CN114312434A - Management method, device and equipment for electric vehicle charging and storage medium - Google Patents
Management method, device and equipment for electric vehicle charging and storage medium 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
Abstract
The application relates to a management method, a device, equipment and a storage medium for electric vehicle charging, wherein the method comprises the following steps: receiving a charging request sent by a vehicle owner terminal; calculating the maximum charging time and the minimum charging time; calling out the predicted charging price of each preset time period; if the charging stay time is longer than the minimum charging time, sequentially selecting the time periods with the lowest predicted charging electricity price from the time periods; 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 at the maximum power until the charging amount reaches the planned charging amount; and if the charging stay time is less than the minimum charging stay time, sending a maximum power charging instruction to the target charging pile until the actual charging stay time reaches the charging stay 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 management method, an apparatus, a device, and a storage medium for electric vehicle charging.
Background
At present, an electric vehicle (BEV) is a vehicle which 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 comprises: an electric drive and control system, a mechanical system such as a drive transmission, a working device for performing a predetermined task, and the like. Because the influence on the environment is smaller than that of the traditional automobile, the prospect is widely seen. The working principle of the electric automobile is as follows: the accumulator-current-power regulator-motor-power transmission system-drive automobile.
The charging station is for the infrastructure that electric automobile charges, contains a plurality of electric pile that fill in the charging station, and the output that fills electric pile is the rifle that charges. The car owner stops the car in filling the parking stall that electric pile corresponds, then charges the rifle and inserts the mouth that charges that inserts the car, can begin to charge to electric automobile. The charging price of the charging station is different at different moments, the charging cost of the vehicle owner can be greatly reduced by charging in the low-price valley period, and the time for the vehicle to stay in the charging station is limited if the vehicle consumption of the vehicle owner is large. When the car motorcycle type is great so that the charge capacity is great, it is great to fill electric pile's power, and when the car motorcycle type is less, when the charge capacity is less, it can reduce to fill electric pile's power, therefore fills electric pile's power and can fluctuate in the certain limit.
In the course of implementing the present application, the inventors consider that there are at least the following problems in this technique: after the vehicle owner stops at a certain charging station for charging, when the vehicle owner needs to charge to the expected charging amount within a certain time and the charging cost is low, the vehicle owner needs to calculate the charging time period by himself or herself according to the price fluctuation experience of the current charging station and the current charging power, and timely switch on and off the charging gun according to the calculated time period, so that the charging is started at the price valley, and 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 charging an electric vehicle.
In a first aspect, the present application provides a management method for electric vehicle charging, which adopts the following technical scheme:
receiving a charging request sent by a vehicle owner terminal, wherein the charging request comprises an identity of a target charging pile, charging stay time, charging start time and planned charging amount;
acquiring a preset charging power range corresponding to the target charging pile, and calculating to obtain a maximum charging time and a minimum charging time according to the maximum charging power, the minimum charging power and the planned charging amount of the target charging pile;
obtaining charging end time according to the charging start time and the charging stay time, and calling the charging start time to the charging end time of a charging station corresponding to the target charging pile and the predicted charging electricity price of each preset time period from the charging start time to the charging end time in an electricity price database;
if the charging stay time is longer than the minimum charging time, sequentially selecting the time periods with the lowest predicted charging electricity price from the time periods;
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 at the maximum power until the charging amount reaches the planned charging amount;
and if the charging stay time is less than the minimum charging stay time, sending a maximum power charging instruction to the target charging pile until the actual charging stay time reaches the charging stay time.
Through adopting above-mentioned technical scheme, the car owner will charge the rifle and insert in the mouth that charges to after sending the request of charging through car owner terminal, the backstage can fill the power range that charges that electric pile corresponds according to the request of charging and target, according to the car owner is in the dwell time that charges of filling electric pile, determines by oneself and can fill the scheme that expected electric quantity and price are minimum, and fills electric pile according to the scheme automatic control who determines, thereby realizes the automatic management to filling electric pile. When the vehicle owner charges, the background can determine the charging scheme and control the charging pile only by inputting the charging request, so that the possibility that the vehicle owner needs to independently calculate and manually switch the charging gun is reduced, and the charging process of the vehicle owner is more convenient and labor-saving.
