A management method and management system for a charging device

Abstract

The present invention relates to the technical field of electric vehicle charging management, and particularly relates to a management method and a management system for charging devices. The problems solved by the present invention: How to plan the number of charging devices according to actual needs when the charging devices in a parking lot are fully loaded. To solve the above problems, the present invention provides a management method for charging devices, including: when there are charging devices in a rechargeable parking lot that reach full load, marking the rechargeable parking lot as a target parking lot, and marking the time period when the charging devices reach full load as a target time period; calculating the theoretical maximum demand for charging devices in the target parking lot during the target time period according to the first target users and the second target users; calculating a correction coefficient for the target parking lot according to the time ratio and the average utilization rate, and correcting the theoretical maximum demand according to the correction coefficient to obtain a corrected maximum demand; adjusting the number of charging devices in the target parking lot according to the corrected maximum demand.

Description

Technical Field

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

[0002] With the development of society, the number of electric vehicles is increasing day by day. As an important supporting facility for electric vehicles, charging devices are usually distributed in various parking lots. However, when planning the number of charging devices in a parking lot, it is difficult to accurately predict the growth rate of electric vehicles and the charging demand. There may be a situation where the charging devices are in short supply, resulting in long waiting times for electric vehicle users or even inability to charge. However, in the case of "vehicles without charging piles", blindly pursuing an increase in charging devices without considering the impacts brought by other factors may lead to a large number of charging devices being idle. Therefore, in order to balance the charging experience of electric vehicle users and the reasonable allocation of charging device resources, there is an urgent need and important practical significance for the reasonable planning and construction of charging devices in parking lots. Summary of the Invention

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

[0004] To solve the above problems, an embodiment of the present invention provides a management method for charging devices. The management method includes: obtaining all the parking lots with charging devices in a target area, denoted as rechargeable parking lots, and obtaining the usage conditions of the charging devices in each rechargeable parking lot; when there are charging devices in a rechargeable parking lot that reach full load, denoting the rechargeable parking lot as a target parking lot and denoting the time period when the charging devices reach full load as a target time period; counting the entry and exit conditions of electric vehicles in the target parking lot during the target time period, and marking the electric vehicles that do not perform charging operations after entering the target parking lot as first target users; obtaining the electric vehicles that potentially go to the target parking lot for charging during the target time period to obtain second target users; calculating the theoretical maximum demand for charging devices in the target parking lot during the target time period according to the first target users and the second target users; obtaining the average usage rate of the charging devices in the target parking lot during a first time period and the time ratio of the target time period relative to the first time period; calculating a correction coefficient for the target parking lot according to the time ratio and the average usage rate, and correcting the theoretical maximum demand according to the correction coefficient to obtain a corrected maximum demand; adjusting the number of charging devices in the target parking lot according to the corrected maximum demand.

[0005] Compared with the prior art, the technical effects achieved by adopting this technical solution are as follows: The setting of the target parking lot can quickly obtain a parking lot with a full-load situation, accurately screen out the objects that need to be managed in terms of quantity within the target area, and understand the charging peak period of the target parking lot through the target time period. The acquisition of the first target user and the second target user comprehensively considers the electric vehicles that have not performed charging operations inside the target parking lot during 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 helps to obtain the daily usage situation of the charging equipment in the target parking lot. By combining the daily usage situation to calculate the correction coefficient, it is ensured that after obtaining the theoretical maximum demand, the quantity of the charging equipment is managed according to the comprehensive demand of the actual situation, improving the accuracy and rationality of the quantity management of the charging equipment in the target parking lot.

[0006] In an embodiment of the present invention, the entry and exit situations of electric vehicles in the target parking lot during the target time period are counted, and the electric vehicles that have not performed charging operations after entering the target parking lot are marked as the first target users, specifically including: obtaining the video images inside the target parking lot, observing the driving paths of the electric vehicles through the video images; judging whether the electric vehicles have the intention to charge according to the driving paths and the layout of the charging equipment; if so, recording the electric vehicles as the first target users.

