CN115663867B - Electric automobile charging scheduling method based on intelligent charging network system - Google Patents
Electric automobile charging scheduling method based on intelligent charging network system Download PDFInfo
- Publication number
- CN115663867B CN115663867B CN202211356441.6A CN202211356441A CN115663867B CN 115663867 B CN115663867 B CN 115663867B CN 202211356441 A CN202211356441 A CN 202211356441A CN 115663867 B CN115663867 B CN 115663867B
- Authority
- CN
- China
- Prior art keywords
- charging
- electric automobile
- scheduling scheme
- network system
- scheme
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- 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
-
- 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
-
- 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
Abstract
The invention provides an electric automobile charging scheduling method based on an intelligent charging network system, which comprises the following steps: acquiring an initial scheduling scheme of each electric automobile added into an intelligent charging network system; determining the electricity consumption requirement and the electricity consumption duration of the electric automobile in each charging area according to an initial scheduling scheme; judging whether the electricity demand is larger than the average load of the power grid of the corresponding charging area, and generating a first judging result; judging whether the electricity consumption time length belongs to the electricity price peak time period or not, and generating a second judging result; based on the intelligent charging network system, generating a second scheduling scheme according to the initial scheduling scheme, the first judging result and the second judging result; and carrying out 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 rapid development of science and technology, related technologies of electric vehicles are gradually perfected and mature, but how to more perfecting, rapidly and effectively determine a charging scheduling scheme of an electric vehicle is gradually becoming an important point of research of those skilled in the art, and at present, an existing solution is to optimize the charging scheduling scheme by adopting an intelligent charging network system, for example, a patent application with a publication number of CN112801447 a: the intelligent charging network system is established by controlling the charging and discharging states of the intelligent charging piles and the distributed energy sources according to the acquired difference value between the power demand of the user side and the pre-acquired average load of the power grid, and the charging scheduling scheme is optimized based on the load condition of the power grid through the intelligent charging network system.
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 optimization of a scheduling scheme is not realized in a global scope by charging piles in different areas and the actual situation of an electric vehicle.
An electric automobile charging scheduling method based on an intelligent charging network system comprises the following steps:
acquiring an initial scheduling scheme of each electric automobile added into an intelligent charging network system;
determining the electricity consumption requirement and the electricity consumption duration of the electric automobile in each charging area according to an initial scheduling scheme;
judging whether the electricity demand is larger than the average load of the power grid of the corresponding charging area, and generating a first judging result;
judging whether the electricity consumption time length belongs to the electricity price peak time period or not, and generating a second judging result;
based on the intelligent charging network system, generating a second scheduling scheme according to the initial scheduling scheme, the first judging result and the second judging result;
and carrying out charging scheduling on the corresponding electric automobile according to the second scheduling scheme.
As an embodiment of the present invention, the initial scheduling scheme includes: the method comprises the steps of pre-driving in a charging pile sequence, pre-reaching charging pile time, charging efficiency, remaining endurance after reaching a charging pile and waiting charge.
As an embodiment of the present invention, determining a power consumption requirement and a power consumption duration of an electric vehicle in each charging area according to an initial scheduling scheme includes:
screening to obtain charging efficiency, a to-be-charged amount and pre-charging pile arrival time in an initial scheduling scheme of each electric automobile in each charging area;
calculating the electricity utilization time length of each electric automobile according to the charging efficiency and the to-be-charged quantity;
and determining the electricity consumption requirements of all the electric vehicles in each charging area at each moment according to the pre-arrival charging pile time, the electricity consumption duration and the charging efficiency.
As an embodiment of the present invention, the accumulated sequence of the electricity demand of each electric vehicle is determined according to the sequence of adding the initial scheduling scheme of each electric vehicle to the intelligent charging network system.
As an embodiment of the present invention, based on an intelligent charging network system, a second scheduling scheme is generated according to an initial scheduling scheme, a first judgment result and a second judgment result, and includes the following steps:
s501, judging whether the electric automobile needs to generate a prescheduling scheme or not according to the first judgment result and the second judgment result, and generating a third judgment result; if the third judgment result is negative, go to S502, if the third judgment 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 travel to a next charging area according to an initial scheduling scheme, and generating a fourth judgment result; if the fourth judgment result is negative, go to S502, if the fourth judgment result is positive, go to S504;
s504, generating a prescheduling scheme based on the intelligent charging network system;
s505, judging whether the electricity consumption time length in the pre-dispatching scheme belongs to the 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 judging result.