Optionally, the method further includes:
acquiring a target time period and historical charging electricity prices of a preset number of time periods after the target time period within preset days;
respectively calculating the average value of the historical charging electricity prices of each time period in preset days;
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 a correlation mode.
By adopting the technical scheme, when the background predicts the charging electricity price, the time period of the next unknown charging electricity price is taken as the target time period, 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 a 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 the storing the obtained predicted charging electricity price in association with the time period into the electricity price database, the method further includes:
receiving actual charging electricity prices corresponding to the target time periods sent when the charging piles reach the target time periods;
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, 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 values is large, the power station possibly improves or reduces the electricity price compared with the prior power station, and the background adds the electricity price difference after calculating the average value, so that the electricity price prediction method and the predicted charging electricity price are automatically refreshed, and the prediction accuracy is improved.
Optionally, after obtaining the target time period and the historical charging electricity prices of the preset number of time periods within the preset number of days after the target time period, the method further includes:
acquiring the historical power grid electricity price of each time period in the preset number of 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 of each time period in the preset number of days respectively comprises the following steps:
selecting historical charging electricity prices when the corresponding historical power grid prices are consistent with the reference power grid electricity prices from the historical charging electricity prices;
and calculating the average value of all 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 generally fluctuates along with the fluctuation. The background can automatically select the historical charging electricity price when the electricity price of the power grid is the same as that of the reference electricity grid, and the selected historical charging electricity price is used for calculating and predicting the charging electricity price, so that the accuracy and relevance of the historical electricity price used in calculation aiming at 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 a reference grid electricity price, the method further includes:
acquiring an actual power grid electricity price and a reference power grid electricity price corresponding to a previous time period of the target time period;
calculating the difference value between the obtained actual power grid electricity price and the reference power grid electricity price;
and adjusting the electricity price of the reference power grid corresponding to each time period according to the calculated difference.
By adopting the technical scheme, the background predicts whether the price of the power grid on the same day changes by calculating the difference value between the reference power grid electricity price and the actual power grid electricity price in a time period before the target time period, and adjusts the reference power grid electricity price in each time period on the same day in real time through price change, so that the reference power grid electricity price which is more accurate in electricity price prediction can be obtained, real-time adjustment of the reference power grid electricity price is realized, and the accuracy of electricity price prediction is further improved.
Optionally, after obtaining the charging end time according to the charging start time and the charging dwell time, the method further includes:
inquiring the charging record of the previous day of the charging station in a preset charging record database;
counting the number of vehicles starting to be charged and the number of vehicles finishing to be charged from the charging start time to the charging end time in the charging record;
if the number of the vehicles starting to charge is larger than that of the vehicles finishing charging, judging whether the charging stay time is larger than the maximum charging time;
and if so, sending a modification stay time suggestion to the owner terminal, wherein the modification stay time suggestion comprises the maximum charging time and suggestion content.
Through adopting above-mentioned technical scheme, when the peak period that charges, if the car owner has filled the electricity after for a long time to stay in filling the parking stall of electric pile, lead to filling electric pile and being taken up by invalid, can in time find free electric pile of filling and cause the influence to other car owners that need to charge urgently, also can cause the influence to the income in power station simultaneously. Whether the time quantum that the car owner charges is probably the rush hour can be confirmed automatically to the backstage, if, then remind the car owner to modify and to the length of stay in the parking stall, modify to the length of time that charges longest to in time will fill electric pile release after helping filling the electricity, thereby the car that conveniently urgently needs to charge in time finds the idle electric pile that fills.
Optionally, the determining whether the charging staying time is longer than the maximum charging time includes:
calculating a difference value between the number of the vehicles starting to be charged and the number of the vehicles finishing to be charged, if the difference value is greater than a preset difference value threshold value, sending a modification stay time suggestion to the owner terminal when the charging time is greater than the minimum charging time, wherein the modification stay time suggestion comprises the minimum charging time and suggestion content;
and if the difference is smaller than a preset difference threshold, judging whether the charging stay time is longer than the maximum charging time.
