CN114670707A - Charging route determining method and device and readable storage medium - Google Patents
Charging route determining method and device and readable storage medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
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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
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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
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3679—Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities
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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
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3697—Output of additional, non-guidance related information, e.g. low fuel level
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
- B60L2260/52—Control modes by future state prediction drive range estimation, e.g. of estimation of available travel distance
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
- B60L2260/54—Energy consumption estimation
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
- B60L2260/58—Departure time prediction
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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
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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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
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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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
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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Abstract
The invention provides a charging route determining method and device and a readable storage medium, and relates to the technical field of electric automobiles. The method comprises the following steps: acquiring current road information to which the electric automobile belongs, wherein the current road information comprises current position information, destination information and the current speed of the electric automobile; determining a driving path of the electric automobile and a dischargeable coefficient of a power battery according to the current road information; determining the predicted available electric quantity information of the electric automobile according to the dischargeable coefficient and the current road information; and determining a target planning route of the electric automobile according to the predicted available electric quantity information and the distribution information of the charging piles on the driving path. According to the technical scheme, whether the charging pile needs to be driven to charge in the target planning route to the destination or not can be determined according to the corresponding relation between the predicted available electric quantity information and the driving mileage, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of electric automobiles, in particular to a charging route determining method and device and a readable storage medium.
Background
In recent years, as resource and environmental problems become more serious, the electric vehicle industry has become a strongly-growing industry in various countries. The development of the vehicle-mounted facilities matched with the electric vehicle is also in rapid progress, wherein the accuracy of the vehicle-mounted navigation system as an indispensable vehicle-mounted device in daily driving is of great significance for the electric vehicle with shorter driving range compared with the traditional fuel vehicle.
At present, the charging plan of a part of vehicle models in the prior art is a non-intelligent plan, the user is required to define the vehicle attributes such as energy consumption, station entering SOC and other information, and the user experience is poor; the charging planning of another part of the vehicle models in the prior art only supports long distance (more than 80 km), and the charging scheme cannot be updated after planning.
Disclosure of Invention
The embodiment of the invention provides a charging route determining method, a charging route determining device and a readable storage medium, and aims to solve the problems that in the prior art, a planned route of an electric vehicle to a destination is single, and the charging route cannot be updated.
In order to solve the technical problem, the invention adopts the following technical scheme:
the embodiment of the invention provides a charging route determining method, which comprises the following steps:
acquiring current road information to which the electric automobile belongs, wherein the current road information comprises current position information, destination information and the current speed of the electric automobile;
Determining a driving path of the electric automobile and a dischargeable coefficient of a power battery according to the current road information;
determining the predicted available electric quantity information of the electric automobile according to the dischargeable coefficient and the current road information;
and determining a target planning route of the electric automobile according to the predicted available electric quantity information and the distribution information of the charging piles on the driving path.
Optionally, the determining the predicted available electric quantity information of the electric vehicle includes:
determining the whole vehicle energy consumption information of the electric vehicle according to the current road information;
correcting the whole vehicle energy consumption information according to the dischargeable coefficient, and determining the predicted whole vehicle energy consumption information of the electric vehicle;
determining the predicted available electric quantity information of the electric automobile according to the predicted whole automobile energy consumption information and a first preset relation table; and the first preset relation table is used for representing the corresponding relation between the predicted whole vehicle energy consumption information and the predicted available electric quantity information.
Optionally, the determining a target planning route of the electric vehicle according to the predicted available power information and the distribution information of the charging piles on the driving path includes:
Determining the predicted driving mileage according to the predicted available electric quantity information;
if the predicted driving mileage is less than the mileage corresponding to the driving path, acquiring distribution information of charging piles on the driving path, and determining a target planning route of the electric vehicle according to the predicted available electric quantity information and the distribution information of the charging piles on the driving path;
and if the predicted driving mileage is larger than the mileage corresponding to the driving path, determining the target planning route of the electric automobile as the driving path.
