A method for orderly charging in residential parking lots during peak electricity consumption periods

Abstract

This invention relates to an orderly charging system and method for residential parking lots during peak electricity consumption periods. The system includes a cloud server, charging piles, a smart gateway, and a power grid access module. The power grid access module connects the charging piles in the parking lot to the power grid. The smart gateway connects the charging piles and the cloud server, sending the charging pile data and status information to the cloud server. The cloud server, as the central node of the system, monitors the status and data of each charging pile in real time and dynamically adjusts the charging power and charging time of each charging pile based on load and peak time period calculations. The technical solution of this invention can reduce the impact of charging piles on the power grid in residential parking lots by orderly charging during off-peak electricity consumption periods, while meeting the charging needs of electric vehicles, improving the charging efficiency and utilization rate of electric vehicles in the community, and improving the quality of life for residents.

Description

Technical Field

[0001] This invention relates to the field of charging control technology, and more specifically, to an orderly charging system and method for residential parking lots based on peak electricity consumption periods. Background Technology

[0002] With the increasing popularity of electric vehicles, the demand for electric vehicle charging stations is constantly increasing. However, when charging electric vehicles in residential parking lots, factors such as the large number of vehicles in the parking lot and peak charging demand often lead to insufficient power supply from the charging stations, which in turn affects the normal charging and use of electric vehicles.

[0003] To address this, existing technologies have proposed several orderly charging systems that, through the scheduling of electric vehicle charging stations, achieve orderly charging of electric vehicles and reduce the impact on the power grid. However, most existing technologies do not consider the power supply and demand imbalance during peak electricity consumption periods, and still pose a significant challenge to the power grid. Summary of the Invention

[0004] To address the aforementioned technical problems, the first objective of this invention is to provide an orderly charging system for residential parking lots during peak electricity consumption periods. This system can efficiently and rationally coordinate normal electricity consumption within the residential area with the charging needs of electric vehicles. The second objective of this invention is to provide a method for orderly charging in residential parking lots during peak electricity consumption periods.

[0005] To achieve the first objective mentioned above, the present invention adopts the following technical solution:

[0006] An orderly charging system for residential parking lots during peak electricity consumption periods includes a cloud server, charging piles, a smart gateway, and a power grid access module. The power grid access module connects the charging piles in the parking lot to the power grid. The smart gateway connects the charging piles and the cloud server, sending the data and status information of the charging piles to the cloud server. The cloud server is the central node of the system, monitoring the status and data of each charging pile in real time, and dynamically adjusting the charging power and charging time of each charging pile based on the calculation results of load and peak time periods.

[0007] As a preferred option, it also includes charging pile status sensors, power grid load sensors, and charging pile reservation status sensors. The cloud server collects, stores, and processes all the data uploaded by the sensors, and analyzes the peak electricity consumption periods in real time through machine learning and data analysis, and formulates an orderly charging plan.

[0008] As a preferred embodiment, the charging pile is also equipped with a charging pile controller, which receives the charging plan issued by the cloud server and controls the charging pile to charge the electric vehicle in an orderly manner according to the plan.

[0009] As a preferred solution, the cloud server is also integrated with a user management system and a payment system.

[0010] To achieve the second invention object, the present invention adopts the following technical solutions:

[0011] An orderly charging method for a community parking lot during peak electricity consumption periods, using the system described in any one of the above, includes the following steps:

[0012] a), The charging piles in the community parking lot, through sensor devices, continuously sense the charging demands of electric vehicles in the parking lot and upload the charging demand data to the cloud server;

[0013] b), The cloud server, through algorithms, analyzes and predicts the time periods of peak electricity consumption, temporarily caches the charging requests during these time periods, and sets a waiting time;

[0014] c), After the peak electricity consumption period ends, the cloud server formulates a scheduling plan for the charging piles based on the cached charging requests and the waiting time, and sends the plan information to the charging piles;

[0015] d), The charging piles charge the electric vehicles orderly according to the scheduling plan, ensuring that as many electric vehicles as possible are fully charged within a limited time.