By adopting the technical scheme, when the power station can newly add a large number of vehicles needing to be charged in the time period for judging the charging of the vehicle owner at the background, the background reminds the vehicle owner to modify the stay time of the parking space and modify the stay time to the minimum charging time, so that the realization of the faster charging cycle of the vehicle in the peak period is facilitated, and the charged parking space is made for the subsequent vehicles in time.
In a second aspect, the present application provides a management device for charging an electric vehicle, which adopts the following technical solutions: the charging system comprises an information receiving module, a charging management module and a charging management module, wherein the information receiving module is used for receiving a charging request sent by a vehicle owner terminal, and the charging request comprises an identity of a target charging pile, charging stay time, charging start time and planned charging amount;
the information calculation module is used for acquiring a preset charging power range corresponding to the target charging pile, and calculating the maximum charging time and the minimum charging time 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 charging ending time according to the charging starting time and the charging staying time, and calling 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 from the electricity price database;
the information selection module is used for sequentially selecting the time periods 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 starting time of each selected time period, so that the charging pile charges the automobile at the maximum power until the charging amount reaches the planned charging amount;
and the instruction sending module is used for sending a maximum power charging instruction to the target charging pile if the charging stay time is less than the minimum charging stay time until the actual charging stay time reaches the charging stay time.
Through adopting above-mentioned technical scheme, the car owner will charge the rifle and insert in the mouth that charges to after sending the request of charging through car owner terminal, the backstage can fill the power range that charges that electric pile corresponds according to the request of charging and target, according to the car owner is in the dwell time that charges of filling electric pile, determines by oneself and can fill the scheme that expected electric quantity and price are minimum, and fills electric pile according to the scheme automatic control who determines, thereby realizes the automatic management to filling electric pile. When the vehicle owner charges, the background can determine the charging scheme and control the charging pile only by inputting the charging request, so that the possibility that the vehicle owner needs to independently calculate and manually switch the charging gun is reduced, and the charging process of the vehicle owner is more convenient and labor-saving.
In a third aspect, the present application provides a computer device, which adopts the following technical solution: the system comprises a memory and a processor, wherein the memory is used for storing a computer program which can be loaded by the processor and can execute any one of the management methods for the charging of the electric automobile.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions: a computer program is stored which can be loaded by a processor and which implements any of the above-described management methods for electric vehicle charging.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the car owner inserts the rifle that charges in the mouth that charges to after sending the request of charging through car owner terminal, the backstage can fill the power range that charges that electric pile corresponds according to the request of charging and target, according to the car owner at the dwell time that charges of filling electric pile, determines by oneself and can fill the scheme that anticipated electric quantity and price are minimum, and fill electric pile according to the scheme automatic control who determines, thereby realize the automatic management to filling electric pile. When the vehicle owner charges, the background can determine the charging scheme and control the charging pile only by inputting a charging request, so that the possibility that the vehicle owner needs to calculate autonomously and switch the charging gun manually 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 values is large, the power station possibly improves or reduces the electricity price compared with the past, and after the background calculates the average value, the electricity price difference is added, so that the electricity price prediction method and the predicted charging electricity price are automatically refreshed, and the prediction accuracy is improved.
Drawings
Fig. 1 is a flowchart of a management method for electric vehicle charging according to an embodiment of the present application.
Fig. 2 is a flowchart of a management method for electric vehicle charging according to 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 device for electric vehicle charging according to an embodiment of the present application.
Description of reference numerals: 30. an information receiving module; 31. an information calculation module; 32. an information retrieval module; 33. an information selection module; 34. an information sending module; 35. an instruction sending module; 40. an electricity price prediction module; 41. a data storage module; 50. an information query module; 51. and a data statistics module.
Detailed Description
The application discloses a management method for electric vehicle charging. The method is based on an owner terminal, a background, charging piles and a plurality of charging piles forming a charging station. The vehicle owner terminal can transmit signals to the background, the charging pile can send information to the background, the background can send instructions to the charging pile, the charging pile executes the instructions sent by the background, and the background can be a server. When the car owner charges, the 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:
and S10, receiving a charging request sent by the owner terminal.
