CN117021986A - Real-time charging method for shared electric automobile and intelligent charging station - Google Patents

Real-time charging method for shared electric automobile and intelligent charging station Download PDF

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Publication number
CN117021986A
CN117021986A CN202311252985.2A CN202311252985A CN117021986A CN 117021986 A CN117021986 A CN 117021986A CN 202311252985 A CN202311252985 A CN 202311252985A CN 117021986 A CN117021986 A CN 117021986A
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charging
driving
route
vehicle
distance
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CN202311252985.2A
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CN117021986B (en
Inventor
曹炯
胡学忠
焦阳
林生津
吴昊
张伟波
王鹏
刘可龙
王海斌
裴宇豪
杨跃平
黄致远
叶明峰
曹松钱
戴涵竹
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Ningbo Sanming Electric Power Development Co ltd
Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Ningbo Sanming Electric Power Development Co ltd
Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Priority to CN202311252985.2A priority Critical patent/CN117021986B/en
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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
    • 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
    • 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]
    • 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
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/70—Interactions with external data bases, e.g. traffic centres
    • B60L2240/72—Charging station selection relying on external data
    • 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
    • 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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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Navigation (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The invention relates to the technical field of electric vehicles, in particular to a real-time charging method of a shared electric vehicle and an intelligent charging station, which solve the problems that: after an electric automobile selects a charging station, the information of other charging stations is not continuously acquired, and the most suitable charging station cannot be updated timely. Acquiring a charging station which can be reached by the electric automobile according to the theoretical driving distance; planning a first running route of the electric vehicle according to the position of the charging station, planning a second running route of the electric vehicle according to the selectable charging points and the destination, selecting the selectable charging points according to the first running route and the second running route, screening the selectable charging points according to the first running route, and marking the selectable charging points passing through the first running route as the selectable charging points; and judging whether the target charging point meets the replacement condition according to the second vehicle position allowance and the second driving route.

Description

Real-time charging method for shared electric automobile and intelligent charging station
Technical Field
The invention relates to the technical field of electric vehicles, in particular to a real-time charging method of a shared electric vehicle and an intelligent charging station.
Background
With the gradual popularization of electric vehicles, the charging problem of the electric vehicles is also more serious, if a charging network with reasonable layout and perfect facilities is not provided, the convenience of using the electric vehicles is greatly reduced, many users of the electric vehicles do not have private charging piles, need to go to a public charging station for charging, the users can ensure to reach the charging station through reservation of a parking space of the charging station in the way of going to the public charging station, the charging can be carried out after the users arrive, but in the process of selecting the charging station, the system only usually considers the distance between the electric vehicles and the charging station, but does not consider the destination which needs to go to after the charging is completed, so that the users cannot be intelligent enough when selecting the charging station, and after selecting the charging station, the users do not continuously acquire information of other charging stations, so that the most suitable charging station cannot be updated timely.
In the related art, CN115339332B discloses an interactive electric vehicle charging facility selection method and a sharing system, in which a manner of selecting a charging station by a destination location is described, but the most suitable charging station cannot be updated in the process of going to the charging station.
Disclosure of Invention
The invention solves the problems that: after the electric automobile selects the charging station, the information of other charging stations is not continuously acquired, and the most suitable charging station cannot be updated timely.
In order to solve the above problems, an embodiment of the present invention provides a real-time charging method for a shared electric vehicle, the charging method including: acquiring the residual electric quantity and the historical driving information of the electric automobile to obtain a theoretical driving distance, and acquiring a charging station which can be reached by the electric automobile according to the theoretical driving distance; planning a first driving route of the electric vehicle according to the position of the charging station, acquiring a traffic state of the first driving route, and correcting the theoretical driving distance according to the traffic state and the historical driving information of the electric vehicle to obtain a corrected driving distance; screening the charging stations according to the corrected driving distance to obtain selectable charging points; inputting charging time of the electric automobile and a destination to which the electric automobile needs to go after charging is finished, and acquiring a first vehicle margin in an optional charging point; judging whether the electric automobile reaches an optional charging point or not to be chargeable according to the quantity of the first vehicle margin and the first driving route; if yes, planning a second driving route of the electric automobile according to the selectable charging points and the destination, selecting the selectable charging points according to the first driving route and the second driving route, and marking the selected selectable charging points as target charging points; screening the selectable charging points according to a first driving route corresponding to the target charging point, and marking the selectable charging points passing through the first driving route as selectable charging points; acquiring a second vehicle position allowance in each alternative charging point in real time, and judging whether the target charging point meets the replacement condition according to the second vehicle position allowance and the second driving route when the electric vehicle drives along the first driving route; if the second vehicle margin meets the replacement condition, a target charging point replacement prompt is sent out; if the second vehicle position allowance can not meet the replacement condition, the electric vehicle continues to run along the first running route.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the acquisition of surplus electric quantity and historical driving information, the furthest that lets electric automobile can travel is more accurate, also let electric automobile can acquire more charging stations when charging the planning, the acquisition of traffic state and historical driving information, let electric automobile's actual travel distance accord with electric automobile historical travel state more, ensure that electric automobile can reach this charging station after the charging station is selected, monitor the charging station of can selecting through first vehicle position surplus, avoid electric automobile to arrive unable timely charging after this charging station, the rethread combines together first travel route and second travel route, let electric automobile can with follow-up stroke looks adaptation when selecting the charging station, let the selection of charging station more scientific, the setting of alternative charging point, let electric automobile can look for more suitable charging station at the in-process of traveling, reduce driver's travel time, let the selection of charging station more scientific.
