CN115663867A - Electric vehicle charging scheduling method based on intelligent charging network system - Google Patents
Electric vehicle charging scheduling method based on intelligent charging network system Download PDFInfo
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- 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
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Abstract
The invention provides an electric vehicle charging scheduling method based on an intelligent charging network system, which comprises the following steps: acquiring an initial scheduling scheme of each electric vehicle added into the intelligent charging network system; determining the power consumption requirement and the power consumption duration of the electric automobile in each charging area according to the initial scheduling scheme; judging whether the power demand is larger than the average load of the power grid of the corresponding charging area or not, and generating a first judgment result; judging whether the electricity utilization time belongs to the electricity price peak time period or not, and generating a second judgment result; generating a second scheduling scheme according to the initial scheduling scheme, the first judgment result and the second judgment result based on the intelligent charging network system; and performing charging scheduling on the corresponding electric automobile according to the second scheduling scheme.
Description
Technical Field
The invention relates to the technical field of electric vehicle charging, in particular to an electric vehicle charging scheduling method based on an intelligent charging network system.
Background
In recent years, with the rapid development of scientific technology, the related technologies of electric vehicles are gradually perfected and mature, but how to more perfectedly, quickly and effectively determine the electric vehicle charging scheduling scheme gradually becomes the key point of research of technicians in the field, and at present, the existing solution is to optimize the charging scheduling scheme by using an intelligent charging network system, for example, the patent application with the publication number CN 112801447A: the intelligent charging network system and the electric vehicle charging scheduling method based on the system are characterized in that the charging and discharging states of an intelligent charging pile and distributed energy sources are controlled according to the difference value between the acquired user side electricity demand and the pre-acquired average load of a power grid to establish the intelligent charging network system, and the system is used for optimizing a charging scheduling scheme based on the load condition of the power grid.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an electric vehicle charging scheduling method based on an intelligent charging network system, which is used for solving the problem that the scheduling scheme is not optimized in the global scope by carrying out scheduling on the actual conditions of charging piles and electric vehicles in different areas.
An electric vehicle charging scheduling method based on an intelligent charging network system comprises the following steps:
acquiring an initial scheduling scheme of each electric vehicle added into the intelligent charging network system;
determining the power consumption demand and the power consumption duration of the electric automobile in each charging area according to the initial scheduling scheme;
judging whether the power demand is larger than the average load of the power grid of the corresponding charging area or not, and generating a first judgment result;
judging whether the electricity utilization duration belongs to the electricity price peak time period or not, and generating a second judgment result;
generating a second scheduling scheme according to the initial scheduling scheme, the first judgment result and the second judgment result based on the intelligent charging network system;
and performing charging scheduling on the corresponding electric automobile according to the second scheduling scheme.
As an embodiment of the present invention, an initial scheduling scheme includes: the system comprises a pre-driving charging pile sequence, pre-arrival charging pile time, charging efficiency, residual cruising amount after arrival of the charging pile and a to-be-charged amount.
As an embodiment of the present invention, determining the power demand and the power consumption duration of the electric vehicle in each charging area according to the initial scheduling scheme includes:
screening to obtain the charging efficiency, the amount to be charged and the pre-arrival charging pile time in the initial scheduling scheme of each electric vehicle in each charging area;
calculating the electricity consumption time of each electric automobile according to the charging efficiency and the amount to be charged;
and determining the power consumption requirements of all electric vehicles in each charging area at each moment according to the pre-arrival charging pile time, the power consumption time and the charging efficiency.
As an embodiment of the present invention, the accumulated order of the power demand of each electric vehicle is determined according to the order in which the initial scheduling scheme of each electric vehicle is added to the intelligent charging network system.
As an embodiment of the present invention, based on the intelligent charging network system, the second scheduling scheme is generated according to the initial scheduling scheme, the first determination result, and the second determination result, including the following steps:
s501, judging whether the electric automobile needs to generate a pre-dispatching scheme or not according to the first judgment result and the second judgment result, and generating a third judgment result; if the third determination result is negative, go to S502, if the third determination result is positive, go to S503;
s502, taking the initial scheduling scheme as a second scheduling scheme;
s503, based on the intelligent charging network system, judging whether the electric automobile can successfully drive to the next charging area according to the initial scheduling scheme, and generating a fourth judgment result; if the fourth determination result is negative, go to S502, if the fourth determination result is positive, go to S504;
s504, generating a pre-scheduling scheme based on the intelligent charging network system;
s505, judging whether the electricity utilization duration in the pre-scheduling scheme belongs to an electricity price peak period or not, and generating a fifth judgment result;
and S506, generating a second scheduling scheme according to a fifth judgment result based on the pre-scheduling scheme.