As an embodiment of the present invention, determining whether the electric vehicle needs to generate the prescheduling 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, the electric automobile is judged to need to generate the pre-dispatching scheme, otherwise, the electric automobile is judged not to need to generate the pre-dispatching scheme.
As an embodiment of the present invention, based on an intelligent charging network system, according to an initial scheduling scheme, determining whether an electric vehicle can successfully travel to a next charging area includes:
acquiring the driving distance of a charging area to be passed by the next station of the electric automobile based on an intelligent charging network system;
determining the remaining endurance after the electric automobile reaches the current charging area according to an initial scheduling scheme;
determining whether the electric automobile can successfully travel to a next charging area according to the travel distance, the remaining cruising quantity and a preset error coefficient;
if the driving distance is smaller than the multiplied value of the residual cruising quantity and the preset error coefficient, judging that the electric automobile can successfully drive to the next charging area;
otherwise, judging that the electric automobile can not successfully run to the next charging area.
As an embodiment of the present invention, generating a prescheduling scheme based on an intelligent charging network system includes:
based on an intelligent charging network system, determining a next station charging pile sequence of pre-entering, a next station charging pile time of pre-arriving, charging efficiency, residual cruising quantity after arriving at the next station charging pile and a next station to-be-charged quantity;
and generating a pre-scheduling scheme according to the pre-driven next station charging pile sequence, the pre-arrived next station charging pile time, the charging efficiency, the residual cruising quantity after arriving at the next station charging pile and the next station waiting charge quantity.
As an embodiment of the present invention, based on the pre-scheduling scheme, generating a second scheduling scheme according to the fifth judgment result 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, and 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 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 reaching the current charging area and a preset error coefficient;
if the actual distance to be travelled is smaller than the distance to be travelled, calculating to obtain a difference between the distance to be travelled and the actual distance to be travelled, and taking the difference as the distance to be supplemented;
determining the minimum electric quantity of the electric vehicle needing to be supplemented with the charging quantity according to the distance to be supplemented;
the time required for acquiring the charging quantity of the electric automobile for supplementing the minimum electric quantity is taken as the minimum duration;
acquiring the average duration of the required cost of the electric automobile from the current charging area to the next charging area;
judging whether the time period when the electric automobile arrives at the next 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 proposal saving proposal;
if the electric vehicle does not belong to the charging area of the next station, the minimum time is prolonged until the time period when the electric vehicle reaches the charging area of the next station is judged not to belong to the electricity price peak time according to the minimum time, the average time and the current time, and a saving proposal scheme is generated;
meanwhile, if the charging amount corresponding to the electric automobile meets the preset requirement when the minimum duration is prolonged, the proposal of saving proposal 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 by charging piles in different areas and the actual situation of an electric vehicle in a global scope.
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 may be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a flow chart of a method for scheduling electric vehicle charging 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 an electric vehicle charging scheduling method based on an intelligent charging network system according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended 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 automobile added into an intelligent charging network system;
s102, determining the electricity consumption requirement and the electricity consumption duration of the electric automobile in each charging area according to an initial scheduling scheme;
s103, judging whether the electricity 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 consumption time length belongs to the electricity price peak time period or not, and generating a second judgment result;
s105, generating a second scheduling scheme based on the intelligent charging network system according to the initial scheduling scheme, the first judgment result and the second judgment result;
s106, carrying out charging scheduling on the corresponding electric automobile according to the second scheduling scheme;
the working principle of the technical scheme is as follows: firstly, the intelligent charging network system and the user side are connected through a network, the user side is preferably built in each electric automobile and is used for acquiring real-time parameters of the electric automobile, meanwhile, the intelligent charging network system comprises a charging dispatching management platform, an intelligent charging pile cluster, a power grid and distributed energy sources, the charging dispatching management platform is connected with the intelligent charging pile cluster, the power grid and the distributed energy sources in a communication mode, the intelligent charging pile cluster and the distributed energy sources are connected with the power grid, when the intelligent charging network system starts to operate, firstly, the intelligent charging network system acquires initial parameters of each electric automobile sent by a plurality of user sides, then the intelligent charging network system generates an initial dispatching scheme of the electric automobile according to the initial parameters and built-in preset integration logic, after the initial dispatching scheme is obtained, the intelligent charging network system determines the electricity consumption requirement and the electricity consumption time length of the electric vehicles in each charging area according to the transmission positioning and the initial parameters corresponding to the initial dispatching scheme, then the intelligent charging network system compares the electricity consumption requirement in each area with the average load of the pre-acquired power grid corresponding to the area to generate a first judgment result, judges whether the electricity consumption time length of each electric vehicle belongs to the electricity price peak time period or not, generates a second judgment result, the electricity consumption time length refers to the charging time period, then generates a second dispatching scheme based on the intelligent charging network system according to the initial dispatching scheme, the first judgment result and the second judgment result, and after the electric vehicles enter the charging area and are connected with the charging piles, according to the unique identification sent by the electric vehicles, acquiring a second scheduling scheme which is planned in advance in the intelligent charging network system to control the charging pile to perform charging scheduling on the electric automobile; further, the second scheduling scheme is displayed like a user terminal through a network connection channel;
the beneficial effects of the technical scheme are as follows: the method is beneficial to solving the problem that the prior art does not realize optimization of the dispatching scheme by charging piles and actual conditions of the electric vehicles in different areas in a global scope, and the charging dispatching scheme can be adjusted according to the actual conditions in real time before the electric vehicles enter the charging area for charging, so that the effective rate of the charging dispatching scheme is improved, and the charging dispatching scheme can meet the requirements of a user side and a charging pile side.