Specifically, after a vehicle owner inserts a charging gun into a charging port, or when the vehicle owner stops the vehicle in a parking space of a target charging pile, the vehicle owner sends a charging request to a background through a vehicle owner terminal, and the charging request comprises an identity of the target charging pile, charging stop time, charging start time and planned charging amount. The identity is the only identification information of every stake of charging, and the identification information of every stake of charging can show on filling the stake, also can fill electric pile automatic sending for the car owner after the car owner will fill electric pile and peg graft into the mouth that charges. The vehicle owner terminal can be a smart phone or a vehicle-mounted intelligent device and the like. The target charging pile can be any one of the charging piles.
And S11, acquiring a preset charging power range corresponding to the charging pile.
Specifically, the background queries 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.
And S12, calculating the maximum charging time length and the minimum charging time length.
Specifically, the planned charging amount is divided by the maximum power to obtain a minimum charging period, and the planned charging amount is divided by the minimum charging power to obtain a maximum charging period.
And S13, calling 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 stay time, and then calls the charging start time to the charging end time of the charging station corresponding to the target charging pile in the electricity price database, and the predicted charging electricity price of each preset time period. For example, the time duration of each time period may be half an hour, and the time periods 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 start time of the time period; and if the charging end time falls within a certain time period, taking the charging end time as the end time of the time period. The predicted charging electricity prices for each time period are retrieved from a preset electricity price database, and the predicted charging electricity prices are stored in the electricity price database in advance.
And S14, setting a charging scheme according to the charging stay time, the minimum charging time and the maximum charging time.
Specifically, if the charging stay time is longer than the minimum charging time, a time period with the lowest predicted charging electricity price is sequentially selected from a time period between the charging start time and the charging end time, the background sends a maximum power charging instruction to the charging pile at the start time of the selected time period, so that the charging pile charges the automobile at the maximum power, and when the time period is over, a charging suspension instruction is sent to the charging pile, so that the charging pile suspends charging, and waits for the next selected charging time period until the charging amount reaches the planned charging amount. So that the owner of the vehicle can charge the vehicle with the lowest amount of money in a certain time and charge the electric quantity to the planned charging quantity. And if the adjacent time periods exist in the selected time periods, the background does not send a charging pause instruction to the charging pile when the previous time period is over. If the charging stay time is less than or equal to the minimum charging stay time, the background sends a maximum power charging instruction to the charging pile, so that the charging pile directly charges the automobile with the maximum power until the charging stay time is reached, and the automobile owner can charge the maximum electric quantity in the same time.
In another embodiment, in consideration of the situation that the background needs to predict the electricity price in advance, the management method for charging the electric vehicle further comprises the following steps:
and S20, acquiring the historical charging electricity price in the preset number of days.
Specifically, a target time period and a historical charging electricity price for a preset number of time periods after the target time period within a preset number of days are acquired. The target time period is the next time period of 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. And calling out the historical charging electricity price of each time period within the preset number of days from a preset electricity price database by the background.
And S21, respectively calculating the predicted charging electricity price of each time section.
Specifically, the background calculates an average of all the adjusted historical charging prices corresponding to each time period, and takes the obtained 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 related mode.
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 from the electricity price database in the background, the predicted charging electricity price can be directly called.
In yet another embodiment, considering the situation that the predicted value is inaccurate in subsequent prediction of the electricity price due to the fact that the electricity price is adjusted temporarily by the power station, 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 a 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 corresponding predicted electricity price is refreshed, and if the length of the time period is half an hour, the predicted electricity price is refreshed every half an hour, so that when the electricity price is adjusted temporarily by the power station, the predicted charging electricity price can be adjusted timely according to the adjustment of the power station, and the prediction is more accurate.
