CN115330286A - Charging pile power distribution scheduling method and system, electronic equipment and readable storage medium - Google Patents
Charging pile power distribution scheduling method and system, electronic equipment and readable storage medium Download PDFInfo
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- 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
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- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
Abstract
The invention provides a charging pile power distribution scheduling method and a system thereof, electronic equipment and a readable storage medium, wherein the charging pile power distribution scheduling method based on user portrait comprises the following steps: acquiring user portrait and vehicle information of a pure electric vehicle driven into a high-speed entrance; the vehicle information includes at least: the available driving mileage Sk, the required driving mileage Sx and the driving path; carrying out regional scene clustering analysis on the pure electric vehicle; if Sx is less than alpha Sk, the pure electric vehicle is judged to be a first-class vehicle, and if Sx is more than or equal to alpha Sk, the pure electric vehicle is judged to be a second-class vehicle; and the power distribution terminal controls the mobile charging pile to a corresponding charging station, and performs power distribution adjustment according to the dispatched mobile charging pile and the total number of the charging piles. According to the embodiment of the invention, the parameters are adjusted through the user portrait and the vehicle information, so that the probability of the charging station that the charging pile is vacant and the charging pile is queued is reduced.
Description
Technical Field
The invention relates to the technical field of power distribution scheduling, in particular to a charging pile power distribution scheduling method based on user portrait, a charging pile power distribution scheduling system based on user portrait, electronic equipment and a readable storage medium.
Background
With the continuous improvement of the pure electric vehicle and the strong support of the country, the effects of low transportation cost, energy conservation and the like of the pure electric vehicle are adapted to the current economic development trend of China, so that the pure electric vehicle is continuously popularized in China.
However, in the actual construction process, there is a problem that: the pure electric vehicle can continuously run only by adding fuel compared with the traditional vehicle, but the pure electric vehicle can continuously run only by charging, and the existing quick charging technology is still imperfect in charging, so that the situation that a large number of pure electric vehicles are queued for charging on days with large vehicle flow such as holidays is all the better.
Disclosure of Invention
Therefore, the charging pile power distribution scheduling method based on the user portrait adjusts parameters through the user portrait and the vehicle information, and accordingly reduces the probability of the charging pile being vacant and being queued for charging in the charging station.
In order to solve the problems, the invention provides a charging pile power distribution scheduling method based on user portrait, which comprises the following steps: acquiring user portrait and vehicle information of a pure electric vehicle driven into a high-speed entrance; the vehicle information includes at least: the driving mileage Sk, the required driving mileage Sx and the driving path; carrying out regional scene clustering analysis on the pure electric vehicle; if Sx is less than alpha Sk, the pure electric vehicle is judged to be a first-class vehicle, and if Sx is more than or equal to alpha Sk, the pure electric vehicle is judged to be a second-class vehicle; detecting the distance Sd between charging stations on the driving paths of the two types of vehicles, recording the charging station closest to the distance Sd by alpha Sk as the pre-charging potential of the pure electric vehicle, and sending the predicted arrival time T1 and the required charging time T2 to a power distribution terminal; when the number of the idle charging piles in the charging stations is smaller than the number of the second-class vehicles within the estimated arrival time T1, the power distribution terminal controls the mobile charging piles to the corresponding charging stations, and power distribution adjustment is carried out according to the dispatched mobile charging piles and the total number of the charging piles; where α is a coefficient and α is determined from the user representation.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the method comprises the steps of obtaining user figures and vehicle information of the pure electric vehicle driven into the high-speed entrance, carrying out regional scene clustering analysis on the pure electric vehicle, carrying out batch processing on the pure electric vehicle, calculating a predicted charging station which the pure electric vehicle can reach, and arranging charging piles in advance, so that the probability that the charging piles are empty and are arranged in a queue for charging is reduced, the service station congestion in high-flow time periods such as holidays is reduced, and the condition of road congestion is further caused.
In one example of the present invention, the method further comprises: when the distance Sd between the nearest charging stations on the driving paths of the two types of vehicles is larger than or equal to alpha Sk, the pure electric vehicle is intercepted at the high-speed entrance and is prompted to be charged.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: in order to prevent the pure electric vehicle from suddenly stopping due to the fact that no electric quantity exists when the pure electric vehicle is at a high speed and does not reach the charging stations, and therefore traffic jam and traffic accidents occur, the method and the device can intercept the pure electric vehicle at a high-speed entrance and prompt the pure electric vehicle to be charged when the distance Sd between the nearest charging stations on the driving paths of the two types of vehicles is larger than or equal to alpha Sk, and the pure electric vehicle is forbidden to drive into the high speed under the condition that the electric quantity is insufficient, and therefore the situations are prevented.