[0007] Compared with the prior art, the technical effects achieved by adopting this technical solution are as follows: Through the acquisition of video images, it is possible to accurately understand the electric vehicles that intend to charge in the target parking lot within the target time. By obtaining the driving paths and the layout of the charging equipment, the quantity statistics of the first target users are made more accurate.

[0008] In an embodiment of the present invention, the electric vehicles that potentially go to the target parking lot for charging during the target time period are obtained to get the second target users, specifically including: obtaining the electric vehicles that send charging requests to the target parking lot and recording them as the first potential users; obtaining the alternative parking lots corresponding to the target parking lot, obtaining the road traffic information outside the target parking lot during the target time period, and determining the second potential users going to the target parking lot according to the road traffic information and the image data in the alternative parking lots; obtaining the second target users according to the first potential users and the second potential users.

[0009] Compared with the prior art, the technical effects achieved by adopting this technical solution are as follows: By obtaining in advance the electric vehicles that want to go to the target parking lot for charging, the number of the first potential users can be made more accurate. Through the acquisition of alternative parking lots, the parking lots that can perform charging operations around the target parking lot can be accurately obtained. By screening the second potential users through the alternative parking lots, the acquisition range of the second potential users can be made 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 by the target parking lot during the target time period can be obtained. Even when the electric vehicle does not send a clear charging request to the target parking lot, the charging intention of the electric vehicle can be judged, making the acquisition of the number of the second potential users more accurate.

[0010] In an embodiment of the present invention, obtaining the second target users according to the first potential users and the second potential users specifically includes: Designating the first potential users who continue to look for the next rechargeable parking lot when the target parking lot sends a full-load signal as the first actual users; Designating the electric vehicles that pass by the target parking lot during the target time period and charge in the alternative parking lot during the target time period as the second actual users; Obtaining through the navigation system the second potential users who pass by the target parking lot during the target time period, whose destination is the alternative parking lot, and who do not charge during the target time period, and designating them as the second actual users; Obtaining the second target users through the first actual users and the second actual users.

[0011] Compared with the prior art, the technical effects achieved by adopting this technical solution are as follows: Using the full-load signal as the interaction information between the target parking lot and the electric vehicle as the judgment basis is conducive to locking in the electric vehicles that still need to charge when the target parking lot is full, improving the accuracy of screening the first potential users and ensuring that the obtained first actual users are more in line with the actual situation. Using the travel destination of the electric vehicle as the judgment basis, there is no need to judge the second actual users by whether they charge, and the electric vehicles with charging intentions can be accurately screened, making the number of the second target users more accurate.

[0012] In an embodiment of the present invention, calculating the theoretical maximum demand of the charging devices 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 quantity of the first target user within the monitoring period, denoted as the first quantity; obtaining the daily quantity of the second target user within the monitoring period, denoted as the second quantity; obtaining a specific date within the monitoring period; excluding the first quantity and the second quantity on the specific date within the monitoring period, and denoting the excluded first quantity and second quantity as the first target quantity and the second target quantity respectively; adding the total number of charging devices in the target parking lot, the daily first target quantity, and the daily second target quantity to obtain the maximum demand per day within the monitoring period; screening out the maximum value of the maximum demand to obtain the theoretical maximum demand.

[0013] Compared with the prior art, 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 obtained results. The acquisition of the specific date helps to exclude the dates when the first quantity and the second quantity surge due to special circumstances. The acquisition of the first target quantity and the second target quantity excludes the data where the number of target users surges due to special circumstances, ensuring that the obtained first quantity and second quantity are more in line with the daily load status of the target parking lot, making the obtained theoretical maximum demand more reasonable.

[0014] In an embodiment of the present invention, obtaining the average utilization rate of the charging devices 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 specifically includes: obtaining the start time and end time of each charging of each charging device within the first time period to obtain the charging duration of the charging device; obtaining the available duration of the charging device within the first time period; calculating the average utilization rate through the charging duration and the available duration; obtaining the target duration of the target time period within the first time period, and calculating the time proportion according to the target duration and the available duration of the first time period.

