CN114312434B - Management method, device, equipment and storage medium for electric automobile charging - Google Patents
Management method, device, equipment and storage medium for electric automobile charging Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
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Abstract
The application relates to a management method, a device, equipment and a storage medium for charging an electric automobile, wherein the method comprises the following steps: receiving a charging request sent by a vehicle owner terminal; calculating the maximum charging time length and the minimum charging time length; the predicted charging electricity price of each preset time period is adjusted out; if the charging residence time length is longer than the minimum charging time length, sequentially selecting a time period with the lowest predicted charging electricity price from the time periods; sending a maximum power charging instruction to the target charging pile at the starting time of each selected time period, so that the charging pile charges the automobile with maximum power until the charging quantity reaches the planned charging quantity; and if the charging residence time is smaller than the minimum charging time, sending a maximum power charging instruction to the target charging pile until the actual charging residence time reaches the charging residence time. The application has the technical effects that: the charging process is reasonable and convenient, and meanwhile, the charging cost is saved.
Description
Technical Field
The present application relates to the field of electric vehicle charging technologies, and in particular, to a method, an apparatus, a device, and a storage medium for managing electric vehicle charging.
Background
Currently, an electric vehicle (BEV) is a vehicle that uses a vehicle-mounted power supply as power and uses a motor to drive wheels to run, and meets various requirements of road traffic and safety regulations. The composition of the composite material comprises: an electric drive and control system, a mechanical system such as a driving force transmission system, a working device for completing a given task, and the like. The environmental impact is smaller than that of the traditional automobile, and the prospect is widely seen. The working principle of the electric automobile is as follows: battery-current-power regulator-motor-power transmission system-driving car to run.
The charging station is an infrastructure for electric automobile charging, contains a plurality of charging stake in the charging station, fills the output of charging stake and is the rifle that charges. The car owner stops the car in the parking stall that fills electric pile corresponds, then fills the charging gun and peg graft the mouth that charges of car, can begin to charge to electric automobile. The charging electricity prices of the charging stations are different at different moments, the charging cost of the vehicle owners can be greatly reduced during the period of low prices, and if the vehicle owners have larger vehicle volumes, the time for the vehicles to stay in the charging stations is limited. When the vehicle type is large so that the charge amount is large, the power of the charging pile is large, when the vehicle type is small, the charge amount is small, the power of the charging pile is reduced, and therefore the power of the charging pile can fluctuate within a certain range.
In carrying out the present application, the inventors consider that there are at least the following problems in this technology: after the car owner stops at a certain charging station for charging, when the car owner needs to charge to an expected charging amount in a certain time and the charging cost is low, the car owner needs to calculate a charging time period according to the price fluctuation experience of the current charging station and the current charging power, and timely switch a charging gun according to the calculated time period so as to charge at a low price, so that the charging process is troublesome.
Disclosure of Invention
In order to solve the problem that the charging process is troublesome, the application provides a management method, a device, equipment and a storage medium for electric automobile charging.
In a first aspect, the present application provides a method for managing charging of an electric vehicle, which adopts the following technical scheme:
Receiving a charging request sent by a vehicle owner terminal, wherein the charging request comprises an identity mark of a target charging pile, a charging residence time, a charging start time and a planned charging amount;
Acquiring a preset charging power range corresponding to the target charging pile, and calculating a maximum charging duration and a minimum charging duration according to the maximum charging power, the minimum charging power and the planned charging amount of the target charging pile;
obtaining charging ending time according to the charging starting time and the charging residence time, and calling out the predicted charging electricity price of a charging station corresponding to the target charging pile from the charging starting time to the charging ending time in an electricity price database in each preset time period;
If the charging residence time length is longer than the minimum charging time length, sequentially selecting a time period with the lowest predicted charging electricity price from the time periods;
Sending a maximum power charging instruction to the target charging pile at the starting time of each selected time period, so that the charging pile charges the automobile with maximum power until the charging quantity reaches the planned charging quantity;
And if the charging residence time is smaller than the minimum charging time, sending a maximum power charging instruction to the target charging pile until the actual charging residence time reaches the charging residence time.
Through adopting above-mentioned technical scheme, the car owner inserts the rifle that charges in the mouth that charges to after sending the request that charges through car owner terminal, the backstage can be according to the charging request and the charging power scope that the target fills the stake and correspond, according to car owner's the charging dwell time at the stake that charges, confirm by oneself and can fill the scheme that expects electric quantity and price is minimum, and according to the scheme automatic control fills the stake of determining, thereby realize the automatic management to filling the stake. When the charging of the car owner is realized, the charging scheme can be determined and the charging pile can be controlled by only inputting the charging request, so that the possibility that the car owner needs to autonomously calculate and manually switch the charging gun is reduced, and the charging process of the car owner is more convenient and labor-saving.