Optionally, determining a target planning route of the electric vehicle according to the predicted available electric quantity information and the distribution information of the charging piles on the driving path, including:
planning all charging driving paths of the electric vehicle to reach each charging pile according to the distribution information of the charging piles on the driving paths;
calculating the predicted energy consumption and the predicted time of the electric automobile passing through each charging driving path;
determining the charging driving path with the estimated energy consumption smaller than the estimated available electric quantity information as an effective charging driving path;
determining a target charging driving path of the electric automobile according to the effective charging driving path and the estimated time;
Determining a target planning route of the electric automobile according to each target charging driving path predicted to be charged and the predicted uncharged target path; the target path which is not expected to be charged is a path from a charging pile which is charged by the electric automobile for the last time to the destination information.
Optionally, determining a target planned route of the electric vehicle according to each of the target charging driving routes predicted to be charged and the target routes predicted not to be charged includes:
after each charging, acquiring the current available electric quantity information of the electric automobile;
determining whether the driving mileage corresponding to the current available electric quantity information is larger than the driving mileage of the current charging pile from the destination information or not according to the current available electric quantity information and the destination information;
if the driving mileage corresponding to the current available electric quantity information is larger than the driving mileage of the current charging pile from the destination information, determining that the driving path of the current charging pile from the destination information is the predicted uncharged target path;
and determining a target planning route of the electric automobile according to each target charging driving route predicted to be charged and each target route predicted to be uncharged.
Optionally, when the direction of the driving path is the direction from the destination information to the current location information, determining a target planned route of the electric vehicle, further includes:
acquiring current remaining capacity information of the electric automobile;
determining whether the driving mileage corresponding to the current residual electric quantity information is larger than the driving mileage corresponding to the driving path or not according to the current residual electric quantity information of the electric automobile;
if the driving mileage corresponding to the current residual electric quantity information is smaller than the driving mileage corresponding to the driving path, executing speed reduction processing, and judging whether the driving mileage corresponding to the current residual electric quantity information is smaller than the driving mileage corresponding to the driving path or not after the speed reduction processing;
and if the driving mileage corresponding to the current residual electric quantity information is smaller than the driving mileage corresponding to the driving path after the speed reduction processing, re-determining the target planning route of the electric automobile.
Optionally, after determining the charging driving path with the estimated energy consumption smaller than the estimated available electric energy information as an effective charging driving path, the method includes:
acquiring an effective path with the shortest running time from all effective charging running paths of the electric vehicle to the target charging pile;
If only one effective path with the shortest running time exists, taking the effective path with the shortest running time as an optimal path to the target charging pile;
if the effective paths with the shortest running time are at least two, taking one effective path with the lowest energy consumption in the at least two effective paths with the shortest running time as an optimal path to the charging pile;
and if the predicted driving mileage is less than the mileage corresponding to the driving path, the target planning route at least comprises one optimal path.
Optionally, the distribution information of the charging pile includes at least one of the following items:
position information of the charging pile;
the state of the charging pile;
the number of idle charging piles;
the remaining time of the used charging pile from the full charging;
the current queuing number of people who charge in the reservation charging pile.
An embodiment of the present invention further provides a charging route determining apparatus, including:
the system comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring current road information to which an electric automobile belongs, and the current road information comprises current position information, destination information and the current speed of the electric automobile;
the first determining module is used for determining a driving path of the electric automobile and a dischargeable coefficient of a power battery according to the current road information;
The second determining module is used for determining the predicted available electric quantity information of the electric automobile according to the dischargeable coefficient and the current road information;
and the third determining module is used for determining a target planning route of the electric automobile according to the predicted available electric quantity information and the distribution information of the charging piles on the driving path.
An embodiment of the present invention further provides a readable storage medium, which stores a program, and the program, when executed by a processor, implements the steps of the charging route determining method according to any one of the above.
