CN107844613A - Electric car continuation of the journey management method based on data analysis - Google Patents
Electric car continuation of the journey management method based on data analysis Download PDFInfo
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- CN107844613A CN107844613A CN201610826054.2A CN201610826054A CN107844613A CN 107844613 A CN107844613 A CN 107844613A CN 201610826054 A CN201610826054 A CN 201610826054A CN 107844613 A CN107844613 A CN 107844613A
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- G06F30/20—Design optimisation, verification or simulation
Abstract
A kind of electric car continuation of the journey management method based on data analysis, including：Collect relevant mileage, battery status, the user operation for coming from more automobiles, the historical data of vehicle-state, and the historical data of corresponding vehicle local environment；Formed based on collected historical data and be directed to battery power consumption model, the battery power consumption model characterizes the relevance of the environmental data and battery power consumption residing for user's operation data, vehicle status data and the vehicle；Following one or more are included based on battery power consumption model and relation data, the course continuation mileage of battery dump energy estimation electric car, the relation data：User operates preference, current vehicle condition, Current vehicle local environment.Electric car course continuation mileage based on model estimation is more accurate.
Description
Technical field
The present invention relates to big data to analyze application technology, the electric car continuation of the journey manager more particularly to based on data analysis
Method.
Background technology
With the enhancing of people's environmental consciousness, increasing people can tend to buy electric car to substitute traditional gasoline
Car.Due to the battery technology not yet full maturity of the power source as electric car, the course continuation mileage of electric car comes with respect to gasoline car
Say shorter.In addition, although charging pile equipment gradually increases, its distributed degrees can not show a candle to current gas station.Thus, to electronic
The estimation of the course continuation mileage of car is a hot issue all the time.
Conventional course continuation mileage estimation mode is electric according to the mean consumption situation of daily battery and the residue of battery at present
Measure to carry out.But this mode simultaneously may not be certain to be suitable for each electric car.And criterion is not made often for course continuation mileage estimation
The consequence for exhausting and casting anchor into Vehicular battery.
The content of the invention
The present invention solves the problems, such as to be to provide a kind of electric car continuation of the journey management method based on data analysis, with to electric car
Battery dump energy can course continuation mileage provide targetedly predict.
In order to solve the above problems, electric car continuation of the journey management method of the present invention based on data analysis, including：
Relevant mileage, battery status, the user operation for coming from more automobiles, the historical data of vehicle-state are collected, with
And the historical data of corresponding vehicle local environment；
Formed based on collected historical data and be directed to battery power consumption model, the battery power consumption model characterizes
The relevance of environmental data and battery power consumption residing for user's operation data, vehicle status data and the vehicle；
Based on battery power consumption model and relation data, the course continuation mileage of battery dump energy estimation electric car, institute
Stating relation data includes following one or more：User operates preference, current vehicle condition, Current vehicle local environment.
Compared with prior art, such scheme has advantages below：The advantage of big data is made full use of, is obtained and battery electricity
Amount consumes closely related factor.So as to which the electric car course continuation mileage based on model estimation is more accurate.
Brief description of the drawings
Fig. 1 is a kind of embodiment schematic diagram of electric car continuation of the journey management method of the present invention based on data analysis；
Fig. 2 is a kind of embodiment configuration diagram for realizing the inventive method；
Fig. 3 is the schematic diagram of high in the clouds and more automobile interworking in a kind of embodiment for realize the inventive method.
Embodiment
In the following description, many details are elaborated to make person of ordinary skill in the field more fully
Understand the present invention.But for the technical staff in art it is evident that the realization of the present invention can not have these
Some in detail.However, it should be understood that the present invention is not limited to introduced specific embodiment.On the contrary, can be with
Consider to implement the present invention with any combination of following feature and key element, regardless of whether they are related to different embodiments.
Therefore, aspect, feature, embodiment and advantage below is used and is not construed as the key element or limit of claim for illustrative purposes only
It is fixed, unless clearly proposing in the claims.
