Management method and management system of charging equipment

Abstract

The invention relates to the technical field of electric vehicle charging management, in particular to a management method and a management system for charging equipment. In order to solve the problem of how to plan the number of charging equipment according to actual requirements under the condition that the charging equipment in a parking lot is fully loaded, the invention provides a charging equipment management method, which comprises the following steps of: when the charging equipment in the chargeable parking lot reaches the full load, marking the chargeable parking lot as a target parking lot, recording the time period when the charging equipment reaches the full load as a target time period; according to the first target user and the second target user, calculating the theoretical maximum demand quantity of the charging equipment of the target parking lot in the target time period; calculating a correction coefficient of the target parking lot according to the time ratio and the average utilization rate, and correcting the theoretical maximum demand quantity according to the correction coefficient to obtain a corrected maximum demand quantity; and adjusting the number of the charging devices in the target parking lot according to the corrected maximum demand quantity.

Description

Technical Field

[0001] The present invention relates to the field of electric vehicle charging management and calculation, and in particular to a management method and management system for charging equipment. Background Art

[0002] With the development of society, the number of electric vehicles is increasing day by day. Charging equipment, as an important supporting facility for electric vehicles, is usually distributed in various parking lots. However, when planning the number of charging equipment in parking lots, it is difficult to accurately predict the growth rate and charging demand of electric vehicles. There may be a situation where charging equipment is in short supply, causing electric vehicle users to wait too long or even be unable to charge. However, in the case of "cars without charging piles", blindly pursuing the addition of charging equipment without considering the impact of other factors may cause a large number of charging equipment to be idle. Therefore, in order to take into account the charging experience of electric vehicle users and the reasonable allocation of charging equipment resources, it is urgent and of great practical significance to rationally plan and construct charging equipment in parking lots. Summary of the invention

[0003] The problem solved by the present invention is: how to plan the number of charging devices according to actual demand when the parking lot is fully loaded with charging devices.

[0004] To solve the above problems, an embodiment of the present invention provides a charging equipment management method, which includes: obtaining all parking lots with charging equipment in a target area, recording them as rechargeable parking lots, and obtaining the usage of the charging equipment in each rechargeable parking lot; when the charging equipment in the rechargeable parking lot reaches full load, recording the rechargeable parking lot as a target parking lot, and recording the time period when the charging equipment reaches full load as a target time period; counting the entry and exit of electric vehicles in the target parking lot within the target time period, and marking electric vehicles that do not perform charging operations after entering the target parking lot as first target users; obtaining electric vehicles that potentially go to the target parking lot for charging within the target time period to obtain second target users; calculating the theoretical maximum demand for charging equipment in the target parking lot within the target time period based on the first target users and the second target users; obtaining the average usage rate of the charging equipment in the target parking lot within the first time period, and the time proportion of the target time period relative to the first time period; calculating the correction coefficient of the target parking lot based on the time proportion and the average usage rate, and correcting the theoretical maximum demand based on the correction coefficient to obtain the corrected maximum demand; and adjusting the number of charging equipment in the target parking lot based on the corrected maximum demand.

[0005] Compared with the prior art, the technical effects achieved by adopting the technical solution are as follows: the setting of the target parking lot can quickly obtain the parking lot with full load, accurately screen out the objects that need to be managed in quantity in the target area, and understand the charging peak period of the target parking lot through the target time period, obtain the first target user and the second target user, and comprehensively consider the electric vehicles that have not performed charging operations in the target parking lot within the target time period and the electric vehicles that potentially go to the target parking lot for charging within the target time, so as to obtain a theoretical maximum demand that is more in line with the actual situation. The acquisition of the average utilization rate and the time proportion is helpful to obtain the daily use of the charging equipment in the target parking lot, and the correction coefficient is calculated in combination with the daily use to ensure that after the theoretical maximum demand is obtained, the number of charging equipment is managed according to the comprehensive needs of the actual situation, thereby improving the accuracy and rationality of the target parking lot's management of the number of charging equipment.

[0006] In one embodiment of the present invention, statistics are collected on the entry and exit of electric vehicles in a target parking lot within a target time period, and electric vehicles that enter the target parking lot but do not perform charging operations are marked as first target users, specifically including: acquiring a video image of the interior of the target parking lot, and observing the driving path of the electric vehicle through the video image; judging whether the electric vehicle is willing to charge based on the driving path and the layout of the charging equipment; if so, marking the electric vehicle as the first target user.

[0007] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: by acquiring video images, it is possible to accurately understand the electric vehicles that intend to charge in the target parking lot within the target time, and by acquiring the driving path and the layout of the charging equipment, the number of the first target users can be counted more accurately.