The invention has the beneficial effects that:
in the technical scheme, current road information to which the electric automobile belongs is obtained, wherein the current road information comprises current position information, destination information and the current speed of the electric automobile; determining a driving path of the electric automobile and a dischargeable coefficient of a power battery according to the current road information; and finally, determining a target planning route of the electric automobile according to the estimated available electric quantity information and the distribution information of the charging piles on the driving path. According to the technical scheme, whether the charging pile needs to be driven to charge in the target planning route to the destination or not can be determined according to the corresponding relation between the predicted available electric quantity information and the driving mileage, and the user experience is improved.
Drawings
Fig. 1 is a schematic flowchart illustrating a charging route determining method according to an embodiment of the present invention;
FIG. 2 is a graph showing the relationship between the dischargeable coefficient and the mileage provided by the present invention;
fig. 3 is a block diagram of a charging route determining apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided only to help the full understanding of the embodiments of the present invention. It will therefore be apparent to those skilled in the art that various changes and modifications can be made in the embodiments described herein without departing from the scope and spirit of the invention. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
In various embodiments of the present invention, it should be understood that the sequence numbers of the following processes do not mean the execution sequence, and the execution sequence of each process should be determined by the function and the inherent logic of the process, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The invention provides a charging route determining method, a charging route determining device and a readable storage medium, aiming at the problems that the planned route of an electric vehicle to a destination is single and the charging route cannot be updated in the prior art.
As shown in fig. 1, an alternative embodiment of the present invention provides a charging route determining method, including:
in this embodiment, the method may be performed by a service terminal, in particular, one or more processors within the service terminal, through which the electric vehicle is connected in communication in a wireless or wired manner; when the service terminal needs to acquire the position information of the electric vehicle, the service terminal can directly send detection information to the electric vehicle; in another embodiment, the electric vehicle may also transmit the use current location information to the service terminal in real time.
specifically, according to the fact that the current road information comprises current position information and destination information, a driving path to a destination is determined, wherein the driving path comprises a driving path with the shortest time and a time path with the shortest distance, and can be flexibly selected according to actual requirements; and determining a dischargeable coefficient of the power battery according to the destination information and the current speed of the electric automobile, wherein the dischargeable coefficient can be shown in fig. 2, and as can be seen from a corresponding relation graph of the dischargeable coefficient and the driving mileage, the dischargeable coefficient is reduced along with the increase of the driving mileage.
in the embodiment, the predicted available electric quantity information of the electric automobile is determined in real time based on the current road information, the navigation capability of the electric automobile and the current dischargeable coefficient, and compared with the prior art, the predicted available electric quantity information is updated in real time, so that the accuracy of the subsequent calculation of the target planned route is guaranteed.
And step 400, determining a target planning route of the electric automobile according to the predicted available electric quantity information and the distribution information of the charging piles on the driving path.
In this embodiment, whether the driving mileage corresponding to the driving path is supported or not is determined according to the predicted available electric quantity information, and when the predicted available electric quantity information is insufficient, the driving to the target can be planned to be charged so as to meet the purpose of continuing driving after charging.
Specifically, the distribution information of the charging pile comprises at least one of the following items:
position information of the charging pile;
the state of the charging pile;
the number of idle charging piles;
the remaining time of the used charging pile from the full charging;
the current queuing number of people who charge in the reservation charging pile.
In this embodiment, the charging pile that is in an available state includes that the charging pile that is idle at present and the charging pile that is expected to be idle at present specifically include: 1) when charging pile is idle state, and the reservation vehicle is zero. 2) When the charging pile is in a charging state and the reserved vehicle is zero, calculating the charging completion time of the charging vehicle, wherein the charging completion time is less than the time when the electric vehicle which is expected to be charged arrives at the charging pile. 3) When the charging pile is in a charging state and the reserved vehicles are not zero, counting the number of current queuing people reserved for charging the charging pile in the charging station, and the charging time of the charging vehicles under the number of the current queuing people is less than the time of the electric vehicles which are expected to be charged to arrive at the charging pile. According to the embodiment, the charging pile state related to the charging pile can be intelligently recommended to the electric automobile with the charging demand through the distribution information of the charging pile, so that a user can independently select the charging pile state, and the use efficiency of the charging pile is improved.
