to execute, so that at least one described processor is able to carry out the prediction of the vehicle oil consumption as described in any in claim 1 to 8
Method.
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| TWI773880B (en) | 2022-08-11 |
| TW202022718A (en) | 2020-06-16 |
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