In one example of the invention, a user representation includes: driving habits, driving speed, vehicle type, battery condition, vehicle usage habits.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the driving habit, the driving speed, the vehicle type, the battery condition and the vehicle use habit of a driver all influence the use of the pure electric vehicle, so that the parameters are combined and interfered, the battery of the vehicle is calculated more accurately, and the condition of miscalculation is reduced.
In one example of the present invention, the method further comprises: adjusting the coefficient alpha through the external environment temperature specifically comprises: detecting an external ambient temperature Tw; if the external environment temperature Tw is greater than the first preset temperature T1, it is determined that the pure electric vehicle is in the heating air-conditioning mode, and at this time,
a1 is a coefficient, β is determined from the user representation; if the external environment temperature Tw is less than the second preset temperature T2, the pure electric vehicle is judged to start to be in the cooling and air-conditioning mode, at this time,
a2 is a coefficient; if the external environment temperature Tw is greater than or equal to the second preset temperature T2 and less than or equal to the first preset temperature T1, the pure electric steam is judgedThe vehicle is not in the air conditioning mode, and the alpha = beta.
Compared with the prior art, the technical scheme has the following technical effects: because the influence of the on-off of the vehicle-mounted air conditioner on the power consumption of the automobile is a great influence in the driving power utilization process, whether the air conditioner needs to be started or not is judged by detecting the external environment temperature Tw and comparing the external environment temperature Tw with the first preset temperature T1 and the second preset temperature T2, the electric energy consumed by the heating air-conditioning mode and the refrigerating air-conditioning mode is different, and the electric energy consumed by the heating air-conditioning mode and the refrigerating air-conditioning mode at different temperatures is also different, so that the coefficient alpha is further adjusted by the external environment temperature Tw, the first preset temperature T1 and the second preset temperature T2, and when the pure electric automobile is judged to be in the heating air-conditioning mode,
(ii) a When the external environment temperature Tw is less than the second preset temperature T2, the pure electric vehicle is judged to start to be in the cooling air-conditioning mode
When the external environment temperature Tw is greater than or equal to the second preset temperature T2 and less than or equal to the first preset temperature T1, it is determined that the pure electric vehicle is in the air-conditioning off mode, and at this time, α = β, so that a more accurate determination result is achieved.
In one example of the present invention, the method further comprises: when the pure electric vehicle is judged to be in the heating air-conditioning mode, the external environment humidity Hw is detected, if the external environment humidity Hw is greater than the first preset humidity H1,
，A 3 is a coefficient; if the external environment humidity Hw is less than the first preset humidity H1,
(ii) a When the pure electric vehicle is judged to be in the refrigeration air-conditioning mode, detecting the external environment humidity Hw, and if the external environment humidity Hw is less than or equal to the second preset humidity H2，
，A 4 Is a coefficient; if the external environment humidity Hw is greater than the second predetermined humidity H2,
。
compared with the prior art, the technical scheme has the following technical effects: multiple experiments prove that the electric energy consumed by the heating air-conditioning mode and the refrigerating air-conditioning mode under the environment conditions with different humidity is different, so that the external environment humidity Hw is compared with the first preset humidity H1 and the second preset humidity H2, if the external environment humidity Hw is greater than the first preset humidity H1,
(ii) a If the external environment humidity Hw is less than the first preset humidity H1,
(ii) a When the pure electric vehicle is judged to be in the cooling air-conditioning mode, the external environment humidity Hw is detected, if the external environment humidity Hw is less than or equal to the second preset humidity H2,
(ii) a If the external environment humidity Hw is greater than the second predetermined humidity H2,
thereby achieving a more accurate judgment result.
In one example of the present invention, the vehicle information further includes: the maximum driving mileage Smax; if Sx is larger than or equal to alpha (Sk + n Smax), judging the pure electric vehicle to be three types of vehicles; recording the rest charging stations as the pre-charging potential of the pure electric vehicle, and sending the predicted arrival time T1 and the required charging time T2 to the power distribution terminal; wherein n is an integer of 1 or more.