Optionally, the step 300 includes:
determining the whole vehicle energy consumption information of the electric vehicle according to the current road information;
correcting the whole vehicle energy consumption information according to the dischargeable coefficient, and determining the predicted whole vehicle energy consumption information of the electric vehicle;
determining the predicted available electric quantity information of the electric automobile according to the predicted whole automobile energy consumption information and a first preset relation table; and the first preset relation table is used for representing the corresponding relation between the predicted whole vehicle energy consumption information and the predicted available electric quantity information.
In this embodiment, the whole vehicle energy consumption information of the electric vehicle is determined according to the current road information and the self-navigation capability of the electric vehicle, where the whole vehicle energy consumption information includes, but is not limited to, energy consumption information of high-voltage components such as a driving motor, an air conditioning system, a dc-dc charger, and the like; correcting the whole vehicle energy consumption information by the dischargeable coefficient to determine predicted whole vehicle energy consumption information of the electric vehicle, wherein the predicted whole vehicle energy consumption information is obtained by the electric vehicle; and determining the predicted available electric quantity information of the electric automobile according to the predicted whole automobile energy consumption information and a first preset relation table, and mapping the actual driving range of the current road condition in the predicted available electric quantity information. According to the method and the device, the target charging pile can be charged according to the predicted available electric quantity information of the electric automobile and the preset pile selection rule before the point of exhaustion.
Specifically, the step 400 includes:
step 410, determining a predicted driving mileage according to the predicted available electric quantity information;
step 420, if the predicted driving mileage is less than the mileage corresponding to the driving path, acquiring distribution information of charging piles on the driving path, and determining a target planning route of the electric vehicle according to the predicted available electric quantity information and the distribution information of the charging piles on the driving path;
and 430, if the predicted driving mileage is greater than the mileage corresponding to the driving path, determining that the target planned route of the electric vehicle is the driving path.
In this embodiment, a predicted driving mileage is determined according to the predicted available power information, where the predicted driving mileage may be determined by a second preset relationship table, where the second preset relationship table is used to represent a corresponding relationship between the predicted available power information and the predicted driving mileage; and comparing according to the predicted driving mileage which is smaller than the mileage corresponding to the driving path, if the predicted driving mileage is larger than the mileage corresponding to the driving path, determining that the target planned route of the electric vehicle is the driving path, wherein the driving path with the shortest time is preferably taken as the target planned route, and if the predicted driving mileage only supports the driving path with the shortest distance, the target planned route is the driving path with the shortest distance in the driving paths. And when the predicted driving mileage is smaller than the mileage corresponding to the driving path, acquiring the distribution information of the charging piles on the driving path, and determining a target planning route of the electric vehicle according to the predicted available electric quantity information and the distribution information of the charging piles on the driving path. The invention ensures two different schemes corresponding to the available electric quantity information in the driving process, ensures the diversity of the target planning route to the destination and improves the user experience.
It should be noted that before the point of exhaustion, the distribution information of the charging piles on the driving path can be obtained according to the conditions of charging power, forward driving, within 5km along the way and the like according to the established pile selection rule.
Specifically, the step 420 includes:
step 421, planning all charging driving paths of the electric vehicle to each charging pile according to the distribution information of the charging piles on the driving paths;
step 422, calculating the predicted energy consumption and the predicted time of the electric vehicle passing through each charging driving path;
step 423, determining the charging travelling path with the estimated energy consumption smaller than the estimated available electric quantity information as an effective charging travelling path;
step 424, determining a target charging driving path of the electric vehicle according to the effective charging driving path and the estimated time;
here, the estimated time is a time at which the vehicle is estimated to be shortest, and the target charging vehicle path is a vehicle path at which the time is shortest.
Step 425, determining a target planning route of the electric automobile according to each target charging driving route expected to be charged and each target route expected to be uncharged; the target path which is not expected to be charged is a path from a charging pile which is charged by the electric automobile for the last time to the destination information.