In one embodiment of the present invention, a first driving route of an electric vehicle is planned according to a position of a charging station, a traffic state of the first driving route is obtained, a theoretical driving distance is corrected according to the traffic state and historical driving information of the electric vehicle, and a corrected driving distance is obtained, which specifically includes: acquiring a user image for driving the electric automobile, acquiring image information, and acquiring the driving habit of the user according to the image information; predicting the average speed of the electric automobile on a first driving route according to the traffic state; predicting the acceleration change state of the electric automobile on a first driving route according to the driving habit and the average speed, and obtaining correction parameters according to the acceleration change state; and correcting the theoretical driving distance according to the correction parameters to obtain the corrected driving distance.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the user image is acquired, so that different information acquisition can be carried out according to different drivers when the charging planning is carried out, the acquired data is more in line with the charging planning, the prediction of the acceleration change state is more accurate, and the accuracy of correcting the driving distance is improved.
In one embodiment of the present invention, the method predicts the acceleration change state of the electric vehicle on the first driving route according to the driving habit and the average speed, and obtains the correction parameter according to the acceleration change state, specifically includes: predicting the fastest running speed of the electric automobile on a first running route according to the driving habit; acquiring road information and the number of intersections in a first driving route, and calculating obstacle parameters of the first driving route according to the road information and the number of intersections; and predicting the acceleration change state according to the fastest running speed and the obstacle parameters.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the detection of the fastest driving speed enables the correction parameter distance to be more in accordance with the driving habit of a driver, the detection of road information and the number of intersections, the calculation of the obstacle parameters is more in accordance with the road condition of the first driving route, the accuracy of the obstacle parameters is improved, the road condition and the driving speed are converted into the parameter index of electric energy consumption through the prediction of the acceleration change state, and the correction parameter distance is more accurate.
In one embodiment of the present invention, the charging station is screened according to the corrected driving distance to obtain the selectable charging point, which specifically includes: comparing the corrected travel distance with the route length of the first travel route; when the route length of the first travel route is greater than the corrected travel distance, marking the first travel route as an over-distance route, and deleting a charging station corresponding to the over-distance route; when the route length of the first travel route is smaller than the corrected travel distance, the charging station is marked as an optional charging point.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the charging stations are screened by correcting the driving distance, so that the charging stations which cannot be reached after the driving distance is corrected are eliminated, and the stability of charging planning is improved.
In one embodiment of the present invention, determining whether the electric vehicle reaches the optional charging point according to the number of the first vehicle margin and the first driving route includes: acquiring an electric vehicle which goes to an optional charging point at the current time and marking the electric vehicle as a target vehicle; when the first vehicle margin-the number of target vehicles is larger than a first vehicle threshold, randomly selecting an empty vehicle to reserve, and locking a charging gun of the empty vehicle in target time; and reminding a driver of the risk of being incapable of timely charging when the first vehicle position allowance is larger than the number of the target vehicles and the first vehicle position allowance minus the number of the target vehicles is smaller than or equal to a first vehicle position threshold value.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: according to the first vehicle position allowance, the charging piles in the selectable charging points are locked, the reserved users can smoothly charge after reaching the selectable charging points, and the reservation function is ensured not to influence the electric vehicle to charge in advance due to the setting of the first vehicle position threshold.
In one embodiment of the present invention, screening the selectable charging points according to a first travel route corresponding to the target charging point, and marking the selectable charging points passing through the first travel route as the selectable charging points specifically includes: when the target charging points are selected, calculating the distance from each selectable charging point to the first driving route to obtain a deviation distance; calculating a first distance threshold according to the traffic state and the road information, and selecting an alternative charging point according to the first distance threshold and the deviation distance; when the deviation distance is smaller than or equal to a first distance threshold value, marking the selectable charging point as an alternative charging point; when the offset distance is greater than the first distance threshold, the option to go to a selectable charging point will be excluded.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the calculation of the deviation distance can obtain the shortest distance of the electric vehicle to other optional charging points in the running process, the calculation of the first distance threshold value enables the judgment of the optional charging points to be more accurate, ensures that the schedule planning of the electric vehicle is more reasonable after the target charging points are replaced, enables the electric vehicle to have an optional charging scheme in the running process through the arrangement of the optional charging points, and enables the charging planning to be updated timely.