[0008] In one embodiment of the present invention, electric vehicles that potentially go to a target parking lot for charging within a target time period are obtained to obtain a second target user, specifically including: obtaining an electric vehicle that sends a charging request to the target parking lot, recorded as a first potential user; obtaining an alternative parking lot corresponding to the target parking lot, obtaining road traffic information outside the target parking lot within the target time period, and determining a second potential user who goes to the target parking lot based on the road traffic information and image data in the alternative parking lot; and obtaining the second target user based on the first potential user and the second potential user.

[0009] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: by obtaining electric vehicles that want to go to the target parking lot for charging in advance, the number of the first potential users is made more accurate; the acquisition of alternative parking lots can accurately obtain parking lots that can perform charging operations around the target parking lot; the second potential users are screened through the alternative parking lots, so that the acquisition range of the second potential users is more in line with the geographical location of the target parking lot; through the road traffic information outside the target parking lot, the vehicles passing through the target parking lot within the target time period can be obtained; when the electric vehicle does not send a clear charging request to the target parking lot, the charging willingness of the electric vehicle can also be judged, so that the number of the second potential users can be obtained more accurately.

[0010] In one embodiment of the present invention, the second target user is obtained based on the first potential user and the second potential user, specifically including: recording the first potential user who continues to look for the next rechargeable parking lot when the target parking lot sends a full-load signal to the first potential user as the first actual user; recording the electric vehicles that pass the target parking lot within the target time period and are charged in the alternative parking lot within the target time period as the second actual user; obtaining the second potential user who passes the target parking lot within the target time period and whose destination is the alternative parking lot and who does not charge within the target time period through the navigation system, and recording it as the second actual user; and obtaining the second target user through the first actual user and the second actual user.

[0011] Compared with the prior art, the technical effect achieved by adopting the technical solution is as follows: using the full load signal as the target parking lot and the interactive information of the electric vehicle as the basis for judgment, it is helpful to lock in the electric vehicle that still needs to be charged when the target parking lot is fully loaded, thereby improving the accuracy of the screening of the first potential user, ensuring that the first actual user obtained is more in line with the actual situation, and using the electric vehicle's travel destination as the basis for judgment, without having to judge the second actual user by whether to charge, and can accurately screen out electric vehicles with charging intentions, making the number of second target users more accurate.

[0012] In one embodiment of the present invention, the theoretical maximum demand for charging equipment in the target parking lot within the target time period is calculated based on the first target user and the second target user, specifically including: obtaining the daily number of the first target user within the monitoring period, recorded as the first number; obtaining the daily number of the second target user within the monitoring period, recorded as the second number; obtaining a specific date within the monitoring period; eliminating the first number and the second number on the specific date within the monitoring period, and recording the eliminated first number and the second number as the first target number and the second target number, respectively; adding the total number of charging equipment in the target parking lot, the daily first target number, and the daily second target number to obtain the daily maximum demand within the monitoring period; screening out the maximum value of the maximum demand to obtain the theoretical maximum demand.

[0013] Compared with the existing technology, the technical effects achieved by adopting this technical solution are as follows: the setting of the monitoring period can obtain the variation range of the theoretical maximum demand in the long term, ensuring the universality of the results obtained; the acquisition of specific dates can help to exclude dates when the first and second numbers surge due to special circumstances; the acquisition of the first target number and the second target number can eliminate data on a surge in the number of target users due to special circumstances, ensuring that the first and second numbers obtained are more in line with the daily load status of the target parking lot, making the obtained theoretical maximum demand more reasonable.

[0014] In one embodiment of the present invention, the average utilization rate of the charging equipment in the target parking lot in the first time period and the time proportion of the target time period relative to the first time period are obtained, specifically including: obtaining the start time and end time of each charging of each charging device in the first time period to obtain the charging time of the charging device; obtaining the available time of the charging device in the first time period; calculating the average utilization rate by the charging time and the available time; obtaining the target time of the target time period in the first time period, and calculating the time proportion according to the target time and the available time of the first time period.

[0015] Compared with the existing technology, the technical effects achieved by adopting this technical solution are as follows: the acquisition of charging time and available time can obtain the actual usage of the charging equipment in the target parking lot, which is helpful to evaluate the demand potential of the charging equipment in the target parking lot; the acquisition of the average usage rate can obtain the average usage of the charging equipment in the target parking lot; combined with the time proportion, the fluctuation of the full load and daily load of the charging equipment in the target parking lot can be determined, and the necessity of planning the charging equipment inside the target parking lot can be obtained, which is helpful to plan the number of charging equipment more reasonably.

[0016] In one embodiment of the present invention, the average usage rate is calculated by charging time and available time, specifically including: adding the charging time of each charging device to obtain the total charging time of the charging device; adding the available time of the charging device to obtain the total available time of the charging device; the calculation formula of the average usage rate is as follows: ; in, is the average utilization rate, For the The charging time of each charging device, N is the total number of charging devices, For the The usable time of each charging device.

