CN114670707B - 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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- CN114670707B CN114670707B CN202111375784.2A CN202111375784A CN114670707B CN 114670707 B CN114670707 B CN 114670707B CN 202111375784 A CN202111375784 A CN 202111375784A CN 114670707 B CN114670707 B CN 114670707B
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Classifications
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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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- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Automation & Control Theory (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Life Sciences & Earth Sciences (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
- Navigation (AREA)
Abstract
The invention provides a charging route determining method, a charging route determining 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 of an electric automobile, 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; according to the dischargeable coefficient and the current road information, determining estimated available electric quantity information of the electric automobile; and 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 is required to be charged or not in the target planning route to the destination can be determined according to the corresponding relation between the estimated available electric quantity information and the driving mileage, and user experience is improved.
Description
Technical Field
The present invention relates to the field of electric vehicles, and in particular, to a method and apparatus for determining a charging route, and a readable storage medium.
Background
In recent years, as the resource and environmental problems become more serious, the electric automobile industry becomes an industry for vigorous support in various countries. The vehicle-mounted facilities matched with the electric automobile are also rapidly developed, wherein the vehicle-mounted navigation system is used as the vehicle-mounted equipment which is indispensable in daily driving, and the accuracy of the vehicle-mounted navigation system has important significance for the electric automobile with shorter endurance mileage compared with the traditional fuel oil vehicle.
The charging plan of a part of vehicle types in the prior art is a non-intelligent plan, vehicle attributes are required to be defined by users, such as energy consumption, station entering SOC and other information, and the user experience is poor; the charging plan of another part of vehicle types 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, which are used for solving the problems that an electric automobile is single in route to a destination and the charging route cannot be updated in the prior art.
In order to solve the technical problems, 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 of an electric automobile, 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;
according to the dischargeable coefficient and the current road information, determining estimated available electric quantity information of the electric automobile;
and 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.
Optionally, the determining the estimated available electric quantity information of the electric automobile 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 estimated whole vehicle energy consumption information of the electric vehicle;
determining estimated available electric quantity information of the electric automobile according to the estimated whole automobile energy consumption information and a first preset relation table; the first preset relation table is used for representing the corresponding relation between the estimated whole vehicle energy consumption information and the estimated available electric quantity information.
Optionally, the determining the target planned 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 includes:
determining an estimated driving mileage according to the estimated available electric quantity information;
if the estimated 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 automobile 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.
Optionally, determining the target planned 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 includes:
according to the distribution information of the charging piles on the driving path, all charging driving paths of the electric automobile reaching each charging pile are planned;
calculating the estimated energy consumption and the estimated time of the electric automobile passing through each charging driving path;
determining a charging driving path of which the estimated energy consumption is 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 expected time;
determining a target planning route of the electric automobile according to each target charging driving path expected to be charged and each target path expected to be uncharged; and the target path which is not expected to be charged is the path of the last charging pile of the electric automobile from the destination information.
Optionally, determining a target planned route of the electric automobile according to each target charging driving path expected to be charged and each target path expected to be uncharged includes:
after each charging, acquiring current available electric quantity information of the electric automobile;
determining whether the driving distance corresponding to the current available electric quantity information is larger than the driving distance of the current charging pile from the destination information according to the current available electric quantity information and the destination information;
if the driving distance corresponding to the current available electric quantity information is larger than the driving distance 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 estimated uncharged target path;
and determining a target planned route of the electric automobile according to each target charging driving path expected to be charged and each target path expected to be uncharged.