[0015] Compared with the prior art, the technical effects achieved by adopting this technical solution are as follows: The acquisition of the charging duration and the available duration can obtain the actual usage situation of the charging devices in the target parking lot, which helps to evaluate the demand potential of the charging devices in the target parking lot. The acquisition of the average utilization rate can obtain the average usage situation of the charging devices in the target parking lot. Combining the time proportion, it is possible to determine the fluctuation situation between the full-load situation and the daily load situation of the charging devices in the target parking lot, obtain the necessity for planning the charging devices inside the target parking lot, and help to more reasonably plan the number of charging devices.

[0016] In one embodiment of the present invention, the average utilization rate is calculated based on the charging duration and the available duration, specifically including: adding up the charging durations of each charging device to obtain the total charging duration of the charging devices; adding up the available durations of the charging devices to obtain the total available duration of the charging devices; the calculation formula for the average utilization rate is as follows:

[0017] ;

[0018] wherein, is the average utilization rate, is the charging duration of the th charging device, N is the total number of charging devices, is the available duration of the th charging device.

[0019] Compared with the prior art, the technical effect achieved by adopting this technical solution is that: when obtaining the available duration of the charging device, considering the situations such as maintenance and damage of the charging device, the obtained data is more in line with the actual situation, improving the accuracy of the data.

[0020] In one embodiment of the present invention, the correction coefficient of the target parking lot is calculated based on the time ratio and the average utilization rate, and the theoretical maximum demand is corrected according to the correction coefficient to obtain the corrected maximum demand, specifically including: dividing the correction coefficient into two different levels according to the time ratio; when the time ratio is less than the first threshold, the correction coefficient has a first correction value; when the time ratio is greater than or equal to the first threshold, the correction coefficient is calculated based on the time ratio 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 the corrected maximum demand.

[0021] Compared with the prior art, the technical effect achieved by adopting this technical solution is that: the setting of different levels fully considers the influence brought by the time ratio of the full-load situation of the charging devices in the target parking lot, determines different correction coefficients in combination with different time ratios, and further determines the number of charging devices that need to be adjusted in the target parking lot according to the correction coefficient after obtaining the theoretical maximum demand, improving the rationality of the management of the number of charging devices in the target parking lot, and helping to improve resource utilization rate and reduce construction and operation costs.

[0022] 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, adding the number of charging devices 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.

[0023] Compared with the prior art, the technical effects achieved by adopting this technical solution are as follows: 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 ratio of the target time period, and improve the charging experience of electric vehicle users.

[0024] In one embodiment of the present invention, a management system for charging devices is used to implement the management method as described in any one of claims 1 to 9. The management system includes: a detection module for detecting the usage situation of charging devices in the target parking lot and the basic image information of the first target user and the second target user; a communication module for information exchange between the target parking lot and electric vehicles; a calculation module for calculating the theoretical maximum demand. This management system has all the technical features of the above-mentioned management method for charging devices, and will not be elaborated here one by one. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings to be used in the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those skilled in the art, without creative efforts, other drawings can also be obtained based on these drawings;

[0026] Figure 1 It is one of the flowcharts of the management method for charging devices of the present invention;

[0027] Figure 2 It is the second flowchart of the management method for charging devices of the present invention;

[0028] Figure 3 It is the third flowchart of the management method for charging devices of the present invention;

[0029] Figure 4 It is the fourth flowchart of the management method for charging devices of the present invention;

[0030] Figure 5 It is the system schematic diagram of the management system of the present invention;

[0031] Description of the reference numerals:

[0032] 100 - Management system; 110 - Detection module; 120 - Communication module; 130 - Calculation module. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] To make the above-mentioned objects, features, and advantages of the present invention more obvious and understandable, the following will provide a detailed description of the specific embodiments of the present invention with reference to the drawings.