In one embodiment of the present invention, a second vehicle position allowance in each candidate charging point is obtained in real time, and when the electric vehicle travels along the first travel route, whether the target charging point meets the replacement condition is determined according to the second vehicle position allowance and the second travel route, specifically including: after the acquisition of the alternative charging points is completed, queuing the electric automobile on line at each alternative charging point; when no electric vehicle enters after the second vehicle residual quantity in the alternative charging point passes the first target time, distributing the second vehicle residual quantity to the electric vehicles queued on line; acquiring a third driving route between the alternative charging point and the destination, and calculating a time difference value between the third driving route and the second driving route of the electric automobile; and judging whether the target charging point meets the replacement condition according to the time difference value.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the setting of the first target time ensures that the second vehicle allowance cannot be monopoly by the electric vehicles which are queued on line, ensures the benefits of the electric vehicles which directly reach the alternative charging point to charge while ensuring that the electric vehicles can be queued on line, calculates the time difference value, ensures that the system can automatically judge whether to replace the target charging point, and ensures that the real-time charging method is more intelligent.
In one embodiment of the present invention, determining whether the target charging point satisfies the replacement condition according to the time difference value specifically includes: acquiring the residual running time of the first running route and recording the residual running time as a first time result; when the first time result is larger than the time difference value and the exceeding time is larger than or equal to the first time threshold value, replacing the target charging point with an alternative charging point; when the first time result is larger than the time difference value and the exceeding time is smaller than the first time threshold value, reminding the user that the target charging point can be manually replaced; when the first time result is smaller than or equal to the time difference value, the target charging point does not meet the replacement condition.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the setting of the first time result enables the system to be compared with the first driving route when the target charging point is judged to be replaced, the replacement judgment of the target charging point is more accurate, the setting of the first time threshold enables the system to make different reactions according to different working conditions, and the charging method is more intelligent.
In an embodiment of the present invention, the present invention further provides a smart charging station for a shared electric vehicle, where the real-time charging method for a shared electric vehicle described in the above embodiment is applied to the smart charging station, and the smart charging station includes: the information reading module is used for reading charging information sent by the electric automobile; the information detection module is used for detecting first vehicle position allowance in the intelligent charging station; the intelligent charging station of the shared electric automobile has all technical characteristics of the real-time charging method of the shared electric automobile, and the details are not repeated here.
Drawings
For a clearer description of the technical solutions of the embodiments of the present invention, the drawings to be used in the description of the embodiments will be briefly introduced, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art;
FIG. 1 is a flow chart of a real-time charging method according to the present invention;
FIG. 2 is a second flowchart of the real-time charging method of the present invention;
FIG. 3 is a third flowchart of the real-time charging method according to the present invention;
FIG. 4 is a flow chart of a real-time charging method according to the present invention;
FIG. 5 is a flow chart of a real-time charging method according to the present invention;
FIG. 6 is a flowchart of a real-time charging method according to the present invention;
fig. 7 is a system diagram of a smart charging station sharing an electric vehicle according to the present invention.
Reference numerals illustrate:
100-smart charging station; 110-an information reading module; 120-an information detection module; 130-information processing module.
Detailed Description
In order that the above objects, features and advantages of the invention will be readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
[ first embodiment ]
Referring to fig. 1 and 2, in a specific embodiment, the present invention provides a real-time charging method for a shared electric vehicle, where the charging method includes:
s100, acquiring the residual electric quantity and the historical driving information of the electric automobile to obtain a theoretical driving distance, and acquiring a charging station which can be reached by the electric automobile according to the theoretical driving distance;
s200, planning a first driving route of the electric vehicle according to the position of the charging station, acquiring a traffic state of the first driving route, and correcting the theoretical driving distance according to the traffic state and the historical driving information of the electric vehicle to obtain a corrected driving distance;
s300, screening the charging stations according to the corrected driving distance to obtain selectable charging points;
s400, inputting charging time of the electric automobile, needing to go to a destination after charging is finished, and acquiring a first vehicle margin in an optional charging point;
s500, judging whether the electric automobile reaches an optional charging point or not to be chargeable according to the quantity of the first vehicle margin and the first driving route;
s510, if yes, planning a second driving route of the electric automobile according to the selectable charging points and the destination, selecting the selectable charging points according to the first driving route and the second driving route, and marking the selected selectable charging points as target charging points;
S520, screening the selectable charging points according to a first driving route corresponding to the target charging point, and marking the selectable charging points passing through the first driving route as alternative charging points;
s530, acquiring a second vehicle position allowance in each alternative charging point in real time, and judging whether the target charging point meets the replacement condition according to the second vehicle position allowance and the second driving route when the electric vehicle runs along the first driving route;
s531, if the second vehicle margin meets the replacement condition, a target charging point replacement prompt is sent out;
s532, if the second vehicle margin cannot meet the replacement condition, the electric vehicle continues to run along the first running route.
In step S100, during the running of the electric vehicle, the electric vehicle records the running length and the percentage of the electric quantity consumption, when the electric vehicle needs to be charged, the charging planning can be performed on the central control display screen of the electric vehicle, when the charging planning is performed, the system calculates the theoretical running distance according to the remaining electric quantity of the electric vehicle, the theoretical running distance is the farthest distance that the current electric quantity percentage is used to run in the last month, after the theoretical running distance is obtained, the specific positions of all charging stations are obtained, and the charging stations that can be reached are selected according to the theoretical running distance.