Optionally, the method further comprises:
Acquiring a target time period and historical charging electricity prices of a preset number of time periods after the target time period in preset days;
Respectively calculating the average value of the historical charging electricity prices of each time period in a preset day;
taking the calculated average value as a predicted charging electricity price for each time period;
and storing the obtained predicted charging electricity price and the time period into an electricity price database in an associated manner.
By adopting the technical scheme, when the background predicts the charging electricity price, the next time period of unknown charging electricity price is taken as the target time period, and the charging electricity prices of a plurality of time periods after the target time period are predicted at the same time, and the background averages the plurality of historical charging electricity prices of each time period, so that the predicted charging electricity price of each time period is obtained.
Optionally, after storing the obtained predicted charging electricity price and the time period in the electricity price database, the method further comprises:
receiving an actual charging electricity price corresponding to a target time period sent when the charging pile reaches the target time period;
Calculating the electricity price difference obtained by subtracting the predicted charging electricity price from the actual charging electricity price;
and if the absolute value of the electricity price difference is larger than a preset difference threshold value, adding the electricity price difference to the predicted charging electricity price of each time period after the target time period.
By adopting the technical scheme, after the time reaches the target time period, the actual charging electricity price of the target time period is known, the background compares the predicted charging electricity price of the target time period with the actual charging electricity price to determine the prediction accuracy, if the difference between the two electricity price values is larger, the power station is proved to possibly improve or reduce the electricity price compared with the prior art, and after the background calculates the average value, the electricity price difference is added, so that the prediction method of the electricity price and the predicted charging electricity price are automatically refreshed, and the prediction accuracy is improved.
Optionally, after the acquiring the target time period and the historical charging electricity prices of the preset number of time periods within the preset days after the target time period, the method further includes:
Acquiring historical grid electricity prices of each time period in the preset days;
Taking the power grid electricity price of the previous day corresponding to each time period as a reference power grid electricity price;
The calculating the average value of the historical charging electricity prices in the preset days in each time period respectively comprises the following steps:
Selecting a corresponding historical power grid price from the historical charging power prices, wherein the historical charging power price is when the corresponding historical power grid price is consistent with the reference power grid price;
And calculating the average value of all the selected historical charging electricity prices corresponding to each time period.
By adopting the technical scheme, when the price of the power grid fluctuates, the price of the charging station usually fluctuates. The background can automatically select the historical charging electricity price when the electricity price of the power grid is the same as the reference electricity price of the power grid, and calculate the predicted charging electricity price through the selected historical charging electricity price, so that the accuracy and the relevance of the historical electricity price of the power grid used in calculation to the predicted electricity price of the power grid are improved, and the accuracy of electricity price prediction is improved.
Optionally, after the grid electricity price of the previous day corresponding to each time period is taken as the reference grid electricity price, the method further includes:
Acquiring an actual power grid power price and a reference power grid power price corresponding to a previous time period of the target time period;
Calculating the difference value of the acquired actual power grid electricity price from the reference power grid electricity price;
And adjusting the reference grid electricity price corresponding to each time period according to the calculated difference value.
By adopting the technical scheme, the background calculates the difference value between the reference power grid electricity price and the actual power grid electricity price of the current power grid in a time period before the target time period to predict whether the current power grid has price change, and adjusts the reference power grid electricity price of each time period in the current day in real time through the price change, so that the reference power grid electricity price which is more accurate for electricity price prediction is obtained, the real-time adjustment of the reference power grid electricity price is realized, and the accuracy of electricity price prediction is further improved.
Optionally, after the charging end time is obtained according to the charging start time and the charging residence time, the method further includes:
inquiring a charging record of the day before the charging station in a preset charging record database;
counting the number of vehicles starting to charge and the number of vehicles ending to charge from the charge starting time to the charge ending time in the charge record;
If the number of vehicles starting to charge is greater than the number of vehicles ending to charge, judging whether the charging residence time is greater than the maximum charging time;
If yes, a modified stay time suggestion is sent to the vehicle owner terminal, wherein the modified stay time suggestion comprises the maximum charging time and suggested content.
Through adopting above-mentioned technical scheme, when charging peak period, if the car owner fills in the parking stall of electric pile after having charged for a long time, lead to filling electric pile and be taken up by ineffectively, can in time find idle electric pile and cause the influence to other car owners that need to charge urgently, also can cause the influence to the income of power station simultaneously. The background can automatically confirm whether the time period of charging of the car owner is likely to be a peak period, if so, the car owner is reminded to modify the stay time of the car in the parking space to the longest charging time so as to be beneficial to timely releasing the charging pile after charging, and therefore the car needing charging urgently can conveniently find an idle charging pile in time.