Optionally, when the direction of the driving path is the direction from the destination information to the current position information, determining a target planned route of the electric automobile further includes:
acquiring current residual electric quantity information of the electric automobile;
determining whether the driving mileage corresponding to the current residual electric quantity information is greater 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 deceleration 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 after the deceleration 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 a 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 quantity information as the effective charging driving path, the method includes:
acquiring an effective path with shortest running time in all effective charging running paths of the electric vehicle reaching a target charging pile;
if only one effective path with the shortest running time exists, the effective path with the shortest running time is used as an optimal path for reaching the target charging pile;
if the number of the effective paths with the shortest running time is at least two, taking one effective path with the least energy consumption in the effective paths with the shortest running time in at least two as an optimal path for reaching the charging pile;
and if the predicted driving mileage is smaller 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 piles includes at least one of the following:
position information of the charging pile;
the state of the charging pile;
the number of free charging piles;
the used charging pile is spaced from the remaining time of filling;
the number of people currently queued for charging at the reserved charging post.
The embodiment of the invention also provides a charging route determining device, which comprises:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring current road information of an electric automobile, 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 the power battery according to the current road information;
the second determining module is used for determining the estimated 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 estimated available electric quantity information and the distribution information of the charging piles on the driving path.
The embodiment of the present invention also provides a readable storage medium having stored thereon a program which, when executed by a processor, implements the steps of the charging route determination method as set forth in any one of the above.
The beneficial effects of the invention are as follows:
in the technical scheme, current road information of the electric automobile is obtained, wherein the current road information comprises current position information, destination information and 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; here, the estimated available electric quantity information of the electric automobile can be adjusted in real time through the dischargeable coefficient, and finally, a target planning route of the electric automobile is determined 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 is required to be charged or not in the target planning route to the destination can be determined according to the corresponding relation between the estimated available electric quantity information and the driving mileage, and user experience is improved.
Drawings
Fig. 1 is a schematic flow chart of a charging route determining method according to an embodiment of the present invention;
FIG. 2 shows a graph of the correspondence between the dischargeable coefficients and the driving mileage provided by the invention;
fig. 3 is a schematic block diagram of a charging route determining device according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages to be solved more apparent, the following detailed description will be given with reference to the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided merely to facilitate a thorough understanding of embodiments of the invention. It will therefore be apparent to those skilled in the art that various changes and modifications can be made to 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 order of execution, and the order of execution of the processes should be determined by the functions and internal logic, and should not constitute any limitation on 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 an electric automobile in the prior art is single in route to a destination and a charging route cannot be updated.
As shown in fig. 1, an alternative embodiment of the present invention provides a charging route determining method, including:
step 100, obtaining current road information of an electric automobile, wherein the current road information comprises current position information, destination information and current speed of the electric automobile;
in this embodiment, the method may be performed by a service terminal, in particular, by one or more processors in the service terminal, through which the electric vehicle is communicatively connected 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 send the current location information to the service terminal in real time.
Step 200, determining a driving path of the electric automobile and a dischargeable coefficient of a power battery according to the current road information;
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 the driving path can be flexibly selected according to actual requirements; according to the destination information and the current speed of the electric vehicle, a dischargeable coefficient of the power battery is determined, specifically, the dischargeable coefficient can be shown as shown in fig. 2, and as the driving distance increases, the dischargeable coefficient decreases as seen from a corresponding relation diagram of the dischargeable coefficient and the driving distance.
Step 300, according to the dischargeable coefficient and the current road information, determining estimated available electric quantity information of the electric automobile;
in this embodiment, the estimated available electric quantity information of the electric vehicle is determined in real time based on the current road information, the navigation capability of the electric vehicle and the current dischargeable coefficient, and compared with the existing technical scheme, the estimated available electric quantity information is updated in real time, so that the accuracy of calculating the target planning route in the following process is ensured.
And 400, 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.
In this embodiment, whether the driving mileage corresponding to the driving path is supported is determined according to the estimated available electric quantity information, and when the estimated available electric quantity information is insufficient, the target charging can be planned to meet the purpose of continuing driving after charging, where a dischargeable coefficient is increased, in the actual driving process, the target planned route is adjusted in real time, so that the user experience is improved, and the situation that the electric quantity of the electric automobile is consumed in advance due to single planned route is prevented.