[0017] Compared with the prior art, the technical effect achieved by adopting this technical solution is as follows: the available time of the charging equipment is obtained, and considering the maintenance and damage of the charging equipment, the obtained data is more in line with the actual situation, thereby improving the accuracy of the data.

[0018] In one embodiment of the present invention, a correction coefficient of the target parking lot is calculated according to the time proportion and the average utilization rate, and the theoretical maximum demand is corrected according to the correction coefficient to obtain a corrected maximum demand, specifically including: dividing the correction coefficient into two different levels according to the time proportion; when the time proportion is less than the first threshold, the correction coefficient has a first correction value; when the time proportion is greater than or equal to the first threshold, the correction coefficient is calculated according to the time proportion and the average utilization rate to obtain a second correction value; the theoretical maximum demand is corrected according to the first correction value and the second correction value to obtain a corrected maximum demand.

[0019] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: different levels of settings fully consider the impact of the time proportion of the full load of charging equipment in the target parking lot, and determine different correction coefficients based on different time proportions. After obtaining the theoretical maximum demand, the number of charging equipment that needs to be adjusted for the target parking lot is further determined based on the correction coefficient, which improves the rationality of the management of the number of charging equipment in the target parking lot, helps to improve resource utilization and reduce construction and operation costs.

[0020] In one embodiment of the present invention, the number of charging devices in the target parking lot is adjusted according to the corrected maximum demand, specifically including: when the corrected maximum demand is greater than the total number of charging devices, the number of charging devices is added to the corrected maximum demand; when the corrected maximum demand is equal to the total number of charging devices, the number of charging devices remains unchanged.

[0021] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: the number of charging equipment in the target parking lot is adjusted according to the corrected maximum demand, so that the target parking lot after the number of charging equipment is adjusted can meet the needs of more electric vehicles, reduce the time proportion of the target time period, and improve the charging experience of electric vehicle users.

[0022] In one embodiment of the present invention, a management system for charging equipment is provided, the management system is used to implement the management method as claimed in any one of claims 1 to 9, the management system comprises: a detection module, the detection module is used to detect the usage of the charging equipment in the target parking lot and the basic image information of the first target user and the second target user; a communication module, the communication module is used for the target parking lot to exchange information with the electric vehicle; a calculation module, the calculation module is used to calculate the theoretical maximum demand, the management system has all the technical features of the above-mentioned management method for charging equipment, which will not be repeated here one by one. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings to be used in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. Figure 1 One of the flow charts of the method for managing charging equipment of the present invention; Figure 2 This is the second flow chart of the method for managing charging equipment of the present invention; Figure 3 This is the third flow chart of the method for managing charging equipment of the present invention; Figure 4 This is the fourth flow chart of the method for managing charging equipment of the present invention; Figure 5 A system schematic diagram of the management system of the present invention; Description of reference numerals: 100 - management system; 110 - detection module; 120 - communication module; 130 - calculation module. DETAILED DESCRIPTION

[0024] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0025] [First embodiment] See also Figure 1 In a specific embodiment, the present invention provides a management method for charging equipment, the management method comprising: S100, obtaining all parking lots with charging equipment in the target area, recording them as rechargeable parking lots, and obtaining the usage of the charging equipment in each rechargeable parking lot. When the charging equipment in the rechargeable parking lot reaches full load, the rechargeable parking lot is recorded as the target parking lot, and the time period when the charging equipment reaches full load is recorded as the target time period; S200, counting the entry and exit of electric vehicles in the target parking lot within the target time period, and marking the electric vehicles that have not been charged after entering the target parking lot as the first target users; S300, obtaining electric vehicles that potentially go to the target parking lot for charging within the target time period, and obtaining a second target user; S400, calculating the theoretical maximum demand for charging equipment in the target parking lot within the target time period according to the first target user and the second target user; S500, obtaining an average usage rate of charging equipment in the target parking lot during the first time period, and a time proportion of the target time period relative to the first time period; S600, calculating a correction coefficient of the target parking lot according to the time proportion and the average utilization rate, correcting the theoretical maximum demand according to the correction coefficient to obtain a corrected maximum demand, and adjusting the number of charging devices in the target parking lot according to the corrected maximum demand.

[0026] In step S100, the target area may be an office building, a shopping mall, a hospital or an industrial park. The target parking lot in the target area where electric vehicles can be charged can be obtained through investigation, and the target parking lot and target time can be obtained through the background data of the charging equipment in the target parking lot.

[0027] In step S200, under normal circumstances, electric vehicles can reach the charging equipment for charging through the guidance signs inside the target parking lot. Therefore, the video image inside the target parking lot during the target time period can be retrieved to determine whether the electric vehicle has a need for charging, and those electric vehicles with charging needs can be marked as the first target users.

[0028] It should be noted that when confirming the first target user, the first target user needs to be screened according to the layout of the charging equipment inside the target parking lot. For example, if there are vacant parking spaces for the charging equipment, although the electric car reaches the vicinity of the charging equipment through the guidance signs, it only parks and does not perform charging operations.