The battery mean consumption situation that background technology refers to is based on the sample statistics that a certain amount of battery uses and obtained
, but it may be from the historical data of different types of electric car, different drivers, may not really be adapted to each spy
Fixed electric car.The present inventor thinks, the disposal ability by current cloud service to mass data, can gather a large amount of
Electric car data of caused data and electric car local environment in itself, therefrom to obtain the factor for influenceing battery electric quantity.This
The inventor of invention is also believed that even for same electric automobile, the driver behavior of different drivers (such as anxious acceleration/urgency
Deceleration/brake number etc.), the operation (such as driving lamp/air-conditioning etc.) to equipment on car, the road conditions (pitch of different roads in itself
Road surface/cement pavement/road gradient/surface evenness/road surface camber etc.), traffic on road (congestion/smooth etc.), very
To weather condition (temperature/humidity/fine day/rain/strong wind weather) etc. can all respective influence be produced on the electric quantity consumption of battery,
And the accurate analysis for battery power consumption could be obtained only after factors are considered.
Specifically, it is real according to one kind of electric car continuation of the journey management method of the present invention based on data analysis shown in reference picture 1
Mode is applied, it includes：
Step 10, relevant mileage, battery status, the user operation for coming from more automobiles, the history of vehicle-state are collected
Data, and the historical data of corresponding vehicle local environment；
Step 20, formed based on collected historical data and be directed to battery power consumption model, the battery power consumption
Model characterizes environmental data residing for user's operation data, vehicle status data and the vehicle and battery power consumption
Relevance；
Step 30, based on battery power consumption model and relation data, the continuation of the journey of battery dump energy estimation electric car
Mileage, the relation data include following one or more：User operates preference, current vehicle condition, ring residing for Current vehicle
Border.
It should be noted that in order to obtain accurate battery electric quantity model, it is necessary to go to obtain the dependency number of many automobiles
According to avoid producing unilateral modeling result.Thus, current big data application mode will cause the output result of the present invention more
Accurately.Also, output result is more accurate in order that obtaining, in addition to obtaining the related data of many automobiles, to same vapour
Car, above-mentioned history battery status data, historic user operation data, history vehicle-state in distance can also be obtained
Data, and the history environment data residing for corresponding vehicle.
User's operation data can include any one of following or combination：Plus/minus speed operation data, turn to data, be right
The operation data of in-car electronic equipment.The vehicle status data can include any one of following or combination：Speed, present bit
Put, yaw-rate, linear acceleration, air-conditioning set (temperature, air quantity etc.), entertainment systems to set (volume of music etc.), motor mould
Formula sets (general mode, motor pattern etc.).The environmental data includes following any one or combinations：Weather, road conditions, vehicle
Position, traffic.The battery status data can include it is following any one or more：Battery pack configuration, battery size,
Usage time, peak value export electricity for battery consumption speed, charging duration, charging times in unit interval, battery.The use
Family operation preference data is according to being obtained after collected user's operational data analysis.As the above-mentioned, user operates
Data include user driver behavior data (plus/minus speed, turn to etc.) and user to the operation data of in-car electronic equipment,
The driving behavior preference of user and use preference to in-car electronic equipment can be obtained by analyzing these data, and these are inclined
It is good also the estimation of course continuation mileage all to be had an impact.
Include multiple subsystems in current electric vehicle system, be respectively used to perform the various functions of automobile.It is for example, electric
Machine system is responsible for the running of controlled motor；Battery management system is responsible for the management of battery pack；Chassis and brakes are responsible for automobile
Braking and vehicle traveling process in the stable control of vehicle body；Body control system is responsible for antitheft and car bulb the control of automobile
System；And the sensor of various internal or external data snooping functions is provided, etc..Therefore, each vehicle sub-systems can all have
One electronic control unit (ECU) is responsible for realizing the operation such as communication needed for respective function, data processing.Also, due to mesh
Vehicle bus is all configured with preceding automotive system, each electronic control unit can be easily by the operation of respective system
Data, the operation data of user (including to the operation data of in-car electronic equipment and driver behavior data of driver) and biography
The environmental data that sensor detects uploads to vehicle bus.By vehicle bus, other vehicle sub-systems can also obtain phase
Close data.The realization of the inventive method is also based on this mode to operate.