Specifically, the distribution information of the charging piles includes at least one of the following:
position information of the charging pile;
the state of the charging pile;
the number of free charging piles;
the used charging pile is spaced from the remaining time of filling;
the number of people currently queued for charging at the reserved charging post.
In this embodiment, the charging piles in the available state include charging piles currently in idle state and charging piles expected to be in idle state, and specifically include: 1) When the charging pile is in an idle state, and the reserved vehicle is zero. 2) And 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 smaller than the time of the electric vehicle expected to be charged to reach the charging pile. 3) And counting the current queuing number of the reserved charging pile in the charging station when the charging pile is in a charging state and the reserved vehicle is not zero, wherein the time required by charging the charging vehicle under the number of the current queuing number is less than the time for the electric vehicle to reach the charging pile. According to the embodiment, the state of the charging pile related to the electric automobile with the charging requirement can be intelligently recommended to the electric automobile through the distribution information of the charging pile, so that the electric automobile can be independently selected by a user, and the service 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 estimated whole vehicle energy consumption information of the electric vehicle;
determining estimated available electric quantity information of the electric automobile according to the estimated whole automobile energy consumption information and a first preset relation table; the first preset relation table is used for representing the corresponding relation between the estimated whole vehicle energy consumption information and the estimated available electric quantity information.
In this embodiment, the energy consumption information of the whole vehicle of the electric vehicle is determined according to the current road information and the self-navigation capability of the electric vehicle, where the energy consumption information of the whole vehicle 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 the estimated whole vehicle energy consumption information of the electric vehicle, wherein the estimated whole vehicle energy consumption information is obtained by the electric vehicle; and determining the estimated available electric quantity information of the electric automobile according to the estimated whole automobile energy consumption information and a first preset relation table, wherein the estimated available electric quantity information can be mapped into the real driving range of the current road condition. According to the method, the target charging pile can be charged before the depletion point according to the predicted available electric quantity information of the electric automobile and the preset pile selection rule.
Specifically, the step 400 includes:
step 410, determining an estimated driving mileage according to the estimated available electric quantity information;
step 420, if the estimated driving mileage is less than the mileage corresponding to the driving path, obtaining distribution information of the charging piles on the driving path, and determining a target planned 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 430, if the estimated 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, the estimated driving range is determined according to the estimated available electric quantity information, where the estimated driving range may be determined by a second preset relationship table, where the second preset relationship table is used to represent a corresponding relationship between the estimated available electric quantity information and the estimated driving range; and comparing the estimated driving mileage with the mileage corresponding to the driving path, if the estimated 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, wherein the driving path with the shortest time is preferably selected as the target planning route, and if the estimated driving mileage only supports the driving path with the shortest distance, the target planning route is the driving path with the shortest distance in the driving paths. And when the estimated 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 automobile according to the estimated available electric quantity information and the distribution information of the charging piles on the driving path. The invention ensures that two different schemes corresponding to the available electric quantity information in the driving process are provided, the diversity of the target planning route reaching the destination is ensured, and the experience of the user is improved.
It should be noted that, before the depletion point, according to the formulated pile selection rule, the distribution information of the charging piles on the driving path can be obtained according to the conditions of charging power, forward running, 5km along the way and the like.
Specifically, the step 420 includes:
step 421, planning all charging driving paths of the electric automobile reaching each charging pile according to the distribution information of the charging piles on the driving path;
step 422, calculating the estimated energy consumption and the estimated time for the electric vehicle to pass through each charging driving path;
step 423, determining the charging driving path of which the estimated energy consumption is smaller than the estimated available electric quantity information as an effective charging driving path;
step 424, determining a target charging driving path of the electric automobile according to the effective charging driving path and the estimated time;
here, the estimated time is the time at which the estimated driving is shortest, and the target charging driving path is the driving path at which the time is shortest.
Step 425, determining a target planned route of the electric automobile according to each target charging driving path expected to be charged and each target path expected to be uncharged; and the target path which is not expected to be charged is the path of the last charging pile of the electric automobile from the destination information.