[0034]

First Embodiment

[0035] See Figure 1 , in a specific embodiment, the present invention provides a management method for a charging device, and the management method includes:

[0036] S100. Obtain all parking lots with charging devices in the target area, denoted as rechargeable parking lots, and obtain the usage conditions of the charging devices in each rechargeable parking lot. When the charging devices in a rechargeable parking lot reach full load, mark the rechargeable parking lot as the target parking lot, and mark the time period when the charging devices reach full load as the target time period;

[0037] S200. Count the entry and exit conditions of electric vehicles in the target parking lot during the target time period, and mark the electric vehicles that do not perform charging operations after entering the target parking lot as the first target users;

[0038] S300. Obtain the electric vehicles that are potentially going to the target parking lot for charging during the target time period to obtain the second target users;

[0039] S400. Calculate the theoretical maximum demand for the charging devices in the target parking lot during the target time period according to the first target users and the second target users;

[0040] S500. Obtain the average utilization rate of the charging devices in the target parking lot during the first time period, and the time ratio of the target time period relative to the first time period;

[0041] S600. Calculate the correction coefficient of the target parking lot according to the time ratio and the average utilization rate, correct the theoretical maximum demand according to the correction coefficient to obtain the corrected maximum demand, and adjust the number of charging devices in the target parking lot according to the corrected maximum demand.

[0042] In step S100, the target area may be an office building, a shopping mall, a hospital or an industrial park. Through investigation, the target parking lots in the target area that can charge electric vehicles can be obtained. Moreover, the target parking lot and the target time can be obtained through the background data of the charging devices in the target parking lot.

[0043] In step S200, usually, electric vehicles can reach the charging devices through the guiding signs inside the target parking lot for charging. Therefore, the video images inside the target parking lot during the target time period can be retrieved to determine whether the electric vehicles have charging requirements, and mark those electric vehicles with charging requirements as the first target users.

[0044] 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, although the electric vehicle arrives near the charging equipment through the guiding signs, it only parks and does not perform a charging operation when there are available parking spaces for the charging equipment.

[0045] In step S300, generally, electric vehicles intending to go to the target parking lot for charging within the target time period can be divided into two situations. One is the electric vehicle that sends a charging request to the target parking lot, and the other is the electric vehicle that directly goes to the target parking lot for charging without sending a charging request to the target parking lot. For example, an electric vehicle driver familiar with the road conditions may go to the target parking lot for charging without sending a charging request to the target parking lot.

[0046] 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 obtained maximum value is added to the number of the original charging equipment in the target parking lot to obtain the theoretical maximum demand corresponding to the target time period.

[0047] It should be noted that if there are abnormal data, the abnormal data needs to be excluded. For example, when there is a large-scale event such as a concert near the target parking lot on a certain day, it will cause an increase in the number of electric vehicles going to the target parking lot, resulting in the number of the first target users and the number of the second target users not conforming to the daily charging demand of the target parking lot on that day.

[0048] In step S500, generally, 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, in the parking lot of an industrial park on weekdays, the average utilization rate of the charging equipment and the time proportion of the target time period relative to the first time period are higher than those on weekends. Therefore, it is necessary to obtain the total usage duration of the charging equipment in the target parking lot within 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 within the first time period, and the time proportion of the target time period relative to the first time period.

[0049] 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 through the correction coefficient can avoid the unreasonable resource allocation phenomenon caused by blindly pursuing the charging experience of customers. For example, if a target parking lot is only fully loaded twice within the first time period, and the fully loaded time period is only one hour in total, then it can be determined that there is no need to increase the charging equipment in this target parking lot.

[0050] Compared with the prior art, the technical effects achieved by adopting this technical solution are as follows: The setting of the target parking lot can quickly obtain a parking lot with a full-load situation, accurately screen out the objects that need to be managed in terms of quantity within the target area, and understand the charging peak period of the target parking lot through the target time period. The acquisition of the first target user and the second target user comprehensively considers the electric vehicles that have not performed charging operations inside the target parking lot during the target time period and the electric vehicles that are potentially going to the target parking lot for charging during 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 helps to obtain the daily usage situation of the charging equipment in the target parking lot. By combining the daily usage situation to calculate the correction coefficient, it is ensured that after obtaining the theoretical maximum demand, according to the comprehensive demand of the actual situation, the quantity management of the charging equipment is carried out, improving the accuracy and rationality of the quantity management of the charging equipment in the target parking lot.