Fig. 2 is illustrated to realize a kind of framework of embodiment of the inventive method.Shown in reference picture 2, automobile it is each
The electronic control unit of subsystem all establishes communication connection with vehicle bus, and vehicle-mounted end also establishes communication link with vehicle bus
Connect.
Vehicle-mounted end includes：Vehicle bus communication module, data communication module, data acquisition module, message processing module
And human-computer interaction module.
Vehicle bus communication module, it provides vehicle bus communication interface, to establish the logical of vehicle-mounted end and vehicle bus
Letter connection.
Data communication module, it provides the communication interface of automobile access network, flat to establish vehicle-mounted end and high in the clouds analysis
The communication connection of platform.
Data acquisition module, by the communication of vehicle bus communication module and vehicle bus, it can be obtained from vehicle bus
Obtain the information that the electronic control unit of other vehicle sub-systems is uploaded on vehicle bus.Just include each automobile in these information
Service data, user's operation data and the environmental data of subsystem.For example, battery management system meeting uploads of battery status data,
For body control system meeting upload user to the operation data of light, vehicle-mounted information and entertainment system can radio reception of the upload user to in-car
The operation data of the equipment such as machine, music player, air-conditioning, Vehicle positioning system can upload vehicle position data, etc..
Message processing module, the Various types of data obtained to data acquisition module arrange, such as by Various types of data by number
Classifying packing etc. is carried out according to type (mileage/user's operation data/vehicle status data/environmental data/battery status data)；
After arrangement, related data is sent to by high in the clouds Data Analysis Platform by data communication module.Subsequently, for high in the clouds data point
The data that analysis platform issues are parsed, handled, and the data after processing are sent into human-computer interaction module.Certainly, for letter
The demand of breath transmission safety, message processing module data can also be encrypted after data are arranged, only by encrypted number
According to being sent to high in the clouds Data Analysis Platform.
High in the clouds Data Analysis Platform, stored after the above-mentioned Various types of data of vehicle-mounted end transmission is obtained.Also, high in the clouds number
The data for coming from environment information database and driving behavior database can be also collected according to analysis platform, by these data combination cars
Carry the data that end uploads to be analyzed, to form battery power consumption model.Battery power consumption model can be according to electric car
Middle battery pack configuration/battery size carries out classification preservation.
Wherein, the data in driving behavior database can be that high in the clouds Data Analysis Platform transmission comes from vehicle-mounted end
Driver behavior data and vehicle status data, it can be handled by these data and obtain driving behavior data.For example, according to braking
The driver behavior and car speed that pedal is trampled are die-offed, and can obtain the driving behavior brought to a halt in contrast.When
So, can also be integrated in Data Analysis Platform beyond the clouds according to the configuration of real resource, driving behavior database.
And environment information database can then provide the environmental information data based on time, place.When vehicle-mounted end is uploaded to
When the packet of high in the clouds Data Analysis Platform is containing time, vehicle position information, environment information database can retrieve acquisition accordingly
Environmental information data in the time, vehicle location location, such as the data such as the weather of there and then, road conditions, traffic.
For the electric car of some emphasis costs, it may not necessarily configure many sensors for being used to measure surrounding enviroment.And environment
Information database can temporarily fail to be supplemented by the environmental information data that vehicle obtains to this, to cause high in the clouds data analysis to put down
Platform can obtain more accurately analysis result.Certainly, if future electric car it is all configured it is very perfect, for measuring periphery
The sensor of environment, environment information database can not be also configured, and these environmental information data are directly uploaded by vehicle-mounted end.
The battery power consumption model includes the data type related to battery power consumption, and the data type pair
In the influence relation (being characterized by formula or other forms) of battery power consumption.And quantum chemical method related data
Influence of the change of type for battery power consumption.Further, the driving that may be formed as saving electricity and provide
It is recommended that, about battery types used in each model electric car and each electric car using analysis report, etc..High in the clouds data analysis is put down
Battery power consumption model that platform is formed, drive advice, using analysis report etc. vehicle-mounted end can be issued to by information processing
Module obtains.