In one embodiment, the initial scheduling scheme includes: the method comprises the steps of pre-driving in a charging pile sequence, pre-reaching a charging pile time, charging efficiency, remaining cruising quantity after reaching the charging pile and a waiting charge quantity;
the working principle of the technical scheme is as follows: the method comprises the steps that an initial scheduling scheme is determined by acquiring real-time parameters of an electric vehicle, wherein the real-time parameters comprise a recent travel route, a running average speed, electric quantity parameters of the electric vehicle and the like, after the intelligent charging network system receives the real-time parameters, the intelligent charging network system predicts a destination of the electric vehicle by carrying out big data analysis on the recent travel route, various schemes exist in the prior art of the prediction method, the schemes are omitted, a pre-entering charging pile sequence is determined according to the predicted destination, the pre-reaching charging pile time is predicted by the running average speed, the real-time acquisition time and the travel route, and the charging efficiency of the electric vehicle and the residual cruising quantity and the waiting charge quantity after the electric vehicle reaches the charging pile are determined by the electric vehicle per se and the travel consumption prediction;
the beneficial effects of the technical scheme are as follows: by establishing the real-time connection between the intelligent charging network system and the user side, the parameter information of the user side is acquired in real time to construct an initial scheduling scheme, which is beneficial to preliminarily acquiring the to-be-scheduled condition of the user side through the initial scheduling scheme, so that a corresponding charging area is prepared in advance, and an invalid charging scheduling scheme caused by the conditions of preemption of the charging side and the like is prevented.
In one embodiment, determining the electricity demand and the electricity duration of the electric vehicle in each charging area according to an initial scheduling scheme includes:
screening to obtain charging efficiency, a to-be-charged amount and pre-charging pile arrival time in an initial scheduling scheme of each electric automobile in each charging area;
calculating the electricity utilization time length of each electric automobile according to the charging efficiency and the to-be-charged quantity;
determining the electricity consumption requirements of all electric vehicles in each charging area at each moment according to the pre-arrival charging pile time, the electricity consumption time and the charging efficiency;
the working principle of the technical scheme is as follows: according to an initial scheduling scheme, determining the electricity consumption requirement and the electricity consumption duration of the electric vehicles in each charging area, and screening to obtain the charging efficiency, the to-be-charged amount and the pre-arrival charging pile time of each electric vehicle in the initial scheduling scheme of each charging area; then, according to the charging efficiency and the to-be-charged quantity, calculating to obtain the electricity duration of each electric automobile; the calculation method is preferablyWherein time is the electricity consumption time, efficiency is the charging efficiency, and electric is the to-be-charged amount; determining the electricity consumption requirements of all electric vehicles in each charging area at each moment according to the pre-arrival charging pile time, the electricity consumption time and the charging efficiency;
the beneficial effects of the technical scheme are as follows: the method has the advantages that the electricity consumption time length and the electricity consumption requirement of each electric automobile are rapidly determined, the corresponding charging area is prepared in advance, and the problem of exceeding of the power grid load is prevented.