As an embodiment of the present invention, determining whether the electric vehicle needs to generate a pre-scheduling scheme according to the first determination result and the second determination result includes:
and if the first judgment result is yes and/or the second judgment result is yes, judging that the electric automobile needs to generate a pre-dispatching scheme, otherwise, judging that the electric automobile does not need to generate the pre-dispatching scheme.
As an embodiment of the present invention, the method for determining whether an electric vehicle can successfully travel to a next charging area according to an initial scheduling scheme based on an intelligent charging network system includes:
acquiring the running distance of a charging area to be passed by at the next station of the electric automobile based on an intelligent charging network system;
determining the remaining endurance of the electric automobile after the electric automobile reaches the current charging area according to the initial scheduling scheme;
determining whether the electric automobile can successfully drive to the next charging area or not according to the driving distance, the residual endurance and a preset error coefficient;
if the driving distance is less than the multiplication value of the residual cruising amount and the preset error coefficient, judging that the electric automobile can successfully drive to the next charging area;
otherwise, the electric automobile is judged to be incapable of successfully driving to the next charging area.
As an embodiment of the present invention, generating a pre-scheduling scheme based on an intelligent charging network system includes:
determining a charging pile sequence of a next station driven in advance, charging pile time of a next station reached in advance, charging efficiency, residual cruising amount after reaching the charging pile of the next station and a to-be-charged amount of the next station based on an intelligent charging network system;
and generating a pre-scheduling scheme according to the charging pile sequence of the next station driven in advance, the charging pile time of the next station reached in advance, the charging efficiency, the residual cruising quantity after the charging pile of the next station is reached and the amount to be charged of the next station.
As an embodiment of the present invention, generating a second scheduling scheme according to a fifth determination result based on the pre-scheduling scheme includes:
if the fifth judgment result is negative, taking the pre-scheduling scheme as a second scheduling scheme;
if the fifth judgment result is yes, generating a new first judgment result and a new second judgment result of the pre-scheduling scheme, taking the pre-scheduling scheme as a new initial scheduling scheme, and repeatedly executing the steps S501-S506 until the second scheduling scheme is generated.
As an embodiment of the present invention, an electric vehicle charging scheduling method based on an intelligent charging network system further includes:
if the second judgment result is yes, acquiring the driving distance of a charging area to be passed by at the next station of the electric automobile based on the intelligent charging network system;
calculating the actual driving distance of the electric automobile according to the residual cruising quantity of the electric automobile after the electric automobile reaches the current charging area and a preset error coefficient;
if the actual distance capable of traveling is less than the traveling distance, calculating to obtain a difference value between the traveling distance and the actual distance capable of traveling, and taking the difference value as a distance to be supplemented;
determining the minimum electric quantity of the electric automobile needing to be supplemented with the charging quantity according to the distance to be supplemented;
acquiring the time spent by the electric automobile when the electric automobile supplements the charge quantity of the minimum electric quantity as the minimum duration;
acquiring the average time length required by the electric automobile to travel from the current charging area to the next station charging area;
judging whether the time period when the electric automobile reaches the next station charging area belongs to the electricity price peak time period or not according to the minimum time length, the average time length and the current time, and if so, generating a saving suggestion scheme;
if not, prolonging the minimum time length until the time period when the electric automobile arrives at the next station charging area is judged not to belong to the electricity price peak time period according to the minimum time length, the average time length and the current time, and generating a saving suggestion scheme;
meanwhile, if the minimum duration is prolonged, the charging amount corresponding to the electric automobile meets the preset requirement, and then a saving suggestion scheme is not sent.