Human-computer interaction module, its data sent according to message processing module, presented by way of image and/or sound
To user.For example, course continuation mileage is reminded into user with sound/image mode；Drive advice is shown to sound/image mode
User, etc..
Such as foregoing refer to, to cause the output result of the inventive method more accurate, the side of big data processing can be applied
Formula.Thus, in a kind of embodiment of the invention, the interworking between each automobile and high in the clouds Data Analysis Platform can be such as Fig. 3 institutes
Show.Assuming that each automobile all employs (can also use different knots completely certainly from the vehicle-mounted end identical structure shown in Fig. 2
Structure), with reference to shown in Fig. 2 and Fig. 3, each automobile is by respective history mileage, history battery status data, historic user operand
According to, history vehicle status data, and history environment data residing for corresponding vehicle be uploaded to high in the clouds Data Analysis Platform (or
Also data needed for analysis modeling can be obtained by the data interaction with driving behavior database, environment information database).Work as high in the clouds
After data platform completion data analysis obtains battery power consumption model, it is possible to reference to battery model and above-mentioned relation
Data (these data are also uploaded by vehicle-mounted end or obtained by driving behavior database/environment information database) and remaining battery
Electricity estimates course continuation mileage.Also, above-mentioned drive advice can be also generated on this basis.Then, then by related data issue
Into corresponding automobile, so that corresponding information is presented to user by the vehicle-mounted end in automobile.So as to which user can prepare electricity in advance
The charging of motor-car, avoid casting anchor because battery exhausts.Analysis report is used in addition, being formed according to battery power consumption model,
Vehicle manufacture manufacturer or battery production manufacturer are provided to, with optimization design.
Data based on having the above-mentioned model by battery power consumption, high in the clouds Data Analysis Platform can carry to electric car
For abundant continuation of the journey management service.In addition to the information of basic offer course continuation mileage, can also by pre-set or according to
The man-machine interactive operation of user at that time provides other continuation of the journey management services.
Application examples one：When user starts electric car, the battery pack that high in the clouds Data Analysis Platform uploads according to vehicle-mounted end is matched somebody with somebody
Put, battery power consumption model corresponding to battery size information is found, with reference to the weather condition and electricity of the electric car present position
Pond dump energy estimates course continuation mileage.After course continuation mileage is obtained, high in the clouds Data Analysis Platform continues to advise based on navigation way
The cartographic information that platform provides is drawn, searches the charging pile in the range of course continuation mileage.Also, the charging pile found is marked on ground
Vehicle-mounted end is issued on figure.So as to so that user can not only obtain course continuation mileage by human-computer interaction module, moreover it is possible to be filled
The positional information of electric stake, route planning is carried out preferably to combine the destination of this stroke.
Application examples two：On the basis of application examples one, based on user by human-computer interaction module on map it is selected
Charging pile, the navigation equipment carried by navigation route planning platform or electric car itself, provides a user and reaches the charging pile
Route.
Application examples three：When user drives electric car traveling on the way, high in the clouds Data Analysis Platform uploads according to vehicle-mounted end
Battery pack configuration, battery size information find corresponding to battery power consumption model, with reference to the driving behavior preference (example of user
Such as the user drive like anxious acceleration) and/or user to in-car electronic equipment use preference (such as the user like long-time
Turn on the aircondition), current vehicle speed, the weather condition of the electric car present position, the electric car present position front traffic
And battery dump energy estimates course continuation mileage.After course continuation mileage is obtained, high in the clouds Data Analysis Platform continues based on navigation road
The cartographic information that line planning platform provides, search the charging pile in the range of course continuation mileage.Also, the charging pile found is marked
Vehicle-mounted end is issued on map.So as to so that user can not only obtain course continuation mileage by human-computer interaction module, moreover it is possible to obtain
The positional information of charging pile is obtained, route planning or adjustment route planning are carried out preferably to combine the destination of this stroke.
Application examples four：On the basis of application examples three, if the existing route planning of current electric car, high in the clouds data analysis are put down
The navigation equipment that platform or vehicle-mounted end itself carry will estimate the course continuation mileage obtained compared with route planning；If course continuation mileage
When being not enough to arrive at, provided a user in a manner of map label in course continuation mileage, the charging pile on route ahead periphery
Position.