In this embodiment, the target planned route with the shortest distance to the destination is determined by steps 421-425. If the target planned route is to be determined as the planned route with the shortest distance, the corresponding estimated time can be replaced by the estimated shortest driving distance, so that the target planned route with the shortest distance from the destination can be determined. It should be noted that the calculation of the estimated time or the estimated shortest driving distance is provided with corresponding calculation formulas in the corresponding controllers of the electric automobile, and different target planning routes can be calculated according to the requirements of the users.
Specifically, after step 423, the method includes:
acquiring an effective path with shortest running time in all effective charging running paths of the electric vehicle reaching a target charging pile;
if only one effective path with the shortest running time exists, the effective path with the shortest running time is used as an optimal path for reaching the target charging pile;
if the number of the effective paths with the shortest running time is at least two, taking one effective path with the least energy consumption in the effective paths with the shortest running time in at least two as an optimal path for reaching the charging pile;
and if the predicted driving mileage is smaller than the mileage corresponding to the driving path, the target planning route at least comprises one optimal path.
In this embodiment, an optimal path corresponding to each charging pile reached by the electric vehicle is found, that is, an effective path with shortest running time in all effective paths of the electric vehicle reaching a certain charging pile is found, if only one effective path with shortest running time is found, the effective path with shortest running time is used as an optimal path reaching the charging pile, and if more than two effective paths with shortest running time are found, one effective path with minimum energy consumption in the effective paths with shortest running time is used as an optimal path reaching the charging pile, and the charging pile corresponding to the optimal path is a target charging pile, that is, an optimal charging pile. If the estimated driving mileage is smaller than the mileage corresponding to the driving path, a target charging pile must be found, and the target planned route at least includes one optimal path.
Optionally, determining a target planned route of the electric automobile according to each target charging driving path expected to be charged and each target path expected to be uncharged includes:
after each charging, acquiring current available electric quantity information of the electric automobile;
determining whether the driving distance corresponding to the current available electric quantity information is larger than the driving distance of the current charging pile from the destination information according to the current available electric quantity information and the destination information;
if the driving distance corresponding to the current available electric quantity information is larger than the driving distance 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 estimated uncharged target path;
and determining a target planned route of the electric automobile according to each target charging driving path expected to be charged and each target path expected to be uncharged.
In this embodiment, after each charging, whether the current available electric quantity information supports reaching the destination is calculated, if the current available electric quantity information supports reaching the destination, the charging pile does not need to be continuously found in the follow-up process, the estimated uncharged target path of the current charging pile to the destination is calculated again, and the target planning route of the electric automobile can be planned through each target charging driving path and the estimated uncharged target path. If the current available electric quantity information does not support reaching the destination, the fact that the current charging pile goes to the next charging pile closest to the current charging pile is calculated to continue charging.
Optionally, when the direction of the driving path is the direction from the destination information to the current position information, determining a target planned route of the electric automobile further includes:
acquiring current residual electric quantity information of the electric automobile;
determining whether the driving mileage corresponding to the current residual electric quantity information is greater 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 greater 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 deceleration 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 after the deceleration 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 a target planning route of the electric automobile.
In this embodiment, when the direction of the driving path is the direction from the destination information to the current position information, that is, the current electric vehicle has reached the destination, the driving path of the return trip needs to be calculated. 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 current electric automobile is reduced to the speed of a certain threshold value, the starting point can be returned, namely, the deceleration treatment measure is adopted, and the starting point is returned according to the target planning route to the destination, at the moment, the scheme that the current electric automobile needs to be decelerated and then the current electric automobile can return can be prompted through an instrument panel or 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 deceleration processing, the current residual electric quantity information is indicated to be incapable of meeting the requirement of the return journey, and the target planning route of the electric automobile needs to be determined again, namely, the target charging pile is found, and then the return journey is carried out.