Compared with the prior art, the technical scheme has the following technical effects: through making statistics of the vehicles that need carry out a lot of charges in the stroke process to record into this pure electric vehicles's pre-charge potential through remaining charging station and will predict arrival time T1 and length of time T2 send to distribution terminal during required charging, thereby the overall arrangement of the charging station of being convenient for.
In one example of the present invention, the method further comprises: and when the sum of the number of the charging piles in the charging station and the number of the maximum containable mobile charging piles is less than the number of the second-class vehicles within the predicted arrival time T1, sending a charging station replacement notice or a high-speed advance notice to the pure electric vehicle which needs to arrive at the charging station for charging.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: when the traffic flow is large, the situation that the mobile charging piles are insufficient to be provided is caused, in order to prevent the situation that a large number of vehicles are crowded at the charging station due to accumulation, when the sum of the number of the charging piles in the charging station and the number of the maximum receivable mobile charging piles is smaller than the number of the second-class vehicles within the predicted arrival time T1, the charging station replacement notification or the high-speed notification is sent to the pure electric vehicle in advance, so that the situation is reduced or even avoided, and the traffic pressure is relieved.
On the other hand, the invention also provides a charging pile power distribution scheduling system based on the user portrait, which comprises: the acquisition module is used for acquiring a user portrait and vehicle information of the pure electric vehicle driven into the high-speed entrance; the vehicle information includes at least: the available driving mileage Sk, the required driving mileage Sx and the driving path; the analysis module is used for analyzing and clustering the regional scenes of the pure electric vehicle; the judging module is used for judging the relation between the driving mileage Sk and the required driving mileage Sx, if Sx is less than alpha Sk, the pure electric vehicle is judged to be a first-class vehicle, and if Sx is more than or equal to alpha Sk, the pure electric vehicle is judged to be a second-class vehicle; the detection module is used for detecting the distance Sd between the charging stations on the driving path of the two types of vehicles, marking the charging station with the distance Sd closest to alpha Sk as the pre-charging potential of the pure electric vehicle, and sending the pre-charging potential to the power distribution terminal; and when the quantity of the idle charging piles in the charging stations is smaller than the quantity of the second-class vehicles marked as the pre-charging potentials, the power distribution terminal controls the mobile charging piles to move to the corresponding charging stations, and power distribution adjustment is performed according to the dispatched mobile charging piles and the total number of the charging piles.
The obtaining module, the analyzing module, the judging module, the detecting module and the control module in the charging pile power distribution scheduling system based on the user profile in the embodiment are used for implementing the charging pile power distribution scheduling method based on the user profile in a matching manner as in the first embodiment, so that the charging pile power distribution scheduling method based on the user profile in any embodiment of the invention has all beneficial effects, and is not repeated herein.
In another aspect, the present invention also provides an electronic device, including: the charging pile power distribution scheduling method based on the user portrait comprises a packaging IC and a memory electrically connected with the packaging IC, wherein the memory stores a computer program, and when the computer program is read and run by the packaging IC, the electronic equipment realizes the charging pile power distribution scheduling method based on the user portrait.
The packaged IC of the electronic device and the memory electrically connected to the packaged IC in this embodiment include the charging pile power distribution scheduling method based on the user profile according to any one of the embodiments described above, so that the charging pile power distribution scheduling method based on the user profile according to any one of the embodiments described above has all the advantages, and details are not repeated herein.
In still another aspect, the present invention further provides a readable storage medium, where the readable storage medium includes a stored electronic device program, where the electronic device program, when executed by a processor, controls a device in which the storage medium is located to perform the steps of the charging pile power distribution scheduling method based on user profile according to any one of the above embodiments.
The readable storage medium in this embodiment includes a stored electronic device program, and the electronic device program is executed by the processor to control the charging pile power distribution scheduling method based on the user profile according to any one of the above embodiments, so that the charging pile power distribution scheduling method based on the user profile according to any one of the above embodiments has all the advantages, and details are not described herein.
After the technical scheme of the invention is adopted, the following technical effects can be achieved:
(1) Through obtaining user portrait and vehicle information of the pure electric vehicles that the high-speed entrance drives in and carrying out regional scene cluster analysis to pure electric vehicles, and with pure electric vehicles batch processing, through calculating the predicted charging station that it can arrive, fill laying of electric pile in advance to reduce the probability that empty charging pile appears in the charging station and queue up and charge.