[0016] As a preferred solution, the scheduling plan for the charging piles in step c includes the following steps:

[0017] Suppose there are N charging piles in the community parking lot that need to be charged orderly, the charging demand of each charging pile is Q(i), where i represents the i-th charging pile, the time period for charging is [Tstart(i), Tend(i)], assume the current time is t, the peak electricity consumption period of the community is [Tpeak_start, Tpeak_end], and there are M users who have reserved the charging piles, and the charging time period reserved by each user is [Tstart(j), Tend(j)], where j represents the j-th user;

[0018] Then the orderly charging algorithm formula is as follows:

[0019] 1. Initialization:

[0020] S = {i | Tstart(i) <= t, t < Tend(i)}, representing the set of currently available charging piles; E = {(j, Q(j))

[0021] | Tstart(j) <= t, t < Tend(j)}, representing the set of charging demands reserved by the current users;

[0022] 2. Sort E in descending order according to the charging demand;

[0023] 3. For each user j, find the charging pile i from the set S that satisfies the following conditions:

[0024] (a) Tstart(i) >= Tend(j) or Tend(i) <= Tstart(j), meaning that the usage time of the charging pile and the user's charging time do not overlap;

[0025] (b) Q(i) >= Q(j), meaning that the remaining capacity of the charging pile must be greater than or equal to the user's charging demand;

[0026] (c) The usage period of charging pile i cannot be during the peak electricity consumption period of the community [Tpeak_start, Tpeak_end];

[0027] If a suitable charging station is found, it is removed from the set S, and the charging station i is assigned to user j for charging.

[0028] As a preferred embodiment, the scheduling plan for the charging piles in step c further includes the following steps:

[0029] For the remaining user demand, if there are no suitable charging stations, users will need to wait for the next time period. At the same time, if the current time is during the peak electricity consumption period of the community [Tpeak_start, Tpeak_end], the waiting period should avoid the peak electricity consumption period and be scheduled for charging during the off-peak electricity consumption period.

[0030] During the waiting period, the cloud server provides real-time inquiry and reservation functions for charging station usage via a mobile app or other means, allowing users to check the charging station availability and reserve charging at any time. A certain waiting time is set; if no available charging station can be found within the waiting time, the user is prompted to choose another charging method or a different time slot. The specific steps are as follows:

[0031] (a) Let k = 1, which means that the current time is the kth waiting period.

[0032] (b) Calculate the start time Tstart(k) and end time Tend(k) of the next waiting period:

[0033] If the current time t is not within the peak electricity consumption period [Tpeak_start, Tpeak_end], then the start time of the next waiting period is t, and the end time is t+1.

[0034] If the current time t is within the peak electricity consumption period [Tpeak_start, Tpeak_end], then the start time of the next waiting period is Tpeak_end, and the end time is Tpeak_end+1;

[0035] (c) For sets S and E, charging pile i and user j that satisfy the following conditions will be retained in the sets:

[0036] Tstart(i) >= Tend(j) or Tend(i) <= Tstart(j), meaning that the usage time of the charging pile and the user's charging time cannot overlap;

[0037] Q(i)>=Q(j), meaning that the remaining capacity of the charging pile must be greater than or equal to the user's charging demand;

[0038] The charging pile i cannot be used during the peak electricity consumption periods of the community [Tpeak_start, Tpeak_end];

[0039] (d) If there are no matching charging piles and users in sets S and E, continue to wait for the next time period; otherwise, proceed to step (e).

[0040] (e) For set E, sort by charging demand from largest to smallest; for set S, sort by usage time period from earliest to latest.

[0041] (f) For each user j in set E, find a charging pile i that meets the conditions in set S, assign it to the user, and remove the charging pile from set S.

[0042] (g) If there are remaining user demands in set E, return to step (a) and continue waiting for the next time period;

[0043] By continuously executing steps (c) to (g) in a loop until all user needs in set E are met, or the preset maximum waiting time is exceeded, the control ends.

[0044] As a preferred embodiment, the scheduling plan for the charging piles in step c further includes the following steps:

[0045] If multiple charging stations that meet the requirements are available, they will be allocated according to the following strategy:

[0046] For charging piles in set S, the charging pile with the earliest usage time is selected for allocation first.