The beneficial effects of the invention are as follows:
the invention provides an electric vehicle charging scheduling method based on an intelligent charging network system, which is used for solving the problem that the prior art does not realize the optimization of a scheduling scheme on the actual conditions of charging piles and electric vehicles in different areas in a global range.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a method of an electric vehicle charging scheduling method based on an intelligent charging network system according to an embodiment of the present invention;
fig. 2 is a detailed flowchart of S105 in an electric vehicle charging scheduling method based on an intelligent charging network system according to an embodiment of the present invention;
fig. 3 is a detailed flowchart of S506 in the electric vehicle charging scheduling method based on the intelligent charging network system in the embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it should be understood that they are presented herein only to illustrate and explain the present invention and not to limit the present invention.
Referring to fig. 1, an embodiment of the present invention provides an electric vehicle charging scheduling method based on an intelligent charging network system, including:
s101, acquiring an initial scheduling scheme of each electric vehicle added into the intelligent charging network system;
s102, determining the power consumption requirement and the power consumption duration of the electric automobile in each charging area according to the initial scheduling scheme;
s103, judging whether the power consumption demand is larger than the average load of the power grid of the corresponding charging area, and generating a first judgment result;
s104, judging whether the electricity utilization duration belongs to the electricity price peak time period or not, and generating a second judgment result;
s105, based on the intelligent charging network system, generating a second scheduling scheme according to the initial scheduling scheme, the first judgment result and the second judgment result;
s106, performing charging scheduling on the corresponding electric automobile according to a second scheduling scheme;
the working principle of the technical scheme is as follows: first, the intelligent charging network system of the present invention establishes a connection with a user terminal, which is preferably built in each electric vehicle, for acquiring real-time parameters of the electric vehicle, and at the same time, the intelligent charging network system comprises a charging scheduling management platform, an intelligent charging pile cluster, a power grid and distributed energy sources, wherein the charging scheduling management platform is in communication connection with the intelligent charging pile cluster, the power grid and the distributed energy sources, the intelligent charging pile cluster and the distributed energy sources are connected to the power grid, when the intelligent charging network system starts to operate, firstly, the intelligent charging network system acquires initial parameters of each electric vehicle sent by a plurality of user terminals, then the intelligent charging network system generates an initial scheduling scheme of the electric vehicle according to the initial parameters and a built-in preset integration logic, after the initial scheduling scheme is obtained, the intelligent charging network system determines the power consumption requirement and the power consumption duration of the electric automobile in each charging area according to the sending positioning and the initial parameters corresponding to the initial scheduling scheme, then the intelligent charging network system compares the power consumption demand in each area with the corresponding pre-acquired average load of the power grid in the area to generate a first judgment result, and judging whether the electricity consumption time of each electric automobile belongs to the electricity price peak time period or not, generating a second judgment result, the electricity utilization duration refers to a charging time period, then based on an intelligent charging network system, a second scheduling scheme is generated according to the initial scheduling scheme, the first judgment result and the second judgment result, after the electric automobile drives into a charging area and is connected with a charging pile, according to the unique identification sent by the electric automobile, a second scheduling scheme which is planned in advance in an intelligent charging network system is obtained to control a charging pile to perform charging scheduling on the electric automobile; furthermore, the second scheduling scheme is displayed like a user side through a network connection channel;
the beneficial effects of the above technical scheme are: the problem that the prior art does not realize that the optimization of scheduling scheme is carried out through the actual conditions to different regional charging pile and electric automobile in the global scope is of value to solving, and the scheduling scheme that charges can be adjusted according to actual conditions in real time before electric automobile drives into the region that charges and charges, is of value to improving the effective rate of scheduling scheme that charges for the scheduling scheme that charges can more satisfy the demand of user side and charging pile side.
In one embodiment, the initial scheduling scheme includes: the method comprises the steps of pre-entering charging pile sequence, pre-arrival charging pile time, charging efficiency, residual cruising amount after arrival of the charging pile and amount to be charged;
the working principle of the technical scheme is as follows: the method comprises the steps that an initial scheduling scheme is determined by obtaining real-time parameters of the electric automobile, the real-time parameters comprise a recent traveling route, a traveling average speed, electric quantity parameters of the electric automobile and the like, after the intelligent charging network system receives the real-time parameters, big data analysis is conducted on the recent traveling route, and the destination of the electric automobile is predicted, and the prediction method comprises multiple schemes in the prior art, wherein the schemes are not repeated;
the beneficial effects of the above technical scheme are: the method has the advantages that the real-time connection between the intelligent charging network system and the user side is established, the parameter information of the user side is acquired in real time to establish the initial scheduling scheme, the initial scheduling scheme is beneficial to initially acquiring the condition to be scheduled of the user side, the corresponding charging area is prepared in advance, and the invalid charging scheduling scheme caused by the conditions of preemption of the charging side and the like is prevented.