[0029] In step S300, generally, electric vehicles that intend to go to the target parking lot for charging within the target time period can be divided into two situations: one is an electric vehicle that sends a charging request to the target parking lot, and the other is an electric vehicle that goes directly to the target parking lot for charging without sending a charging request to the target parking lot. For example, an electric vehicle driver who is familiar with the road conditions may go to the target parking lot for charging without sending a charging request to the target parking lot.

[0030] In step S400, the number of the first target users and the number of the second target users are obtained within the target time period, and finally the two are added together. The maximum value is added to the number of charging devices originally in the target parking lot to obtain the theoretical maximum demand corresponding to the target time period.

[0031] It should be noted that if there is abnormal data, it needs to be eliminated. For example, if there is a large-scale event such as a concert near the target parking lot on a certain day, the number of electric vehicles going to the target parking lot will increase, causing the number of the first target users and the number of the second target users on that day to be inconsistent with the daily charging needs of the target parking lot.

[0032] In step S500, usually, the average utilization rate of the charging equipment in the target parking lot on different dates, and the time proportion of the target time period relative to the first time period are different. For example, the average utilization rate of the charging equipment and the time proportion of the target time period relative to the first time period in the parking lot of the industrial park on weekdays are higher than those on weekends. Therefore, it is necessary to obtain the total usage time of the charging equipment in the target parking lot in the first time period, the total duration of the available time of the charging equipment, and the total duration of the target time period through the background data of the charging equipment, so as to obtain the average utilization rate of the charging equipment in the target parking lot in the first time period, and the time proportion of the target time period relative to the first time period.

[0033] In step S600, the correction coefficient of the target parking lot is calculated according to the time proportion and the average utilization rate. Correcting the theoretical maximum demand by the correction coefficient can avoid unreasonable resource allocation caused by blindly pursuing customer charging experience. For example, a target parking lot has only two cases where the charging equipment is fully loaded within the first time period, and the full-load time period is only one hour in total, then it can be determined that this target parking lot does not need to add charging equipment.

[0034] Compared with the prior art, the technical effects achieved by adopting the technical solution are as follows: the setting of the target parking lot can quickly obtain the parking lot with full load, accurately screen out the objects that need to be managed in quantity in the target area, and understand the charging peak period of the target parking lot through the target time period, obtain the first target user and the second target user, and comprehensively consider the electric vehicles that have not performed charging operations in the target parking lot within the target time period and the electric vehicles that potentially go to the target parking lot for charging within the target time, so as to obtain a theoretical maximum demand that is more in line with the actual situation. The acquisition of the average utilization rate and the time proportion is helpful to obtain the daily use of the charging equipment in the target parking lot, and the correction coefficient is calculated in combination with the daily use to ensure that after the theoretical maximum demand is obtained, the number of charging equipment is managed according to the comprehensive needs of the actual situation, thereby improving the accuracy and rationality of the target parking lot's management of the number of charging equipment.

[0035] [Second embodiment] In a specific embodiment, counting the entry and exit of electric vehicles in a target parking lot within a target time period, and marking electric vehicles that have not been charged after entering the target parking lot as first target users, specifically includes: S210, acquiring a video image inside the target parking lot, and observing a driving path of the electric vehicle through the video image; S220, judging whether the electric vehicle has a willingness to charge according to the driving route and the layout of the charging equipment; S230: If yes, record the electric car as the first target user.

[0036] In step S210, when the electric vehicle enters the target parking lot, the camera inside the target parking lot can record the driving path of the electric vehicle in the target parking lot. Furthermore, the electric vehicle heading to the charging device can be obtained through the driving path.

[0037] In step S220 to step S230, it is determined whether the electric vehicle is willing to charge according to the driving route and the layout of the charging equipment. If so, the electric vehicle is recorded as the first target user; if not, the electric vehicle is marked as an ordinary user.

[0038] For example, an electric car passes through a charging device area within a target time period. If the driving path video image shows that the electric car finally parks in an ordinary parking space in the target parking lot, the electric car is recorded as an ordinary user. If the driving path video image shows that the electric car does not park in an ordinary parking space, the electric car is recorded as the first target user.

[0039] It should be noted that if an electric vehicle drives out of the target parking lot and must pass through the charging equipment area, it is necessary to further obtain the subsequent driving trajectory of the electric vehicle according to a preset method. The electric vehicle that goes to the next charging destination for charging in the subsequent driving trajectory will be recorded as the first target user, and the electric vehicle that does not go to the next charging destination for charging in the subsequent driving trajectory will be recorded as an ordinary user.

[0040] By acquiring video images, we can accurately understand the electric vehicles that intend to charge in the target parking lot within the target time. By acquiring the driving route and the layout of the charging equipment, the number of the first target users can be counted more accurately.