It should be noted that, the process of implementing the technical scheme can be implemented by a vehicle controller at a vehicle end, and also can be implemented by a scheme of combining a cloud server and the vehicle controller.
In summary, the technical scheme of the invention can determine the real driving range through the dischargeable coefficient, display the real driving range to the user to improve the user experience, support the complex pile selection model, avoid the complex information interaction of energy consumption estimation and pile selection estimation, shorten the calculation period, namely the display time to the user is shorter, and improve the user experience; the invention can support all travel conditions (including short travel below 80 km), support the carrier to be placed in cloud planning, support updating travel charging scheme during traveling, and the like.
As shown in fig. 3, an embodiment of the present invention further provides a charging route determining apparatus, including:
the acquiring module 10 is configured to acquire current road information to which the electric vehicle belongs, where the current road information includes current location information, destination information, and a current speed of the electric vehicle;
a first determining module 20, 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 estimated available electric quantity information of the electric vehicle according to the dischargeable coefficient and the current road information;
and a third determining module 40, configured to determine a target planned 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.
Optionally, the second determining module 30 includes:
the first determining submodule is used for determining the whole vehicle energy consumption information of the electric automobile 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 estimated whole vehicle energy consumption information of the electric vehicle;
the third determining submodule is used for determining the estimated available electric quantity information of the electric automobile according to the estimated whole automobile energy consumption information and a first preset relation table; the first preset relation table is used for representing the corresponding relation between the estimated whole vehicle energy consumption information and the estimated available electric quantity information.
Optionally, the third determining module 40 includes:
a fourth determining submodule, configured to determine an estimated driving mileage according to the estimated available electric quantity information;
a fifth determining submodule, configured to obtain distribution information of the charging piles on the driving path if the estimated driving mileage is less than the mileage corresponding to the driving path, and determine a target planned 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.
Optionally, the fifth determining submodule includes:
the planning unit is used for planning all charging driving paths of the electric automobile reaching each charging pile according to the distribution information of the charging piles on the driving paths;
the calculating unit is used for calculating the estimated energy consumption and the estimated time of the electric automobile passing through each charging driving path;
the first determining unit is used for determining a charging driving path of which the estimated energy consumption is smaller than the estimated available electric quantity information as an effective charging driving path;
the second determining unit is used for determining a target charging driving path of the electric automobile according to the effective charging driving path and the expected time;
a third determining unit, configured to determine a target planned route of the electric vehicle according to each of the target charging driving paths that are expected to be charged and the target paths that are expected to be uncharged; and the target path which is not expected to be charged is the path of the last charging pile of the electric automobile from the destination information.
Optionally, the third determining unit includes:
the first acquisition subunit is used for acquiring current available electric quantity information of the electric automobile after each charging;
the first determining subunit is used for determining whether the driving distance corresponding to the current available electric quantity information is larger than the driving distance of the current charging pile from the destination information according to the current available electric quantity information and the destination information;
the second determining subunit is configured to determine that a driving path of the current charging pile from the destination information is the target path that is not expected to be charged if the driving distance corresponding to the current available electric quantity information is greater than the driving distance of the current charging pile from the destination information;
and the third determiner determines a target planning route of the electric automobile according to each target charging driving route which is expected to be charged and each target route which is expected to be uncharged.
Optionally, the third determining module 40 further includes:
the acquisition sub-module is used for acquiring the current residual electric quantity information of the electric automobile;
a sixth determining submodule, configured to determine, according to current remaining capacity information of the electric automobile, whether a driving distance corresponding to the current remaining capacity information is greater than a driving distance corresponding to the driving path;
a seventh determining submodule, configured to execute deceleration processing if the driving distance corresponding to the current remaining capacity information is smaller than the driving distance corresponding to the driving path, and determine whether the driving distance corresponding to the current remaining capacity information is smaller than the driving distance corresponding to the driving path after the deceleration processing;
and the eighth determining submodule is used for determining the target planning route of the electric automobile again if the driving mileage corresponding to the current residual electric quantity information is smaller than the driving mileage corresponding to the driving route after the deceleration processing.