Optionally, the determining whether the charging residence time period is greater than the maximum charging time period includes:
Calculating a difference value between the number of vehicles starting to charge and the number of vehicles ending to charge, and if the difference value is larger than a preset difference value threshold, sending a modified stay time suggestion to the vehicle owner terminal when the charging time length is larger than the minimum charging time length, wherein the modified stay time suggestion comprises the minimum charging time length and suggested contents;
If the difference value is smaller than a preset difference value threshold value, judging whether the charging residence time is longer than the maximum charging time.
Through adopting above-mentioned technical scheme, in the time quantum that the backstage judgement car owner charged, when the power station can a large amount of newly increased vehicles that need charge, the backstage reminds the car owner to revise the stay time at the parking stall, revises to minimum charge time, helps realizing that the vehicle charges the cycle faster when the peak period, in time gives up the parking stall of charging for subsequent vehicle.
In a second aspect, the present application provides a management device for charging an electric vehicle, which adopts the following technical scheme: the information receiving module is used for receiving a charging request sent by the vehicle owner terminal, wherein the charging request comprises an identity mark of a target charging pile, a charging residence time, a charging starting time and a planned charging amount;
The information calculation module is used for acquiring a preset charging power range corresponding to the target charging pile and calculating a maximum charging duration and a minimum charging duration according to the maximum charging power, the minimum charging power and the planned charging amount of the target charging pile;
The information calling module is used for obtaining the charging ending time according to the charging starting time and the charging residence time, calling out the charging station corresponding to the target charging pile from the charging starting time to the charging ending time in the electricity price database, and predicting the charging electricity price of each preset time period;
the information selecting module is used for sequentially selecting a time period with the lowest predicted charging electricity price from the time periods if the charging stay time is longer than the minimum charging time;
The information sending module is used for sending a maximum power charging instruction to the target charging pile at the selected starting time of each time period, so that the charging pile charges the automobile with maximum power until the charging quantity reaches the planned charging quantity;
And the instruction sending module is used for sending a maximum power charging instruction to the target charging pile if the charging residence time is smaller than the minimum charging time until the actual charging residence time reaches the charging residence time.
Through adopting above-mentioned technical scheme, the car owner inserts the rifle that charges in the mouth that charges to after sending the request that charges through car owner terminal, the backstage can be according to the charging request and the charging power scope that the target fills the stake and correspond, according to car owner's the charging dwell time at the stake that charges, confirm by oneself and can fill the scheme that expects electric quantity and price is minimum, and according to the scheme automatic control fills the stake of determining, thereby realize the automatic management to filling the stake. When the charging of the car owner is realized, the charging scheme can be determined and the charging pile can be controlled by only inputting the charging request, so that the possibility that the car owner needs to autonomously calculate and manually switch the charging gun is reduced, and the charging process of the car owner is more convenient and labor-saving.
In a third aspect, the present application provides a computer device, which adopts the following technical scheme: the system comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and execute any management method for electric automobile charging.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical solutions: a computer program capable of being loaded by a processor and executing any one of the management methods for electric vehicle charging described above is stored.
In summary, the present application includes at least one of the following beneficial technical effects:
1. After the charging gun is inserted into the charging port by the vehicle owner and a charging request is sent by the vehicle owner terminal, the background can automatically determine the scheme which can be charged to the expected electric quantity and has the lowest price according to the charging residence time of the vehicle owner at the charging pile according to the charging request and the charging power range corresponding to the target charging pile, and automatically control the charging pile according to the determined scheme, so that the automatic management of the charging pile is realized. When a vehicle owner charges, a charging scheme can be determined and a charging pile is controlled by only inputting a charging request, so that the possibility that the vehicle owner needs to autonomously calculate and manually switch a charging gun is reduced, and the charging process of the vehicle owner is more convenient and labor-saving;
2. when the time reaches the target time period, the actual charging electricity price of the target time period is known, the background compares the predicted charging electricity price of the target time period with the actual charging electricity price to determine the prediction accuracy, if the difference between the two electricity price values is large, the power station is indicated to possibly increase or decrease the electricity price compared with the prior art, and after the background calculates the average value, the electricity price difference is added, so that the prediction method of the electricity price and the predicted charging electricity price are automatically refreshed, and the prediction accuracy is improved.
Drawings
Fig. 1 is a flowchart of a method for managing electric vehicle charging according to an embodiment of the present application.
Fig. 2 is a flowchart of a method for managing electric vehicle charging according to still another embodiment of the present application.
Fig. 3 is a block diagram of a management device for electric vehicle charging according to an embodiment of the present application.
Fig. 4 is a block diagram of a management device for electric vehicle charging according to an embodiment of the present application.