[0047] For users in set E, prioritize assigning them to users with the greatest charging needs.

[0048] For charging stations in set S and users in set E, matching is performed based on the principle of proximity and location.

[0049] As a preferred solution, the calculation of electricity load and peak electricity consumption periods for the orderly charging system of charging piles in the community parking lot can be achieved through the following steps:

[0050] First, current and voltage data of the power grid are collected using current and voltage sensors. Then, the power load of the power grid is calculated based on the current and voltage data. Next, historical power consumption data is collected and statistically analyzed. The sliding window technique is used to calculate the average and standard deviation of the power load, and the peak power consumption period is determined through probability distribution. Finally, based on the statistical analysis results of historical power consumption data, it is determined whether the current time period is a peak power consumption period. If it is a peak power consumption period, the orderly charging system needs to be activated; otherwise, normal charging can proceed.

[0051] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0052] The technical solution of this invention can reduce the impact of charging piles in the community parking lot on the power grid by charging in an orderly manner during off-peak electricity consumption periods, while meeting the charging needs of electric vehicles, improving the charging efficiency and utilization rate of electric vehicles in the community, and improving the quality of life of the community residents. Attached Figure Description

[0053] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute a limitation thereof.

[0054] Figure 1 This is a schematic flowchart of the method of the present invention; Detailed Implementation

[0055] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of this application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0056] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0057] Furthermore, in the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0058] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more, unless explicitly defined otherwise.

[0059] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0060] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0061] The present invention will be further described below with reference to the accompanying drawings and embodiments:

[0062] An orderly charging system for residential parking lots during peak electricity consumption periods includes a cloud server, charging piles, a smart gateway, and a grid access module. The grid access module connects the charging piles in the parking lot to the power grid. The smart gateway connects the charging piles and the cloud server, sending data and status information from the charging piles to the cloud server. The cloud server is the central node of the system. The smart gateway communicates with the charging piles via a custom protocol and with the cloud server via the MQTT protocol, sending data and status information from the charging piles to the cloud server. Under this architecture, the cloud server can monitor the status and data of each charging pile in real time and dynamically adjust the charging power and charging time of each charging pile based on load and peak time period calculations, thereby achieving orderly charging services for the residential parking lot.

[0063] The charging piles charge electric vehicles in an orderly manner according to the scheduling plan, and the charging status and progress can be displayed in real time through devices such as displays.

[0064] The system also includes charging pile status sensors, power grid load sensors, and charging pile reservation status sensors. The cloud server collects, stores, and processes all the data uploaded by the sensors, and uses machine learning and data analysis to analyze the peak electricity consumption periods in real time and formulate orderly charging plans.

[0065] The charging station is also equipped with a charging station controller, which receives charging plans from the cloud server and controls the charging stations to charge electric vehicles in an orderly manner according to the plans. The cloud server also integrates a user management system and a payment system.

[0066] like Figure 1 The orderly charging method for residential parking lots based on peak electricity consumption periods, as shown, uses the above-mentioned system and includes the following steps:

[0067] a) The charging piles in the community parking lot use sensor devices to sense the charging needs of electric vehicles in the parking lot in real time and upload the charging demand data to the cloud server.

[0068] b) The cloud server uses algorithms to analyze and predict the peak electricity consumption periods, temporarily caches charging requests during those periods, and sets a waiting time.

[0069] c) After the peak electricity consumption period ends, the cloud server formulates a charging pile scheduling plan based on the cached charging requests and waiting time, and sends the plan information to the charging piles.

[0070] d) Charging stations charge electric vehicles in an orderly manner according to the scheduling plan, ensuring that as many electric vehicles as possible are charged within a limited time.