In another embodiment, considering the situation that the power station is influenced by the grid power price when the actual charging power price is formulated, after the target time period and the historical charging power prices of the preset number of time periods within the preset number of days after the target time period are obtained, the background obtains the historical grid power price of each time period within the preset number of days from the power price database, the grid power price of the previous day corresponding to each time period is used as the reference grid power price, then the historical charging power prices of the corresponding historical grid power price and the reference grid power price are selected from the historical charging power prices, the average value of the selected historical charging power prices of each time period is respectively calculated, and the calculated average value is used as the predicted charging power price. For example, 10: 00-10: and if the power grid electricity price in the 30 time period is 1.1 yuan/kilowatt hour, and the preset number of days is 30 days, selecting the power grid electricity price in the 30 days to be 1.1 yuan/kilowatt hour, and the time period to be 10: 00-10: 30, and calculating the average of all selected historical charging prices to obtain 10: 00-10: the predicted charging electricity rate for 30 time periods. The background calls out the historical charging electricity price with the corresponding electricity price identical to that of the reference power grid, so that the historical charging electricity price for predicting the electricity price is more accurate, and the possibility of inaccurate prediction caused by the change of the electricity price is reduced.
In yet another embodiment, in consideration of the situation that the grid electricity prices may be temporarily adjusted, after taking the grid electricity price of the previous day corresponding to each time period as the reference grid electricity price, the background acquires the actual grid electricity price corresponding to one time period before the target time period and the reference grid electricity price, calculates a difference between the acquired actual grid electricity price and the reference grid electricity price to determine whether the grid electricity price has been temporarily adjusted, and increases or decreases the reference grid electricity price corresponding to each time period according to the calculated difference. Therefore, the refreshing of the reference power grid electricity price is completed, and the possibility that the prediction of the electricity price is inaccurate due to inaccurate reference power grid electricity price caused by temporary power grid electricity price adjustment is reduced.
In one embodiment, in consideration of the situation that in a charging peak period, a vehicle which is charged urgently is difficult to find an idle charging pile due to the fact that a charged vehicle owner occupies a parking space of the charging pile for too long time, after the charging ending time is obtained in the background according to the charging starting time and the charging staying time, the background inquires the charging record of the charging station corresponding to the target charging pile in the previous day of the charging station, and counts the number of the vehicles which start to be charged and the number of the vehicles which end to be charged in the charging record from the charging starting time to the charging ending time. Judging whether the counted number of the vehicles starting to be charged is larger than the number of the vehicles finishing to be charged or not, if so, judging whether the charging stay time of the owner terminal is larger than the maximum charging time, if so, sending a stay time modification suggestion to the owner terminal, wherein the stay time modification suggestion comprises the maximum charging time and suggestion content; and if the charging stay time of the owner terminal is not more than the maximum charging stay time, not sending a suggestion for modifying the stay time. If the number of the vehicles starting to be charged is not more than the number of the vehicles finishing to be charged, the number of the vehicles leaving the charging station is large, the number of people entering the charging station is small, or the number of the vehicles leaving the charging station is as large as that of the vehicles entering the charging station, and the electricity price is continuously predicted. Thereby help when the peak period, remind the car owner to modify long in the dwell of parking stall, modify to the longest charging duration to help filling in the back in time will fill electric pile release, the car that conveniently urgently needs to charge in time finds the free electric pile that fills.
In one embodiment, in consideration of the situation that a charging pile is in short supply, after the background judges that the number of the vehicles starting to be charged is greater than the number of the vehicles finishing charging, a difference value between the number of the vehicles starting to be charged and the number of the vehicles finishing charging is calculated, if the calculated difference value is greater than a preset difference value threshold value, a large number of vehicles enter the charging station, the background judges whether the charging stay time length is greater than the minimum charging time length, if so, a charging time length modification suggestion is sent to a vehicle owner, and the charging time length modification suggestion comprises the minimum charging time length and suggestion content; otherwise, continuing to predict the electricity price. If the calculated difference is not greater than the preset difference threshold, judging whether the charging stay time is greater than the maximum charging stay time, if so, sending a stay time modification suggestion to the vehicle owner terminal, wherein the stay time modification suggestion comprises the maximum charging stay time and suggestion content; otherwise, no modified dwell time suggestion is sent. The difference threshold is preset by the staff according to the number of the electric piles of the charging station. The charging period of the vehicle in the peak period is fast, and the vehicle can be timely made a charging parking space for subsequent vehicles.
According to the management method for electric vehicle charging, the background can automatically predict the charging electricity price, and can refresh and correct self at certain intervals, so that the accurate predicted charging electricity price is obtained. The background can automatically generate a scheme with the lowest price for the vehicle owner to charge to the expected electric quantity within a certain time according to the predicted charging 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, and 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 that the time period of the vehicle owner staying in the charging station after the charging is finished is reduced.