Fig. 5 is a block diagram of a management apparatus for electric vehicle charging according to an embodiment of the present application.
Reference numerals illustrate: 30. an information receiving module; 31. an information calculation module; 32. an information calling module; 33. an information selection module; 34. an information transmitting module; 35. an instruction sending module; 40. an electricity price prediction module; 41. a data storage module; 50. an information inquiry module; 51. and a data statistics module.
Detailed Description
The application discloses a management method for electric automobile charging. The method is based on a vehicle owner terminal, a background and charging piles, and a plurality of charging piles form a charging station. The vehicle owner terminal can carry out signal transmission with the backstage, the charging pile can send information to the backstage, the backstage can send instructions to the charging pile, the charging pile executes the instructions sent by the backstage, and the backstage can be a server. When the car owner charges, information is sent to the background through the car owner terminal, and the background sends an instruction to the charging pile according to the information sent by the car owner and the information provided by the charging pile, so that the charging pile executes the instruction.
In one embodiment, as shown in fig. 1, there is provided a management method for electric vehicle charging, the method comprising the steps of:
s10, receiving a charging request sent by a vehicle owner terminal.
Specifically, after a charging gun is inserted into a charging port by a vehicle owner, or when the vehicle owner parks the vehicle in a parking space of a target charging pile, the vehicle owner sends a charging request to the background through the vehicle owner terminal, wherein the charging request comprises an identity mark of the target charging pile, a charging stay time, a charging start time and a planned charging amount. The identity mark is the unique identification information of each charging pile, and the identification information of each charging pile can be indicated on the charging pile, and can also be automatically sent to the vehicle owner after the vehicle owner inserts the charging pile into the charging port. The vehicle owner terminal can be a smart phone or a vehicle-mounted smart device. The target charging pile can be any charging pile.
S11, acquiring a preset charging power range corresponding to the charging pile.
Specifically, the background inquires the charging power range of the charging pile used by the vehicle owner in a preset charging pile database according to the identity of the target charging pile.
S12, calculating and obtaining the maximum charging duration and the minimum charging duration.
Specifically, the planned charge amount is divided by the maximum power to obtain the minimum charge period, and the planned charge amount is divided by the minimum charge power to obtain the maximum charge period.
And S13, calling out the predicted charging electricity price corresponding to the target charging pile from the electricity price database.
Specifically, the background calculates the charging end time according to the charging start time and the charging residence time, and then the charging station corresponding to the target charging pile is called out from the electricity price database to the charging end time from the charging start time, and the predicted charging electricity price of each preset time period is obtained. For example, the time length of each time period may be half an hour, and the time period may be 12:00 to 12:30. the time period is preset by a worker, and if the charging start time falls within a certain time period, the charging start time is the starting time of the time period; if the charging end time falls within a certain period of time, the charging end time is taken as the end time of the period of time. The predicted charge price of electricity for each time period is retrieved from a preset price database, and the predicted charge price of electricity is stored in the price database in advance.
And S14, formulating a charging scheme according to the charging residence time, the minimum charging time and the maximum charging time.
Specifically, if the charging stay time is longer than the minimum charging time, sequentially selecting a time period with the lowest predicted charging electricity price from the charging start time to the charging end time, and sending a maximum power charging instruction to the charging pile by the background at the starting time of the selected time period, so that the charging pile charges the automobile with the maximum power, and sending a charging suspension instruction to the charging pile when the time period is ended, so that the charging pile suspends charging, and waiting for the next selected charging period until the charging quantity reaches the planned charging quantity. So that the vehicle owner charges the minimum amount of money for a certain period of time and charges the electric quantity to the planned charge quantity. If the selected time period has adjacent time periods, the background does not send a charging suspension instruction to the charging pile when the previous time period is over. If the charging residence time is less than or equal to the minimum charging time, the background sends a maximum power charging instruction to the charging pile, so that the charging pile directly charges the automobile with maximum power until the charging residence time reaches the residence time, and the automobile owner can charge the maximum electric quantity as much as possible in the same time.
In another embodiment, considering the situation that the background needs to predict the electricity price in advance, the management method for charging the electric automobile further includes the following steps:
s20, acquiring historical charging electricity prices within preset days.
Specifically, the historical charging electricity prices for the target period and a preset number of periods after the target period are acquired within a preset number of days. The target time period is the next time period to the current time period, and the preset number may be twelve, i.e., six hours in the future. The preset number of days may be 30 days or 60 days. The background calls out the historical charging electricity price of each time period in a preset day in a preset electricity price database.
S21, calculating the predicted charge electricity price of each time period.
Specifically, the background calculates the average of all the historical charging prices taken out corresponding to each time period, respectively, and takes the calculated average as the predicted charging price for each time period.