In step S200, the first driving route is planned by the navigation system, and when the first driving route is determined, the traffic state of the first driving route is obtained, the traffic state includes the road information and the congestion condition of the first driving route, the road information and the congestion condition can affect the driving speed of the electric vehicle, the historical driving information can analyze the driving habit of the driver, the driving mode of the driver is obtained, these factors can affect the theoretical driving distance, the faster the driving speed of the electric vehicle is, the larger the consumed electric quantity is, the more frequent the acceleration and deceleration conditions are, and the larger the consumed electric quantity is, so that in order to ensure that the electric vehicle can reach the charging station, the correction of the theoretical driving distance is required by the data.
In step S400, the user may input the destination when starting the charging plan, when the user inputs the destination, not only the distance between the electric vehicle and the charging station, but also the distance between the charging station and the destination need to be considered, when the destination is not input, only the distance between the electric vehicle and the charging station needs to be considered, the charging time is also selectively input by the user, the input charging time can predict the route of the electric vehicle to the destination after the charging is finished, when a plurality of selectable charging points exist, the parking space allowance in each selectable charging point needs to be acquired, and each selectable charging point corresponds to a first parking space allowance.
When it is determined that the electric vehicle does not necessarily reach the selectable charging point and can be charged according to the first vehicle margin, the priority selected by the selectable charging point is reduced.
In step S500, a specific time for the electric vehicle to reach each optional charging point is obtained through the first driving route, and whether the optional charging points can be moved to is determined according to the number of the first vehicle margin, so that no charging point is generated after the electric vehicle reaches the optional charging point because too many electric vehicles move to a certain optional charging point at the same time is avoided.
In step S510, when the system determines that the electric vehicle can be charged after reaching the optional charging point, the distance from the electric vehicle to the optional charging point, that is, the length of the first travel route is obtained, if the user inputs the destination, the distance from the optional charging point to the destination, that is, the length of the second travel route is also required to be obtained, the sorting is performed according to the sum of the length of the first travel route and the length of the second travel route, and after the sorting is completed, the optional charging point with the shortest sum of the lengths is marked as the target charging point.
In step S520, after the target charging points are selected, navigation is provided to the electric vehicle according to the first driving route, and meanwhile, the selectable charging points passing through the first driving route are marked, because some selectable charging points are not bad in driving route, but the first vehicle margin in the selectable charging points is insufficient, the selectable charging points are marked as selectable charging points, and the situation in the selectable charging points is acquired in real time during the driving of the electric vehicle along the first driving route.
In steps S530 to S532, whether the electric vehicle can go to the alternative charging point is determined by acquiring the second vehicle position allowance in the alternative charging point, when the system determines that the replacement target charging point can improve the efficiency of the electric vehicle in the current trip, the system can send out a reminder of the replacement target charging point, or when a large number of charging spaces appear in a short time at a certain alternative charging point with a relatively short distance, the system can automatically switch the target charging point and inform the driver to make the electric vehicle go to the new target charging point, and if no suitable alternative charging point appears in the driving process of the first driving route, the system continuously provides navigation broadcasting of the first driving route.
The acquisition of surplus electric quantity and historical driving information, the furthest that lets electric automobile can travel is more accurate, also let electric automobile can acquire more charging stations when charging the planning, the acquisition of traffic state and historical driving information, let electric automobile's actual travel distance accord with electric automobile historical travel state more, ensure that electric automobile can reach this charging station after the charging station is selected, monitor the charging station of can selecting through first vehicle position surplus, avoid electric automobile to arrive unable timely charging after this charging station, the rethread combines together first travel route and second travel route, let electric automobile can with follow-up stroke looks adaptation when selecting the charging station, let the selection of charging station more scientific, the setting of alternative charging point, let electric automobile can look for more suitable charging station at the in-process of traveling, reduce driver's travel time, let the selection of charging station more scientific.
[ second embodiment ]
Referring to fig. 3, in a specific embodiment, a first driving route of the electric vehicle is planned according to a position of the charging station, a traffic state of the first driving route is obtained, and a theoretical driving distance is corrected according to the traffic state and historical driving information of the electric vehicle to obtain a corrected driving distance, which specifically includes:
s210, acquiring a user image for driving the electric automobile, obtaining image information, and acquiring the vehicle driving habit of the user according to the image information;
s220, predicting the average speed of the electric automobile on a first driving route according to the traffic state;
s230, predicting the acceleration change state of the electric automobile on the first driving route according to the driving habit and the average speed, and obtaining correction parameters according to the acceleration change state;
s240, correcting the theoretical driving distance according to the correction parameters to obtain the corrected driving distance.
In step S210, after the charging plan is started, the system acquires a user image of the driver, and then determines whether the user drives the electric vehicle under the charging plan according to the user image, if yes, the driving habit of the user driving the electric vehicle under the charging plan is called, and if not, the subsequent calculation is performed according to the popular driving habit preset by the system.
In steps S220 to S240, analysis is performed according to different driving conditions, so as to predict the current consumption of electricity by the driver during driving, and correct the theoretical driving distance.
The user image is acquired, so that different information acquisition can be carried out according to different drivers when the charging planning is carried out, the acquired data is more in line with the charging planning, the prediction of the acceleration change state is more accurate, and the accuracy of correcting the driving distance is improved.