In one embodiment, determining the power demand and the power consumption duration of the electric vehicle in each charging area according to an initial scheduling scheme comprises:
screening to obtain the charging efficiency, the amount to be charged and the pre-arrival charging pile time in the initial scheduling scheme of each electric vehicle in each charging area;
calculating the electricity consumption time of each electric automobile according to the charging efficiency and the amount to be charged;
determining the power consumption requirements of all electric vehicles in each charging area at each moment according to the pre-arrival charging pile time, the power consumption duration and the charging efficiency;
the working principle of the technical scheme is as follows: according to the initial scheduling scheme, determining the power consumption requirement and the power consumption duration of each electric automobile in each charging area, and firstly, screening to obtain the charging efficiency, the amount to be charged and the pre-arrival charging pile time in the initial scheduling scheme of each electric automobile in each charging area; then calculating the electricity utilization time of each electric automobile according to the charging efficiency and the amount to be charged; the calculation method is preferably
Wherein, time is the electricity consumption timeEfficiency is the charging efficiency, and electric is the amount to be charged; determining the power consumption requirements of all electric vehicles in each charging area at each moment according to the pre-arrival charging pile time, the power consumption duration and the charging efficiency;
the beneficial effects of the above technical scheme are: the power utilization time and the power utilization requirements of each electric automobile are quickly determined, the corresponding charging area is prepared in advance, and the problem that the load of a power grid exceeds is solved.
In one embodiment, the accumulated sequence of the power consumption requirements of each electric vehicle is determined according to the sequence of adding the initial scheduling scheme of each electric vehicle into the intelligent charging network system;
the beneficial effects of the above technical scheme are: and determining the accumulation sequence of the power consumption demands of each electric vehicle according to the time sequence of each electric vehicle added to the intelligent charging network system according to the initial scheduling scheme of each electric vehicle, and emptying the power consumption demands corresponding to the electric vehicles after the electric vehicles are docked in the charging piles, thereby being beneficial to effectively controlling the average load of the actual power grid of each charging area.
Referring to fig. 2, in an embodiment, the generating the second scheduling scheme according to the initial scheduling scheme, the first determination result, and the second determination result based on the intelligent charging network system includes the following steps:
s501, judging whether the electric automobile needs to generate a pre-dispatching scheme or not according to the first judgment result and the second judgment result, and generating a third judgment result; if the third determination result is negative, go to S502, if the third determination result is positive, go to S503;
s502, taking the initial scheduling scheme as a second scheduling scheme;
s503, based on the intelligent charging network system, judging whether the electric vehicle can successfully drive to the next charging area according to the initial scheduling scheme, and generating a fourth judgment result; if the fourth determination result is negative, go to S502, if the fourth determination result is positive, go to S504;
s504, generating a pre-scheduling scheme based on the intelligent charging network system;
s505, judging whether the electricity utilization duration in the pre-scheduling scheme belongs to an electricity price peak period or not, and generating a fifth judgment result;
s506, generating a second scheduling scheme according to a fifth judgment result based on the pre-scheduling scheme;
the working principle and the beneficial effects of the technical scheme are as follows: firstly, judging whether the electric automobile needs to generate a pre-dispatching scheme or not according to a first judgment result and a second judgment result, and generating a third judgment result; if the third judgment result is negative, the initial scheduling scheme is used as a second scheduling scheme, and if the third judgment result is positive, whether the electric vehicle can successfully drive to the next charging area is judged according to the initial scheduling scheme based on the intelligent charging network system, so that a fourth judgment result is generated; if the fourth judgment result is negative, the initial scheduling scheme is used as a second scheduling scheme, and if the fourth judgment result is positive, a pre-scheduling scheme is generated based on the intelligent charging network system; judging whether the electricity utilization duration in the pre-scheduling scheme belongs to the electricity price peak time period or not, and generating a fifth judgment result; finally, based on the pre-scheduling scheme, according to a fifth judgment result, generating a second scheduling scheme; through the scheme, the optimization of the scheduling scheme is realized in the global scope through the actual conditions of the charging piles and the electric automobile in different areas, wherein the initial charging scheduling scheme of the electric automobile is preliminarily determined according to the actual conditions of the electric automobile, the initial charging scheduling scheme of the electric automobile is adjusted in the global scope (a plurality of charging areas) through the charging states (including power grid load, charging cost and the like) of the charging piles in different areas, so that the initial charging scheduling scheme can meet the requirements of users in the aspect of cost, and compared with the prior art, the optimal scheduling scheme of the electric automobile can be known without driving the electric automobile into the corresponding charging area, and the corresponding charging piles can be prepared (locked and the like) in advance through an intelligent charging network system before the users drive into the corresponding charging areas, so that the management of the global electric automobile charging scheduling is facilitated.