And S23, storing the obtained predicted charging electricity price and the time period into an electricity price database in a correlated manner.
Specifically, the predicted charging electricity price is stored in the electricity price database, and when the predicted charging electricity price corresponding to the target charging pile is called out from the electricity price database in the background, the predicted charging electricity price can be directly called out.
In yet another embodiment, in consideration of the situation that the predicted value and the actual value are separated by a large distance due to temporary adjustment of the electricity price of the power station, and the prediction of the electricity price is inaccurate, when the time reaches the target time period, the background receives the actual charging electricity price corresponding to the target time period sent by the charging pile, subtracts the predicted charging electricity price from the actual charging electricity price to obtain the electricity price difference, if the absolute value of the electricity price difference is greater than the preset difference threshold, the predicted electricity price corresponding to each time period after the target time period is added with the electricity price difference, so that the refresh of the corresponding predicted electricity price is completed, and if the length of the time period is half an hour, the refresh of the predicted electricity price is performed every half an hour, so that when the electricity price is temporarily adjusted by the power station, the predicted charging electricity price can be adjusted in time according to the adjustment of the power station, and the prediction is more accurate.
In yet another embodiment, considering that the power station may be affected by the grid electricity price when making an actual charging electricity price, after obtaining the historical charging electricity prices of the target time period and the preset number of time periods within the preset days after the target time period, the background obtains the historical grid electricity price of each time period within the preset days from the electricity price database, takes the grid electricity price of the previous day corresponding to each time period as a reference grid electricity price, then selects the historical charging electricity price corresponding to the historical grid electricity price and consistent with the reference grid electricity price from the historical charging electricity prices, calculates the average value of the selected historical charging electricity prices of each time period, and takes the calculated average value as a predicted charging electricity price. For example, the previous day 10:00-10: the power grid electricity price in the 30-time period is 1.1 yuan/kilowatt-hour, the preset days are 30 days, and the power grid electricity price in the 30 days is 1.1 yuan/kilowatt-hour and the time period is 10:00-10:30, and taking the average of all the selected historical charging electricity prices to obtain 10:00-10: predicted charge electricity prices for 30 time periods. The background calls out the corresponding historical charging electricity price which is the same as the reference grid electricity price, so that the historical charging electricity price for predicting the electricity price is more accurate, and the possibility of inaccurate prediction caused by fluctuation of the electricity price is reduced.
In yet another embodiment, in consideration of the situation that the grid electricity rate may be temporarily adjusted, after taking the grid electricity rate of the previous day corresponding to each time period as the reference grid electricity rate, the background acquires the actual grid electricity rate corresponding to the time period before the target time period and the reference grid electricity rate, calculates the difference between the acquired actual grid electricity rate and the reference grid electricity rate to determine whether the grid electricity rate is temporarily adjusted, and increases or decreases the reference grid electricity rate corresponding to each time period according to the calculated difference. Therefore, the refreshing of the reference power grid electricity price is completed, temporary adjustment of the power grid electricity price is reduced, the reference power grid electricity price is inaccurate, and the possibility of inaccurate prediction of the power price is caused.
In one embodiment, considering the situation that during the charging peak period, the vehicle owner who has charged occupies the parking space of the charging pile too long, so that the vehicle which needs to be charged suddenly is difficult to find the idle charging pile, after the background obtains the charging end time according to the charging start time and the charging residence time, the background searches a charging record of the day before the charging station corresponding to the target charging pile in a preset charging record database, and counts the number of vehicles which start to charge and the number of vehicles which end to charge from the charging start time to the charging end time in the charging record. Judging whether the counted number of vehicles starting to charge is larger than the number of vehicles ending to charge, if so, judging whether the charging residence time of the vehicle owner terminal is larger than the maximum charging time, and if so, sending a residence time modification suggestion to the vehicle owner terminal, wherein the residence time modification suggestion comprises the maximum charging time and suggestion content; if the charging residence time of the vehicle owner terminal is not greater than the maximum charging time, the residence time modification suggestion is not sent. If the number of vehicles starting charging is not greater than the number of vehicles ending charging, it is indicated that there are more vehicles leaving the charging station, fewer people entering the charging station, or as many vehicles leaving as there are vehicles entering, and the electricity price is continuously predicted. Therefore, the method is beneficial to reminding a vehicle owner of modifying the stay time of a parking space to the longest charging time during peak hours, so that the charging pile can be released in time after charging is finished, and an automobile needing charging urgently can find an idle charging pile in time.
