CN103017769A - Method and device for calculating driving range of electric automobile - Google Patents
Method and device for calculating driving range of electric automobile Download PDFInfo
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- CN103017769A CN103017769A CN2012104917400A CN201210491740A CN103017769A CN 103017769 A CN103017769 A CN 103017769A CN 2012104917400 A CN2012104917400 A CN 2012104917400A CN 201210491740 A CN201210491740 A CN 201210491740A CN 103017769 A CN103017769 A CN 103017769A
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Abstract
The embodiment of the invention provides a method and a device for calculating a driving range of an electric automobile, relating to the field of traffic information services. With the adoption of the method and the device, a user obtains graphical representation of the maximum driving range of the electric automobile, so that the user can adjust a driving route in time according to demands. The method comprises the following steps of receiving and storing a user request containing relative parameters of the automobile, which is sent by the electric automobile; calculating to obtain data of the graphical representation of the maximum driving range of the electric automobile according to the relative parameters of the automobile, pre-stored map data, and a pre-stored map data and a driving mode formula of the electric automobile; and finally, sending the data of the graphical representation of the maximum driving range of the electric automobile to the electric automobile.
Description
Technical field
The present invention relates to the traffic-information service field, relate in particular to a kind of electric automobile during traveling range computation method and device.
Background technology
The main services that existing transportation information service systems provides comprises: to vehicle issue Real-time Traffic Information; Carry out dynamic route planning based on vehicle self-position, destination, static road network, real-time road and traffic events, evade and blocking up and accident section etc.Existing service is the distribution of balanced traffic stream on road network to a certain extent, improves the traffic efficiency of city road network, makes things convenient for the user to go on a journey.
Electric automobile is because it is less to the relative orthodox car of environmental impact, prospect is extensively had an optimistic view of, but electric automobile is take vehicle power as power, driving range is limited, can the user can't know the scope that dump energy can arrive, also can't know arrive destination or nearest charging station, and this is a very large defective concerning the electric automobile user, can have a strong impact on the availability of transportation information service systems, service quality and user experience.
Summary of the invention
Embodiments of the invention provide a kind of electric automobile during traveling range computation method and device, and the maximum that can make the user the obtain electric automobile areal map that travels shows, so that the user in time adjusts travel route as required.
For achieving the above object, embodiments of the invention adopt following technical scheme:
A kind of electric automobile during traveling range computation method comprises:
Receive and preserve user's request that electric automobile sends, include the vehicle correlation parameter in described user's request;
Map datum and electric automobile during traveling pattern formula according to described vehicle correlation parameter and pre-stored calculate the driving range data in graph form that obtains described electric automobile;
The driving range data in graph form of described electric automobile is sent to described electric automobile.
Wherein, described vehicle correlation parameter comprises: vehicle ID, and the current coordinate of vehicle, with reference to travel speed, electric automobile model, vehicle driving model, vehicle dump energy; Described map datum comprises road ID, and corresponding coordinate range, length value and the value of slope of described road ID.
Optionally, described map datum and electric automobile during traveling pattern formula according to described vehicle correlation parameter and pre-stored calculates the driving range data in graph form that obtains described electric automobile, comprising:
Described vehicle correlation parameter is carried out pre-service obtain the electric automobile during traveling metadata;
According to described electric automobile during traveling metadata and corresponding map datum and described electric automobile during traveling pattern formula, calculate and obtain each bar road power consumption weighted value;
According to described power consumption weighted value, calculate when described dump energy exhausted the terminal point coordinate that described electric automobile can arrive based on described map datum on various routes;
With described terminal point coordinate by coupling together clockwise the driving range data in graph form that obtains described electric automobile.
Optionally, described electric automobile during traveling metadata comprises: data number, and request time, vehicle ID, with reference to travel speed, the electric automobile model, driving model, dump energy, the road ID that matches matches the coordinate on the road;
Describedly described vehicle correlation parameter is carried out pre-service obtain the electric automobile during traveling metadata, comprising: the current coordinate of described vehicle and described map datum are mated the road ID that acquisition matches and match coordinate on the road.