Optionally, the first determining unit includes:
the second acquisition subunit is used for acquiring an effective path with the shortest running time in all effective charging running paths of the electric automobile reaching the target charging pile;
the first processing subunit is used for taking the effective path with the shortest running time as the optimal path for reaching the target charging pile if only one effective path with the shortest running time exists;
the second processing subunit is used for taking one effective path with the minimum energy consumption in at least two effective paths with the shortest running time as the optimal path for reaching the charging pile if the number of the effective paths with the shortest running time is at least two;
and if the predicted driving mileage is smaller 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:
position information of the charging pile;
the state of the charging pile;
the number of free charging piles;
the used charging pile is spaced from the remaining time of filling;
the number of people currently queued for charging at the reserved charging post.
The embodiment of the present application further provides a readable storage medium, where a program is stored, and when the program is executed by a processor, the processes of the embodiment of the charging route determining method described above are implemented, and the same technical effects can be achieved, so that repetition is avoided, and no further description is given here. Wherein the readable storage medium is selected from Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
Finally, it is further noted that relational terms such as first and second, and the like are 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. Moreover, 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 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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that various modifications and changes can be made without departing from the principles of the present invention, and such modifications and changes are intended to be within the scope of the present invention.
Claims (9)
1. A charging route determination method, characterized by comprising:
acquiring current road information of an electric automobile, 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; with the increase of the driving mileage, the dischargeable coefficient is reduced in a stepwise manner until the dischargeable coefficient is a stable coefficient after the driving mileage reaches 600 km;
according to the dischargeable coefficient and the current road information, determining estimated available electric quantity information of the electric automobile; the estimated available electric quantity information is updated in real time;
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, wherein the distribution information is determined according to a preset pile selection rule;
wherein, the determining the estimated available electric quantity information of the electric automobile includes:
determining the whole vehicle energy consumption information of the electric vehicle according to the current road information; the whole vehicle energy consumption information comprises energy consumption information of a driving motor, an air conditioning system and a high-voltage component of a direct current-direct current charger;
correcting the whole vehicle energy consumption information according to the dischargeable coefficient, and determining the estimated whole vehicle energy consumption information of the electric vehicle;
determining estimated available electric quantity information of the electric automobile according to the estimated whole automobile energy consumption information and a first preset relation table; the first preset relation table is used for representing the corresponding relation between the estimated whole vehicle energy consumption information and the estimated available electric quantity information.
2. The method according to claim 1, wherein the determining the target planned 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 includes:
determining an estimated driving mileage according to the estimated available electric quantity information;
if the estimated 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 automobile 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.
3. The method of claim 2, wherein determining the target planned route of the electric vehicle based on the estimated available power information and the distribution information of the charging piles on the driving path comprises:
according to the distribution information of the charging piles on the driving path, all charging driving paths of the electric automobile reaching each charging pile are planned;
calculating the estimated energy consumption and the estimated time of the electric automobile passing through each charging driving path;
determining a charging driving path of which the estimated energy consumption is 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 expected time;
determining a target planning route of the electric automobile according to each target charging driving path expected to be charged and each target path expected to be uncharged; and the target path which is not expected to be charged is the path of the last charging pile of the electric automobile from the destination information.
4. A method according to claim 3, wherein determining a target planned route for the electric vehicle from each of the target charging travel paths that are expected to be charged and target paths that are expected to be uncharged comprises:
after each charging, acquiring current available electric quantity information of the electric automobile;
determining whether the driving distance corresponding to the current available electric quantity information is larger than the driving distance of the current charging pile from the destination information according to the current available electric quantity information and the destination information;
if the driving distance corresponding to the current available electric quantity information is larger than the driving distance 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 estimated uncharged target path;
and determining a target planned route of the electric automobile according to each target charging driving path expected to be charged and each target path expected to be uncharged.