[0071] In step c, the charging pile scheduling plan includes the following steps:

[0072] Assume that there are N charging piles in the community parking lot that need to be charged in an orderly manner. The charging demand of each charging pile is Q(i), where i represents the i-th charging pile, and the charging time period is [Tstart(i), Tend(i)]. Assume that the current time is t, the peak electricity consumption period of the community is [Tpeak_start, Tpeak_end], and M users have reserved charging piles. The charging time period reserved by each user is [Tstart(j), Tend(j)], where j represents the j-th user;

[0073] Then the orderly charging algorithm formula is as follows:

[0074] 1. Initialization:

[0075] S = {i|Tstart(i) <= t, t < Tend(i)}, representing the set of currently available charging piles; E = {(j, Q(j))|Tstart(j) <= t, t < Tend(j)}, representing the set of charging demands reserved by current users;

[0076] 2. Sort E in descending order according to the charging demand;

[0077] 3. For each user j, find a charging pile i from the set S that satisfies the following conditions:

[0078] (a) Tstart(i) >= Tend(j) or Tend(i) <= Tstart(j), that is, the usage time period of the charging pile and the charging time period of the user do not overlap;

[0079] (b) Q(i) >= Q(j), that is, the remaining capacity of the charging pile should be greater than or equal to the charging demand of the user;

[0080] (c) The usage time period of the charging pile i cannot be in the peak electricity consumption period [Tpeak_start, Tpeak_end] of the community;

[0081] If a qualified charging pile is found, remove it from the set S and assign the charging pile i to user j for charging.

[0082] In addition, the charging pile scheduling plan in step c also includes the following steps:

[0083] For the remaining user demands, if there is no qualified charging pile, wait for the next time period; at the same time, if the current time is in the peak electricity consumption period [Tpeak_start, Tpeak_end] of the community, the waiting time period needs to avoid the peak electricity consumption and choose to charge during the low electricity consumption period;

[0084] During the waiting period, the cloud server provides real-time inquiry and reservation functions for charging station usage via a mobile app or other means, allowing users to check the charging station availability and reserve charging at any time. A certain waiting time is set; if no available charging station can be found within the waiting time, the user is prompted to choose another charging method or a different time slot. The specific steps are as follows:

[0085] (a) Let k = 1, which means that the current time is the kth waiting period.

[0086] (b) Calculate the start time Tstart(k) and end time Tend(k) of the next waiting period:

[0087] If the current time t is not within the peak electricity consumption period [Tpeak_start, Tpeak_end], then the start time of the next waiting period is t, and the end time is t+1.

[0088] If the current time t is within the peak electricity consumption period [Tpeak_start, Tpeak_end], then the start time of the next waiting period is Tpeak_end, and the end time is Tpeak_end+1;

[0089] (c) For sets S and E, charging pile i and user j that satisfy the following conditions will be retained in the sets:

[0090] Tstart(i) >= Tend(j) or Tend(i) <= Tstart(j), meaning that the usage time of the charging pile and the user's charging time cannot overlap;

[0091] Q(i)>=Q(j), meaning that the remaining capacity of the charging pile must be greater than or equal to the user's charging demand;

[0092] The charging pile i cannot be used during the peak electricity consumption periods of the community [Tpeak_start, Tpeak_end];

[0093] (d) If there are no matching charging piles and users in sets S and E, continue to wait for the next time period; otherwise, proceed to step (e).

[0094] (e) For set E, sort by charging demand from largest to smallest; for set S, sort by usage time period from earliest to latest.

[0095] (f) For each user j in set E, find a charging pile i that meets the conditions in set S, assign it to the user, and remove the charging pile from set S.

[0096] (g) If there are remaining user demands in set E, return to step (a) and continue waiting for the next time period;

[0097] By continuously executing steps (c) to (g) in a loop until all user needs in set E are met, or the preset maximum waiting time is exceeded, the control ends.

[0098] The charging pile scheduling plan in step c also includes the following steps: If multiple charging piles that meet the conditions are available, they are allocated according to the following strategy:

[0099] For charging piles in set S, the charging pile with the earliest usage time is selected for allocation first.

[0100] For users in set E, prioritize assigning them to users with the greatest charging needs.

[0101] For charging stations in set S and users in set E, matching is performed based on the principle of proximity and location.