In one embodiment, considering the situation that a charging pile is extremely short, after the background judges that the number of vehicles which start charging is larger than the number of vehicles which finish charging, calculating the difference value of the number of vehicles which start charging from the number of vehicles which finish charging, if the calculated difference value is larger than a preset difference value, indicating that a large number of vehicles enter a charging station, judging whether the charging residence time is larger than the minimum charging time by the background, if so, sending a recommendation of modifying the charging time to a vehicle owner, wherein the recommendation of modifying the charging time comprises the minimum charging time and recommended content; otherwise, the electricity price is continuously predicted. If the calculated difference is not greater than a preset difference threshold, judging whether the charging residence time is greater than the maximum charging time, if so, sending a residence time modification suggestion to the vehicle owner terminal, wherein the residence time modification suggestion comprises the maximum charging time and suggestion content; otherwise, no modified stay length advice is sent. The difference threshold is preset by a worker according to the number of electric piles of the charging station. The vehicle charging system is beneficial to realizing faster charging period of the vehicle in peak period and timely giving up a charged parking space for the following vehicle.
According to the management method for charging of the electric automobile, the background can automatically predict the charging electricity price and refresh and self-correct at certain intervals, so that the accurate predicted charging electricity price is obtained. The background can automatically generate a scheme which is charged to the expected electric quantity in a certain time and has the lowest price for the vehicle owner according to the predicted charging electricity price, and the charging pile is controlled according to the generated scheme, so that the charging process of the vehicle owner is more convenient and labor-saving. The background can automatically judge whether the time period of charging of the vehicle owner is a peak period, if the time period is the peak period and the time period of the vehicle owner planning to stay in the charging station is too long, the background can automatically suggest the vehicle owner to reduce the time of stay in the charging station after the charging is finished.
In one embodiment, as shown in fig. 3, there is provided a management device for electric vehicle charging, the device comprising:
The information receiving module 30 is configured to receive a charging request sent by a vehicle owner terminal, where the charging request includes an identity of a target charging pile, a charging residence time, a charging start time and a planned charging amount;
The information calculating module 31 is configured to obtain a preset charging power range corresponding to the target charging pile, and calculate a maximum charging duration and a minimum charging duration according to the maximum charging power, the minimum charging power and the planned charging amount of the target charging pile;
The information retrieving module 32 is configured to obtain a charging end time according to the charging start time and the charging residence time, and retrieve, from a power price database, a predicted charging power price for each preset time period from the charging start time to the charging end time of a charging station corresponding to the target charging pile;
The information selecting module 33 is configured to sequentially select a time period with the lowest predicted charge electricity price from the time periods if the charge residence time length is greater than the minimum charge time length;
The information sending module 34 is configured to send a maximum power charging instruction to the target charging pile at the selected starting time of each time period, so that the charging pile charges the vehicle with maximum power until the charging amount reaches the planned charging amount;
and the instruction sending module 35 is configured to send a maximum power charging instruction to the target charging pile if the charging residence time is less than the minimum charging time, until the actual charging time reaches the charging residence time.
In yet another embodiment, the information retrieving module 32 is further configured to obtain the target time period and the historical charging electricity prices of the preset number of time periods within the preset days after the target time period;
The information calculating module 31 is further configured to calculate an average value of historical charging electricity prices in a preset number of days in each time period;
As shown in fig. 4, a management device for charging an electric automobile further includes:
A power rate prediction module 40 for taking the calculated average value as a predicted charging power rate for each time period;
The data storage module 41 is used for storing the obtained predicted charging electricity price and the time period into the electricity price database.
In yet another embodiment, the information receiving module 30 is further configured to receive an actual charging electricity price corresponding to the target time period sent when the charging pile reaches the target time period;
The information calculating module 31 is further configured to calculate a power price difference obtained by subtracting the predicted charging power price from the actual charging power price;
the information calculating module 31 is further configured to add the predicted charge price of each time period after the target time period to the price difference if the absolute value of the price difference is greater than a preset price difference threshold.
In yet another embodiment, the information selecting module 33 is further configured to obtain a historical grid electricity price of each time period within the preset number of days;
the electricity price prediction module 40 is further configured to use the electricity price of the power grid of the previous day corresponding to each time period as a reference electricity price of the power grid;
the information calculation module 31 is specifically configured to select, from the historical charging electricity prices, a historical charging electricity price when the corresponding historical grid price is consistent with the reference grid electricity price;
The information calculating module 31 is specifically configured to calculate an average value of all the selected historical charging electricity prices corresponding to each time period.
In yet another embodiment, the information retrieving module 32 is further configured to obtain an actual power grid price and a reference power grid price corresponding to a time period previous to the target time period;
the information calculating module 31 is further configured to calculate a difference value of the obtained actual grid electricity price from the reference grid electricity price;
The instruction sending module 35 is further configured to adjust the reference grid electricity price corresponding to each time period according to the calculated difference value.