Drawings
In order to more clearly illustrate 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 below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a flowchart of a charging pile power distribution scheduling method based on a user profile according to a first embodiment of the present invention;
fig. 2 is a schematic block diagram of a charging pile power distribution dispatching system 100 based on a user profile according to a second embodiment of the present invention;
fig. 3 is a block diagram of an electronic device 200 according to a third embodiment of the invention;
fig. 4 is a schematic structural diagram of a readable storage medium 300 according to a fourth embodiment of the present invention.
Description of reference numerals:
100 is a charging pile power distribution dispatching system based on user portrait; 110 is an acquisition module; 120 is an analysis module; 130 is a judging module; 140 is a detection module; 150 is a control module; 200 is an electronic device; 210 is a memory; 211 is a computer program; 220 is a processor; 300 is a readable storage medium; 310 are computer-executable instructions.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
[ first embodiment ] A method for manufacturing a semiconductor device
Referring to fig. 1, a flowchart of a charging pile power distribution scheduling method based on a user profile according to a first embodiment of the present invention is shown. The charging pile power distribution scheduling method based on the user portrait comprises the following steps:
step S10: acquiring user portrait and vehicle information of a pure electric vehicle driven into a high-speed entrance; the vehicle information includes at least: the available driving mileage Sk, the required driving mileage Sx and the driving path;
step S20: carrying out regional scene clustering analysis on the pure electric vehicle;
step S30: if Sx is less than alpha Sk, the pure electric vehicle is judged to be a first-class vehicle, and if Sx is more than or equal to alpha Sk, the pure electric vehicle is judged to be a second-class vehicle;
step S40: detecting the distance Sd between charging stations on the driving paths of the two types of vehicles, recording the charging station closest to the distance Sd by alpha Sk as the pre-charging potential of the pure electric vehicle, and sending the predicted arrival time T1 and the required charging time T2 to a power distribution terminal;
step S50, when the number of the idle charging piles in the charging stations is smaller than the number of the second-class vehicles within the predicted arrival time T1, the power distribution terminal controls the mobile charging piles to the corresponding charging stations, and power distribution adjustment is carried out according to the dispatched mobile charging piles and the total number of the charging piles;
here, α is a coefficient, and α is determined from the user image.
For example, by obtaining a user figure and vehicle information of a pure electric vehicle driven into a high-speed entrance, performing regional scene clustering analysis on the pure electric vehicle, performing batch processing on the pure electric vehicle, and calculating a predicted charging station where the pure electric vehicle can arrive, arranging charging piles in advance, the probability that the charging stations are empty and charged in a queue is reduced, and the situations that service stations are crowded in high-traffic time periods such as holidays and the like and further roads are crowded are reduced.
Further, the charging pile power distribution scheduling method based on the user portrait further comprises the following steps: when the distance Sd between the nearest charging stations on the driving paths of the two types of vehicles is larger than or equal to alpha Sk, the pure electric vehicles are intercepted at the high-speed entrance and are prompted to be charged.
For example, in order to prevent the pure electric vehicle from being suddenly stopped due to no electric quantity when the pure electric vehicle at a high speed does not reach a charging station, so that traffic jam, traffic accidents and the like occur, the pure electric vehicle is intercepted at a high-speed entrance and is prompted to be charged when the distance Sd between the nearest charging stations on the driving paths of the two types of vehicles is larger than or equal to alpha Sk, and the pure electric vehicle is prohibited from driving at a high speed when the electric quantity is insufficient, so that the situations are prevented.
Specifically, the user representation includes: driving habits, driving speed, vehicle type, battery condition, vehicle usage habits.
For example, the driving habit, the driving speed, the vehicle type, the battery condition and the vehicle use habit of a driver all affect the use of the pure electric vehicle, so the parameters are combined and interfered, the battery of the vehicle is calculated more accurately, and the condition of miscalculation is reduced.