In one embodiment, the determining whether the electric vehicle needs to generate the pre-dispatching scheme according to the first determination result and the second determination result includes:
if the first judgment result is yes and/or the second judgment result is yes, judging that the electric automobile needs to generate a pre-dispatching scheme, otherwise, judging that the electric automobile does not need to generate the pre-dispatching scheme;
the beneficial effects of the above technical scheme are: according to the scheme, whether the pre-scheduling scheme is generated or not is judged together according to the willingness of the user side in the aspect of saving the electric charge and the willingness of the charging pile side in reducing the load peak valley difference of the power grid, and meanwhile, the willingness of the user side and the willingness of the charging pile side are considered, so that the overall effect of optimizing the charging scheduling scheme is improved beneficially.
In one embodiment, the determining whether the electric vehicle can successfully drive to the next charging area according to the initial scheduling scheme based on the intelligent charging network system includes:
acquiring the running distance of a charging area to be passed by at the next station of the electric automobile based on an intelligent charging network system;
determining the remaining endurance of the electric automobile after the electric automobile reaches the current charging area according to the initial scheduling scheme;
determining whether the electric automobile can successfully run to the next charging area or not according to the running distance, the residual cruising quantity and a preset error coefficient;
if the driving distance is less than the multiplication value of the residual cruising amount and the preset error coefficient, judging that the electric automobile can successfully drive to the next charging area;
otherwise, judging that the electric automobile cannot successfully drive to the next charging area;
the working principle of the technical scheme is as follows: firstly, acquiring the running distance of a charging area to be passed by the next station of the electric vehicle based on an intelligent charging network system, wherein the acquiring method is preferably based on a running route and real-time position of the electric vehicle acquired by the intelligent charging network system and navigation data, jointly calculating to obtain the shortest distance from the current charging area to the charging area to be passed by the next station of the electric vehicle as the running distance, then determining the residual cruising quantity after the electric vehicle reaches the current charging area according to an initial scheduling scheme, wherein the residual cruising quantity actually refers to the actual cruising quantity of the current electric vehicle, and then determining whether the electric vehicle can successfully run to the next charging area according to the running distance, the residual cruising quantity and a preset error coefficient, wherein if the running distance is less than the multiplied value of the residual cruising quantity and the preset error coefficient, the electric vehicle is determined to successfully run to the next charging area; otherwise, judging that the electric automobile cannot successfully drive to the next charging area;
the beneficial effects of the above technical scheme are: through the scheme, whether the current electric quantity condition of the electric automobile meets the charging scheduling scheme aiming at saving the electric charge or not is judged, the advance calculation is beneficial to preventing the invalid charging scheduling scheme caused by insufficient electric quantity, and the effective rate of the scheduling scheme is improved.