In one embodiment, as shown in fig. 3, there is provided a management apparatus for electric vehicle charging, the apparatus including:
the charging system comprises an information receiving module 30, a charging management module and a charging management module, wherein the information receiving module is used for receiving a charging request sent by a vehicle owner terminal, and the charging request comprises an identity of a target charging pile, a charging stay time, a charging start time and a planned charging amount;
the information calculation 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 a maximum charging power, a minimum charging power, and a 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 stay time, retrieve the predicted charging electricity price of each preset time period from the charging start time to the charging end time of the charging station corresponding to the target charging pile from the electricity price database;
the information selection module 33 is configured to sequentially select 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 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 at the 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 duration is less than the minimum charging duration until the actual charging duration reaches the charging duration.
In another embodiment, the information retrieving module 32 is further configured to obtain the target time period and the historical charging electricity prices of a preset number of time periods after the target time period within a preset number of days;
the information calculating module 31 is further configured to calculate an average value of the historical charging electricity prices in each time period within a preset number of days;
as shown in fig. 4, a management apparatus for electric vehicle charging further includes:
an electricity price prediction module 40 for taking the calculated average value as a predicted charging electricity price for each time period;
and a data storage module 41, configured to store the obtained predicted charging electricity price in association with the time period into an electricity price database.
In another embodiment, the information receiving module 30 is further configured to receive an actual charging price corresponding to the target time period sent when the charging pile reaches the target time period;
the information calculation module 31 is further configured to calculate an electricity price difference obtained by subtracting the predicted charging electricity price from the actual charging electricity price;
the information calculating module 31 is further configured to add the predicted charging electricity price of each time period after the target time period to the electricity price difference if the absolute value of the electricity price difference is greater than a preset difference threshold.
In 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 a historical charging electricity price when the corresponding historical power grid price is consistent with the reference power grid electricity price from the historical charging electricity prices;
the information calculating module 31 is specifically configured to calculate an average value of all selected historical charging electricity prices corresponding to each time period.
In another embodiment, the information retrieving module 32 is further configured to obtain an actual grid electricity price corresponding to a time period before the target time period and a reference grid electricity price;
the information calculation module 31 is further configured to calculate a difference between the obtained actual grid electricity price and the reference grid electricity price;
the instruction sending module 35 is further configured to adjust the electricity price of the reference power grid corresponding to each time period according to the calculated difference.
In still another embodiment, as shown in fig. 5, a management apparatus for electric vehicle charging further includes:
the information query module 50 is configured to query a charging record of the charging station in the previous day in a preset charging record database;
the information counting module 51 is configured to count the number of vehicles starting to be charged and the number of vehicles ending to be charged from the charging start time to the charging end time in the charging record;
the information calculation module 31 is further configured to determine whether the charging duration is longer than the maximum charging duration if the number of the vehicles starting to charge is larger than the number of the vehicles ending to charge;
the information sending module 34 is further configured to send a stay time modification suggestion to the vehicle owner terminal if the charging time modification is successful, where the stay time modification suggestion includes a maximum charging time and a suggestion content.
In another embodiment, the information calculating module 31 is specifically configured to:
the system is used for calculating the difference between the number of the vehicles starting to be charged and the number of the vehicles finishing to be charged;
if the difference is greater than a preset difference threshold, sending a modification stay time suggestion to the vehicle owner terminal when the charging time is greater than the minimum charging time, wherein the modification stay time suggestion comprises the minimum charging time and suggestion content;
and if the difference is smaller than a preset difference threshold, judging whether the charging stay time is longer than the maximum charging time.
In one embodiment, a computer device is provided.
Specifically, the computer device comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and executes the management method for the charging of the electric automobile.
In one embodiment, a computer-readable storage medium is provided.