[0041] [Third embodiment] See also Figure 2 In a specific embodiment, obtaining electric vehicles that potentially go to a target parking lot for charging within a target time period to obtain a second target user specifically includes: S310, obtaining an electric vehicle that sends a charging request to a target parking lot and recording it as a first potential user; S320, obtaining an alternative parking lot corresponding to the target parking lot, obtaining road traffic information outside the target parking lot within the target time period, and determining a second potential user going to the target parking lot based on the road traffic information and image data in the alternative parking lot; S330: Obtain a second target user according to the first potential user and the second potential user.

[0042] In step S310, the target parking lot may receive a charging request from the electric vehicle through a relevant communication system, and make a corresponding response according to the usage of its own charging equipment.

[0043] In step S320, when the electric vehicle does not send a charging request to the target parking lot, but intends to go to the target parking lot for charging within the target time period, it is necessary to obtain road traffic information outside the entrance of the target parking lot within the target time period, as well as image and video information inside the parking lot around the target parking lot where charging operations can be performed, that is, image and video information inside the alternative parking lot. According to the road traffic information outside the entrance of the target parking lot and the image and video information inside the alternative parking lot, the electric vehicles that pass through the target parking lot within the target time period and charge in the alternative parking lot are recorded as the second potential users. For example, if an electric vehicle passes through the target parking lot within the target time period but does not charge in the alternative parking lot, then this electric vehicle is not the second potential user.

[0044] It should be noted that the alternative parking lot refers to a parking lot with the same charging equipment model as the target parking lot, which can be used as a supplement to the charging facilities of the target parking lot or for emergency use.

[0045] By acquiring electric vehicles that want to go to the target parking lot for charging in advance, the number of the first potential users can be made more accurate. By acquiring alternative parking lots, parking lots that can be used for charging can be accurately obtained around the target parking lot. The second potential users can be screened through the alternative parking lots, so that the acquisition range of the second potential users is more in line with the geographical location of the target parking lot. Through the road traffic information outside the target parking lot, the vehicles passing through the target parking lot within the target time period can be obtained. When the electric vehicle does not make a clear charging request to the target parking lot, the charging willingness of the electric vehicle can also be judged, so that the number of the second potential users can be acquired more accurately.

[0046] [Fourth embodiment] In a specific embodiment, obtaining the second target user according to the first potential user and the second potential user specifically includes: S331, when the target parking lot sends a full-load signal to the first potential user, the first potential user who continues to look for the next charging parking lot is recorded as the first actual user; S332, recording the electric vehicles that pass through the target parking lot within the target time period and are charged in the alternative parking lot within the target time period as the second substantial users; S333. Acquire, through the navigation system, a second potential user who passes the target parking lot within the target time period and whose destination is the alternative parking lot and who does not charge within the target time period, and record the second potential user as the second actual user; S334. Obtain a second target user through the first substantial user and the second substantial user.

[0047] In step S331, in general, different electric vehicle users have different charging habits. Only the first potential user who continues to look for the next charging parking lot after receiving a full-load signal can be recorded as the first actual user. For example, when the remaining power of an electric vehicle is 50%, a first potential user sends a charging request to the target parking lot. However, after receiving a full-load signal, this first potential user does not continue to look for an alternative parking lot for charging after evaluation. In this case, this first potential user cannot be recorded as the first actual user.

[0048] In steps S332 and S333, usually, when determining the second actual user, there are two situations. The first situation is the electric vehicle that passes the target parking lot within the target time period and charges at the alternative parking lot within the target time period. The second situation is the second potential user that passes the target parking lot within the target time period and does not reach the alternative parking lot within the target time period. According to its navigation information, its destination is the alternative parking lot.

[0049] For example, it can be known from the navigation information that the destination is an alternative parking lot. On the way to the alternative parking lot, the second potential user passes the target parking lot within the target time period, and the second potential user is recorded as the second actual user.

[0050] In step S334 , the first number of actual users and the second number of actual users are added to obtain the second target users. For example, if the first number of actual users is 10 and the second number of actual users is 15, then the second number of users is 25.

[0051] It should be noted that when confirming the second substantial user, the electric vehicles that have been counted as the first substantial user and appear in the second substantial user need to be eliminated.

[0052] Using the full load signal as the target parking lot and the interactive information of the electric vehicle as the basis for judgment is helpful to lock in the electric vehicles that still need to be charged when the target parking lot is full, thereby improving the accuracy of the screening of the first potential users and ensuring that the first actual users obtained are more in line with the actual situation. By using the electric vehicle's travel destination as the basis for judgment, there is no need to judge the second actual user by whether to charge, and electric vehicles with charging intentions can be accurately screened out, making the number of second target users more accurate.