In one embodiment, the generating of the pre-scheduling scheme based on the intelligent charging network system includes:
determining a charging pile sequence of a next station driven in advance, charging pile time of a next station reached in advance, charging efficiency, residual cruising amount after reaching the charging pile of the next station and a to-be-charged amount of the next station based on an intelligent charging network system;
generating a pre-scheduling scheme according to a pre-driving next-station charging pile sequence, a pre-arriving next-station charging pile time, charging efficiency, a residual cruising amount after arriving at a next-station charging pile and a next-station to-be-charged amount;
the working principle and the beneficial effects of the technical scheme are as follows: determining a pre-driving-in next station charging pile sequence based on an intelligent charging network system, wherein the determining method is based on a traveling route sent by the electric vehicle and received by the intelligent charging network system, a big data destination analysis method, a pre-stored position of each charging area and the determination of the use condition of each charging pile through the control of the use condition of each charging pile, and the use condition of each charging pile can be transmitted by the charging pile of the intelligent charging network system; then, determining the time of the charging pile of the next station to be arrived in advance, the charging efficiency, the remaining cruising quantity after the charging pile of the next station is arrived and the method of the charging quantity to be charged of the next station are the same as the method of obtaining the initial scheduling scheme; and then integrating a next station charging pile sequence which is driven in advance, the time of the next station charging pile which is reached in advance, the charging efficiency, the residual cruising quantity after the next station charging pile is reached and the next station to-be-charged quantity to generate a pre-scheduling scheme.
Referring to fig. 3, in an embodiment, generating the second scheduling scheme according to a fifth determination result based on the pre-scheduling scheme includes:
s5061, determining the fifth determination result, if yes, going to S5062, if no, going to S5063;
s5062, generating a new first judgment result and a new second judgment result of the pre-scheduling scheme, taking the pre-scheduling scheme as a new initial scheduling scheme, and turning to S5064;
s5063, taking the pre-scheduling scheme as a second scheduling scheme;
s5064, repeatedly executing the steps S501-S506;
the beneficial effects of the above technical scheme are: according to the requirements of the user side and the charging pile side, the charging scheduling scheme is adjusted in real time, so that the requirements of the user side and the charging pile side can be met, and the practicability of the charging scheduling scheme is improved.
In one embodiment, the electric vehicle charging scheduling method based on the intelligent charging network system further includes:
if the second judgment result is yes, acquiring the driving distance of a charging area to be passed by in the next station of the electric automobile based on the intelligent charging network system;
calculating the actual travelable distance of the electric automobile according to the residual cruising quantity of the electric automobile after reaching the current charging area and a preset error coefficient;
if the actual distance capable of traveling is less than the traveling distance, calculating to obtain a difference value between the traveling distance and the actual distance capable of traveling, and taking the difference value as a distance to be supplemented;
determining the minimum electric quantity of the electric automobile which needs to be supplemented with the charging quantity according to the distance to be supplemented;
acquiring the time spent by the electric automobile when the electric automobile supplements the charge quantity of the minimum electric quantity as the minimum duration;
acquiring the average time length required by the electric automobile to travel from the current charging area to the next station charging area;
judging whether the time period when the electric vehicle reaches the next station charging area belongs to the electricity price peak time period or not according to the minimum time length, the average time length and the current time, and if so, generating a saving suggestion scheme;
if not, prolonging the minimum time length until the time period when the electric automobile arrives at the next station charging area does not belong to the electricity price peak time period according to the minimum time length, the average time length and the current time, and generating a saving suggestion scheme;
meanwhile, if the minimum length is prolonged, the corresponding charging amount of the electric automobile meets the preset requirement, no saving suggestion scheme is sent;
the working principle of the technical scheme is as follows: in order to achieve the purpose of improving the user side to meet the requirement of reducing the charging cost, the invention provides a scheme for reducing the electric charge paid by the user side in the electricity price peak period, and firstly, if the second judgment result is yes, the running distance of a charging area to be passed by the next station of the electric automobile is obtained based on an intelligent charging network system; calculating the actual driving distance of the electric automobile according to the residual cruising quantity of the electric automobile after the electric automobile reaches the current charging area and a preset error coefficient; the actual residual cruising quantity of the electric vehicle after reaching the current charging area refers to the residual cruising quantity of the current electric vehicle received in real time, and is different from the predicted residual cruising quantity after reaching the charging pile in the initial scheduling scheme; if the actual travelable distance is less than the travel distance, calculating to obtain a difference value between the travel distance and the actual travelable distance, and taking the difference value as a to-be-supplemented distance; then determining the minimum electric quantity of the electric automobile which needs to be supplemented with the charging quantity according to the distance to be supplemented; the determination method comprises the steps of calculating through a