Further alternative, described electric automobile during traveling pattern formula is: C (g, v)=G
3* g
3+ G
2* g
2+ G
1* g+V
3* v
3+ V
2* v
3+ V
1* v+c; Wherein, the power consumption of electric automobile unit distance under specific driving model of described C (g, v) expression specific model, described g represents the road grade value, described v represents described with reference to travel speed, described G
3, G
2, G
1, V
3, V
2, V
1, c is constant;
Described according to described electric automobile during traveling metadata and corresponding map datum and described electric automobile during traveling pattern formula, calculate and obtain each bar road power consumption weighted value, comprising: find corresponding electric automobile during traveling pattern formula according to the electric automobile model in the described electric automobile during traveling metadata and driving model; The electric automobile during traveling pattern formula that reference travel speed substitution in the corresponding value of slope of road ID in the described map datum and the described electric automobile during traveling metadata is corresponding calculates the power consumption that obtains described electric automobile unit distance on road corresponding to described road ID; Power consumption and link length corresponding to described road ID according to unit distance on road corresponding to described road ID calculate power consumption weighted value corresponding to described road ID.
A kind of electric automobile during traveling range computation device comprises:
Receiving element is used for receiving and preserving user's request that electric automobile sends, and includes the vehicle correlation parameter in described user's request;
Computing unit is used for the described vehicle correlation parameter and the map datum of pre-stored and the driving range data in graph form that electric automobile during traveling pattern formula calculates the described electric automobile of acquisition that receive according to described receiving element;
Transmitting element, the driving range data in graph form that is used for described electric automobile that described computing unit is calculated sends to described electric automobile.
Wherein, described vehicle correlation parameter comprises: vehicle ID, and the current coordinate of vehicle, with reference to travel speed, electric automobile model, vehicle driving model, vehicle dump energy; Described map datum comprises road ID, and corresponding coordinate range, length value and the value of slope of described road ID.
Optionally, computing unit comprises: pretreatment unit, the first computing unit, the second computing unit and diagram acquiring unit; Described pretreatment unit is used for that the described vehicle correlation parameter that described receiving element receives is carried out pre-service and obtains the electric automobile during traveling metadata; Described the first computing unit is used for according to described electric automobile during traveling metadata and corresponding map datum and described electric automobile during traveling pattern formula, calculates and obtains each bar road power consumption weighted value; Described the second computing unit is used for calculating when described dump energy exhausted the terminal point coordinate that described electric automobile can arrive based on described map datum according to described power consumption weighted value on various routes; Described figure is acquiring unit, is used for described terminal point coordinate by coupling together clockwise the driving range data in graph form that obtains described electric automobile.
Optionally, described electric automobile during traveling metadata comprises: data number, and request time, vehicle ID, with reference to travel speed, the electric automobile model, driving model, dump energy, the road ID that matches matches the coordinate on the road; Described pretreatment unit is used for that the current coordinate of described vehicle and described map datum mated the road ID that acquisition matches and matches coordinate on the road.
Further alternative, described electric automobile during traveling pattern formula is: C (g, v)=G
3* g
3+ G
2* g
2+ G
1* g+V
3* v
3+ V
2* v
3+ V
1* v+c; Wherein, the power consumption of electric automobile unit distance under specific driving model of described C (g, v) expression specific model, described g represents the road grade value, described v represents described with reference to travel speed, described G
3, G
2, G
1, V
3, V
2, V
1, c is constant;
Described the first computing unit comprises: search subelement and the first computation subunit; The described subelement of searching is used for finding corresponding electric automobile during traveling pattern formula according to vehicle ID and the driving model of described electric automobile during traveling metadata; Described the first computation subunit is used for the electric automobile during traveling pattern formula that the reference travel speed substitution in the corresponding value of slope of described map datum road ID and the described electric automobile during traveling metadata is corresponding and calculates the power consumption that obtains described electric automobile unit distance on road corresponding to described road ID; Described the first computation subunit also is used for calculating power consumption weighted value corresponding to described road ID according to power consumption and the length value corresponding to described road ID of unit distance on road corresponding to described road ID.