In one embodiment, determining an accumulated sequence of electricity requirements of each electric vehicle according to a sequence of adding an initial scheduling scheme of each electric vehicle to the intelligent charging network system;
the beneficial effects of the technical scheme are as follows: and determining the accumulated sequence of the electricity consumption demands of each electric automobile according to the time sequence of the initial scheduling scheme of each electric automobile added into the intelligent charging network system, and emptying the corresponding electricity consumption demands of the electric automobile after the electric automobiles are butted at the charging piles, so that the method is beneficial to effectively controlling the actual power grid average load of each charging area.
Referring to fig. 2, in one embodiment, based on the intelligent charging network system, a second scheduling scheme is generated according to an initial scheduling scheme, a first determination result and a second determination result, and the method includes the following steps:
s501, judging whether the electric automobile needs to generate a prescheduling scheme or not according to the first judgment result and the second judgment result, and generating a third judgment result; if the third judgment result is negative, go to S502, if the third judgment 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 travel to a next charging area according to an initial scheduling scheme, and generating a fourth judgment result; if the fourth judgment result is negative, go to S502, if the fourth judgment result is positive, go to S504;
s504, generating a prescheduling scheme based on the intelligent charging network system;
s505, judging whether the electricity consumption time length in the pre-dispatching scheme belongs to the electricity price peak time period or not, and generating a fifth judgment result;
s506, generating a second scheduling scheme according to a fifth judging result based on the pre-scheduling scheme;
the working principle and beneficial effects of the technical scheme are as follows: firstly, judging whether the electric automobile needs to generate a pre-scheduling 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, based on the intelligent charging network system, whether the electric vehicle can successfully travel to the next charging area is judged according to the initial scheduling scheme, and a fourth judgment result is generated; if the fourth judgment result is negative, the initial scheduling scheme is used as the second scheduling scheme, and if the fourth judgment result is negative, a pre-scheduling scheme is generated based on the intelligent charging network system; judging whether the electricity consumption time length in the pre-dispatching scheme belongs to the electricity price peak time period or not, and generating a fifth judging result; finally, based on the pre-scheduling scheme, generating a second scheduling scheme according to a fifth judging result; according to the scheme, the optimization of the dispatching scheme is achieved through the fact that the charging piles and the electric vehicles in different areas are charged in the overall range, the initial charging dispatching scheme of the electric vehicles is preliminarily determined according to the fact of the electric vehicles, the initial charging dispatching scheme of the electric vehicles is adjusted through the charging states (including power grid load, charging cost and the like) of the charging piles in different areas in the overall range (a plurality of charging areas), the user requirements can be met in terms of cost, compared with the prior art, the electric vehicles can know the optimal dispatching scheme of the electric vehicles without entering the corresponding charging areas, the corresponding charging piles can be prepared (locked and other operations) in advance through the intelligent charging network system before the users enter the corresponding charging areas, and the dispatching method is favorable for managing the global electric vehicles.
In one embodiment, determining whether the electric vehicle needs to generate the prescheduling 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 technical scheme are as follows: according to the scheme, whether the pre-scheduling scheme is generated is judged together according to the willingness of the user side to save the electric charge and the willingness of the charging pile side to reduce the load peak-valley difference of the power grid, and meanwhile, the willingness of the user side and the charging pile side is considered, so that the overall effect of optimizing the charging scheduling scheme is improved.
In one embodiment, based on the intelligent charging network system, according to an initial scheduling scheme, determining whether the electric vehicle can successfully travel to a next charging area includes:
acquiring the driving distance of a charging area to be passed by the next station of the electric automobile based on an intelligent charging network system;
determining the remaining endurance after the electric automobile reaches the current charging area according to an initial scheduling scheme;
determining whether the electric automobile can successfully travel to a next charging area according to the travel distance, the remaining cruising quantity and a preset error coefficient;
if the driving distance is smaller than the multiplied value of the residual cruising quantity 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 run to the next charging area;
the working principle of the technical scheme is as follows: firstly, acquiring a running distance of a charging area to be passed by an electric automobile based on an intelligent charging network system, wherein the acquiring method is preferably based on a running route and a real-time position of the electric automobile and navigation data acquired by the intelligent charging network system, and jointly calculating to acquire the shortest distance from a current charging area to the charging area to be passed by the electric automobile as the running distance, then determining the residual cruising amount of the electric automobile after the electric automobile reaches the current charging area according to an initial scheduling scheme, wherein the residual cruising amount actually refers to the actual cruising amount of the current electric automobile, and then determining whether the electric automobile can successfully run to the next charging area according to the running distance, the residual cruising amount and a preset error coefficient, wherein if the running distance is smaller than a multiplied value of the residual cruising amount and the preset error coefficient, then judging that the electric automobile can successfully run to the next charging area; otherwise, judging that the electric automobile cannot successfully run to the next charging area;
the beneficial effects of the technical scheme are as follows: through the scheme, whether the current electric quantity condition of the electric automobile meets the charging scheduling scheme for saving electric charge is judged, the invalid charging scheduling scheme caused by insufficient electric quantity is prevented from being generated by calculation in advance, and the effective rate of the scheduling scheme of the heavy-duty electric automobile is improved.