In this embodiment, the target planned route with the shortest time to the destination is determined through the steps 421 and 425. If the target planned route is determined to be the planned route with the shortest distance, the corresponding predicted time can be replaced by the predicted shortest driving mileage, and therefore the target planned route with the shortest distance to the destination can be determined. It should be understood that the calculation of the predicted time or the predicted shortest driving mileage is provided with corresponding calculation formulas in the corresponding controllers of the electric vehicle, and different target planned routes can be calculated according to the requirements of the user.
Specifically, after the step 423, the method includes:
acquiring an effective path with the shortest running time from all effective charging running paths of the electric vehicle to the target charging pile;
if only one effective path with the shortest running time exists, taking the effective path with the shortest running time as an optimal path to the target charging pile;
if the effective paths with the shortest running time are at least two, taking one effective path with the lowest energy consumption in the at least two effective paths with the shortest running time as an optimal path to the charging pile;
And if the estimated driving mileage is less than the mileage corresponding to the driving path, the target planning route at least comprises one optimal path.
In the embodiment, the optimal path for the electric vehicle to reach each charging pile is found, that is, the effective path with the shortest driving time in all the effective paths for the electric vehicle to reach a certain charging pile is found, if only one effective path with the shortest driving time is found, the effective path with the shortest driving time is used as the optimal path for reaching the charging pile, and if more than two effective paths with the shortest driving time are found, one effective path with the minimum consumption in the effective paths with the shortest driving time is used as the optimal path for reaching the charging pile, and the charging pile corresponding to the optimal path is a target charging pile, that is, the optimal charging pile. And if the estimated driving mileage is less than the mileage corresponding to the driving path, a target charging pile must be searched, and the target planning route at least comprises one optimal path.
Optionally, determining a target planning route of the electric vehicle according to each of the target charging driving paths predicted to be charged and the target paths predicted not to be charged includes:
After each charging, acquiring the current available electric quantity information of the electric automobile;
determining whether the driving mileage corresponding to the current available electric quantity information is larger than the driving mileage of the current charging pile from the destination information or not according to the current available electric quantity information and the destination information;
if the driving mileage corresponding to the current available electric quantity information is larger than the driving mileage of the current charging pile from the destination information, determining that the driving path of the current charging pile from the destination information is the predicted uncharged target path;
and determining a target planning route of the electric automobile according to each target charging driving route predicted to be charged and each target route predicted to be uncharged.
According to the embodiment, after each charging, whether the current available electric quantity information supports the arrival at the destination or not is calculated, if the current available electric quantity information supports the arrival at the destination, the charging pile does not need to be continuously searched subsequently, the target path which is predicted not to be charged and is from the current charging pile to the destination is calculated again, and the target planning route of the electric vehicle can be planned through each target charging driving path and the target path which is predicted not to be charged. And if the current available electric quantity information does not support the arrival at the destination, calculating that the current charging pile continues to charge towards the next charging pile with the nearest distance.
Optionally, when the direction of the driving path is the direction from the destination information to the current location information, determining a target planned route of the electric vehicle, further includes:
acquiring current remaining capacity information of the electric automobile;
determining whether the driving mileage corresponding to the current residual electric quantity information is larger than the driving mileage corresponding to the driving path or not according to the current residual electric quantity information of the electric automobile;
and if the driving mileage corresponding to the current residual electric quantity information is larger than the driving mileage corresponding to the driving path, returning to the starting point according to the target planning route to the destination.
If the driving mileage corresponding to the current residual electric quantity information is smaller than the driving mileage corresponding to the driving path, executing speed reduction processing, and judging whether the driving mileage corresponding to the current residual electric quantity information is smaller than the driving mileage corresponding to the driving path or not after the speed reduction processing;
and if the driving mileage corresponding to the current residual electric quantity information is smaller than the driving mileage corresponding to the driving path after the speed reduction processing, re-determining the target planning route of the electric automobile.