A kind of electric automobile during traveling range computation method and device that technique scheme provides, ask by the user who includes the vehicle correlation parameter who receives and preserve the electric automobile transmission, and calculate the driving range data in graph form that obtains described electric automobile according to map datum and the electric automobile during traveling pattern formula of described vehicle correlation parameter and pre-stored; Then the driving range data in graph form with described electric automobile sends to described electric automobile.Show for the user provides the maximum of the electric automobile areal map that travels, can make the user in time adjust as required travel route, for the trip that the user has created easily, felt at ease is experienced.When offering convenience for user's trip, the transportation information service systems that increases this service can also advance popularizing of electric automobile, realizes energy-saving and emission-reduction, and huge economic benefit and social benefit are created in Green Travel and sustainable development.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, the below will do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art, apparently, accompanying drawing in the following describes only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
A kind of electric automobile during traveling range computation method that Fig. 1 provides for the embodiment of the invention 1;
A kind of electric automobile during traveling range computation method that Fig. 2 provides for the embodiment of the invention 2;
The data structure schematic flow sheet of a kind of electric automobile during traveling range computation method that Fig. 3 provides for the embodiment of the invention 2;
A kind of electric automobile during traveling scope scene synoptic diagram that Fig. 4 provides for the embodiment of the invention 2;
A kind of electric automobile during traveling range computation device that Fig. 5 provides for the embodiment of the invention 3;
The another kind of electric automobile during traveling range computation device that Fig. 6 provides for the embodiment of the invention 3.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that obtains under the creative work prerequisite.
Embodiment 1:
The embodiment of the invention provides a kind of electric automobile during traveling range computation method, as shown in Figure 1, said method comprising the steps of:
101, receive and preserve user's request that electric automobile sends, include the vehicle correlation parameter in described user's request.
Electric automobile can send to the driving range calculation element of electric automobile user's request in the process of moving, includes the vehicle correlation parameter in described user's request.Described vehicle correlation parameter comprises in embodiments of the present invention: vehicle ID, and the current coordinate of vehicle, with reference to travel speed, electric automobile model, vehicle driving model, vehicle dump energy.
Wherein, described vehicle ID is used for electric automobile of unique identification; The current coordinate of described vehicle is the latitude and longitude coordinates of current measurement position, and unit is degree, for example (longitude: 114 degree, latitude: 37 degree); Described with reference to travel speed, unit is km/h; Described electric automobile model is used for a kind of electric automobile of unique identification; Described driving model can comprise EV electric model, ECO energy saver mode and POWER performance mode.The EV pattern reaches maximum oil-saving effect fully with the direct motor drive Vehicle Driving Cycle; The ECO pattern is in conjunction with engine and motor operation; The POWER pattern relies on gasoline engine that power is provided when needs accelerate fully, reaches best acceleration effect.The unit of described dump energy is degree, i.e. KWH.
102, calculate the driving range data in graph form that obtains described electric automobile according to described vehicle correlation parameter and map datum.
Store map datum in the described device, include length and the grade information of road in the described map datum, the electric quantity consumption of described electric automobile also is subject to the impact of road grade except outside the Pass having with described link length.Described device can exhaust the position that can arrive to dump energy according to the electric automobile that described vehicle correlation parameter and map datum calculate specific model under specific driving model.Thereby calculate the driving range of described electric automobile, obtain the driving range data in graph form of described electric automobile based on described map datum.
103, the driving range data in graph form with described electric automobile sends to described electric automobile.
Described device is behind the driving range data in graph form that obtains described electric automobile, the driving range data in graph form of described electric automobile can be sent to described electric automobile, described electric automobile just can be in this driving range diagram of demonstration screen display of oneself, and the user just can in time adjust travel route as required like this.If dump energy can not make described electric automobile arrive the destination, described user just can find a suitable charging station according to described diagram, sets out to the destination after charging electricity again.
The embodiment of the invention provides a kind of electric automobile during traveling range computation method, described method is asked by the user who includes the vehicle correlation parameter who receives and preserve the electric automobile transmission, and calculates the driving range data in graph form that obtains described electric automobile according to map datum and the electric automobile during traveling pattern formula of described vehicle correlation parameter and pre-stored; Then the driving range data in graph form with described electric automobile sends to described electric automobile.Show for the user provides the maximum of the electric automobile areal map that travels, can make the user in time adjust as required travel route, for the trip that the user has created easily, felt at ease is experienced.When offering convenience for user's trip, the transportation information service systems that increases this service can also advance popularizing of electric automobile, realizes energy-saving and emission-reduction, and huge economic benefit and social benefit are created in Green Travel and sustainable development.