[0053] [Fifth embodiment] See also Figure 3 In a specific embodiment, calculating the theoretical maximum demand for charging equipment in the target parking lot within the target time period according to the first target user and the second target user specifically includes: S410, obtaining the daily number of first target users in the monitoring period, recorded as a first number, and obtaining the daily number of second target users in the monitoring period, recorded as a second number; S420, obtaining a specific date within the monitoring period, eliminating the first quantity and the second quantity on the specific date within the monitoring period, and recording the eliminated first quantity and the second quantity as the first target quantity and the second target quantity, respectively; S430, adding the total number of charging devices in the target parking lot, the daily first target number, and the daily second target number to obtain the daily maximum demand during the monitoring period, screening out the maximum value of the maximum demand, and obtaining the theoretical maximum demand.

[0054] In step S410, usually, the first quantity and the second quantity are different according to different dates, so the first quantity and the second quantity within a monitoring period are obtained. The monitoring period can be one month, three months or six months, and the specific duration depends on the actual situation.

[0055] In step S420, generally speaking, shopping malls or other places near the parking lot may hold some activities during the detection period, such as concerts, shopping mall promotions, etc. These activities will cause a surge in the first and second quantities on that day, so the first and second quantities on these dates need to be eliminated.

[0056] In step S430, the total number of charging devices in the target parking lot, the first target number for each day, and the second target number for each day are added together to obtain the maximum daily demand during the monitoring period. For example, on a certain day during the detection period, the first number of a target parking lot is 5, the second number is 8, and the total number of charging devices it has is 10. Then the theoretical maximum demand for this target parking lot on that day is 23.

[0057] Filter out the maximum value of the maximum demand and get the theoretical maximum demand. For example, the daily maximum demand in a target parking lot during the monitoring period is sorted from small to large as 10, 12, 13, 13, 15 and 20, then the theoretical maximum demand of this target parking lot is 20.

[0058] By setting the monitoring cycle, we can obtain the variation range of the theoretical maximum demand in the long term, ensuring the universality of the results. The acquisition of specific dates will help to exclude dates when the first and second numbers surge due to special circumstances. The acquisition of the first target number and the second target number will eliminate the data on a surge in the number of target users due to special circumstances, ensuring that the first and second numbers obtained are more in line with the daily load status of the target parking lot, making the obtained theoretical maximum demand more reasonable.

[0059] [Sixth embodiment] See also Figure 4 In a specific embodiment, obtaining the average usage rate of charging equipment in the target parking lot during the first time period and the time proportion of the target time period relative to the first time period specifically includes: S510, obtaining the start time and end time of each charging of each charging device in the first time period, obtaining the charging time of the charging device, and obtaining the available time of the charging device in the first time period; S520, calculating an average usage rate by using the charging time and the available time; S530: Obtain a target duration of a target time period within the first time period, and calculate a time proportion according to the target duration and the available duration of the first time period.

[0060] In step S510, the date of the theoretical maximum value is included in the first time period. The first time period can be one week, one month, three months or six months. The specific duration depends on the actual situation. Usually, the charging equipment in the target parking lot is not open 24 hours a day, and the charging equipment may be damaged. In order to make the result more reasonable, it is necessary to obtain the available time of the charging equipment in the first time period.

[0061] In step S520, the total charging time of each charging device in the first time period is obtained, and the total charging time of all charging devices in the first time period is added together. Similarly, the total available time of all charging devices in the first time period is added together, and finally the two are divided to obtain the average usage of the charging device.

[0062] For example, the total charging time of all charging devices in a target parking lot in the first time period is added up to 50, and the total available time of all charging devices in the first time period is added up to 100, so the average utilization rate of the charging devices in the target parking lot is 50%.

[0063] In step S530, all target time periods in the first time period are added together to obtain a target duration, and the time proportion is calculated according to the target duration and the available duration of the first time period.

[0064] By obtaining the charging time and available time, we can get the actual usage of the charging equipment in the target parking lot, which is helpful to evaluate the demand potential of the charging equipment in the target parking lot. By obtaining the average usage rate, we can get the average usage of the charging equipment in the target parking lot. Combined with the time proportion, we can determine the fluctuation of the full load and daily load of the charging equipment in the target parking lot, and get the necessity of planning the charging equipment inside the target parking lot, which is helpful to plan the number of charging equipment more reasonably.

[0065] [Seventh embodiment] In a specific embodiment, the average usage rate is calculated by the charging time and the available time, which specifically includes: S521. Add the charging time of each charging device to obtain the total charging time of the charging device, and add the available time of the charging devices to obtain the total available time of the charging devices; The average utilization rate is calculated as follows: ; in, is the average utilization rate, For the The charging time of each charging device, N is the total number of charging devices, For the The usable time of each charging device.

[0066] In step S521, for example, a target parking lot =30, =100, then the average utilization rate of charging equipment in the target parking lot is =30%.

[0067] The available time of charging equipment is obtained, taking into account the maintenance and damage of charging equipment, so that the obtained data is more in line with the actual situation and the accuracy of the data is improved.