In this embodiment, when the direction of the driving route is the direction from the destination information to the current location information, that is, the current electric vehicle has already reached the destination, the driving route of the return trip needs to be calculated. If the driving mileage corresponding to the current remaining power information is smaller than the driving mileage corresponding to the driving path, the current electric vehicle can return to the starting point after the speed of the current electric vehicle is reduced to a certain threshold value, that is, a speed reduction treatment measure is adopted, and the starting point is returned according to a target planning route to the destination, and at this moment, a scheme that the current speed reduction is needed and the driving can be returned can be prompted through an instrument panel and the like. If the driving mileage corresponding to the current residual electric quantity information is smaller than the driving mileage corresponding to the driving path after the speed reduction processing, the current residual electric quantity information after the speed reduction processing cannot meet the return requirement, and the target planning route of the electric vehicle needs to be determined again, namely the target charging pile is searched and then the electric vehicle returns.
It should be noted that, the process implemented by the above technical scheme may be implemented by a vehicle controller at a vehicle end, or by a scheme combining a cloud server and the vehicle controller.
In conclusion, the technical scheme of the invention can determine the real driving range through the dischargeable coefficient, and show the real driving range to the user to improve the user experience, and can support a complex pile selection model, avoid the information interaction of energy consumption estimation and pile selection estimation, shorten the calculation period, namely show the time to the user to be shorter, and improve the user experience; the invention can support all travel working conditions (including short-distance travel below 80 km), and support the advantages that a carrier is placed in a cloud terminal for planning, and a travel charging scheme is supported to be updated during the travel.
As shown in fig. 3, an embodiment of the present invention further provides a charging route determining apparatus, including:
the system comprises an acquisition module 10, a storage module and a processing module, wherein the acquisition module is used for acquiring current road information to which an electric automobile belongs, and the current road information comprises current position information, destination information and the current speed of the electric automobile;
the first determining module 20 is configured to determine a driving path of the electric vehicle and a dischargeable coefficient of a power battery according to the current road information;
A second determining module 30, configured to determine, according to the dischargeable coefficient and the current road information, predicted available electric quantity information of the electric vehicle;
and the third determining module 40 is configured to determine a target planned route of the electric vehicle according to the predicted available electric quantity information and the distribution information of the charging piles on the driving path.
Optionally, the second determining module 30 includes:
the first determining submodule is used for determining the whole vehicle energy consumption information of the electric vehicle according to the current road information;
the second determining submodule is used for correcting the whole vehicle energy consumption information according to the dischargeable coefficient and determining the predicted whole vehicle energy consumption information of the electric vehicle;
the third determining submodule is used for determining the predicted available electric quantity information of the electric automobile according to the predicted whole automobile energy consumption information and the first preset relation table; and the first preset relation table is used for representing the corresponding relation between the predicted whole vehicle energy consumption information and the predicted available electric quantity information.
Optionally, the third determining module 40 includes:
the fourth determining submodule is used for determining the predicted driving mileage according to the predicted available electric quantity information;
A fifth determining submodule, configured to obtain distribution information of charging piles on a driving path if the predicted driving mileage is less than a mileage corresponding to the driving path, and determine a target planned route of the electric vehicle according to the predicted available electric quantity information and the distribution information of the charging piles on the driving path;
and if the predicted driving mileage is larger than the mileage corresponding to the driving path, determining the target planning route of the electric automobile as the driving path.
Optionally, the fifth determining sub-module includes:
the planning unit is used for planning all charging driving paths of the electric vehicle to each charging pile according to the distribution information of the charging piles on the driving paths;
the calculating unit is used for calculating the predicted energy consumption and the predicted time of the electric automobile passing through each charging driving path;
the first determining unit is used for determining the charging driving path with the estimated energy consumption smaller than the estimated available electric quantity information as an effective charging driving path;
the second determination unit is used for determining a target charging driving path of the electric automobile according to the effective charging driving path and the estimated time;
The third determining unit is used for determining a target planning route of the electric automobile according to each target charging driving route expected to be charged and each target route expected to be uncharged; the target path which is not expected to be charged is a path from a charging pile which is charged by the electric automobile for the last time to the destination information.