In one embodiment, generating a prescheduling scheme based on an intelligent charging network system includes:
based on an intelligent charging network system, determining a next station charging pile sequence of pre-entering, a next station charging pile time of pre-arriving, charging efficiency, residual cruising quantity after arriving at the next station charging pile and a next station to-be-charged quantity;
generating a pre-scheduling scheme according to the pre-driven next station charging pile sequence, the pre-arrived next station charging pile time, the charging efficiency, the residual cruising quantity after arriving at the next station charging pile and the next station to-be-charged quantity;
the working principle and beneficial effects of the technical scheme are as follows: determining a next charging pile sequence of the pre-driving-in station based on the intelligent charging network system, wherein the determining method is determined based on a travel 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 a control of the service condition of each charging pile, and the service condition of each charging pile can be transmitted by the charging pile of the intelligent charging network system; then determining the pre-arrived time, charging efficiency, residual cruising quantity after arriving at the next station charging pile and the method for waiting for charging quantity of the next station, wherein the method is the same as the method for acquiring the initial scheduling scheme; and integrating the pre-driven next station charging pile sequence, the pre-arrived next station charging pile time, the charging efficiency, the residual cruising quantity after arriving at the next station charging pile and the next station waiting charging quantity to generate a pre-scheduling scheme.
Referring to fig. 3, in one embodiment, generating a second scheduling scheme according to a fifth determination result based on the pre-scheduling scheme includes:
s5061, judging a fifth judging result, if the fifth judging result is yes, turning to S5062, and if the fifth judging result is no, turning to S5063;
s5062, generating a new first judgment result and a new second judgment result of the pre-scheduling scheme, and turning to S5064 by taking the pre-scheduling scheme as a new initial scheduling scheme;
s5063, taking the pre-scheduling scheme as a second scheduling scheme;
s5064, repeatedly executing the steps S501-S506;
the beneficial effects of the technical scheme are as follows: according to the requirements of the user side and the requirements of the charging pile side, the charging scheduling scheme is adjusted in real time, so that the requirements of the user side and the charging scheduling scheme can be met simultaneously, and the practicability of the charging scheduling scheme is improved.
In one embodiment, the electric automobile charging scheduling method based on the intelligent charging network system further comprises the following steps:
if the second judgment result is yes, 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;
calculating the actual driving 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 to be travelled is smaller than the distance to be travelled, calculating to obtain a difference between the distance to be travelled and the actual distance to be travelled, and taking the difference as the distance to be supplemented;
determining the minimum electric quantity of the electric vehicle needing to be supplemented with the charging quantity according to the distance to be supplemented;
the time required for acquiring the charging quantity of the electric automobile for supplementing the minimum electric quantity is taken as the minimum duration;
acquiring the average duration of the required cost of the electric automobile from the current charging area to the next charging area;
judging whether the time period when the electric automobile arrives at the next 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 proposal saving proposal;
if the electric vehicle does not belong to the charging area of the next station, the minimum time is prolonged until the time period when the electric vehicle reaches the charging area of the next station is judged not to belong to the electricity price peak time according to the minimum time, the average time and the current time, and a saving proposal scheme is generated;
meanwhile, if the charging quantity corresponding to the electric automobile meets the preset requirement when the minimum duration is prolonged, a saving proposal is not 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 purpose of reducing the charge cost, the invention provides a scheme for reducing the charge cost paid by the user side in the peak period of the charge price, and firstly, if the second judgment result is yes, acquiring the driving distance of a charging area to be passed by the next station of the electric automobile based on an intelligent charging network system; calculating the actual running 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; the residual cruising amount of the electric vehicle after reaching the current charging area actually refers to the residual cruising amount of the current electric vehicle received in real time, and is different from the residual cruising amount predicted in the initial scheduling scheme after reaching the charging pile; if the actual distance to be travelled is smaller than the distance to be travelled, calculating to obtain a difference between the distance to be travelled and the actual distance to be travelled, and taking the difference as the distance to be supplemented; then determining the minimum electric quantity of the electric vehicle, which needs to be supplemented with the charging quantity, according to the distance to be supplemented; the determining method comprises the steps of calculating through a preset error coefficient and a to-be-supplemented path to obtain the minimum electric quantity, wherein