Further, the charging pile power distribution scheduling method based on the user portrait further comprises the following steps: adjusting the coefficient alpha through the external environment temperature specifically comprises: detecting an external ambient temperature Tw; if the external environment temperature Tw is greater than the first preset temperature T1, it is determined that the pure electric vehicle is in the heating air-conditioning mode, and at this time,
a1 is a coefficient, β is determined from the user representation; if the external environment temperature Tw is less than the second preset temperature T2, the pure electric vehicle is judged to start to be in the cooling and air-conditioning mode, at this time,
a2 is a coefficient; if the outer ringWhen the ambient temperature Tw is greater than or equal to the second preset temperature T2 and less than or equal to the first preset temperature T1, it is determined that the pure electric vehicle is in the air-conditioning mode, where α = β.
For example, since the influence of the on-off of the vehicle-mounted air conditioner on the power consumption of the vehicle is a large influence in the power consumption process of the vehicle, the present application determines whether the air conditioner needs to be turned on by detecting the external ambient temperature Tw and comparing the external ambient temperature Tw with the first preset temperature T1 and the second preset temperature T2, and the power consumption of the heating air-conditioning mode and the cooling air-conditioning mode is different at different temperatures, so that the present application further adjusts the coefficient α by the external ambient temperature Tw, the first preset temperature T1 and the second preset temperature T2, and determines that the pure electric vehicle is in the heating air-conditioning mode,
(ii) a When the external environment temperature Tw is less than the second preset temperature T2, the pure electric vehicle is judged to start to be in the cooling air-conditioning mode
When the external environment temperature Tw is greater than or equal to the second preset temperature T2 and less than or equal to the first preset temperature T1, it is determined that the pure electric vehicle is in the air-conditioning off mode, and at this time, α = β, so that a more accurate determination result is achieved.
Preferably, the charging pile power distribution scheduling method based on the user profile further includes: when the pure electric vehicle is judged to be in the heating air-conditioning mode, the external environment humidity Hw is detected, if the external environment humidity Hw is greater than the first preset humidity H1,
，A 3 is a coefficient; if the external environment humidity Hw is less than the first preset humidity H1,
(ii) a When the pure electric vehicle is judged to be in the refrigeration air-conditioning mode, detection is carried outThe external environment humidity Hw, if the external environment humidity Hw is less than or equal to the second predetermined humidity H2,
，A 4 is a coefficient; if the external environment humidity Hw is greater than the second predetermined humidity H2,
。
for example, multiple experiments prove that the electric energy consumed by the heating air-conditioning mode and the cooling air-conditioning mode under the environment conditions with different humidity is different, so that by comparing the external environment humidity Hw with the first preset humidity H1 and the second preset humidity H2, if the external environment humidity Hw is greater than the first preset humidity H1,
(ii) a If the external environment humidity Hw is less than the first predetermined humidity H1,
(ii) a When the pure electric vehicle is judged to be in the cooling air-conditioning mode, the external environment humidity Hw is detected, if the external environment humidity Hw is less than or equal to the second preset humidity H2,
(ii) a If the external environment humidity Hw is greater than the second predetermined humidity H2,
thereby achieving a more accurate judgment result.
Further, the clustering analysis of the area scene specifically includes: and acquiring weather information, and adjusting the coefficient alpha according to the weather information.
Specifically, the vehicle information further includes: a maximum driving mileage Smax; if Sx is larger than or equal to alpha (Sk + n Smax), judging the pure electric vehicle to be three types of vehicles; recording the rest charging stations as the pre-charging potential of the pure electric vehicle, and sending the estimated arrival time T1 and the required charging time T2 to a power distribution terminal; wherein n is an integer of 1 or more.
For example, vehicles needing to be charged for multiple times in the process of a journey are counted, the remaining charging stations are recorded as the pre-charging potential of the pure electric vehicle, and the estimated arrival time T1 and the required charging time T2 are sent to the power distribution terminal, so that overall arrangement of the charging stations is facilitated.
Further, the charging pile power distribution scheduling method based on the user portrait further comprises the following steps: and when the sum of the number of the charging piles in the charging station and the number of the maximum containable mobile charging piles is less than the number of the second-class vehicles within the estimated arrival time T1, sending a charging station replacement notice or a high-speed advance notice to the pure electric vehicle needing to arrive at the charging station for charging.
For example, when the traffic flow is large, the mobile charging piles are not enough to be provided, and in order to prevent the situation that the charging stations are crowded due to the fact that a large number of vehicles are piled up in the charging stations, when the sum of the number of the charging piles in the charging stations and the number of the maximum containable mobile charging piles is smaller than the number of the two types of vehicles within the predicted arrival time T1, the charging station replacement notification or the high-speed notification is sent to the pure electric vehicles in advance, so that the situation is reduced or even avoided, and the traffic pressure is relieved.