Embodiment 2
The embodiment of the invention has offered a kind of electric automobile during traveling range computation method, and as shown in Figure 2, described method comprises:
201, receive and preserve user's request that electric automobile sends, include the vehicle correlation parameter in described user's request.
Electric automobile can send to the driving range calculation element of electric automobile user's request in the process of moving, includes the vehicle correlation parameter in described user's request.Described vehicle correlation parameter comprises in embodiments of the present invention: vehicle ID, and the current coordinate of vehicle, with reference to travel speed, electric automobile model, vehicle driving model, vehicle dump energy.
Wherein, described vehicle ID is used for electric automobile of unique identification; The current coordinate of described vehicle is the latitude and longitude coordinates of current measurement position, and unit is degree, for example (longitude: 114 degree, latitude: 37 degree); Described with reference to travel speed, unit is km/h; Described electric automobile model is used for a kind of electric automobile of unique identification; Described driving model can comprise EV electric model, ECO energy saver mode and POWER performance mode.The EV pattern reaches maximum oil-saving effect fully with the direct motor drive Vehicle Driving Cycle; The ECO pattern is in conjunction with engine and motor operation; The POWER pattern relies on gasoline engine that power is provided when needs accelerate fully, reaches best acceleration effect.The unit of described dump energy is degree, i.e. KWH.
202, described vehicle correlation parameter is carried out pre-service and obtain the electric automobile during traveling metadata.
Described electric automobile during traveling metadata comprises: data number, and request time, vehicle ID, the electric automobile model, driving model, dump energy, the road ID that matches matches the coordinate on the road.
Wherein, described data number is the data recording numbering, and record of unique identification is numbered by preprocessor; Request time is that described device is received the time that the user asks, and described device is preserved and added this field when the user asks; Vehicle ID is the vehicle ID in described user's request; The electric automobile model is that the electric automobile model driving model in described user's request is the driving model in described user's request; Dump energy: with the dump energy in user's request; The road ID that matches: to road, this field is used for the marking matched road that arrives to the map-based data with the current coordinate matching of vehicle in described user's request; Match the coordinate on the road: to road, this field is the projection coordinate of vehicle on road to the map-based data with the coordinate matching in user's request.
As from the foregoing, it mainly is that described current vehicle coordinate and described map datum are mated that described vehicle correlation parameter is carried out pre-service, described current vehicle coordinate is matched on the corresponding road, obtain place road and the coordinate points on described road of this electric automobile.The related algorithm that carries out map match here is prior art, is not described in detail in this.
203, according to described electric automobile during traveling metadata and corresponding map datum and described electric automobile during traveling pattern formula, calculate and obtain each bar road power consumption weighted value.
Described electric automobile during traveling pattern formula is: C (g, v)=G
3* g
3+ G
2* g
2+ G
1* g+V
3* v
3+ V
2* v
3+ V
1* v+c; Wherein, the power consumption of electric automobile unit distance under specific driving model of described C (g, v) expression specific model, described g represents the road grade value, described v represents described with reference to travel speed, described G
3, G
2, G
1, V
3, V
2, V
1, c is constant.G
3Three rank coefficients for the gradient in the formula (g); G
2Second order coefficient for the gradient in the formula (g); G
1Coefficient of first order for the gradient in the formula (g); V
3Three rank coefficients for formula medium velocity (v); V
2Second order coefficient for formula medium velocity (v); V
1Coefficient of first order for formula medium velocity (v); C is the constant term in the formula.
Here, described constant G
3, G
2, G
1, V
3, V
2, V
1, c is according to the electric automobile model and modeling is carried out in the vehicle driving model classification and training obtains.Power consumption data when described device can be collected a large amount of electric automobile actual travel are by carrying out modeling and training to these data, the formula that just can obtain tallying with the actual situation.Certainly, described device can be collected the electric motor car of this calculating in the process that the driving range that carries out electric automobile calculates data, so continuous increase data source can make described formula more tally with the actual situation, so that the result of calculation of described device is more accurate.
Described electric automobile during traveling pattern formula is pre-stored in the described device according to electric automobile model and driving model classification, and described device at first finds corresponding electric automobile during traveling pattern formula according to the electric automobile model in the described electric automobile during traveling metadata and driving model.