[0051]

Second Embodiment

[0052] In a specific embodiment, the entry and exit situations of electric vehicles in the target parking lot during the target time period are counted, and the electric vehicles that have not performed charging operations after entering the target parking lot are marked as the first target users, specifically including:

[0053] S210. Obtain the video images inside the target parking lot and observe the driving path of the electric vehicle through the video images;

[0054] S220. Judge whether the electric vehicle has the intention to charge according to the driving path and the layout of the charging equipment;

[0055] S230. If so, record the electric vehicle as the first target user.

[0056] 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. Further, the electric vehicle going to the charging equipment can be obtained through the driving path.

[0057] In steps S220 to S230, judge whether the electric vehicle has the intention to charge according to the driving path and the layout of the charging equipment. If so, record the electric vehicle as the first target user. If not, mark the electric vehicle as an ordinary user.

[0058] For example, an electric vehicle passes through the charging equipment area during the target time period. If the driving path video image shows that this electric vehicle finally stops at the ordinary parking space in the target parking lot, then this electric vehicle is recorded as an ordinary user. If the driving path video image shows that this electric vehicle does not park at the ordinary parking space, then this electric vehicle is recorded as the first target user.

[0059] It should be noted that if there is a situation where 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. An electric vehicle that will go to the next charging destination for charging in the subsequent driving trajectory is recorded as the first target user, and an electric vehicle that does not go to the next charging destination for charging in the subsequent driving trajectory is recorded as an ordinary user.

[0060] Through the acquisition of video images, it is possible to accurately understand the electric vehicles that intend to charge in the target parking lot within the target time. By obtaining the driving path and the layout of the charging equipment, the statistics of the number of the first target users can be made more accurate.

[0061]

Third Embodiment

[0062] See Figure 2 , in a specific embodiment, obtaining the electric vehicles that potentially go to the target parking lot for charging within the target time period to obtain the second target users, specifically including:

[0063] S310. Obtain the electric vehicles that send charging requests to the target parking lot and record them as the first potential users;

[0064] S320. Obtain the alternative parking lots corresponding to the target parking lot, obtain the road traffic information outside the target parking lot within the target time period, and determine the second potential users going to the target parking lot according to the road traffic information and the image data in the alternative parking lots;

[0065] S330. Obtain the second target users according to the first potential users and the second potential users.

[0066] In step S310, the target parking lot can receive the charging requests sent by the electric vehicles through a relevant communication system and make corresponding responses according to the usage situation of its own charging equipment.

[0067] In step S320, when the electric vehicle does not send a charging request to the target parking lot, but has the intention to go to the target parking lot for charging within the target time period, it is necessary to obtain the road traffic information outside the entrance of the target parking lot within the target time period, and the image and video information inside the parking lot that can perform charging operations around the target parking lot, that is, the 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, an electric vehicle that passes by the target parking lot within the target time period and charges in the alternative parking lot is recorded as the second potential user. For example, if an electric vehicle passes by the target parking lot within the target time period but does not charge in the alternative parking lot, then this electric vehicle is not a second potential user.

[0068] It should be noted that the alternative parking lot refers to a parking lot whose charging equipment model is the same as that of the target parking lot and can be used as a supplement or emergency use for the charging facilities of the target parking lot.

[0069] By obtaining in advance the electric vehicles that want to go to the target parking lot for charging, the number of the first potential users can be made more accurate. The acquisition of the alternative parking lot can accurately obtain the parking lots around the target parking lot where charging operations can be carried out. By screening the second potential users through the alternative parking lot, the acquisition range of the second potential users can be made 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 by the target parking lot during 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 intention of the electric vehicle can also be judged, making the acquisition of the number of the second potential users more accurate.