Specifically, the computer-readable storage medium, which stores a computer program that can be loaded by a processor and executes the management method for electric vehicle charging as described above, includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Claims (10)
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 of a target charging pile, charging stay time, charging start time and planned charging amount;
acquiring a preset charging power range corresponding to the target charging pile, and calculating to obtain a maximum charging time and a minimum charging time according to the maximum charging power, the minimum charging power and the planned charging amount of the target charging pile;
obtaining charging end time according to the charging start time and the charging stay time, and calling the charging start time to the charging end time of a charging station corresponding to the target charging pile and the predicted charging electricity price of each preset time period from the charging start time to the charging end time in an electricity price database;
if the charging stay time is longer than the minimum charging time, sequentially selecting the time periods with the lowest predicted charging electricity price from the time periods;
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 at the maximum power until the charging amount reaches the planned charging amount;
and if the charging stay time is less than the minimum charging stay time, sending a maximum power charging instruction to the target charging pile until the actual charging stay time reaches the charging stay time.
2. The method of claim 1, further comprising:
acquiring a target time period and historical charging electricity prices of a preset number of time periods after the target time period within preset days;
respectively calculating the average value of the historical charging electricity prices of each time period in preset days;
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 a correlation mode.
3. The method of claim 2, wherein storing the obtained predicted charging electricity prices in association with time periods in an electricity price database further comprises:
receiving actual charging electricity prices corresponding to the target time periods sent when the charging piles reach the target time periods;
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, 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, wherein after the obtaining the target time period and the historical charging electricity prices for the preset number of time periods within a preset number of days after the target time period, further comprising:
acquiring the historical power grid electricity price of each time period in the preset number of 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 of each time period in the preset number of days respectively comprises the following steps:
selecting historical charging electricity prices when the corresponding historical power grid prices are consistent with the reference power grid electricity prices from the historical charging electricity prices;
and calculating the average value of all selected historical charging electricity prices corresponding to each time period.
5. The method according to claim 4, wherein after the taking the grid electricity price of the previous day corresponding to each time period as a reference grid electricity price, the method further comprises:
acquiring an actual power grid electricity price and a reference power grid electricity price corresponding to a previous time period of the target time period;
calculating the difference value between the obtained actual power grid electricity price and the reference power grid electricity price;
and adjusting the electricity price of the reference power grid corresponding to each time period according to the calculated difference.
6. The method of claim 1, further comprising, after deriving a charge end time from the charge start time and a charge dwell time period:
inquiring the charging record of the previous day of the charging station in a preset charging record database;
counting the number of vehicles starting to be charged and the number of vehicles finishing to be charged from the charging start time to the charging end time in the charging record;
if the number of the vehicles starting to charge is larger than that of the vehicles finishing charging, judging whether the charging stay time is larger than the maximum charging time;
and if so, sending a modification stay time suggestion to the owner terminal, wherein the modification stay time suggestion comprises the maximum charging time and suggestion content.
7. The method of claim 6, wherein the determining whether the charge dwell period is greater than the maximum charge period comprises:
calculating a difference value between the number of the vehicles starting to be charged and the number of the vehicles finishing to be charged;
if the difference is greater than a preset difference threshold, sending a modification stay time suggestion to the vehicle owner terminal when the charging time is greater than the minimum charging time, wherein the modification stay time suggestion comprises the minimum charging time and suggestion content;
and if the difference is smaller than a preset difference threshold, judging whether the charging stay time is longer than the maximum charging time.
8. A management device for electric vehicle charging, characterized in that the device comprises:
the charging system comprises an information receiving module (30) and a charging management module, wherein the information receiving module is used for receiving a charging request sent by a vehicle owner terminal, and the charging request comprises an identity of a target charging pile, a charging stay time, a charging start 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 time length and a minimum charging time length according to the maximum charging power, the minimum charging power and a planned charging amount of the target charging pile;
the information calling module (32) is used for obtaining charging ending time according to the charging starting time and the charging staying time, calling the charging starting time to the charging ending time of a charging station corresponding to the target charging pile in an electricity price database, and calling the predicted charging electricity price of each preset time period;
the information selection module (33) is used for sequentially selecting the time periods 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 (34) is used for 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 at the maximum power until the charging amount reaches the planned charging amount;
and the instruction sending module (35) is used for sending a maximum power charging instruction to the target charging pile if the charging stay time is less than the minimum charging stay time until the actual charging stay time reaches the charging stay time.
9. A computer device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 7.
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