[ third embodiment ]
Referring to fig. 4, in a specific embodiment, predicting an acceleration change state of the electric vehicle on the first driving route according to the driving habit and the average speed, and obtaining the correction parameter according to the acceleration change state specifically includes:
s231, predicting the fastest running speed of the electric automobile on the first running route according to the driving habit;
s232, obtaining road information and the number of intersections in the first driving route, and calculating obstacle parameters of the first driving route according to the road information and the number of intersections;
s233, predicting the acceleration change state according to the fastest running speed and the obstacle parameters.
In step S231, the driving style of the driver is first determined according to the driving habit, if the driving style of the driver is biased to the high-speed driving, the fastest driving speed is the road speed limit as long as the first driving route is not in the whole-course construction state or is in the very congested state, if the driving style of the driver is biased to the low-speed driving, the fastest driving speed is 70% of the highest road speed limit, the road speed limit of the partial road section is calculated according to the road speed limit when the road speed limit of the partial road section is lower than 70% of the highest road speed limit, if the driving style of the driver has no obvious bias, the fastest driving speed is predicted according to the traffic state, and if the road is in the congested state, the fastest driving speed is 80% of the highest road speed limit, and if the road is in the normal state or the clear state, the fastest driving speed is the road speed limit.
In step S232, the road information refers to the number of lanes on the first driving route, the road parameters are obtained according to the road information, the length of the lanes of each road section and the number of lanes are comprehensively calculated to obtain the average number of lanes of the first driving route, and the more the number of lanes is during the driving of the first driving route, the less the influence of the lanes on the driving speed is, for example, the total number of lanes of the first driving route is 10KM, wherein 3KM is double-lane driving, 7KM is four-lane driving, and the average number of lanes is D 1 D is then 1 = (3×2+7×4)/(10=3.4), and the road parameter is T 1 ，T 1 And D 1 Has the following relationship:
when D is 1 When not less than 3, T 1 =1；
When D is 1.5-or less 1 When less than 3, T 1 =0.9；
When 1 is less than or equal to D 1 When less than 1.5, T 1 =0.8。
Then calculating intersection parameters according to the number of intersections, wherein the smaller the number of intersections is, the lower the speed change frequency of the electric automobile is, and the number F of the three-way intersections is respectively obtained 1 And the number F of four-vehicle intersections 2 RecordingThe intersection parameter is T 2 ，T 2 =（0.9F 1 +0.8F 2 ）÷（F 1 +F 2 ) Recording the obstacle parameter as T 0 ，T 0 =T 1 ×T 2 。
In step S233, the obstacle parameter is T 0 To predict the change state of acceleration according to T 0 Different acceleration change levels are divided, the fastest driving speed is combined under the different acceleration change levels, if the driving style of the driver does not have obvious deviation or the driving style of the driver deviates to the high-speed driving, different correction parameters are obtained according to the different acceleration change levels, and the correction parameters are recorded as S, and the method specifically comprises the following steps:
When T is 0 When the temperature is more than or equal to 0.95, S=0.95;
when D is 0.85-D 1 S=0.9 when < 0.95;
when D is 0.72-D 1 S=0.8 at < 0.85.
And if the fastest driving speed is 70% of the highest value of the road speed limit, the correction parameter S=0.95, and the correction coefficient is multiplied by the theoretical driving mileage to obtain the corrected driving mileage.
It should be noted that, under normal conditions, the actual mileage that the electric vehicle can travel is greatly different from the theoretical mileage displayed on the instrument panel, and in extreme cases, the actual mileage may have a gap of more than 50%, but because the theoretical mileage of the present application is obtained during daily traveling, the correction range is smaller when the theoretical mileage is corrected.
The detection of the fastest driving speed enables the correction parameter distance to be more in accordance with the driving habit of a driver, the detection of road information and the number of intersections, the calculation of the obstacle parameters is more in accordance with the road condition of the first driving route, the accuracy of the obstacle parameters is improved, the road condition and the driving speed are converted into the parameter index of electric energy consumption through the prediction of the acceleration change state, and the correction parameter distance is more accurate.
[ fourth embodiment ]
Referring to fig. 5, in a specific embodiment, the screening of the charging stations according to the corrected driving distance to obtain the selectable charging points specifically includes:
S310, comparing the corrected driving distance with the route length of the first driving route;
s320, when the route length of the first travel route is greater than the corrected travel distance, marking the first travel route as an over-distance route, and deleting a charging station corresponding to the over-distance route;
s330, when the route length of the first driving route is smaller than the corrected driving distance, the charging station is marked as an optional charging point.
In step S310, since the reachable charging stations are obtained based on the theoretical travel distance, after the correction travel distance is calculated, it is necessary to check these charging stations to ensure that the electric vehicle can travel to the charging stations.
In step S320, after deleting the charging station corresponding to the over-distance route, the relevant information of the charging station is not detected, that is, the charging station is not considered in the present charging plan.
It should be noted that, the charging stations on the over-distance route do not represent that the electric vehicle cannot reach under the current electric quantity, but only have the risk of being unreachable according to the current traffic state, and in order to ensure that the electric vehicle can be charged, the charging stations are excluded.