In yet another embodiment, as shown in fig. 5, a management device for charging an electric automobile further includes:
The information inquiry module 50 is configured to inquire a charging record of a day before the charging station in a preset charging record database;
An information statistics module 51, configured to count, in the charging record, the number of vehicles that start charging and the number of vehicles that end charging from the charging start time to the charging end time;
The information calculating module 31 is further configured to determine whether the charging residence time period is greater than the maximum charging time period if the number of vehicles that begin to charge is greater than the number of vehicles that end to charge;
The information sending module 34 is further configured to send, if yes, a modified stay time suggestion to the vehicle owner terminal, where the modified stay time suggestion includes a maximum charging time and a suggestion content.
In yet another embodiment, the information calculating module 31 is specifically configured to:
For calculating a difference between the number of vehicles that start charging and the number of vehicles that end charging;
If the difference is larger than a preset difference threshold, when the charging time length is larger than the minimum charging time length, a modified stay time length suggestion is sent to the vehicle owner terminal, wherein the modified stay time length suggestion comprises the minimum charging time length and suggestion content;
If the difference value is smaller than a preset difference value threshold value, judging whether the charging residence time is longer than the maximum charging time.
In one embodiment, a computer device is provided.
Specifically, the computer device includes a memory and a processor, and the memory stores thereon a computer program that can be loaded by the processor and execute the above-described management method for electric vehicle charging.
In one embodiment, a computer-readable storage medium is provided.
Specifically, the computer-readable storage medium storing a computer program that can be loaded by a processor and that executes the management method for electric vehicle charging as described above, includes, for example: a usb disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RandomAccessMemory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The present embodiment is only for explanation of the present invention and is not to be construed as limiting the present invention, and modifications to the present embodiment, which may not creatively contribute to the present invention as required by those skilled in the art after reading the present specification, are all protected by patent laws within the scope of claims of the present invention.
Claims (8)
1. A method of managing charging for an electric vehicle, the method comprising:
Receiving a charging request sent by a vehicle owner terminal, wherein the charging request comprises an identity mark of a target charging pile, a charging residence time, a charging start time and a planned charging amount;
Acquiring a preset charging power range corresponding to the target charging pile, and calculating a maximum charging duration and a minimum charging duration according to the maximum charging power, the minimum charging power and the planned charging amount of the target charging pile;
obtaining charging ending time according to the charging starting time and the charging residence time, and calling out the predicted charging electricity price of a charging station corresponding to the target charging pile from the charging starting time to the charging ending time in an electricity price database in each preset time period;
inquiring a charging record of the day before the charging station in a preset charging record database;
counting the number of vehicles starting to charge and the number of vehicles ending to charge from the charging start time to the charging end time in the charging record;
if the number of vehicles starting to charge is larger than the number of vehicles ending to charge, calculating a difference value between the number of vehicles starting to charge and the number of vehicles ending to charge;
If the difference is larger than a preset difference threshold, when the charging time length is larger than the minimum charging time length, a modified stay time length suggestion is sent to the vehicle owner terminal, wherein the modified stay time length suggestion comprises the minimum charging time length and suggestion content;
if the difference value is smaller than a preset difference value threshold value, judging whether the charging residence time is longer than the maximum charging time;
if the charging time length is smaller than the minimum charging time length, a modified stay time length suggestion is sent to the vehicle owner terminal, wherein the modified stay time length suggestion comprises a maximum charging time length and suggestion content;
If the charging residence time length is longer than the minimum charging time length, sequentially selecting a time period with the lowest predicted charging electricity price from the time periods;
Sending a maximum power charging instruction to the target charging pile at the starting time of each selected time period, so that the charging pile charges the automobile with maximum power until the charging quantity reaches the planned charging quantity;
And if the charging residence time is smaller than the minimum charging time, sending a maximum power charging instruction to the target charging pile until the actual charging residence time reaches the charging residence time.
2. The method according to claim 1, wherein the method further comprises:
Acquiring a target time period and historical charging electricity prices of a preset number of time periods after the target time period in preset days;
Respectively calculating the average value of the historical charging electricity prices of each time period in a preset day;
taking the calculated average value as a predicted charging electricity price for each time period;
and storing the obtained predicted charging electricity price and the time period into an electricity price database in an associated manner.
3. The method of claim 2, wherein storing the resulting predicted charge price in association with the time period in a price database further comprises:
receiving an actual charging electricity price corresponding to a target time period sent when the charging pile reaches the target time period;
Calculating the electricity price difference obtained by subtracting the predicted charging electricity price from the actual charging electricity price;
and if the absolute value of the electricity price difference is larger than a preset difference threshold value, adding the electricity price difference to the predicted charging electricity price of each time period after the target time period.