[0070]

Fourth Embodiment

[0071] In a specific embodiment, obtaining the second target users according to the first potential users and the second potential users specifically includes:

[0072] S331. Denote the first potential users who continue to look for the next rechargeable parking lot when the target parking lot sends a full-load signal as the first substantial users;

[0073] S332. Denote the electric vehicles that pass by the target parking lot during the target time period and charge in the alternative parking lot during the target time period as the second substantial users;

[0074] S333. Through the navigation system, obtain the second potential users who pass by the target parking lot during the target time period, whose destination is the alternative parking lot, and who do not charge during the target time period, and denote them as the second substantial users;

[0075] S334. Obtain the second target users through the first substantial users and the second substantial users.

[0076] In step S331, generally, the charging habits of different electric vehicle users are different. Only the first potential users who continue to look for the next rechargeable parking lot after receiving the full-load signal can be denoted as the first substantial users. For example, a certain first potential user sends a charging request to the target parking lot when the remaining battery power of the electric vehicle is 50%, but after receiving the full-load signal, this first potential user, after evaluation, finally does not continue to look for an alternative parking lot for charging, then this first potential user cannot be denoted as the first substantial user.

[0077] In steps S332 and S333, generally, when determining the second actual users, there are two cases. The first case is an electric vehicle that passes through the target parking lot within the target time period and charges at the alternative parking lot within the target time period. The second case is a second potential user who passes through the target parking lot within the target time period and does not reach the alternative parking lot within the target time period, and according to its navigation information, its destination is the alternative parking lot.

[0078] For example, if it can be known from the navigation information that its destination is the alternative parking lot, and on the way to the alternative parking lot, the second potential user passes through the target parking lot within the target time period, then this second potential user is recorded as the second actual user.

[0079] In step S334, add the number of the first actual users and the number of the second actual users to obtain the second target users. For example, if the number of the first actual users is 10 and the number of the second actual users is 15, then the number of the second users is 25.

[0080] It should be noted that when confirming the second actual users, it is necessary to exclude the electric vehicles that have been counted as the first actual users and appear again among the second actual users.

[0081] Using the full-load signal as the interaction information between the target parking lot and the electric vehicle as the judgment basis is beneficial to locking the electric vehicles that still need to charge when the target parking lot is full, improving the accuracy of screening the first potential users, ensuring that the obtained first actual users are more in line with the actual situation. Using the travel destination of the electric vehicle as the judgment basis, without judging the second actual users by whether they charge or not, can accurately screen out the electric vehicles with the intention of charging, making the number of the second target users more accurate.

[0082]

Fifth Embodiment

[0083] Refer to Figure 3 , in a specific embodiment, calculate the theoretical maximum demand of the charging facilities in the target parking lot within the target time period according to the first target users and the second target users, which specifically includes:

[0084] S410. Obtain the daily number of the first target users within the monitoring period, denoted as the first quantity, and obtain the daily number of the second target users within the monitoring period, denoted as the second quantity;

[0085] S420. Obtain a specific date within the monitoring period, exclude the first quantity and the second quantity of the specific date within the monitoring period, and denote the excluded first quantity and second quantity as the first target quantity and the second target quantity respectively;

[0086] S430. Add the total number of charging devices in the target parking lot, the first target quantity per day, and the second target quantity per day to obtain the maximum daily demand within the monitoring period. Screen out the maximum value of the maximum daily demand to obtain the theoretical maximum demand.

[0087] In step S410, generally, the first quantity and the second quantity vary according to different dates. Therefore, obtain the first quantity and the second quantity within the monitoring period. The monitoring period can be one month, three months, or six months, and the specific duration depends on the actual situation.

[0088] In step S420, generally speaking, there may be some activities near the parking lot, such as concerts or major shopping mall promotions, during the detection period. These activities will cause a sharp increase in the first quantity and the second quantity on that day. Therefore, it is necessary to exclude the first quantity and the second quantity on these dates.

[0089] In step S430, add the total number of charging devices in the target parking lot, the first target quantity per day, and the second target quantity per day to obtain the maximum daily demand within the monitoring period. For example, on a certain day within the detection period, the first quantity of a certain target parking lot is 5, the second quantity is 8, and the total number of charging devices it has is 10. Then the theoretical maximum demand of this target parking lot on that day is 23.