The charging stations are screened by correcting the driving distance, so that the charging stations which cannot be reached after the driving distance is corrected are eliminated, and the stability of charging planning is improved.
[ fifth embodiment ]
In a specific embodiment, determining whether the electric vehicle reaches the optional charging point according to the number of the first vehicle margin and the first driving route includes:
s510, acquiring an electric vehicle which goes to an optional charging point at the current time and marking the electric vehicle as a target vehicle;
s520, randomly selecting an empty space to reserve when the first vehicle margin-the number of target vehicles is larger than a first vehicle threshold value, and locking a charging gun of the empty space within target time;
s530, reminding a driver of the risk of being incapable of timely charging when the first vehicle position allowance is larger than the number of the target vehicles and the number of the target vehicles subtracted by the first vehicle position allowance is smaller than or equal to a first vehicle position threshold value.
In step S510, the target vehicle is an electric vehicle that uses the charging schedule to go to the selectable charging points at the same time, and when the target vehicle is acquired, it is necessary to acquire each selectable charging point, and count the number of target vehicles at each selectable charging point.
In step S520, the first vehicle position threshold is typically 3, when there are more remaining parking space margins in the selectable charging points and there are few target vehicles going to the selectable charging points, the system randomly selects one charging point from the plurality of charging points in the selectable charging points, locks the charging gun of the charging point, and then sends the locked parking space number and the unlocking code to the electric vehicle, and when the electric vehicle reaches the corresponding charging point, the unlocking of the charging gun is completed through the unlocking code.
In step S530, when the parking space remaining in the optional charging point is insufficient, a driver needs to be reminded, for example, the parking space remaining in the optional charging point is 10, the number of target vehicles is 8, if the number of remaining parking spaces is only 2 after all target vehicles reach the optional charging point, and is smaller than the first parking space threshold, if an unexpected situation occurs during driving, the driver may not be charged in time.
According to the first vehicle position allowance, the charging piles in the selectable charging points are locked, the reserved users can smoothly charge after reaching the selectable charging points, and the reservation function is ensured not to influence the electric vehicle to charge in advance due to the setting of the first vehicle position threshold.
[ sixth embodiment ]
In a specific embodiment, the screening of the selectable charging points according to the first driving route corresponding to the target charging point, and marking the selectable charging points passing through the first driving route as the selectable charging points specifically includes:
s521, after the target charging points are selected, calculating the distance from each selectable charging point to the first driving route to obtain a deviation distance;
s522, calculating a first distance threshold according to the traffic state and the road information, and selecting an alternative charging point according to the first distance threshold and the deviation distance;
And S523, marking the selectable charging point as an alternative charging point when the deviation distance is smaller than or equal to a first distance threshold value, and excluding the option of going to the selectable charging point when the deviation distance is larger than the first distance threshold value.
In step S521, after the target charging is selected, the electric vehicle travels according to the first travel route, and when the deviation distance is calculated, the shortest distance of other selectable charging points to the first travel route is calculated.
In step S522, the traffic state and the road information are obtained in the same manner as the calculation in step S232, which is not repeated herein, and a distance conversion coefficient is obtained through the traffic state and the road information, so that the user can preset the replacement distance of the charging plan, usually 2KM, and the first distance threshold is the product of the preset replacement distance and the distance conversion coefficient.
In step S523, when the deviation distance is smaller than the first distance threshold, it is indicated that the target charging point may be replaced with the optional charging point during the running process of the electric vehicle, so that the target charging point is marked as an alternative charging point, and if the deviation distance is too large, the electric vehicle is far away from the optional charging point, and the optional charging point is excluded in the present charging plan.
The calculation of the deviation distance can obtain the shortest distance of the electric vehicle to other optional charging points in the running process, the calculation of the first distance threshold value enables the judgment of the optional charging points to be more accurate, ensures that the schedule planning of the electric vehicle is more reasonable after the target charging points are replaced, enables the electric vehicle to have an optional charging scheme in the running process through the arrangement of the optional charging points, and enables the charging planning to be updated timely.
[ seventh embodiment ]
Referring to fig. 6, in a specific embodiment, acquiring, in real time, a second vehicle position margin in each alternative charging point, and when the electric vehicle travels along the first travel route, determining whether the target charging point meets the replacement condition according to the second vehicle position margin and the second travel route specifically includes:
s531, after the acquisition of the alternative charging points is completed, queuing the electric automobile on line at each alternative charging point;
s532, when no electric automobile enters after the second vehicle residual quantity in the alternative charging point passes the first target time, distributing the second vehicle residual quantity to the electric automobile queued on line;
s533, acquiring a third running route between the alternative charging point and the destination, calculating a time difference value between the third running route and the second running route of the electric automobile, and judging whether the target charging point meets the replacement condition according to the time difference value.
In step S531, after the target charging point is determined, all the candidate charging points are determined synchronously, the intermediate phase difference time is shorter, the distance between the candidate charging points is usually shorter than that between the target charging points, but because there is not enough charging potential in the candidate charging points, the vehicle does not go to the candidate charging points in the process of charging planning, but the number of parking spaces in the candidate charging points is continuously changed in the process of driving, and other electric vehicles except for electric vehicles directly entering the candidate charging points for charging can adopt an on-line queuing mode.