[0102] The calculation of electricity load and peak electricity consumption periods for the orderly charging system of the community parking lot can be achieved through the following steps:

[0103] First, current and voltage data of the power grid are collected using current and voltage sensors. Then, the power load of the power grid is calculated based on the current and voltage data. Next, historical power consumption data is collected and statistically analyzed. The sliding window technique is used to calculate the average and standard deviation of the power load, and the peak power consumption period is determined through probability distribution. Finally, based on the statistical analysis results of historical power consumption data, it is determined whether the current time period is a peak power consumption period. If it is a peak power consumption period, the orderly charging system needs to be activated; otherwise, normal charging can proceed.

[0104] These strategies in the method of this invention can be adjusted according to actual needs to achieve optimal charging results. It is important to note that when allocating charging stations, factors such as the charging station's capacity and charging speed must be considered to ensure a smooth charging process. Furthermore, to facilitate user charging, functions such as real-time inquiry and reservation of charging station usage can be provided through a mobile app or other means, allowing users to check the charging station's availability and schedule charging at any time.

[0105] The core idea of ​​this invention is to add restrictions on avoiding peak electricity consumption periods in residential areas, based on the charging pile capacity and charging time period, thus ensuring that the charging process does not affect the community's electricity consumption. At the same time, it also considers the limitations on the charging pile's usage time period, ensuring the orderly use of the charging pile.

[0106] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0107] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention without departing from the principles and spirit of the present invention. Any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention shall still fall within the scope of the technical solution of the present invention.

Claims

1. A method for orderly charging in residential parking lots during peak electricity consumption periods, characterized in that: The system includes a cloud server, charging piles, intelligent gateways, and grid access modules. The grid access module connects the charging piles in the community parking lot to the power grid. The intelligent gateway is connected between the charging piles and the cloud server, sending the data and status information of the charging piles to the cloud server. The cloud server is the central node of the system, monitoring the status and data information of each charging pile in real time, and dynamically adjusting the charging power and charging time period of each charging pile according to the calculation results of load and peak time periods. It includes the following steps: a). The charging piles in the community parking lot use sensor devices to perceive the charging demand of electric vehicles in the parking lot in real time and upload the charging demand data to the cloud server; b). The cloud server analyzes and predicts the peak power consumption period through algorithms, temporarily caches the charging requests during this period, and sets a waiting time; c). After the peak power consumption period ends, the cloud server formulates a scheduling plan for the charging piles according to the cached charging requests and waiting time, and sends the plan information to the charging piles; d). The charging piles charge the electric vehicles in an orderly manner according to the scheduling plan, ensuring that as many electric vehicles as possible are fully charged within a limited time; The scheduling plan for the charging piles in step c includes the following steps: Suppose there are N charging piles in the community parking lot that need to be charged in an orderly manner. The charging demand of each charging pile is Q(i), where i represents the i-th charging pile, and the charging time period is [Tstart(i), Tend(i)]. Suppose the current time is t, the peak power consumption period of the community is [Tpeak_start, Tpeak_end], and M users have reserved the charging piles. The charging time period reserved by each user is [Tstart(j), Tend(j)], where j represents the j-th user; Then the orderly charging algorithm formula is as follows:

1. Initialization: S = {i|Tstart(i) <= t, t < Tend(i)}, representing the set of currently available charging piles; E = {(j, Q(j))|Tstart(j) <= t, t < Tend(j)}, representing the set of charging demands reserved by current users; 2. Sort E in descending order according to the charging demand; 3. For each user j, find the charging pile i from the set S that satisfies the following conditions: a) Tstart(i) >= Tend(j) or Tend(i) <= Tstart(j), that is, the usage time period of the charging pile and the charging time period of the user do not overlap; b) Q(i) >= Q(j), that is, the remaining capacity of the charging pile is greater than or equal to the charging demand of the user; c) The usage time period of the charging pile i cannot be within the peak power consumption period [Tpeak_start, Tpeak_end] of the community; If a qualified charging pile is found, remove it from the set S and assign the charging pile i to user j for charging; The scheduling plan for the charging piles in step c also includes the following steps: For the remaining user demand, if there are no suitable charging stations, users will need to wait for the next time period. At the same time, if the current time is during the peak electricity consumption period of the community [Tpeak_start, Tpeak_end], the waiting period should avoid the peak electricity consumption period and be scheduled for charging during the off-peak electricity consumption period. During the waiting period, the cloud server provides real-time inquiry and reservation functions for charging station usage via a mobile app or other means, allowing users to check the charging station availability and reserve charging at any time. A certain waiting time is set; if no available charging station can be found within the waiting time, the user is prompted to choose another charging method or a different time slot. The specific steps are as follows: (a) Let k = 1, indicating that the current time period is the kth waiting period; (b) Calculate the start time Tstart(k) and end time Tend(k) of the next waiting period: If the current time t is not within the peak electricity consumption period [Tpeak_start, Tpeak_end], then the start time of the next waiting period is t, and the end time is t+1. If the current time t is within the peak electricity consumption period [Tpeak_start, Tpeak_end], then the start time of the next waiting period is Tpeak_end, and the end time is Tpeak_end+1; (c) For sets S and E, charging pile i and user j that satisfy the following conditions will be retained in the set: Tstart(i) >= Tend(j) or Tend(i) <= Tstart(j), meaning that the usage time of the charging pile and the user's charging time cannot overlap; Q(i) >= Q(j), meaning that the remaining capacity of the charging pile must be greater than or equal to the user's charging demand; The charging station i cannot be used during the peak electricity consumption periods of the community [Tpeak_start, Tpeak_end]. (d) If there are no matching charging piles and users in sets S and E, continue to wait for the next time period; otherwise, proceed to step (e). (e) For set E, sort by charging demand from largest to smallest; for set S, sort by usage time period from earliest to latest. (f) For each user j in set E, find a charging pile i that meets the conditions in set S, assign it to the user, and remove the charging pile from set S. (g) If there are remaining user demands in set E, return to step (a) and continue waiting for the next time period; By continuously executing steps (c) to (g) in a loop until all user needs in set E are met, or the preset maximum waiting time is exceeded, the control ends.

2. The method for orderly charging in a residential parking lot based on peak electricity consumption periods according to claim 1, characterized in that, The scheduling plan for charging piles in step c also includes the following steps: If multiple charging stations that meet the requirements are available, they will be allocated according to the following strategy: For charging piles in set S, the charging pile with the earliest usage time is selected for allocation first. For users in set E, prioritize assigning them to users with the greatest charging needs. For charging stations in set S and users in set E, matching is performed based on the principle of proximity and location.

3. The method for orderly charging in a residential parking lot based on peak electricity consumption periods according to claim 1, characterized in that, The calculation of electricity load and peak electricity consumption periods for the orderly charging system of the community parking lot can be achieved through the following steps: First, current and voltage data of the power grid are collected using current and voltage sensors. Then, the power load of the power grid is calculated based on the current and voltage data. Next, historical power consumption data is collected and statistically analyzed. The sliding window technique is used to calculate the average and standard deviation of the power load, and the peak power consumption period is determined through probability distribution. Finally, based on the statistical analysis results of historical power consumption data, it is determined whether the current time period is a peak power consumption period. If it is a peak power consumption period, the orderly charging system needs to be activated; otherwise, normal charging can proceed.

4. The method for orderly charging in a residential parking lot based on peak electricity consumption periods according to claim 1, characterized in that, It also includes charging pile status sensors, power grid load sensors, and charging pile reservation status sensors. The cloud server collects, stores, and processes all the data uploaded by the sensors, and uses machine learning and data analysis to analyze the peak electricity consumption periods in real time and formulate orderly charging plans.

5. The method for orderly charging in a residential parking lot based on peak electricity consumption periods according to claim 1, characterized in that, The charging pile is also equipped with a charging pile controller, which receives the charging plan issued by the cloud server and controls the charging pile to charge the electric vehicle in an orderly manner according to the plan.

6. The method for orderly charging in a residential parking lot based on peak electricity consumption periods according to claim 1, characterized in that, The cloud server also integrates a user management system and a payment system.

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