[0090] Screen out the maximum value of the maximum daily demand to obtain the theoretical maximum demand. For example, the maximum daily demands of a certain target parking lot within the monitoring period, sorted from smallest to largest, are 10, 12, 13, 13, 15, and 20. Then the theoretical maximum demand of this target parking lot is 20.

[0091] By setting the monitoring period, the variation range of the theoretical maximum demand in the long term can be obtained, ensuring that the obtained results are universal. The acquisition of specific dates helps to exclude the dates when the first quantity and the second quantity surge due to special circumstances. The acquisition of the first target quantity and the second target quantity excludes the data with a sharp increase in the target user quantity due to special circumstances, ensuring that the obtained first quantity and second quantity are more in line with the daily load status of the target parking lot and making the obtained theoretical maximum demand more reasonable.

[0092]

Sixth Embodiment

[0093] See Figure 4 , in a specific embodiment, obtain the average utilization rate of the charging devices in the target parking lot during the first time period, and the time ratio of the target time period relative to the first time period, specifically including:

[0094] S510. Obtain the start time and end time of each charging for each charging device within the first time period to obtain the charging duration of the charging device, and obtain the available duration of the charging device within the first time period;

[0095] S520. Calculate the average utilization rate through the charging duration and the available duration;

[0096] S530. Obtain the target duration of the target time period within the first time period, and calculate the time proportion according to the target duration and the available duration of the first time period.

[0097] In step S510, the date where the above theoretical maximum value is located is included within the first time period. The first time period can be one week, one month, three months, or six months, and the specific duration depends on the actual situation. Usually, the charging devices in the target parking lot do not operate 24 hours a day, and there may also be situations where the charging devices are damaged. In order to make the results more reasonable, it is therefore necessary to obtain the available duration of the charging device within the first time period.

[0098] In step S520, obtain the total charging duration of each charging device within the first time period, add up the total charging durations of all charging devices within the first time period. Similarly, add up the total available durations of all charging devices within the first time period, and finally divide the two to obtain the average usage situation of the charging devices.

[0099] For example, when adding up the total charging durations of all charging devices in a certain target parking lot within the first time period, the obtained value is 50, and when adding up the total available durations of all charging devices within the first time period, the obtained value is 100. Then the average utilization rate of the charging devices in the target parking lot is 50%.

[0100] In step S530, add up all the target time periods within the first time period to obtain the target duration, and calculate the time proportion according to the target duration and the available duration of the first time period.

[0101] By obtaining the charging duration and the available duration, the actual usage situation of the charging devices in the target parking lot can be obtained, which helps to evaluate the demand potential of the charging devices in the target parking lot. By obtaining the average utilization rate, the average usage situation of the charging devices in the target parking lot can be obtained. Combining the time proportion, the fluctuation situation between the full-load situation and the daily load situation of the charging devices in the target parking lot can be determined, and the necessity for planning the charging devices inside the target parking lot can be obtained, which helps to more reasonably plan the number of charging devices.

[0102]

Seventh Embodiment

[0103] In a specific embodiment, calculating the average utilization rate through the charging duration and the available duration specifically includes:

[0104] S521. Add up the charging durations of each charging device to obtain the total charging duration of the charging devices, and add up the available durations of the charging devices to obtain the total available duration of the charging devices.

[0105] The calculation formula for the average utilization rate is as follows:

[0106] ;

[0107] Wherein, is the average utilization rate, is the charging duration of the th charging device, N is the total number of charging devices, is the available duration of the th charging device.

[0108] In step S521, for example, for a certain target parking lot = 30, = 100, then the average utilization rate of the charging devices in the target parking lot = 30%.

[0109] Regarding the acquisition of the available duration of the charging device, considering the situations such as maintenance and damage of the charging device, the obtained data is more in line with the actual situation, improving the accuracy of the data.