In step S532, when a new charging level occurs in the alternative charging point, in order to ensure the benefit of the electric vehicle entering the alternative charging point for charging, the electric vehicle queued on line is sent to the acquisition notification in order only if no electric vehicle enters after the first target time, which is typically 3 minutes, and may be adjusted according to the scale of the alternative charging point, and the electric vehicle queued on line needs to be confirmed within 1 minute after receiving the charging level acquisition notification, and if the electric vehicle does not go to the alternative charging point, the electric vehicle queued on line is continuously sent to the electric vehicle queued next.
In step S533, if the user does not input the destination, the third driving route does not exist, and only the difference between the remaining distance and the deviation distance of the first driving route is calculated, if the user inputs the destination, the time difference between the third driving route and the second driving route is calculated first, and then the remaining driving time of the first driving route and the time difference are combined to determine, so that the route planning for charging and reaching the destination is more reasonable, and the system can automatically switch the target charging point according to the determination result.
The setting of the first target time ensures that the second vehicle allowance cannot be monopoly by the electric vehicles which are queued on line, ensures the benefits of the electric vehicles which directly reach the alternative charging point to charge while ensuring that the electric vehicles can be queued on line, calculates the time difference value, ensures that the system can automatically judge whether to replace the target charging point, and ensures that the real-time charging method is more intelligent.
[ eighth embodiment ]
In a specific embodiment, determining whether the target charging point meets the replacement condition according to the time difference value specifically includes:
s533a, acquiring the remaining running time of the first running route, and recording the remaining running time as a first time result;
S533b, when the first time result is larger than the time difference value and the exceeding time is larger than or equal to a first time threshold value, replacing the target charging point with an alternative charging point; when the first time result is larger than the time difference value and the exceeding time is smaller than the first time threshold value, reminding the user that the target charging point can be manually replaced; when the first time result is smaller than or equal to the time difference value, the target charging point does not meet the replacement condition.
In step S533a, when the target charging point is replaced, the first travel route is not necessarily completed, and the remaining travel distance of the first travel route is determined, the remaining travel time is calculated according to the average travel speed to obtain a first time result, and the first time result is recorded as M 1 。
In step S533b, the time difference between the third driving route and the second driving route, representing the time difference between the electric vehicle reaching the destination after charging, is compared with the first time result to determine the specific time saved after the destination is replaced, and the time difference is M 2 A first time threshold value of M 3 When M 1 －M 2 ＞M 3 When the system directly replaces the target charging point with the alternative charging point, 0 < M 1 －M 2 ＜M 3 When the system reminds the user that the target charging point can be manually replaced, when M 1 －M 2 When the target charging point is less than 0, the replacement condition is not satisfied, and the first time threshold is usually 5 minutes.
The setting of the first time result enables the system to be compared with the first driving route when the target charging point is judged to be replaced, the replacement judgment of the target charging point is more accurate, the setting of the first time threshold enables the system to make different reactions according to different working conditions, and the charging method is more intelligent.
[ ninth embodiment ]
Referring to fig. 7, in a specific embodiment, the present invention further provides a smart charging station 100 for a shared electric vehicle, where the real-time charging method for a shared electric vehicle described in the above embodiment is applied to the smart charging station 100, and the smart charging station 100 includes: the information reading module 110 is used for reading charging information sent by the electric automobile; the information detection module 120, the information detection module 120 is configured to detect a first vehicle margin in the smart charging station 100; the information processing module 130, the information processing module 130 is configured to send the information of the second vehicle margin to the electric vehicle.
The intelligent charging station 100 of the electric vehicle has all the technical features of the real-time charging method of the electric vehicle, and will not be described herein.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention should be assessed accordingly to that of the appended claims.