Then, the electric automobile during traveling pattern formula that described device is corresponding with the reference travel speed substitution in the corresponding value of slope of road ID in the described map datum and the described electric automobile during traveling metadata calculates the power consumption that obtains described electric automobile unit distance on road corresponding to described road ID.Be about to g value and v value substitution formula:
C (g, V)=G
3* g
3+ G
2* g
2+ G
1* g+V
3* V
3+ V
2* V
3+ V
1* among the V+c, calculate the power consumption C (g, v) that obtains unit distance on road corresponding to described road ID.
At last, described device calculates power consumption weighted value corresponding to described road ID according to power consumption and the link length corresponding to described road ID of unit distance on road corresponding to described road ID, be that C (g, v) * link length is the weighted value of described road.
204, according to described power consumption weighted value, calculate when described dump energy exhausted the terminal point coordinate that described electric automobile can arrive based on described map datum on various routes.
Take a kind of route wherein as example, suppose that this electric automobile is at 1/2 place of the first road, at route: on the first road+the second road+the 3rd road+the 4th road, dump energy is W, if described W=1/2* first right of way is heavy+the second right of way is heavy+1/3 the 3rd road weight, then the described electric automobile terminal point coordinate that can arrive on this route is at 1/3 place of described the 3rd road.
Based on described map datum, leading to all directions centered by the current location (namely matching the coordinate on the road) of described electric automobile has a variety of routes, just can calculate the terminal point coordinate that described electric automobile can arrive by said method on various routes.
205, with described terminal point coordinate by coupling together clockwise the driving range data in graph form that obtains described electric automobile.
By coupling together clockwise the polygon diagram that just can obtain a sealing, the scope of described polygon delineation is exactly the driving range of described electric automobile with described terminal point coordinate.Example, as shown in Figure 4, identify described final position with stain, the coordinate at place, described final position is terminal point coordinate.By coupling together clockwise the polygon diagram that just can obtain a sealing, the scope of described polygon delineation is exactly the driving range of described electric automobile with these terminal point coordinates.
206, the driving range data in graph form with described electric automobile sends to described electric automobile.
Described device obtains the driving range data in graph form of described electric automobile to be sent to described electric automobile behind the driving range of described electric automobile, described electric automobile just can be in this driving range diagram of demonstration screen display of oneself, and the user just can in time adjust travel route as required like this.If dump energy can not make described electric automobile arrive the destination, described user just can find a suitable charging station according to described diagram, sets out to the destination after charging electricity again.
Optionally, the idiographic flow data structure diagram of said method as shown in Figure 3, electric automobile sends the user's request that includes the vehicle correlation parameter to described electric automobile during traveling range computation device, described device can be preserved described user's request after receiving described user's request, simultaneously current vehicle coordinate and described map datum in described user's request are mated, described current vehicle coordinate is matched on the corresponding road, obtain place road and the coordinate points on described road of this electric automobile.On the other hand, described device carries out pre-service with the data in the described user request and obtains the electric motor car metadata of travelling, then according to described electric automobile during traveling metadata and corresponding map datum and described electric automobile during traveling pattern formula, calculate and obtain each bar road power consumption weighted value, then just can calculate the electric automobile during traveling scope according to the coordinate points of described electric vehicle on road that described device matches.The most described electric automobile during traveling scope returns to described electric automobile.
Said method is can concrete example as follows: an electric automobile during traveling on road, the current coordinate of vehicle (longitude: 115, latitude: 35), the electric automobile model is 1, driving model 1 is 80km/h with reference to travel speed, vehicle dump energy 120KWH.Described electric automobile is included in self these vehicle correlation parameters in user's request and sends to described device, described device at first carries out pre-service with described vehicle correlation parameter and obtains the electric automobile during traveling metadata, with current coordinate (longitude: 115, latitude: 35) the middle coordinate point of the road 1 of coupling on map, then finding out the electric automobile model is 1, the electric automobile during traveling pattern formula C (g, v) of driving model 1 correspondence=G
3* g
3+ G
2* g
2+ G
1* g+V
3* v
3+ V
2* v
3+ V
1* v+c, the value of slope of substitution v=80km/h and each bar road calculates and obtains each bar road power consumption weighted value, then according to described power consumption weighted value, calculate when described dump energy 120KWH exhausted the terminal point coordinate that described electric automobile can arrive on various routes based on described map datum.As shown in Figure 4, identify described final position with stain, the coordinate at place, described final position is terminal point coordinate.By coupling together clockwise the polygon diagram that just can obtain a sealing, the scope of described polygon delineation is exactly the driving range of described electric automobile with these terminal point coordinates.