[0068] [Eighth embodiment] In a specific embodiment, a correction coefficient of the target parking lot is calculated according to the time proportion and the average utilization rate, and the theoretical maximum demand is corrected according to the correction coefficient to obtain a corrected maximum demand, which specifically includes: S610, dividing the correction coefficient into two different levels according to the time proportion; S610a, when the time proportion is less than the first threshold, the correction coefficient has a first correction value; S610b, when the time proportion is greater than or equal to the first threshold, calculating a correction coefficient according to the time proportion and the average usage rate to obtain a second correction value; S620. Correct the theoretical maximum demand according to the first correction value and the second correction value to obtain a corrected maximum demand.

[0069] In steps S610 and S620, generally, when the time proportion is less than the first threshold, it can be considered that the load of the charging device is relatively balanced, and the charging device is idle or low-loaded most of the time. At this time, even if there is a short-term full load during peak hours, there is no need to rush to expand the charging equipment. When the time proportion is greater than or equal to the first threshold, it means that the charging device is running at full load during peak hours, which may cause users to wait in line, affecting the charging experience.

[0070] For example, when the first threshold is 10% and the time proportion in the target parking lot is 8%, which is lower than the first threshold, the correction value is 0.

[0071] The correction factor can be calculated using the following formula: ; in is a weight coefficient between 0 and 1. is the average utilization rate, is the time proportion, The relative importance of adjusting the average utilization rate and time proportion in the correction coefficient calculation can be obtained through subjective weighting method and objective weighting method.

[0072] The correction value can be calculated using the following formula: ;in, is the correction value, The theoretical maximum demand.

[0073] For example, using the entropy weight method, we can get : The data of average usage rate and time proportion are standardized. It is The average utilization rate of target parking lots, It is The proportion of time spent in the target parking lot; After standardization , after standardization ; Calculate the entropy value of the average usage: ; in , , similarly calculate the entropy value of time proportion ; Weight coefficient .

[0074] For example, when =0.7, =0.6, =0.3, =20, ,Right now =0.426; 20, that is =8.52, round up, that is =9.

[0075] The settings of different levels fully consider the impact of the time ratio of the full load of charging equipment in the target parking lot, and determine different correction coefficients based on different time ratios. After obtaining the theoretical maximum demand, the number of charging equipment that needs to be adjusted for the target parking lot is further determined based on the correction coefficient, which improves the rationality of the management of the number of charging equipment in the target parking lot, helps to improve resource utilization and reduce construction and operation costs.

[0076] [Ninth embodiment] In a specific embodiment, adjusting the number of charging devices in the target parking lot according to the modified maximum demand specifically includes: S620a, when the corrected maximum demand is greater than the total number of charging devices, the number of charging devices is added to the corrected maximum demand; S620b: When the corrected maximum demand is less than or equal to the total number of charging devices, the number of charging devices is not changed.

[0077] In step S620a and step S620b, when the corrected maximum demand is 15 and the total number of charging devices is 12, the total number of charging devices is increased by 15, and when the corrected maximum demand is 16 and the total number of charging devices is 18, the number of charging devices is not changed.

[0078] The number of charging devices in the target parking lot is adjusted according to the corrected maximum demand, so that the target parking lot after the adjustment of the number of charging devices can accommodate more electric vehicles, reduce the time proportion of the target time period, and improve the charging experience of electric vehicle users.

[0079] [Tenth embodiment] See also Figure 5 The present invention also provides a management system 100. The management method of charging equipment described in the above embodiment is applied to the management system 100. The management system 100 includes: a detection module 110, which is used to detect the use of charging equipment in the target parking lot and the basic image information of the first target user and the second target user; a communication module 120, which is used for the target parking lot to communicate information with the electric vehicle; and a calculation module 130, which is used to calculate the theoretical maximum demand. The management system 100 has all the technical features of the management method of charging equipment described above, which will not be described one by one here.

[0080] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the scope defined by the claims.

Claims

1. A method for managing charging equipment, characterized in that: The management method comprises: Obtain all parking lots with charging equipment in the target area, record them as rechargeable parking lots, and obtain the usage of the charging equipment in each rechargeable parking lot; When the charging device in the rechargeable parking lot reaches full load, the rechargeable parking lot is recorded as a target parking lot, and the time period when the charging device reaches full load is recorded as a target time period; Counting the entry and exit of electric vehicles in the target parking lot within the target time period, and marking the electric vehicles that have not performed charging operations after entering the target parking lot as first target users; Acquire the electric vehicles that potentially go to the target parking lot for charging within the target time period to obtain second target users; Calculating the theoretical maximum demand for the charging equipment in the target parking lot within the target time period according to the first target user and the second target user; Obtaining an average usage rate of the charging equipment in the target parking lot during a first time period, and a time proportion of the target time period relative to the first time period; Calculating a correction coefficient of the target parking lot according to the time proportion and the average utilization rate, and correcting the theoretical maximum demand according to the correction coefficient to obtain a corrected maximum demand; The number of the charging devices in the target parking lot is adjusted according to the modified maximum demand.