preset error coefficient and a to-be-supplemented route to obtain the minimum electric quantity, wherein the preset error coefficient is related to the model of the electric automobile because the electric automobiles with different models use different electric quantities to travel different routes; acquiring the time spent by the electric automobile when the electric automobile supplements the charge quantity of the minimum electric quantity as the minimum duration; then, acquiring the average time length required by the electric automobile to travel from the current charging area to the next station charging area; finally, judging whether the time period when the electric automobile reaches the next station charging area belongs to the electricity price peak time period or not according to the minimum time length, the average time length and the current time, and if so, generating a saving suggestion scheme; furthermore, the saving suggestion scheme is pushed like a user, when the electric vehicle is driven to a charging area pointed by the saving suggestion scheme to be charged, after the electric vehicle is driven into the charging area and is connected with a charging pile, according to the unique identifier sent by the electric vehicle, a charging scheduling scheme corresponding to the saving suggestion scheme which is planned in advance in the intelligent charging network system is obtained to replace a second scheduling scheme to control the charging pile to perform charging scheduling on the electric vehicle; if not, prolonging the minimum time length until the time period when the electric automobile arrives at the next station charging area is judged not to belong to the electricity price peak time period according to the minimum time length, the average time length and the current time, and generating a saving suggestion scheme; meanwhile, if the minimum length is prolonged, the corresponding charging amount of the electric automobile meets the preset requirement, no saving suggestion scheme is sent; the charging scheduling scheme comprises charging time of a current charging pile, charging time of a charging pile of a next station, saved money and a charging scheduling scheme corresponding to the saving proposal scheme;
the beneficial effects of the above technical scheme are: through the scheme, the requirement of a user side on saving the electric charge can be better met, and the dispatching scheme of the charging automobile is more humanized.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. An electric vehicle charging scheduling method based on an intelligent charging network system is characterized by comprising the following steps:
acquiring an initial scheduling scheme of each electric vehicle added into the intelligent charging network system;
determining the power consumption requirement and the power consumption duration of the electric automobile in each charging area according to the initial scheduling scheme;
judging whether the power consumption requirement is larger than the average load of the power grid of the corresponding charging area or not, and generating a first judgment result;
judging whether the electricity utilization duration belongs to an electricity price peak time period or not, and generating a second judgment result;
generating a second scheduling scheme according to the initial scheduling scheme, the first judgment result and the second judgment result based on an intelligent charging network system;
and performing charging scheduling on the corresponding electric automobile according to the second scheduling scheme.
2. The electric vehicle charging scheduling method based on the intelligent charging network system of claim 1, wherein the initial scheduling scheme comprises: the method comprises the steps of pre-entering a charging pile sequence, pre-arrival charging pile time, charging efficiency, residual cruising amount after arrival at the charging pile and amount to be charged.
3. The electric vehicle charging scheduling method based on the intelligent charging network system according to claim 1, wherein the determining the power demand and the power consumption duration of the electric vehicle in each charging area according to the initial scheduling scheme comprises:
screening to obtain the charging efficiency, the amount to be charged and the pre-arrival charging pile time in the initial scheduling scheme of each electric vehicle in each charging area;
calculating the electricity utilization time of each electric automobile according to the charging efficiency and the amount to be charged;
and determining the power consumption requirements of all electric vehicles in each charging area at each moment according to the pre-arrival charging pile time, the power consumption time and the charging efficiency.
4. The electric vehicle charging scheduling method based on the intelligent charging network system of claim 3, wherein the accumulated order of the power demand of each electric vehicle is determined according to the order in which the initial scheduling scheme of each electric vehicle is added to the intelligent charging network system.
5. The electric vehicle charging scheduling method based on the intelligent charging network system according to claim 1, wherein the intelligent charging network system generates a second scheduling scheme according to the initial scheduling scheme, the first determination result and the second determination result, and comprises the following steps:
s501, judging whether the electric automobile needs to generate a pre-dispatching scheme or not according to the first judgment result and the second judgment result, and generating a third judgment result; if the third determination result is negative, go to S502, if the third determination result is positive, go to S503;
s502, taking the initial scheduling scheme as a second scheduling scheme;
s503, based on the intelligent charging network system, judging whether the electric vehicle can successfully drive to the next charging area according to the initial scheduling scheme, and generating a fourth judgment result; if the fourth determination result is negative, go to S502, if the fourth determination result is positive, go to S504;
s504, generating a pre-scheduling scheme based on the intelligent charging network system;
s505, judging whether the electricity utilization duration in the pre-scheduling scheme belongs to an electricity price peak time period or not, and generating a fifth judgment result;
s506, based on the pre-scheduling scheme, generating a second scheduling scheme according to the fifth judgment result.