The embodiment of the invention provides a kind of electric automobile during traveling range computation method, described method is asked by the user who includes the vehicle correlation parameter who receives and preserve the electric automobile transmission, and calculates the driving range data in graph form that obtains described electric automobile according to map datum and the electric automobile during traveling pattern formula of described vehicle correlation parameter and pre-stored; Then the driving range data in graph form with described electric automobile sends to described electric automobile.Show for the user provides the maximum of the electric automobile areal map that travels, can make the user in time adjust as required travel route, for the trip that the user has created easily, felt at ease is experienced.When offering convenience for user's trip, the transportation information service systems that increases this service can also advance popularizing of electric automobile, realizes energy-saving and emission-reduction, and huge economic benefit and social benefit are created in Green Travel and sustainable development.
Embodiment 3
The embodiment of the invention provides a kind of electric automobile during traveling range computation device, and as shown in Figure 5, described device comprises: receiving element 51, computing unit 52, transmitting element 53.
Receiving element 51 is used for receiving and preserving user's request that electric automobile sends, and includes the vehicle correlation parameter in described user's request.
Described vehicle correlation parameter comprises: vehicle ID, and the current coordinate of vehicle, with reference to travel speed, electric automobile model, vehicle driving model, vehicle dump energy; Described map datum comprises road ID, and corresponding coordinate range, length value and the value of slope of described road ID.
Optionally, as shown in Figure 6, described computing unit 52 comprises: pretreatment unit 521, the first computing units, 522, the second computing units 523 and diagram acquiring unit 524.
Described pretreatment unit 521 is used for that the described vehicle correlation parameter that described receiving element 51 receives is carried out pre-service and obtains the electric automobile during traveling metadata; Described electric automobile during traveling metadata comprises: data number, and request time, vehicle ID, with reference to travel speed, the electric automobile model, driving model, dump energy, the road ID that matches matches the coordinate on the road.Described pretreatment unit 521 can mate the current coordinate of described vehicle and described map datum and obtains the road ID that matches and match coordinate on the road.
Described the first computing unit 522 is used for according to described electric automobile during traveling metadata and corresponding map datum and described electric automobile during traveling pattern formula, calculates and obtains each bar road power consumption weighted value.Described electric automobile during traveling pattern formula is: C (g, v)=G
3* g
3+ G
2* g
2+ G
1* g+V
3* v
3+ V
2* v
3+ V
1* v+c; Wherein, the power consumption of electric automobile unit distance under specific driving model of described C (g, v) expression specific model, described g represents the road grade value, described v represents described with reference to travel speed, described G
3, G
2, G
1, V
3, V
2, V
1, c is constant.Described constant G
3, G
2, G
1, V
3, V
2, V
1, c is according to the electric automobile model and modeling is carried out in the vehicle driving model classification and training obtains.
Optionally, as shown in Figure 6, described the first computing unit 522 comprises: search subelement 5221 and the first computation subunit 5222; The described subelement 5221 of searching is used for finding corresponding electric automobile during traveling pattern formula according to vehicle ID and the driving model of described electric automobile during traveling metadata; Described the first computation subunit 5222 is used for the electric automobile during traveling pattern formula that the reference travel speed substitution in the corresponding value of slope of described map datum road ID and the described electric automobile during traveling metadata is corresponding and calculates the power consumption that obtains described electric automobile unit distance on road corresponding to described road ID; Described the first computation subunit 5222 also is used for calculating power consumption weighted value corresponding to described road ID according to power consumption and the length value corresponding to described road ID of unit distance on road corresponding to described road ID.
Described the second computing unit 523 is used for according to described power consumption weighted value, calculates when described dump energy exhausted the terminal point coordinate that described electric automobile can arrive on various routes based on described map datum.