5. The method of claim 1, wherein determining the target planned route of the electric vehicle when the direction of the driving path is the direction from the destination information to the current location information, further comprises:
acquiring current residual electric quantity information of the electric automobile;
determining whether the driving mileage corresponding to the current residual electric quantity information is greater 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 deceleration 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 after the deceleration 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 a target planning route of the electric automobile.
6. A method according to claim 3, wherein after determining a charging path for which the estimated energy consumption is less than the estimated available power amount information as a valid charging path, the method comprises:
acquiring an effective path with shortest running time in all effective charging running paths of the electric vehicle reaching a target charging pile;
if only one effective path with the shortest running time exists, the effective path with the shortest running time is used as an optimal path for reaching the target charging pile;
if the number of the effective paths with the shortest running time is at least two, taking one effective path with the least energy consumption in the effective paths with the shortest running time in at least two as an optimal path for reaching the charging pile;
and if the predicted driving mileage is smaller than the mileage corresponding to the driving path, the target planning route at least comprises one optimal path.
7. The method of claim 1, wherein the distribution information of the charging piles includes at least one of:
position information of the charging pile;
the state of the charging pile;
the number of free charging piles;
the used charging pile is spaced from the remaining time of filling;
the number of people currently queued for charging at the reserved charging post.
8. A charging route determination device, characterized by comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring current road information of an electric automobile, 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 the power battery according to the current road information; with the increase of the driving mileage, the dischargeable coefficient is reduced in a stepwise manner until the dischargeable coefficient is a stable coefficient after the driving mileage reaches 600 km;
the second determining module is used for determining the estimated available electric quantity information of the electric automobile according to the dischargeable coefficient and the current road information; the estimated available electric quantity information is updated in real time;
the third determining module is used for 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, wherein the distribution information is determined according to a preset pile selection rule;
wherein the second determining module includes:
the first determining submodule is used for determining the whole vehicle energy consumption information of the electric automobile according to the current road information; the whole vehicle energy consumption information comprises energy consumption information of a driving motor, an air conditioning system and a high-voltage component of a direct current-direct current charger;
the second determining submodule is used for correcting the whole vehicle energy consumption information according to the dischargeable coefficient and determining the estimated whole vehicle energy consumption information of the electric vehicle;
the third determining submodule is used for determining the estimated available electric quantity information of the electric automobile according to the estimated whole automobile energy consumption information and a first preset relation table; the first preset relation table is used for representing the corresponding relation between the estimated whole vehicle energy consumption information and the estimated available electric quantity information.
9. A readable storage medium, characterized in that the readable storage medium has stored thereon a program which, when executed by a processor, implements the steps of the charging route determination method according to any one of claims 1 to 7.
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| CN117332163A (en) * | 2023-10-10 | 2024-01-02 | 广东健电新能源科技有限公司 | Charging pile charging information pushing method and system |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016006400A (en) * | 2014-06-20 | 2016-01-14 | 住友電工システムソリューション株式会社 | Route search device, route search system, and computer program |
| CN110103719A (en) * | 2019-05-08 | 2019-08-09 | 广州小鹏汽车科技有限公司 | Charge prompting method, system and the vehicle of electric car |
| CN111220168A (en) * | 2019-11-29 | 2020-06-02 | 安徽江淮汽车集团股份有限公司 | Method and device for planning charging path of electric vehicle and storage medium |
-
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016006400A (en) * | 2014-06-20 | 2016-01-14 | 住友電工システムソリューション株式会社 | Route search device, route search system, and computer program |
| CN110103719A (en) * | 2019-05-08 | 2019-08-09 | 广州小鹏汽车科技有限公司 | Charge prompting method, system and the vehicle of electric car |
| CN111220168A (en) * | 2019-11-29 | 2020-06-02 | 安徽江淮汽车集团股份有限公司 | Method and device for planning charging path of electric vehicle and storage medium |
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