[0110]

Eighth Embodiment

[0111] In a specific embodiment, calculate the correction coefficient of the target parking lot according to the time ratio and the average utilization rate, and correct the theoretical maximum demand according to the correction coefficient to obtain the corrected maximum demand, specifically including:

[0112] S610. Divide the correction coefficient into two different levels according to the time ratio;

[0113] S610a. When the time ratio is less than the first threshold, the correction coefficient has a first correction value;

[0114] S610b. When the time ratio is greater than or equal to the first threshold, calculate the correction coefficient according to the time ratio and the average utilization rate to obtain a second correction value;

[0115] S620. Correct the theoretical maximum demand according to the first correction value and the second correction value to obtain the corrected maximum demand.

[0116] In steps S610 and S620, generally, when the time ratio is less than the first threshold, it can usually be considered that the load of the charging device is relatively balanced, and the charging device is idle or has a low load for most of the time. At this time, even if there is a short period of full load during the peak period, there is no need to rush to expand the charging device. When the time ratio is greater than or equal to the first threshold, it means that the charging device is operating at full load during the peak period, which may cause users to queue and affect the charging experience.

[0117] For example, when the first threshold is 10% and the time ratio of the target parking lot is 8%, which is lower than the first threshold, the correction value is 0.

[0118] The correction coefficient can be calculated by the following formula:

[0119] ;

[0120] where is a weight coefficient between 0 and 1, is the average utilization rate, is the time ratio, The relative importance of adjusting the average utilization rate and the time ratio in the calculation of the correction coefficient can be obtained through subjective weighting method and objective weighting method.

[0121] The correction value can be calculated by the following formula: ; where, is the correction value, is the theoretical maximum demand.

[0122] For example, using the entropy weight method to obtain :

[0123] For the data of the average utilization rate and the time ratio, perform standardization processing. Let be the average utilization rate of the th target parking lot, be the time ratio of the th target parking lot;

[0124] The standardized , the standardized ;

[0125] Calculate the entropy value of the average utilization rate: ;

[0126] where ,, and similarly calculate the entropy value of the time ratio ; ;

[0127] The weight coefficient .

[0128] For example, when = 0.7, = 0.6, = 0.3, = 20, , that is = 0.426; 20, that is = 8.52, rounding up, that is = 9.

[0129] The settings of different levels fully consider the influence brought by the time ratio of the full-load situation of the charging equipment in the target parking lot, determine different correction factors in combination with different time ratios, and further determine the number of charging equipment that needs to be adjusted for the target parking according to the correction factor after obtaining the theoretical maximum demand, which improves the rationality of the management of the number of charging equipment in the target parking lot and helps to improve resource utilization rate and reduce construction and operation costs.

[0130]

Ninth Embodiment

[0131] In a specific embodiment, the number of charging equipment in the target parking lot is adjusted according to the corrected maximum demand, which specifically includes:

[0132] S620a. When the corrected maximum demand is greater than the total number of charging equipment, add the number of charging equipment to the corrected maximum demand;

[0133] S620b. When the corrected maximum demand is less than or equal to the total number of charging equipment, do not change the number of charging equipment.

[0134] In step S620a and step S620b, when the corrected maximum demand is 15 and the total number of charging equipment is 12, increase the total number of charging equipment to 15. When the corrected maximum demand is 16 and the total number of charging equipment is 18, do not change the number of charging equipment.

[0135] Adjust the number of charging equipment in the target parking lot according to the corrected maximum demand, so that the target parking lot after the number of charging equipment is adjusted can accommodate more electric vehicles, reduce the time ratio of the target time period, and improve the charging experience of electric vehicle users.

[0136]

Tenth Embodiment

[0137] See Figure 5, the present invention also provides a management system 100. The management method of the charging device described in the above embodiments is applied to the management system 100. The management system 100 includes: a detection module 110, which is used to detect the usage situation of the charging devices 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 information exchange between the target parking lot and the electric vehicle; a calculation module 130, which is used to calculate the theoretical maximum demand. The management system 100 has all the technical features of the above management method of the charging device, and will not be elaborated here one by one.

[0138] 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 should 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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