Claims (6)

1. A real-time charging method for a shared electric vehicle, the charging method comprising:
acquiring the residual electric quantity and historical driving information of an electric automobile to obtain a theoretical driving distance, and acquiring a charging station which can be reached by the electric automobile according to the theoretical driving distance;
planning a first driving route of the electric vehicle according to the position of the charging station, acquiring a traffic state of the first driving route, and correcting the theoretical driving distance according to the traffic state and the historical driving information of the electric vehicle to obtain a corrected driving distance;
screening the charging stations according to the corrected driving distance to obtain selectable charging points;
inputting charging time of the electric automobile and a destination to which the electric automobile needs to go after charging is finished, and acquiring a first vehicle margin in the selectable charging point;
judging whether the electric automobile reaches the optional charging point or not according to the quantity of the first vehicle margin and the first driving route;
If yes, planning a second running route of the electric automobile according to the selectable charging points and the destination, selecting the selectable charging points according to the first running route and the second running route, and marking the selected selectable charging points as target charging points;
screening the selectable charging points according to the first driving route corresponding to the target charging point, and marking the selectable charging points passing through the first driving route as alternative charging points;
acquiring a second vehicle position allowance in each alternative charging point in real time, and judging whether the target charging point meets a replacement condition according to the second vehicle position allowance and the second driving route when the electric vehicle runs along the first driving route;
if the second vehicle margin meets the replacement condition, sending out a replacement reminding of the target charging point;
if the second vehicle position allowance cannot meet the replacement condition, the electric vehicle continues to run along the first running route;
the screening the selectable charging points according to the first driving route corresponding to the target charging point, and marking the selectable charging points passing through the first driving route as alternative charging points, specifically including:
When the target charging points are selected, calculating the distance from each selectable charging point to the first driving route to obtain a deviation distance;
calculating a first distance threshold according to the traffic state and the road information, and selecting the alternative charging point according to the first distance threshold and the deviation distance;
marking the selectable charging point as an alternative charging point when the deviation distance is less than or equal to the first distance threshold;
when the offset distance is greater than the first distance threshold, an option to the selectable charging point will be excluded;
the method for acquiring the second vehicle position allowance in each alternative charging point in real time includes the steps that when the electric vehicle runs along the first running route, whether the target charging point meets the replacement condition is judged according to the second vehicle position allowance and the second running route, and the method specifically includes the steps of:
after the acquisition of the alternative charging points is completed, queuing the electric automobile on line at each alternative charging point;
when the second vehicle margin in the alternative charging point still does not enter the electric vehicle after a second target time, distributing the second vehicle margin to the electric vehicle queued on line;
Acquiring a third driving route between the alternative charging point and the destination, and calculating a time difference value between the third driving route and the second driving route when the electric automobile drives;
judging whether the target charging point meets a replacement condition according to the time difference value;
judging whether the target charging point meets the replacement condition according to the time difference value specifically comprises:
acquiring the residual running time of the first running route and recording the residual running time as a first time result;
when the first time result is larger than the time difference value and the exceeding time is larger than or equal to a first time threshold value, replacing the target charging point with the alternative charging point;
when the first time result is larger than the time difference value and the exceeding time is smaller than a first time threshold value, reminding a user of manually replacing the target charging point;
and when the first time result is smaller than or equal to the time difference value, the target charging point does not meet the replacement condition.
2. The method for real-time charging of a shared electric vehicle according to claim 1, wherein the planning a first driving route of the electric vehicle according to the position of the charging station, and obtaining a traffic state of the first driving route, and correcting the theoretical driving distance according to the traffic state and the historical driving information of the electric vehicle, to obtain a corrected driving distance, specifically includes:
Acquiring a user image for driving the electric automobile, obtaining image information, and acquiring the vehicle driving habit of the user according to the image information;
predicting the average speed of the electric automobile on the first driving route according to the traffic state;
predicting the acceleration change state of the electric automobile on the first driving route according to the driving habit and the average speed, and obtaining correction parameters according to the acceleration change state;
and correcting the theoretical driving distance according to the correction parameters to obtain a corrected driving distance.
3. The method for charging the shared electric vehicle in real time according to claim 2, wherein the predicting the acceleration change state of the electric vehicle on the first driving route according to the driving habit and the average speed, and obtaining the correction parameter according to the acceleration change state, specifically comprises:
predicting the fastest running speed of the electric automobile on the first running route according to the driving habit;
acquiring road information and the number of intersections in the first driving route, and calculating obstacle parameters of the first driving route according to the road information and the number of intersections;
And predicting the acceleration change state according to the fastest running speed and the obstacle parameter.
4. The method for real-time charging of a shared electric vehicle according to claim 2, wherein the screening the charging station according to the corrected driving distance to obtain the selectable charging point specifically comprises:
comparing the corrected travel distance with a route length of the first travel route;
when the route length of the first driving route is larger than the corrected driving distance, marking the first driving route as an over-distance route, and deleting the charging station corresponding to the over-distance route;
when the route length of the first travel route is less than the corrected travel distance, the charging station is marked as an optional charging point.
5. The method for real-time charging a shared electric vehicle according to claim 4, wherein the determining whether the electric vehicle reaches the selectable charging point according to the number of the first vehicle margin and the first travel route includes:
acquiring the electric automobile which goes to the optional charging point at the current time and marking the electric automobile as a target vehicle;
When the first vehicle margin, the number of the target vehicles is larger than a first vehicle threshold, randomly selecting an empty vehicle for reservation, and locking a charging gun of the empty vehicle in a first target time;
and reminding a driver of the risk of being incapable of timely charging when the first vehicle position allowance is larger than the number of the target vehicles and the first vehicle position allowance minus the number of the target vehicles is smaller than or equal to a first vehicle position threshold value.
6. A smart charging station for a shared electric vehicle, wherein the real-time charging method for a shared electric vehicle according to any one of claims 1 to 5 is applied to the smart charging station, the smart charging station comprising:
the information reading module is used for reading charging information sent by the electric automobile;
an information detection module for detecting the first vehicle margin within the smart charging station;
and the information processing module is used for sending the information of the second vehicle position allowance to the electric automobile.
CN202311252985.2A 2023-09-27 2023-09-27 Real-time charging method for shared electric automobile and intelligent charging station Active CN117021986B (en)

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