[ second embodiment ]
Referring to fig. 2, an embodiment of the present invention further provides a charging pile power distribution scheduling system 100 based on a user profile, for example, including: the acquisition module 110 is used for acquiring a user portrait and vehicle information of a pure electric vehicle driven at a high-speed entrance; the vehicle information includes at least: the driving mileage Sk, the required driving mileage Sx and the driving path; the analysis module 120 is configured to analyze regional scene clustering on the pure electric vehicle; the judging module 130 is configured to judge a relationship between the available driving range Sk and the required driving range Sx, judge that the pure electric vehicle is a first-class vehicle if Sx is less than α Sk, and judge that the pure electric vehicle is a second-class vehicle if Sx is greater than or equal to α Sk; the detection module 140 is configured to detect a distance Sd between charging stations on a traveling path of the second type of vehicle, mark a charging station closest to α × Sk by the distance Sd as a pre-charging potential of the pure electric vehicle, and send the pre-charging potential to a power distribution terminal; and the control module 150 controls the mobile charging pile to the corresponding charging station when the number of the idle charging piles in the charging station is less than the number of the second-class vehicles marked as the pre-charging potential, and performs power distribution adjustment according to the dispatched mobile charging piles and the total number of the charging piles.
In a specific embodiment, the obtaining module 110, the analyzing module 120, the judging module 130, the detecting module 140, and the controlling module 150 of the charging pile power distribution scheduling system 100 based on the user profile cooperate to implement the charging pile power distribution scheduling method based on the user profile according to the first embodiment, which is not described herein again.
[ third embodiment ] A
Referring to fig. 3, which is a schematic structural diagram of an electronic device according to a third embodiment of the present invention, the electronic device 200 includes, for example, a processor 220 and a memory 210 electrically connected to the processor 220, the memory 210 stores a computer program 211, and the processor 220 loads the computer program 211 to implement the charging pile power distribution scheduling method based on the user profile according to the first embodiment.
The packaged IC in this embodiment may be, for example: a processor chip electrically connected to the computer readable storage medium to read and execute the computer program. The packaged IC may also be a packaged circuit board, said circuit board packaged with a processor chip that can read and execute said computer program; of course, the circuit board may also encapsulate a computer readable storage medium.
The processor chip may further include the charging pile power distribution scheduling system 100 based on the user profile according to the second embodiment, and the processor chip may implement the charging pile power distribution scheduling method based on the user profile according to the first embodiment through the charging pile power distribution scheduling system 100 based on the user profile, which is not described herein again.
[ fourth example ] A
Referring to fig. 4, the present embodiment further provides a readable storage medium 300, where the readable storage medium 300 stores computer-executable instructions 310, and when the computer-executable instructions 310 are read and executed by a processor, the electronic device in which the readable storage medium 300 is located is controlled to implement the charging pile power distribution scheduling method based on the user profile as described in the first embodiment.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned readable storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A charging pile power distribution scheduling method based on user portrait is characterized by comprising the following steps:
acquiring user portrait and vehicle information of a pure electric vehicle driven into a high-speed entrance; the vehicle information includes at least: the available driving mileage Sk, the required driving mileage Sx and the driving path;
performing regional scene clustering analysis on the pure electric vehicle;
if Sx is less than alpha Sk, the pure electric vehicle is judged to be a first-class vehicle, and if Sx is more than or equal to alpha Sk, the pure electric vehicle is judged to be a second-class vehicle;
detecting the distance Sd between charging stations on the driving paths of the two types of vehicles, recording the charging station with the distance Sd closest to alpha Sk as the pre-charging potential of the pure electric vehicle, and sending the estimated arrival time T1 and the required charging time T2 to a power distribution terminal;
when the number of the idle charging piles in the charging stations is smaller than the number of the second-class vehicles within the estimated arrival time T1, the power distribution terminal controls the mobile charging piles to the corresponding charging stations, and power distribution adjustment is carried out according to the dispatched mobile charging piles and the total number of the charging piles;
where α is a coefficient and α is determined from the user representation.