the preset error coefficient is related to the type of the electric automobile because the electric automobiles of different types use different electric quantity to travel along different paths; the time required for acquiring the charging quantity of the electric automobile for supplementing the minimum electric quantity is taken as the minimum duration; acquiring the average duration of the required cost of the electric automobile from the current charging area to the next charging area; finally, judging whether the time period when the electric automobile arrives at the next 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 proposal saving proposal; further, pushing the saving proposal to a user, and when the electric vehicle runs to a charging area pointed by the saving proposal for charging, after the electric vehicle runs into the charging area and is connected with the charging pile, acquiring a charging scheduling scheme corresponding to the saving proposal which is planned in advance in the intelligent charging network system according to a unique identifier sent by the electric vehicle to replace a second scheduling scheme to control the charging pile to perform charging scheduling on the electric vehicle; if the electric vehicle does not belong to the charging area of the next station, the minimum time is prolonged until the time period when the electric vehicle reaches the charging area of the next station is judged not to belong to the electricity price peak time according to the minimum time, the average time and the current time, and a saving proposal scheme is generated; meanwhile, if the charging quantity corresponding to the electric automobile meets the preset requirement when the minimum duration is prolonged, a saving proposal is not sent; the charge schedule scheme comprises a current charge pile charge time length, a next charge pile charge time length, a charge amount saving proposal scheme and a charge schedule scheme corresponding to the charge proposal scheme;
the beneficial effects of the technical scheme are as follows: through the scheme, the requirements of the user side on electricity fee saving can be better met, and the scheduling scheme of the charging automobile is more humanized.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (7)
1. An electric automobile 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 automobile added into an intelligent charging network system;
determining the electricity consumption requirement and the electricity consumption duration of the electric automobile in each charging area according to the initial scheduling scheme;
judging whether the electricity demand is larger than the average load of the power grid of the corresponding charging area, and generating a first judging result;
judging whether the electricity consumption time length belongs to the electricity price peak time period or not, and generating a second judging result;
generating a second scheduling scheme based on the intelligent charging network system according to the initial scheduling scheme, the first judging result and the second judging result;
charging and scheduling the corresponding electric automobile according to the second scheduling scheme;
the intelligent charging network system-based second scheduling scheme is generated according to the initial scheduling scheme, the first judging result and the second judging 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 judgment result is negative, turning to S502, and if the third judgment result is positive, turning 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 travel to a next charging area according to the initial scheduling scheme, and generating a fourth judgment result; if the fourth judgment result is negative, turning to S502, and if the fourth judgment result is positive, turning to S504;
s504, generating a pre-scheduling scheme based on the intelligent charging network system;
s505, judging whether the electricity consumption time length in the pre-dispatching scheme belongs to the electricity price peak time period or not, and generating a fifth judging result;
s506, generating a second scheduling scheme according to the fifth judging result based on the pre-scheduling scheme;
the step of judging whether the electric automobile needs to generate a pre-scheduling scheme according to the first judgment result and the second judgment result comprises the following steps:
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 generating a second scheduling scheme based on the pre-scheduling scheme according to the fifth judging result includes:
if the fifth judgment result is negative, the pre-scheduling scheme is used 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.
2. The method for scheduling electric vehicle charging based on the intelligent charging network system according to claim 1, wherein the initial scheduling scheme comprises: the method comprises the steps of pre-driving in a charging pile sequence, pre-reaching charging pile time, charging efficiency, remaining endurance after reaching a charging pile and waiting charge.
3. The method for charging and dispatching the electric automobile based on the intelligent charging network system according to claim 1, wherein the determining the electricity demand and the electricity duration of the electric automobile in each charging area according to the initial dispatching scheme comprises:
screening to obtain charging efficiency, a to-be-charged amount and pre-charging pile arrival time in an initial scheduling scheme of each electric automobile in each charging area;
calculating the electricity utilization time length of each electric automobile according to the charging efficiency and the to-be-charged quantity;
and determining the electricity consumption requirements of all the electric vehicles in each charging area at each moment according to the pre-arrival charging pile time, the electricity consumption duration and the charging efficiency.