Optionally, the third determining unit includes:
the first obtaining subunit is used for obtaining the current available electric quantity information of the electric automobile after each charging;
the first determining subunit is configured to determine, according to the current available electric quantity information and the destination information, whether a driving mileage corresponding to the current available electric quantity information is greater than a driving mileage of a current charging pile from the destination information;
the second determining subunit is configured to determine, if the driving range corresponding to the current available electric quantity information is greater than the driving range of the current charging pile from the destination information, that the driving path of the current charging pile from the destination information is the predicted uncharged target path;
and a third determining sub-unit determines a target planning route of the electric automobile according to each target charging driving route predicted to be charged and each target route predicted not to be charged.
Optionally, the third determining module 40 further includes:
the obtaining submodule is used for obtaining the current remaining electric quantity information of the electric automobile;
a sixth determining submodule, configured to determine, according to the current remaining power information of the electric vehicle, whether a driving mileage corresponding to the current remaining power information is greater than a driving mileage corresponding to the driving route;
a seventh determining submodule, configured to execute speed reduction processing if the driving mileage corresponding to the current remaining power information is smaller than the driving mileage corresponding to the driving path, and determine whether the driving mileage corresponding to the current remaining power information is smaller than the driving mileage corresponding to the driving path after the speed reduction processing;
and the eighth determining submodule is used for re-determining the target planning route of the electric automobile if the driving mileage corresponding to the current remaining power information is smaller than the driving mileage corresponding to the driving path after the speed reduction processing.
Optionally, the first determining unit includes:
the second acquiring subunit is used for acquiring an effective path with the shortest driving time from all effective charging driving paths of the electric vehicle to the target charging pile;
the first processing subunit is configured to, if only one effective path with the shortest travel time exists, take the effective path with the shortest travel time as an optimal path to the target charging pile;
The second processing subunit is configured to, if the at least two effective paths with the shortest travel time exist, take one effective path with the lowest energy consumption of the at least two effective paths with the shortest travel time as an optimal path to the charging pile;
and if the estimated driving mileage is less than the mileage corresponding to the driving path, the target planning route at least comprises one optimal path.
It should be noted that the distribution information of the charging pile includes at least one of the following items:
position information of the charging pile;
the state of the charging pile;
the number of idle charging piles;
the remaining time of the used charging pile from the full charging;
the current queuing number of people who charge in the reservation charging pile.
The embodiment of the present application further provides a readable storage medium, where a program is stored on the readable storage medium, and when the program is executed by a processor, the program implements each process of the charging route determining method embodiment described above, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
While the preferred embodiments of the present invention have been described, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the following claims.
Claims (10)
1. A charging route determination method, characterized by comprising:
acquiring current road information to which the electric automobile belongs, wherein the current road information comprises current position information, destination information and the current speed of the electric automobile;
determining a driving path of the electric automobile and a dischargeable coefficient of a power battery according to the current road information;
determining the predicted available electric quantity information of the electric automobile according to the dischargeable coefficient and the current road information;
and determining a target planning route of the electric automobile according to the predicted available electric quantity information and the distribution information of the charging piles on the driving path.
2. The method of claim 1, wherein the determining the projected available charge information for the electric vehicle comprises:
determining the whole vehicle energy consumption information of the electric vehicle according to the current road information;
correcting the whole vehicle energy consumption information according to the dischargeable coefficient, and determining the predicted whole vehicle energy consumption information of the electric vehicle;
determining the predicted available electric quantity information of the electric automobile according to the predicted whole automobile energy consumption information and a first preset relation table; and the first preset relation table is used for representing the corresponding relation between the predicted whole vehicle energy consumption information and the predicted available electric quantity information.
3. The method of claim 1, wherein the determining a target planned route of the electric vehicle according to the predicted available power information and the distribution information of the charging piles on the driving path comprises:
determining the predicted driving mileage according to the predicted available electric quantity information;
if the estimated driving mileage is smaller than the mileage corresponding to the driving path, acquiring distribution information of charging piles on the driving path, and determining a target planning route of the electric vehicle according to the estimated available electric quantity information and the distribution information of the charging piles on the driving path;
and if the estimated driving mileage is greater than the mileage corresponding to the driving path, determining the target planning route of the electric automobile as the driving path.