4. The method of claim 2, further comprising, after the acquiring the target time period and the historical charge price for the preset number of time periods within a preset number of days after the target time period:
Acquiring historical grid electricity prices of each time period in the preset days;
Taking the power grid electricity price of the previous day corresponding to each time period as a reference power grid electricity price;
The calculating the average value of the historical charging electricity prices in the preset days in each time period respectively comprises the following steps:
Selecting a corresponding historical power grid price from the historical charging power prices, wherein the historical charging power price is when the corresponding historical power grid price is consistent with the reference power grid price;
And calculating the average value of all the selected historical charging electricity prices corresponding to each time period.
5. The method according to claim 4, further comprising, after said taking the grid electricity price of the previous day corresponding to each time period as a reference grid electricity price:
Acquiring an actual power grid power price and a reference power grid power price corresponding to a previous time period of the target time period;
Calculating the difference value of the acquired actual power grid electricity price from the reference power grid electricity price;
And adjusting the reference grid electricity price corresponding to each time period according to the calculated difference value.
6. A management device for electric vehicle charging, the device comprising:
The information receiving module (30) is used for receiving a charging request sent by the vehicle owner terminal, wherein the charging request comprises an identity mark of a target charging pile, a charging residence time, a charging starting time and a planned charging amount;
The information calculation module (31) is used for acquiring a preset charging power range corresponding to the target charging pile and calculating a maximum charging duration and a minimum charging duration according to the maximum charging power, the minimum charging power and the planned charging quantity of the target charging pile; the charging record database is also used for inquiring the charging record of the day before the charging station in a preset charging record database;
counting the number of vehicles starting to charge and the number of vehicles ending to charge from the charging start time to the charging end time in the charging record;
if the number of vehicles starting to charge is larger than the number of vehicles ending to charge, calculating a difference value between the number of vehicles starting to charge and the number of vehicles ending to charge;
the information calling module (32) is used for obtaining the charging ending time according to the charging starting time and the charging residence time, calling out the predicted charging electricity price of each preset time period from the charging starting time to the charging ending time of the charging station corresponding to the target charging pile in the electricity price database;
the information selection module (33) is used for sequentially selecting a time period with the lowest predicted charging electricity price from the time periods if the charging stay time is longer than the minimum charging time;
An information sending module (34) for sending a maximum power charging instruction to the target charging pile at the selected starting time of each time period, so that the charging pile charges the automobile with maximum power until the charging quantity reaches the planned charging quantity; if the difference is greater than a preset difference threshold, when the charging time length is greater than the minimum charging time length, a modified stay time length suggestion is sent to the vehicle owner terminal, wherein the modified stay time length suggestion comprises a minimum charging time length and suggestion content;
if the difference value is smaller than a preset difference value threshold value, judging whether the charging residence time is longer than the maximum charging time;
if the charging time length is smaller than the minimum charging time length, a modified stay time length suggestion is sent to the vehicle owner terminal, wherein the modified stay time length suggestion comprises a maximum charging time length and suggestion content;
and the instruction sending module (35) is used for sending a maximum power charging instruction to the target charging pile if the charging residence time is smaller than the minimum charging time until the actual charging residence time reaches the charging residence time.
7. A computer device comprising a memory and a processor, the memory having stored thereon a computer program capable of being loaded by the processor and performing the method according to any of claims 1 to 5.
8. A computer readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the method according to any one of claims 1 to 5.
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| CN115195516B (en) * | 2022-09-19 | 2022-12-09 | 国网浙江省电力有限公司宁波供电公司 | Electric vehicle charging system and method, electronic equipment and storage medium |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110126665A (en) * | 2019-05-31 | 2019-08-16 | 上海电享信息科技有限公司 | A kind of intelligent charging spot is avoided the peak hour charging method and intelligent charging spot system |
| CN111993946A (en) * | 2020-10-28 | 2020-11-27 | 中国测试技术研究院电子研究所 | Detection method and detection system for alternating current-direct current charging pile of electric automobile |
| CN112311056A (en) * | 2020-10-26 | 2021-02-02 | 广东润建电力科技有限公司 | Charging control method based on real-time electricity price, intelligent socket and charging pile |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110126665A (en) * | 2019-05-31 | 2019-08-16 | 上海电享信息科技有限公司 | A kind of intelligent charging spot is avoided the peak hour charging method and intelligent charging spot system |
| CN112311056A (en) * | 2020-10-26 | 2021-02-02 | 广东润建电力科技有限公司 | Charging control method based on real-time electricity price, intelligent socket and charging pile |
| CN111993946A (en) * | 2020-10-28 | 2020-11-27 | 中国测试技术研究院电子研究所 | Detection method and detection system for alternating current-direct current charging pile of electric automobile |
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