6. The electric vehicle charging scheduling method based on the intelligent charging network system of claim 5, wherein the determining whether the electric vehicle needs to generate a pre-scheduling scheme according to the first determination result and the second determination result comprises:
if the first judgment result is yes and/or the second judgment result is yes, the electric automobile is judged to need to generate a pre-dispatching scheme, and otherwise, the electric automobile is judged not to need to generate the pre-dispatching scheme.
7. The electric vehicle charging scheduling method based on the intelligent charging network system of claim 5, wherein the step of judging whether the electric vehicle can successfully travel to the next charging area according to the initial scheduling scheme based on the intelligent charging network system comprises:
acquiring the driving distance of a charging area to be passed by the next station of the electric automobile based on the intelligent charging network system;
determining the remaining endurance of the electric automobile after the electric automobile reaches the current charging area according to the initial scheduling scheme;
determining whether the electric automobile can successfully drive to the next charging area or not according to the driving distance, the residual endurance and a preset error coefficient;
if the driving distance is smaller than a multiplication value of the residual cruising quantity and a preset error coefficient, judging that the electric automobile can successfully drive to the next charging area;
otherwise, judging that the electric automobile cannot successfully drive to the next charging area.
8. The electric vehicle charging scheduling method based on the intelligent charging network system of claim 5, wherein the generating a pre-scheduling scheme based on the intelligent charging network system comprises:
determining a next station charging pile sequence to be driven in, a next station charging pile time to be arrived, charging efficiency, residual cruising amount after arriving at the next station charging pile and a next station to-be-charged amount based on the intelligent charging network system;
and generating a pre-dispatching scheme according to the pre-driving next station charging pile sequence, the pre-arriving next station charging pile time, the charging efficiency, the residual cruising quantity after arriving the next station charging pile and the next station to-be-charged quantity.
9. The electric vehicle charging scheduling method based on the intelligent charging network system according to claim 5, wherein the generating a second scheduling scheme according to the fifth determination result based on the pre-scheduling scheme comprises:
if the fifth judgment result is negative, taking the pre-scheduling scheme as a second scheduling scheme;
if the fifth judgment result is yes, generating a new first judgment result and a new second judgment result of the pre-scheduling scheme, taking the pre-scheduling scheme as a new initial scheduling scheme, and repeatedly executing the steps S501-S506 until a second scheduling scheme is generated.
10. The electric vehicle charging scheduling method based on the intelligent charging network system according to claim 1, further comprising:
if the second judgment result is yes, acquiring the driving distance of a charging area to be passed by at the next station of the electric automobile based on the intelligent charging network system;
calculating the actual travelable distance of the electric automobile according to the residual cruising quantity of the electric automobile after reaching the current charging area and a preset error coefficient;
if the actual distance capable of being traveled is smaller than the travel distance, calculating to obtain a difference value between the travel distance and the actual distance capable of being traveled, and taking the difference value as a distance to be supplemented;
determining the minimum electric quantity of the electric automobile needing to be supplemented with the charging quantity according to the distance to be supplemented;
acquiring the time spent by the electric automobile when the electric automobile supplements the charge quantity of the minimum electric quantity as the minimum duration;
acquiring the average time length required by the electric automobile to travel from the current charging area to the next station charging area;
judging whether the time period when the electric automobile arrives at the next station charging area belongs to the electricity price peak time period or not according to the minimum time length, the average time length and the current time, and if so, generating a saving suggestion scheme;
if not, prolonging the minimum time length until the time period when the electric automobile arrives at the next station charging area does not belong to the electricity price peak time period according to the minimum time length, the average time length and the current time, and generating a saving proposal;
meanwhile, if the minimum length is prolonged and the corresponding charging amount of the electric automobile meets the preset requirement, a saving suggestion scheme is not sent.
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