2. The management method according to claim 1, characterized in that: The counting of the entry and exit of electric vehicles in the target parking lot within the target time period and marking the electric vehicles that have not been charged after entering the target parking lot as first target users specifically includes: Acquire a video image inside the target parking lot, and observe the driving path of the electric vehicle through the video image; Determining whether the electric vehicle is willing to charge according to the driving route and the layout of the charging equipment; If so, the electric car is recorded as the first target user.

3. The management method according to claim 1, characterized in that: The step of acquiring the electric vehicle that potentially goes to the target parking lot for charging within the target time period to obtain the second target user specifically includes: Acquire the electric vehicle that sends a charging request to the target parking lot and record it as a first potential user; Acquire an alternative parking lot corresponding to the target parking lot, acquire road traffic information outside the target parking lot within the target time period, and determine a second potential user heading to the target parking lot based on the road traffic information and image data within the alternative parking lot; The second target user is obtained according to the first potential user and the second potential user.

4. The management method according to claim 3, characterized in that: The obtaining the second target user according to the first potential user and the second potential user specifically includes: When the target parking lot sends a full-load signal to the first potential user, the first potential user who continues to search for the next charging parking lot is recorded as the first actual user; Recording the electric vehicle that passes through the target parking lot within the target time period and is charged in the alternative parking lot within the target time period as a second substantial user; Acquire, through the navigation system, the second potential user who passes the target parking lot within the target time period and whose destination is the alternative parking lot and who does not charge within the target time period, and record them as the second actual user; The second target user is obtained through the first substantial user and the second substantial user.

5. The management method according to claim 4, characterized in that: The calculating the theoretical maximum demand for the charging equipment in the target parking lot within the target time period according to the first target user and the second target user specifically includes: Obtaining the daily number of the first target users during a monitoring period, recorded as a first number; Obtaining the daily number of the second target users during the monitoring period, recorded as a second number; Obtain a specific date within the monitoring period; Eliminate the first quantity and the second quantity on the specific date within the monitoring period, and record the first quantity and the second quantity after elimination as the first target quantity and the second target quantity, respectively; Adding the total number of charging devices in the target parking lot, the first target number per day, and the second target number per day to obtain the maximum demand per day during the monitoring period; The maximum value of the maximum demand is screened out to obtain the theoretical maximum demand.

6. The management method according to claim 5, characterized in that: The obtaining of the average usage rate of the charging equipment in the target parking lot in the first time period, and the time proportion of the target time period relative to the first time period, specifically includes: Obtaining the start time and end time of each charging of each charging device in the first time period, and obtaining the charging duration of the charging device; Obtaining the available time of the charging device in the first time period; The average usage rate is calculated by using the charging time and the available time; A target duration of the target time period within the first time period is obtained, and the time proportion is calculated according to the target duration and the available duration of the first time period.

7. The management method according to claim 6, characterized in that: The calculating the average usage rate by using the charging time and the available time specifically includes: Adding the charging time of each charging device to obtain the total charging time of the charging device; Adding the available time of the charging devices to obtain the total available time of the charging devices; The calculation formula of the average usage rate is as follows: ； in, is the average utilization rate, For the The charging time of each charging device, N is the total number of the charging devices, For the The available time of each of the charging devices.

8. The management method according to claim 7, characterized in that: The calculating the correction coefficient of the target parking lot according to the time proportion and the average usage rate, and correcting the theoretical maximum demand according to the correction coefficient to obtain the corrected maximum demand specifically includes: According to the time proportion, the correction coefficient is divided into two different levels; When the time proportion is less than a first threshold, the correction coefficient has a first correction value; When the time proportion is greater than or equal to a first threshold, the correction coefficient is calculated according to the time proportion and the average usage rate to obtain a second correction value; The theoretical maximum demand is corrected according to the first correction value and the second correction value to obtain a corrected maximum demand.

9. The management method according to claim 8, characterized in that: The adjusting the number of the charging devices in the target parking lot according to the modified maximum demand specifically includes: When the modified maximum demand is greater than the total number of the charging devices, adding the number of the charging devices to the modified maximum demand; When the modified maximum demand is equal to the total number of the charging devices, the number of the charging devices is not changed.

10. A management system for charging equipment, characterized in that: The management system is used to implement the management method according to any one of claims 1 to 9, and the management system includes: A detection module, the detection module is used to detect the usage of the charging device in the target parking lot and basic image information of the first target user and the second target user; A communication module, wherein the communication module is used for information exchange between the target parking lot and the electric vehicle; A calculation module is used to calculate the theoretical maximum demand.

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