Described diagram acquiring unit 524 is used for described terminal point coordinate by coupling together clockwise the driving range data in graph form that obtains described electric automobile.
Transmitting element 53, the driving range data in graph form that is used for described electric automobile that described computing unit is calculated sends to described electric automobile.
The embodiment of the invention provides a kind of electric automobile during traveling range computation device, described device is asked by the user who includes the vehicle correlation parameter who receives and preserve the electric automobile transmission, and calculates the driving range data in graph form that obtains described electric automobile according to map datum and the electric automobile during traveling pattern formula of described vehicle correlation parameter and pre-stored; Then the driving range data in graph form with described electric automobile sends to described electric automobile.Show for the user provides the maximum of the electric automobile areal map that travels, can make the user in time adjust as required travel route, for the trip that the user has created easily, felt at ease is experienced.When offering convenience for user's trip, the transportation information service systems that increases this service can also advance popularizing of electric automobile, realizes energy-saving and emission-reduction, and huge economic benefit and social benefit are created in Green Travel and sustainable development.
Said method embodiment and device embodiment belong to same inventive concept, are the content of this instructions of accurate understanding, and the description between each embodiment can cross-reference and mutually additional.
One of ordinary skill in the art will appreciate that: all or part of step that realizes said method embodiment can be finished by the relevant hardware of programmed instruction, aforesaid program can be stored in the computer read/write memory medium, this program is carried out the step that comprises said method embodiment when carrying out; And aforesaid storage medium comprises: the various media that can be program code stored such as ROM, RAM, magnetic disc or CD.
The above; be the specific embodiment of the present invention only, but protection scope of the present invention is not limited to this, anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of described claim.
Claims (12)
1. an electric automobile during traveling range computation method is characterized in that, comprising:
Receive and preserve user's request that electric automobile sends, include the vehicle correlation parameter in described user's request;
Map datum and electric automobile during traveling pattern formula according to described vehicle correlation parameter and pre-stored calculate the driving range data in graph form that obtains described electric automobile;
The driving range data in graph form of described electric automobile is sent to described electric automobile.
2. method according to claim 1 is characterized in that, described map datum and electric automobile during traveling pattern formula according to described vehicle correlation parameter and pre-stored calculates the driving range data in graph form that obtains described electric automobile, comprising:
Described vehicle correlation parameter is carried out pre-service obtain the electric automobile during traveling metadata;
According to described electric automobile during traveling metadata and corresponding map datum and described electric automobile during traveling pattern formula, calculate and obtain each bar road power consumption weighted value;
According to described power consumption weighted value, calculate when described dump energy exhausted the terminal point coordinate that described electric automobile can arrive based on described map datum on various routes;
With described terminal point coordinate by coupling together clockwise the driving range data in graph form that obtains described electric automobile.
3. method according to claim 2 is characterized in that, described vehicle correlation parameter comprises: vehicle ID, and the current coordinate of vehicle, with reference to travel speed, electric automobile model, vehicle driving model, vehicle dump energy; Described map datum comprises road ID, and corresponding coordinate range, length value and the value of slope of described road ID.
4. method according to claim 3 is characterized in that, described electric automobile during traveling metadata comprises: data number, request time, vehicle ID, with reference to travel speed, electric automobile model, driving model, dump energy, the road ID that matches matches the coordinate on the road;
Describedly described vehicle correlation parameter carried out pre-service obtain the electric automobile during traveling metadata, comprising:
The current coordinate of described vehicle and described map datum mated obtain the road ID that matches and match coordinate on the road.
5. method according to claim 3 is characterized in that, described electric automobile during traveling pattern formula is: C (g, v)=G
3* g
3+ G
2* g
2+ G
1* g+V
3* v
3+ V
2* v
3+ V
1* v+c;
Wherein, the power consumption of electric automobile unit distance under specific driving model of described C (g, v) expression specific model, described g represents the road grade value, described v represents described with reference to travel speed, described G
3, G
2, G
1, V
3, V
2, V
1, c is constant;
Described according to described electric automobile during traveling metadata and corresponding map datum and described electric automobile during traveling pattern formula, calculate and obtain each bar road power consumption weighted value, comprising:
Find corresponding electric automobile during traveling pattern formula according to the electric automobile model in the described electric automobile during traveling metadata and driving model;
The electric automobile during traveling pattern formula that reference travel speed substitution in the corresponding value of slope of road ID in the described map datum and the described electric automobile during traveling metadata is corresponding calculates the power consumption that obtains described electric automobile unit distance on road corresponding to described road ID;
Power consumption and link length corresponding to described road ID according to unit distance on road corresponding to described road ID calculate power consumption weighted value corresponding to described road ID.