Application examples five：On the basis of application examples four, based on user by human-computer interaction module on map it is selected
Charging pile, the navigation equipment carried by navigation route planning platform or electric car itself, provides a user and reaches the charging pile
Route.
Application examples six：On the basis of application examples four, led by what navigation route planning platform or electric car itself carried
Boat equipment, transit point is arranged to by the charging pile in course continuation mileage closest to destination, provides a user the route rule after renewal
Draw.Or one or more charging piles are arranged to transit point, and user's selection is provided.It is true based on user after user selects
The transit point recognized updates route planning and is supplied to user.
Application examples seven：On the basis of application examples three, if high in the clouds Data Analysis Platform (or combining driving behavior database)
According to the above-mentioned number of vehicle-mounted end it has been found that the urgency that user has repeatedly accelerates, brought to a halt, open for a long time under light good situations
Car light, turn on the aircondition for a long time and when temperature setting is with the sub-economic driving behavior such as the extraneous temperature difference is big, can also issue saving and use
The drive advice of electricity.
Although the present invention is disclosed as above with preferred embodiment, the present invention is not limited to this.Any art technology
Personnel, the various changes made without departing from the spirit and scope of the present invention and modification, the protection model of the present invention all should be included
In enclosing, therefore protection scope of the present invention should be defined by claim limited range.
Claims (10)
- A kind of 1. electric car continuation of the journey management method based on data analysis, it is characterised in that including：Collect relevant mileage, battery status, the user operation for coming from more automobiles, the historical data of vehicle-state, Yi Jixiang The historical data for the vehicle local environment answered；Formed based on collected historical data and be directed to battery power consumption model, described in the battery power consumption model sign The relevance of environmental data and battery power consumption residing for user's operation data, vehicle status data and the vehicle；Based on battery power consumption model and relation data, the course continuation mileage of battery dump energy estimation electric car, the pass Coefficient evidence includes following one or more：User operates preference, current vehicle condition, Current vehicle local environment.
- 2. the electric car continuation of the journey management method based on data analysis as claimed in claim 1, it is characterised in that also include：To User provides the position of the charging pile in the range of course continuation mileage.
- 3. the electric car continuation of the journey management method based on data analysis as claimed in claim 1, it is characterised in that also include：To User provides the route for reaching the charging pile in the range of course continuation mileage.
- 4. the electric car continuation of the journey management method based on data analysis as claimed in claim 1, it is characterised in that if route be present Planning, it will estimate the course continuation mileage obtained compared with route planning；If course continuation mileage is not enough to arrive at, Xiang Yong Family is provided in course continuation mileage, the charging pile position on route ahead periphery.
- 5. the electric car continuation of the journey management method based on data analysis as claimed in claim 1, it is characterised in that if route be present Planning, it will estimate the course continuation mileage obtained compared with route planning；, will be continuous if course continuation mileage is not enough to arrive at One or more charging piles in boat mileage are arranged to optional transit point.
- 6. the electric car continuation of the journey management method based on data analysis as claimed in claim 5, it is characterised in that true based on user The transit point renewal route planning recognized.
- 7. the electric car continuation of the journey management method based on data analysis as claimed in claim 1, it is characterised in that the user behaviour Making data includes any one of following or combination：Plus/minus speed operation data, turn to data, the operation data to in-car electronic equipment.
- 8. the electric car continuation of the journey management method based on data analysis as claimed in claim 1, it is characterised in that the vehicle shape State data include any one of following or combination：Speed, current location, yaw-rate, linear acceleration, air-conditioning setting, entertainment systems Set, engine mode is set.
- 9. the electric car continuation of the journey management method based on data analysis as claimed in claim 1, it is characterised in that the environment number According to including following any one or combinations：Weather, road conditions, vehicle location, traffic.
- 10. the electric car continuation of the journey management method based on data analysis as claimed in claim 1, it is characterised in that the battery Status data include it is following any one or more：Battery pack configuration, battery size, the battery consumption speed in the unit interval, Charge duration, charging times, battery usage time, peak value output electricity.
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