2. The user profile-based charging pile power distribution scheduling method according to claim 1, further comprising:
and when the distance Sd between the nearest charging stations on the driving paths of the two types of vehicles is more than or equal to alpha Sk, the pure electric vehicle is intercepted at the high-speed entrance and is prompted to be charged.
3. The user profile-based charging pile power distribution scheduling method of claim 1,
the user representation includes: driving habits, driving speed, vehicle type, battery condition, vehicle usage habits.
4. The user portrait based charging pile power distribution scheduling method of claim 1, further comprising: adjusting the coefficient alpha through the external environment temperature specifically comprises:
detecting an external environment temperature Tw;
if the external environment temperature Tw is greater than a first preset temperature T1, the pure electric vehicle is judged to be in a heating air-conditioning mode, at this time,
，A 1 β is determined from the user representation as a coefficient;
if the external environment temperature Tw is less than a second preset temperature T2, the pure electric vehicle is judged to start a refrigeration and air-conditioning mode, at this time,
，A 2 is a coefficient;
if the external environment temperature Tw is greater than or equal to a second preset temperature T2 and less than or equal to the first preset temperature T1, it is determined that the pure electric vehicle is in the air-conditioning off mode, where α = β.
5. The user profile-based charging pile power distribution scheduling method according to claim 4, further comprising:
when the pure electric vehicle is judged to be in a heating air-conditioning mode, detecting external environment humidity Hw, if the external environment humidity Hw is greater than a first preset humidity H1,
，A 3 is a coefficient; if the external environment humidity Hw is less than the first preset humidity H1,
；
when the pure electric vehicle is judged to be in the refrigeration air-conditioning mode, detecting the external environmentA humidity Hw, when the external environment humidity Hw is less than or equal to a second preset humidity H2,
，A 4 is a coefficient; if the external ambient humidity Hw is greater than the second predetermined humidity H2,
。
6. the user profile-based charging pile power distribution scheduling method of claim 1,
the vehicle information further includes: a maximum driving mileage Smax;
if Sx is larger than or equal to alpha (Sk + n Smax), judging the pure electric vehicle to be three types of vehicles; recording the rest charging stations as the pre-charging potential of the pure electric vehicle, and sending the estimated arrival time T1 and the required charging time T2 to the power distribution terminal;
wherein n is an integer of 1 or more.
7. The user profile-based charging pile power distribution scheduling method according to claim 6, further comprising:
and when the sum of the number of the charging piles in the charging station and the maximum number of the movable charging piles capable of being accommodated is less than the number of the two types of vehicles within the estimated arrival time T1, sending a charging station replacement notice or a high-speed driving-out notice in advance to the pure electric vehicle which needs to arrive at the charging station for charging.
8. The utility model provides a fill electric pile power distribution dispatch system based on user portrait, its characterized in that includes:
the acquisition module is used for acquiring user portrait and vehicle information of the pure electric vehicle driven at the high-speed entrance; the vehicle information includes at least: the available driving mileage Sk, the required driving mileage Sx and the driving path;
the analysis module is used for analyzing and clustering the regional scenes of the pure electric vehicle;
the judging module is used for judging the relation between the driving mileage Sk and the required driving mileage Sx, if Sx is smaller than alpha Sk, the pure electric vehicle is judged to be a first-class vehicle, and if Sx is larger than or equal to alpha Sk, the pure electric vehicle is judged to be a second-class vehicle;
the detection module is used for detecting the distance Sd between the charging stations on the driving paths of the two types of vehicles, recording the charging station closest to the distance Sd by alpha Sk as the pre-charging potential of the pure electric vehicle, and sending the pre-charging potential to the power distribution terminal;
and when the number of the idle charging piles in the charging stations is smaller than the number of the second-class vehicles marked as pre-charging potentials, the power distribution terminal controls the mobile charging piles to the corresponding charging stations, and power distribution adjustment is performed according to the dispatched mobile charging piles and the total number of the charging piles.
9. An electronic device, comprising: a packaged IC and a memory electrically connected to the packaged IC, the memory storing a computer program, the computer program being read by the packaged IC and executed by the electronic device, the electronic device implementing the user profile-based charging pile power distribution scheduling method according to any one of claims 1-7.
10. A readable storage medium, comprising a stored electronic device program, wherein when the electronic device program is executed by a processor, the electronic device program controls a device on which the storage medium is located to perform the steps of the charging pile power distribution scheduling method based on user profile according to any one of claims 1-7.
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