4. The method according to claim 3, wherein determining a target planned route of the electric vehicle according to the predicted available power information and the distribution information of the charging piles on the driving path comprises:
planning all charging driving paths of the electric vehicle to reach each charging pile according to the distribution information of the charging piles on the driving paths;
Calculating the predicted energy consumption and the predicted time of the electric automobile passing through each charging driving path;
determining the charging driving path with the estimated energy consumption smaller than the estimated available electric quantity information as an effective charging driving path;
determining a target charging driving path of the electric automobile according to the effective charging driving path and the estimated time;
determining a target planning route of the electric automobile according to each target charging driving route predicted to be charged and each target route predicted to be uncharged; and the target path which is not expected to be charged is a path from a charging pile which is charged by the electric automobile for the last time to the destination information.
5. The method of claim 4, wherein determining a target planned route for the electric vehicle based on each of the target charging driving route predicted to be charged and the target route predicted to be uncharged comprises:
after each charging, acquiring the current available electric quantity information of the electric automobile;
determining whether the driving mileage corresponding to the current available electric quantity information is larger than the driving mileage of the current charging pile from the destination information or not according to the current available electric quantity information and the destination information;
If the driving mileage corresponding to the current available electric quantity information is larger than the driving mileage of the current charging pile from the destination information, determining that the driving path of the current charging pile from the destination information is the predicted uncharged target path;
and determining a target planning route of the electric automobile according to each target charging driving route predicted to be charged and each target route predicted to be uncharged.
6. The method according to claim 1, wherein when the direction of the driving path is the direction from the destination information to the current location information, determining a target planned route of the electric vehicle, further comprises:
acquiring current remaining capacity information of the electric automobile;
determining whether the driving mileage corresponding to the current residual electric quantity information is larger than the driving mileage corresponding to the driving path or not according to the current residual electric quantity information of the electric automobile;
if the driving mileage corresponding to the current residual electric quantity information is smaller than the driving mileage corresponding to the driving path, executing speed reduction processing, and judging whether the driving mileage corresponding to the current residual electric quantity information is smaller than the driving mileage corresponding to the driving path or not after the speed reduction processing;
And if the driving mileage corresponding to the current residual electric quantity information is smaller than the driving mileage corresponding to the driving path after the speed reduction processing, re-determining the target planning route of the electric automobile.
7. The method according to claim 4, wherein after determining the charging driving path with the estimated energy consumption less than the estimated available power information as an effective charging driving path, the method comprises:
acquiring an effective path with the shortest running time from all effective charging running paths of the electric vehicle to the target charging pile;
if only one effective path with the shortest running time exists, taking the effective path with the shortest running time as an optimal path to the target charging pile;
if the effective paths with the shortest running time are at least two, taking one effective path with the lowest energy consumption in the at least two effective paths with the shortest running time as an optimal path to the charging pile;
and if the predicted driving mileage is less than the mileage corresponding to the driving path, the target planning route at least comprises one optimal path.
8. The method of claim 1, wherein the distribution information of the charging post comprises at least one of:
Position information of the charging pile;
the state of the charging pile;
the number of idle charging piles;
the remaining time of the used charging pile from the full charging;
the current queuing number of people who charge in the reservation charging pile.
9. A charging route determination device characterized by comprising:
the system comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring current road information to which an electric automobile belongs, and the current road information comprises current position information, destination information and the current speed of the electric automobile;
the first determining module is used for determining a driving path of the electric automobile and a dischargeable coefficient of a power battery according to the current road information;
the second determination module is used for determining the predicted available electric quantity information of the electric automobile according to the dischargeable coefficient and the current road information;
and the third determining module is used for determining a target planning route of the electric automobile according to the predicted available electric quantity information and the distribution information of the charging piles on the driving path.
10. A readable storage medium, characterized in that the readable storage medium has stored thereon a program that, when executed by a processor, realizes the steps of the charging route determination method according to any one of claims 1 to 8.
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