4. The electric vehicle charging scheduling method based on the intelligent charging network system according to claim 3, wherein the accumulated sequence of the electricity demand of each electric vehicle is determined according to the sequence of adding the initial scheduling scheme of each electric vehicle to the intelligent charging network system.
5. The method for charging and dispatching the electric automobile based on the intelligent charging network system according to claim 1, wherein the step of judging whether the electric automobile can successfully travel to the next charging area based on the intelligent charging network system according to the initial dispatching scheme comprises the following steps:
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 after the electric automobile reaches the current charging area according to the initial scheduling scheme;
determining whether the electric automobile can successfully travel to a next charging area according to the travel distance, the residual cruising quantity and a preset error coefficient;
if the driving distance is smaller than the multiplied value of the residual continuous voyage and a preset error coefficient, judging that the electric automobile can successfully drive to a next charging area;
otherwise, judging that the electric automobile can not successfully run to the next charging area.
6. The method for charging and scheduling an electric vehicle based on an intelligent charging network system according to claim 1, wherein the generating a prescheduling scheme based on the intelligent charging network system comprises:
determining a next station charging pile sequence of pre-entering, a next station charging pile time of pre-arrival, charging efficiency, remaining cruising quantity after the next station charging pile is reached and a next station to-be-charged quantity based on the intelligent charging network system;
and generating a pre-scheduling scheme according to the pre-driven next station charging pile sequence, the pre-arrived next station charging pile time, the charging efficiency, the residual cruising quantity after arriving at the next station charging pile and the next station to-be-charged quantity.
7. 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 the next station of the electric automobile 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 reaching the current charging area and a preset error coefficient;
if the actual distance to be travelled is smaller than the distance to be travelled, calculating to obtain a difference between the distance to be travelled and the actual distance to be travelled as a distance to be supplemented;
determining the minimum electric quantity of the electric vehicle, which needs to be supplemented with the charging quantity, according to the distance to be supplemented;
the time required by the electric vehicle to supplement the charging amount of the minimum electric quantity is obtained and is taken as the minimum duration;
acquiring the average duration of the required cost of the electric automobile from the current charging area to the next charging area;
judging whether the time period when the electric automobile arrives at the next 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 proposal scheme;
if the electric vehicle does not belong to the charging area of the next station, the minimum time is prolonged until the time period when the electric vehicle reaches the charging area of the next station is judged not to belong to the electricity price peak time according to the minimum time, the average time and the current time, and a proposal saving scheme is generated;
meanwhile, if the charging amount corresponding to the electric automobile meets the preset requirement when the minimum duration is prolonged, a saving proposal scheme is not sent.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211356441.6A CN115663867B (en) | 2022-11-01 | 2022-11-01 | Electric automobile charging scheduling method based on intelligent charging network system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211356441.6A CN115663867B (en) | 2022-11-01 | 2022-11-01 | Electric automobile charging scheduling method based on intelligent charging network system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115663867A CN115663867A (en) | 2023-01-31 |
| CN115663867B true CN115663867B (en) | 2023-09-26 |
Family
ID=84994442
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211356441.6A Active CN115663867B (en) | 2022-11-01 | 2022-11-01 | Electric automobile charging scheduling method based on intelligent charging network system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115663867B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116562602B (en) * | 2023-07-12 | 2023-10-24 | 国网安徽省电力有限公司经济技术研究院 | Electric automobile participation demand response optimization operation method |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103683424A (en) * | 2013-12-17 | 2014-03-26 | 清华大学 | Electric vehicle charging station sequential charging control method based on dynamic time-of-use electricity price |
| CN107330564A (en) * | 2017-07-18 | 2017-11-07 | 国家电网公司 | A kind of electric automobile Optimal Operation Model based on the double yardsticks of space-time |