6. method according to claim 5 is characterized in that, described constant G
3, G
2, G
1, V
3, V
2, V
1, c is according to the electric automobile model and modeling is carried out in the vehicle driving model classification and training obtains.
7. an electric automobile during traveling range computation device is characterized in that, comprising:
Receiving element is used for receiving and preserving user's request that electric automobile sends, and includes the vehicle correlation parameter in described user's request;
Computing unit is used for the described vehicle correlation parameter and the map datum of pre-stored and the driving range data in graph form that electric automobile during traveling pattern formula calculates the described electric automobile of acquisition that receive according to described receiving element;
Transmitting element, the driving range data in graph form that is used for described electric automobile that described computing unit is calculated sends to described electric automobile.
8. device according to claim 7 is characterized in that, computing unit comprises: pretreatment unit, the first computing unit, the second computing unit and diagram acquiring unit;
Described pretreatment unit is used for that the described vehicle correlation parameter that described receiving element receives is carried out pre-service and obtains the electric automobile during traveling metadata;
Described the first computing unit is used for according to described electric automobile during traveling metadata and corresponding map datum and described electric automobile during traveling pattern formula, calculates and obtains each bar road power consumption weighted value;
Described the second computing unit is used for calculating when described dump energy exhausted the terminal point coordinate that described electric automobile can arrive based on described map datum according to described power consumption weighted value on various routes;
Described figure is acquiring unit, is used for described terminal point coordinate by coupling together clockwise the driving range data in graph form that obtains described electric automobile.
9. device according to claim 8 is characterized in that, described vehicle correlation parameter comprises: vehicle ID, and the current coordinate of vehicle, with reference to travel speed, electric automobile model, vehicle driving model, vehicle dump energy; Described map datum comprises road ID, and corresponding coordinate range, length value and the value of slope of described road ID.
10. device according to claim 9 is characterized in that, described electric automobile during traveling metadata comprises: data number, request time, vehicle ID, with reference to travel speed, electric automobile model, driving model, dump energy, the road ID that matches matches the coordinate on the road;
Described pretreatment unit is used for that the current coordinate of described vehicle and described map datum mated the road ID that acquisition matches and matches coordinate on the road.
11. device according to claim 10 is characterized in that, described electric automobile during traveling pattern formula is: C (g, v)=G
3* g
3+ G
2* g
2+ G
1* g+V
3* v
3+ V
2* v
3+ V
1* v+c;
Wherein, the power consumption of electric automobile unit distance under specific driving model of described C (g, v) expression specific model, described g represents the road grade value, described v represents described with reference to travel speed, described G
3, G
2, G
1, V
3, V
2, V
1, c is constant;
Described the first computing unit comprises: search subelement and the first computation subunit;
The described subelement of searching is used for finding corresponding electric automobile during traveling pattern formula according to vehicle ID and the driving model of described electric automobile during traveling metadata;
Described the first computation subunit is used for the electric automobile during traveling pattern formula that the reference travel speed substitution in the corresponding value of slope of described map datum road ID and the described electric automobile during traveling metadata is corresponding and calculates the power consumption that obtains described electric automobile unit distance on road corresponding to described road ID;
Described the first computation subunit also is used for calculating power consumption weighted value corresponding to described road ID according to power consumption and the length value corresponding to described road ID of unit distance on road corresponding to described road ID.
12. device according to claim 11 is characterized in that, described constant G
3, G
2, G
1, V
3, V
2, V
1, c is according to the electric automobile model and modeling is carried out in the vehicle driving model classification and training obtains.
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| CN2012104917400A CN103017769A (en) | 2012-11-27 | 2012-11-27 | Method and device for calculating driving range of electric automobile |
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| CN2012104917400A CN103017769A (en) | 2012-11-27 | 2012-11-27 | Method and device for calculating driving range of electric automobile |
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