| CN108879746A (en) * | 2018-06-28 | 2018-11-23 | 国电南瑞科技股份有限公司 | Centralized hybrid energy-storing control method for coordinating based on Multiple Time Scales demand response |
| CN109034648A (en) * | 2018-08-13 | 2018-12-18 | 华南理工大学广州学院 | A kind of electric car cluster demand response potential evaluation method |
| CN110210777A (en) * | 2019-06-11 | 2019-09-06 | 上海电力学院 | A kind of distribution network reliability evaluation method containing micro-capacitance sensor and electric automobile charging station |
| CN110570050A (en) * | 2019-09-25 | 2019-12-13 | 国网浙江省电力有限公司经济技术研究院 | Road-network-vehicle-related electric vehicle charging guiding method |
| CN110598904A (en) * | 2019-08-08 | 2019-12-20 | 华北电力大学 | Vehicle network energy interaction optimization method considering renewable energy consumption under market environment |
| CN113162152A (en) * | 2019-05-31 | 2021-07-23 | 上海电享信息科技有限公司 | Intelligent charging method for charging pile and intelligent charging pile system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106026152B (en) * | 2016-05-19 | 2017-06-06 | 合肥工业大学 | A kind of electric automobile accesses the discharge and recharge dispatching method of micro-capacitance sensor |
-
2022
- 2022-11-01 CN CN202211356441.6A patent/CN115663867B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103683424A (en) * | 2013-12-17 | 2014-03-26 | 清华大学 | Electric vehicle charging station sequential charging control method based on dynamic time-of-use electricity price |
| CN107330564A (en) * | 2017-07-18 | 2017-11-07 | 国家电网公司 | A kind of electric automobile Optimal Operation Model based on the double yardsticks of space-time |
| CN108879746A (en) * | 2018-06-28 | 2018-11-23 | 国电南瑞科技股份有限公司 | Centralized hybrid energy-storing control method for coordinating based on Multiple Time Scales demand response |
| CN109034648A (en) * | 2018-08-13 | 2018-12-18 | 华南理工大学广州学院 | A kind of electric car cluster demand response potential evaluation method |
| CN113162152A (en) * | 2019-05-31 | 2021-07-23 | 上海电享信息科技有限公司 | Intelligent charging method for charging pile and intelligent charging pile system |
| CN110210777A (en) * | 2019-06-11 | 2019-09-06 | 上海电力学院 | A kind of distribution network reliability evaluation method containing micro-capacitance sensor and electric automobile charging station |
| CN110598904A (en) * | 2019-08-08 | 2019-12-20 | 华北电力大学 | Vehicle network energy interaction optimization method considering renewable energy consumption under market environment |
| CN110570050A (en) * | 2019-09-25 | 2019-12-13 | 国网浙江省电力有限公司经济技术研究院 | Road-network-vehicle-related electric vehicle charging guiding method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115663867A (en) | 2023-01-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2022242579A1 (en) | Electric-quantity-based path planning method for electric vehicle compatible with energy storage charging pile | |
| CN108955711B (en) | Navigation method applied to intelligent charging and discharging of electric automobile | |
| CN109934391B (en) | Intelligent scheduling method for pure electric bus | |
| US10953764B2 (en) | Method and system for charging motor vehicles at public charging stations | |
| CN112193116B (en) | Electric vehicle charging optimization guiding strategy considering reward mechanism | |
| CN106207290A (en) | A kind of charging electric vehicle aid decision optimization method based on multi-source data | |
| JP7462512B2 (en) | Systems and methods for mobile charging of electric vehicles | |
| EP2562514A1 (en) | Information provision device and information provision method | |
| CN109670674B (en) | Electric automobile space-time distribution charging scheduling method considering traffic network-power distribution network coupling | |
| CN102063691A (en) | Method and system for intelligently scheduling vehicles | |
| CN111267667B (en) | Intelligent charging method and system for electric automobile highway | |
| US20210163041A1 (en) | Vehicle dispatch management device and vehicle dispatch management method | |
| CN115663867B (en) | Electric automobile charging scheduling method based on intelligent charging network system | |
| CN104716706A (en) | Charging-reservation-based electric automobile charging station charging management method | |
| CN111598646A (en) | Electric taxi charging navigation method with reservation function | |
| Yang et al. | Electric-vehicle navigation system based on power consumption | |
| CN113386770B (en) | Charging station data sharing-based dynamic planning method for charging path of electric vehicle | |
| CN111898909A (en) | Unmanned bus dispatching method based on real-time requirements | |
| CN110738364A (en) | electric automobile charging navigation information interaction platform | |
| CN113077162A (en) | Multi-vehicle type customized bus area scheduling method facing real-time requirements | |
| CN112562206A (en) | Intelligent scheduling method, system and server for new energy shared automobile | |
| CN106096793A (en) | The charging electric vehicle decision method that periodicity based on congestion aware optimizes | |
| CN116720714B (en) | Intelligent scheduling method and device for charging and power changing of electric vehicle | |
| CN110871697B (en) | Wireless charging system and method for electric bus station | |
| CN115879658A (en) | Customized bus route optimization method, system, storage medium and equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |