A safety management method and system for charging stations

Abstract

The present invention discloses a safety management method and system for charging stations, which relate to the technical field of charging station management, including: collecting historical charging data of each charging port, calculating the power utilization rate and maintenance urgency rate based on the data, and then deriving a maintenance index for judging whether to send maintenance instructions or prioritize charging interfaces; screening out designated charging interfaces and their charging data based on data from the previous fifteen days, and predicting the power consumption in each time period in combination with weather conditions; predicting the total power consumption of each interface by calculating a weighted error value; allocating power storage blocks and buffer storage blocks to each charging interface, and adopting a supplementary strategy to manage unused power; when power is insufficient, calculating the required total amount and executing assistance strategies in sequence to ensure the smooth completion of charging tasks; this management method effectively improves the safety and operational efficiency of charging stations through refined maintenance plans and intelligent power distribution.

Description

Technical Field

[0001] The present invention relates to the technical field of charging station management, and in particular to a safety management method and system for charging stations. Background Art

[0002] Against the backdrop of the rapid development of the new energy vehicle industry, the safety management of charging stations, as critical infrastructure, is particularly important. With the continued growth in the number of electric vehicles, the number of charging stations is also rapidly increasing to meet the growing demand. However, the safety management of charging stations faces many challenges, including equipment failures, safety hazards, and user behavior management.

[0003] Traditional charging station management methods often rely on manual inspections and regular maintenance, which is not only inefficient but also makes it difficult to detect and address potential safety issues in a timely manner. With the continuous advancement of technologies such as the Internet of Things, big data, and artificial intelligence, intelligent and systematic charging station safety management solutions are becoming increasingly possible.

[0004] Traditional safety management methods for charging stations often lack real-time monitoring and intelligent analysis of the power utilization of charging ports, and are unable to accurately assess the power loss of each charging port. This makes it impossible to timely inspect or adjust charging ports with large power losses, resulting in power waste. Secondly, in traditional methods, power distribution often lacks flexibility, and power distribution strategies cannot be adjusted based on historical power consumption data, which may lead to power shortages during peak hours. Finally, when a charging port is low on power, the charging task can often only be interrupted without effective response measures. This leads to interruption of charging services, which may cause abnormalities in the vehicle battery management system, thereby affecting battery life or causing battery failure, and may also cause safety hazards such as equipment damage or electrical fires. Summary of the Invention

[0005] (1) Technical problems solved

[0006] In response to the technical problems in the background technology, the present invention proposes a safety management method and system for charging stations, which determines whether to send maintenance instructions or sort charging interfaces by calculating a maintenance index; predicts the power consumption in each time period of the next day based on historical charging data and weather data; allocates power storage blocks and buffer storage blocks to each charging interface, and implements supplementary strategies and assistance strategies; thereby solving the technical problems recorded in the background technology.

[0007] (2) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A safety management method for a charging station, comprising:

[0010] Obtain historical charging data for each charging port; at the end of each day, calculate the power utilization rate of each charging port in each time period, and calculate the maintenance urgency rate of each charging port based on the maintenance time; calculate the maintenance index of each charging port based on the power utilization rate and maintenance urgency rate; select and send maintenance instructions or sort the charging ports based on the maintenance index;

[0011] Based on the previous fifteen days' historical charging records, the system selects charging ports with a maintenance index no less than the maintenance index threshold, the corresponding dates, and the charging data for each time period on those dates. Combined with weather data, the system predicts the energy consumption of each charging port in each time period. Combined with the weighted comprehensive error value, the system calculates the predicted total energy consumption for each charging port in each time period.

[0012] Each charging interface is assigned several energy storage blocks and a buffer storage block; the power supply operation of the corresponding energy storage block is carried out according to the time period, and the unused energy in the energy storage block is supplemented by a strategy; when the energy in the energy storage block is insufficient to complete the remaining charging task, the total amount of energy required is calculated, and the assistance strategy is executed in sequence according to the order of the charging interfaces.

[0013] Specifically, at the end of each day, the charging record data of each charging port is obtained, including the total amount of power consumed by each charging port in each time period. And the total amount of actual charging energy of all charging devices connected to each charging port in each time period After combining, we can get the energy utilization rate Ecr of each charging port in each time period. i j , the expression is: Where i represents the i-th charging port in the charging station, j represents the j-th time period in a day; Te0 represents the power utilization threshold;

[0014] Get the maintenance time of each charging interface, calculate the difference between the current time and the maintenance time of each charging interface, and record it as the time difference Td i ; Calculate the maintenance urgency rate Um of each charging interface i , the expression is: Wherein, Td0 represents the time difference threshold.

[0015] Furthermore, the maintenance urgency rate Um of each charging port is i , and the energy utilization rate Ecr in each time period i j Combined, we get the maintenance index Mi of each charging port i , the expression is:

[0016] Wherein, α and β represent the weight coefficients of power utilization rate and maintenance urgency rate respectively, and α+β=1;

[0017] The preset maintenance index threshold Mi0, for the maintenance index Mi i For charging interfaces with maintenance index less than the threshold value Mi0, a maintenance instruction is sent to the corresponding charging interface; for charging interfaces with maintenance index Mi i The charging interface with a maintenance index not less than the maintenance index threshold Mi0 is i Sort the charging port numbers from smallest to largest.

[0018] Specifically, obtain the maintenance index of each charging interface within the previous fifteen days, filter out the charging interfaces with a maintenance index not less than the maintenance index threshold and the corresponding dates, and the charging data for each time period under the corresponding dates;

[0019] Get the weather data for all time periods under the selected date, including both rainy and snowy days, and mark them accordingly. For time periods with both rainy and snowy days, the weather with the longer duration is used as the weather for that time period.

[0020] Starting from the first time period of the next day, retrieve several sets of weather data and charging data for each charging port within the time period of the previous fifteen days; obtain weather forecast data for each time period of the next day. If it is rainy or snowy within the time period, filter out charging data with weather data indicating rainy or snowy days; if it is non-rainy or snowy within the time period, filter out charging data with weather data indicating non-rainy or snowy days.

[0021] Furthermore, the total power consumption of each selected charging port in the time period is placed in a time series graph in chronological order; based on the data of several points in the time series graph, a linear regression method is used to perform a straight line fitting;

[0022] Record the interval between adjacent point data on the horizontal axis. Based on the position of the last point data on the horizontal axis, fit the vertical coordinate data of the next point data that is one interval away from the last point data. Record this as the first total power consumption data FTec for this time period on the next day.

[0023] Based on the total amount of energy consumed Tec and the total amount of energy actually charged Tac for each charging interface in the selected time period, the energy utilization rate Ecr of each group of data is calculated, and the average energy utilization rate of the charging interface in the time period is obtained by performing an average operation. Combined with the first total power consumption data FTec and the average power utilization rate The second total power consumption data STec of the time period of the next day is obtained, and the expression is:

[0024] Furthermore, obtaining the second total power consumption data of each charging interface in each time period within the previous fifteen days, and calculating the prediction error value of the corresponding charging interface in the corresponding time period based on the total power consumption data of the corresponding charging interface in the corresponding time period;

[0025] The prediction error value pe for each day k Perform weight calculation to obtain the weight l of each day in the first fifteen days k ,and

[0026]

[0027] The prediction error value pe of the corresponding charging interface in the corresponding time period on the previous k day k And the corresponding weight l k Combined, we get the comprehensive error value Pe, which is expressed as:

[0028] The second total power consumption data of each charging interface in each time period of the next day is added to the comprehensive error value of the corresponding charging interface in the corresponding time period to obtain the predicted total power consumption of each charging interface in each time period of the next day.

[0029] Specifically, when entering the next time period, if the electric energy in the electric energy storage block of the previous time period has not been used up, the replenishment strategy is triggered: the remaining electric energy in the electric energy storage block of the previous time period is transferred to the electric energy storage block of the next time period, and so on. If the electric energy storage block of the last time period of the day still has some electric energy that has not been consumed at the end of the time period, the remaining electric energy will be transferred to the buffer storage block of the corresponding charging interface.

[0030] Furthermore, if the energy in the energy storage block of a time period has been used up, and both the time period and the charging task of the charging device have not yet ended, then the remaining time t2 of the time period and the duration t1 of the charging task within the time period at the current moment, as well as the completion degree C1 of the charging task just after entering the current time period and the completion degree C2 when the energy has just been used up, are combined to calculate the completion degree C3 of the charging task if there is sufficient energy in the energy storage block of the time period and at the end of the time period. The expression is: After transformation, we get:

[0031]

[0032] Combined with the total amount of electric energy E1 in the corresponding electric energy storage block when the charging task just enters the current time period, the total amount of electric energy E2 required to complete the charging task is calculated, and the expression is: After transformation, we get:

[0033]

[0034] If the total amount of electric energy in the buffer storage block is less than E2, the assistance strategy is triggered after the electric energy in the buffer storage block is transferred to the electric energy storage block in the current time period.

[0035] Furthermore, based on the sorted charging port numbers, the first-ranked charging port numbers are taken out in turn, and the assistance strategy is executed:

[0036] For the charging plug currently in charge, the total amount of energy still required for the charging task in the current time period is also calculated; based on the remaining amount of energy in the corresponding energy storage block, it is determined whether the total amount of energy E2 required by the charging interface with insufficient energy can be met;

[0037] If it is not satisfied, the remaining total energy of the current energy storage block after completing the current charging task will be transferred to the energy storage block corresponding to the charging interface with insufficient power, and then the judgment of the next charging interface will be carried out in turn;

[0038] If the conditions are met, the power of E2 is taken out from the current power storage block and transmitted to the power storage block corresponding to the charging interface with insufficient power;

[0039] If the total amount of remaining energy in the energy storage blocks of all other charging interfaces in the current time period still does not meet the total amount of energy E2 required by the insufficiently powered charging interface, then energy is replenished from the insufficiently powered charging interface in the energy storage blocks of the next time period;

[0040] If the energy storage blocks of multiple charging interfaces are insufficient in energy at the same time within a time period, the last charging interface is taken out in turn based on the order of these charging interfaces and the assistance strategy is executed.

[0041] A safety management system for charging stations, comprising:

[0042] The maintenance judgment module is used to obtain historical charging record data for each charging port. At the end of each day, it calculates the power utilization rate of each charging port in each time period and calculates the maintenance urgency rate of each charging port based on the maintenance time. It also calculates the maintenance index of each charging port based on the power utilization rate and the maintenance urgency rate. Based on the maintenance index, it selects to send maintenance instructions or sort the charging ports.

[0043] The power forecasting module uses the previous 15 days' historical charging record data to screen out charging ports with a maintenance index no less than the maintenance index threshold, the corresponding dates, and the charging data for each time period on those dates. Combined with weather data, it predicts the power consumption of each charging port in each time period. Combined with the weighted comprehensive error value, it calculates the predicted total power consumption of each charging port in each time period.

[0044] The power replenishment module allocates several power storage blocks and one buffer storage block to each charging interface; it supplies power to the corresponding power storage blocks according to time periods and implements a replenishment strategy for the unused power in the power storage blocks; when the power in the power storage blocks is insufficient to complete the remaining charging task, it calculates the total amount of power required and executes the assistance strategy in sequence according to the order of the charging interfaces.

[0045] (3) Beneficial effects

[0046] The present invention provides a safety management method and system for charging stations, which have the following beneficial effects:

[0047] 1. By meticulously acquiring and analyzing historical charging data for each charging port, including key indicators such as charging duration, total energy consumed, and total energy actually charged, and combining this with maintenance time to calculate the maintenance urgency rate, this system provides a scientific basis for charging port maintenance management. By comprehensively considering energy utilization and maintenance urgency, a maintenance index is calculated, which not only reflects the current energy loss of the charging port but also indicates the urgency of future maintenance. The ability to issue maintenance instructions or prioritize charging ports effectively reduces energy loss and improves charging efficiency, while also providing a data foundation for implementing assistance strategies when power is insufficient.

[0048] 2. Utilizing historical charging records and weather data, the system accurately predicts the energy consumption of charging ports over various time periods. This system also takes into account the impact of weather changes on energy consumption, enabling advance planning of energy distribution to avoid power shortages during inclement weather or peak periods. This management strategy not only improves the energy utilization efficiency of the charging station but also ensures a stable power supply for charging equipment when needed, reducing the risk of charging interruptions or equipment damage due to power shortages, further enhancing the safety and reliability of the charging station.

[0049] 3. By allocating energy storage blocks and buffer storage blocks to each charging interface and designing a reasonable energy replenishment and assistance strategy, this step ensures that even if the energy in the energy storage block is insufficient within a certain time period, energy can be quickly obtained from other sources or energy storage blocks in adjacent time periods to meet charging needs; this flexible energy management method not only avoids charging interruptions caused by insufficient energy, but also reduces energy waste and improves the overall energy efficiency of the charging station; by giving priority to the use of energy in charging interfaces with lower maintenance indexes, energy distribution is further optimized and energy loss is reduced, thereby ensuring charging efficiency while also improving the safety of the charging station. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 A schematic diagram of the steps of a safety management method for charging stations provided by the present invention;

[0051] Figure 2 A flowchart of a safety management method for charging stations provided by the present invention;

[0052] Figure 3 This is a structural diagram of a safety management system for charging stations provided by the present invention. DETAILED DESCRIPTION

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0054] refer to Figure 1 and Figure 2 The present invention provides a safety management method for charging stations, comprising:

[0055] Step 1: Obtain historical charging record data for each charging port; at the end of each day, calculate the power utilization rate of each charging port in each time period, and calculate the maintenance urgency rate of each charging port based on the maintenance time; calculate the maintenance index of each charging port based on the power utilization rate and the maintenance urgency rate; and select and send maintenance instructions or sort the charging ports based on the maintenance index;

[0056] The step one includes the following steps:

[0057] Step 101: Obtain historical charging record data for each charging port in the charging station. The historical charging record data represents charging data for each charging port in each past time period, including charging duration, total power consumption, total actual charging power, and maintenance index data for each charging port in each time period. The time period is a one-hour period, specifically starting at midnight, with a day divided into 24 one-hour time periods. The total power consumption represents the total power consumption associated with each charging port, and the actual charging power represents the total power actually received by the charging device connected to each charging port, which includes electric vehicles, electric vehicles, etc.

[0058] At the end of each day, the charging record data of each charging port is obtained, including the total amount of power consumed by each charging port in each time period. And the total amount of actual charging energy of all charging devices connected to each charging port in each time period Where i represents the i-th charging port in the charging station, j represents the j-th time period in a day, the first time period represents the time period from 0:00 to 1:00, and so on;

[0059] The total amount of power consumed by each charging port in each time period And the total amount of actual charging energy of all charging devices connected to each charging port in each time period Combined, the energy utilization rate Ecr of each charging port in each time period is obtained i j , the expression is: Among them, Te0 represents the energy utilization threshold, which represents the inevitable energy utilization caused by environmental changes. It is obtained by experimental simulation of the charging port that has just been repaired under various environments; the energy utilization rate Ecr i j The larger the value, the smaller the power loss of the charging interface; the power utilization rate Ecr i j The smaller the value, the greater the power loss of the charging port;

[0060] Step 102: Obtain the maintenance time of each charging interface. The maintenance time is stored in the form of a timestamp, which refers to the specific time when the last maintenance of each charging interface was completed;

[0061] At the end of each day, calculate the difference between the current time (i.e. 24:00 on the day, converted into a timestamp) and the maintenance time of each charging port and record it as the time difference Td i ; Set the time difference Td of each charging interface separately iPerform a ratio operation with the time difference threshold Td0 to obtain the maintenance urgency rate Um of each charging interface i , the expression is: The time difference threshold represents the duration threshold between two maintenances of the charging interface, which is obtained by averaging the duration between two maintenances of each charging interface in history; the maintenance urgency rate Um i The larger the value, the shorter the time since the last maintenance of the charging interface, that is, the less urgent the maintenance of the charging interface. i The smaller the value, the longer the time since the last maintenance of the charging port, which means the more urgent the maintenance of the charging port.

[0062] Step 103: The maintenance urgency rate Um of each charging port is i , and the energy utilization rate Ecr in each time period i j Combined, we get the maintenance index Mi of each charging port i , the expression is:

[0063] Where α and β represent the weight coefficients of power utilization rate and maintenance urgency rate respectively. The specific values ​​are set by the charging station manager, and α + β = 1;

[0064] At the end of the day, the maintenance index Mi of each charging port in the historical charging record data is i Make corresponding updates;

[0065] Step 104: The charging station manager presets a maintenance index threshold Mi0. i The charging interface with a maintenance index less than the threshold value Mi0 needs to be repaired to reduce the large amount of power loss, so the maintenance instruction of the corresponding charging interface is sent; i The charging interface with a maintenance index not less than the threshold value Mi0 can be used normally for subsequent charging operations and can be used according to the maintenance index Mi i Sort the charging port numbers from smallest to largest.

[0066] When using, combine the contents in steps 101 to 104:

[0067] By meticulously acquiring and analyzing the historical charging record data of each charging port, including key indicators such as charging duration, total power consumption, and total actual charged energy, and combining it with maintenance time to calculate the maintenance urgency rate, a scientific basis is provided for the maintenance and management of the charging interface. Through a comprehensive consideration of power utilization and maintenance urgency, a maintenance index is calculated, which not only reflects the current power loss of the charging interface, but also indicates the urgency of future maintenance. Choosing to send maintenance instructions or sorting charging interfaces can effectively reduce power loss and improve charging efficiency, while providing a data basis for subsequent assistance strategies implemented when power is insufficient.

[0068] Step 2: Based on the historical charging record data from the previous fifteen days, select charging ports with a maintenance index no less than the maintenance index threshold, the corresponding dates, and the charging data for each time period on the corresponding dates; combine weather data to predict the power consumption of each charging port in each time period; and calculate the predicted total power consumption of each charging port in each time period by combining the weighted comprehensive error value;

[0069] The step 2 includes the following steps:

[0070] Step 201: Obtain the maintenance index of each charging interface within the previous fifteen days from the historical charging record data, and select the charging interfaces with maintenance indexes not less than the maintenance index threshold, the corresponding dates, and the charging data for each time period on the corresponding dates. For example, if the maintenance index of a charging interface on the third day is not less than the maintenance index threshold, then retrieve the charging data for that charging interface for each time period within the previous third day.

[0071] Get the weather data for all time periods under the selected date, including both rainy and snowy days, and mark them accordingly. If both rainy and snowy days occur in the same time period, the weather with the longer duration will be used as the weather for that time period.

[0072] The charging data and weather data of each screened charging interface in each time period are stored in the prediction data source table of the corresponding charging interface in the corresponding time period;

[0073] Step 202: Based on the weather data and charging data for each time period obtained, and in combination with the weather forecast data for each time period of the next day, the charging data for each time period of the next day is predicted, specifically:

[0074] Starting from the first time period of the next day, extract several sets of weather data and charging data for each charging interface within the previous fifteen days from the prediction data source table of each charging interface in that time period. One weather data set and charging data set constitute one set.

[0075] Obtain weather forecast data for the first time period of the next day. If the time period is rainy or snowy, filter out charging data for rainy or snowy days from the retrieved sets of weather data and charging data. If the time period is non-rainy or snowy, filter out charging data for non-rainy or snowy days from the retrieved sets of weather data and charging data.

[0076] Step 203: Obtain several groups of total power consumption and total charged power for each charging port during the time period from the screened charging data. Place the total power consumption for each charging port during the time period in chronological order (i.e., by the first few days, with the fifteenth day being the first), into a time series graph, with the date on the horizontal axis and the corresponding total power consumption on the vertical axis. Based on the data points in the time series graph, use a univariate linear regression method to fit these data points into a straight line.

[0077] Record the interval between adjacent point data on the horizontal axis. Based on the position of the last point data on the horizontal axis, fit the vertical coordinate data of the next point data that is the interval distance from the last point data. Use the fitted vertical coordinate data of the next point data as the first total electric energy consumption data FTec for the time period of the next day.

[0078] Based on the screened data of the total energy consumption Tec and the total energy charged Tac of each charging interface in this time period, the energy utilization rate Ecr of each group of data is calculated, and the energy utilization rate of multiple groups of data is averaged to obtain the average energy utilization rate of the charging interface in this time period. Combined with the first total power consumption data FTec and the average power utilization rate The second total power consumption data STec of the time period of the next day is obtained, and the expression is:

[0079]

[0080] Obtain the second total power consumption data of each charging port in each time period of the next day in sequence according to the above method;

[0081] Step 204: Obtain the second total power consumption data of each charging interface in each time period within the previous fifteen days, and calculate the prediction error value pe of the corresponding charging interface in the corresponding time period based on the total power consumption data of the corresponding charging interface in the corresponding time period;

[0082] For the prediction error value pe of the same charging interface in the same time period on the previous k days k , perform weight calculation on the forecast error value of each day, and obtain the weight l of each day in the first fifteen days k ,and The closer to the next day, the higher the reference value of the calculated forecast error value;

[0083] The prediction error value pe of the same charging interface in the same time period on the kth day k And the corresponding weight l k Combined, we get the comprehensive error value Pe, which is expressed as:

[0084] Step 205: Add the second total power consumption data of each charging interface in each time period of the next day to the comprehensive error value of the corresponding charging interface in the corresponding time period to obtain the predicted total power consumption of each charging interface in each time period of the next day.

[0085] When using, combine the contents in steps 201 to 205:

[0086] By using historical charging record data and weather data, the power consumption of the charging interface in various time periods in the future can be accurately predicted. The impact of weather changes on power consumption is also taken into account, so that power distribution can be planned in advance to avoid power shortages during bad weather or peak power consumption periods. This management strategy not only improves the power utilization efficiency of the charging station, but also ensures that the charging equipment can obtain a stable power supply when needed, reducing the risk of charging interruptions or equipment damage due to insufficient power, and further enhancing the safety and reliability of the charging station.

[0087] Step 3: Allocate several energy storage blocks and one buffer storage block to each charging port; supply power to the corresponding energy storage blocks according to time periods, and implement a replenishment strategy for the unused energy in the energy storage blocks; when the energy in the energy storage blocks is insufficient to complete the remaining charging task, calculate the total amount of energy required, and implement the assistance strategy in sequence based on the order of the charging ports;

[0088] The step three includes the following steps:

[0089] Step 301: Allocate 24 energy storage blocks to each charging interface, one corresponding to each of the 24 time periods of a day. Based on the predicted total energy consumption of each charging interface in each time period for the next day, transfer the corresponding total amount of energy from each charging interface's 24 energy storage blocks for the next day to be used for energy consumption in each charging interface in each time period. The sources of the transferred energy are the buffer storage blocks of each charging interface and the energy center. The buffer storage blocks are used to store unused energy each day. When transferring energy from each energy storage block for the next day, the energy in the buffer storage block of the corresponding charging interface is first used as the energy source. If the energy in the buffer storage block is insufficient to replenish the energy demand of all energy storage blocks for the next day (i.e., the predicted total energy consumption), the energy center is used as the source of the remaining energy after the energy in the buffer storage block is consumed.

[0090] The 24 energy storage blocks on the same charging port are independent of each other when in use, that is, at most only one energy storage block can be used at a time; and the 24 energy storage blocks on the same charging port can transmit and receive energy from each other;

[0091] The energy storage blocks between different charging interfaces are independent of each other, that is, each energy storage block can only be used by one charging interface; within the same time period, each energy storage block between different charging interfaces can transmit and receive energy from each other;

[0092] Step 302: At the beginning of the next day, start the first energy storage block of each charging port. The first energy storage block corresponds to the energy storage block of the first time period of the next day. When a charging device is charging, start the energy transmission of the first energy storage block.

[0093] When entering the next time period, if the energy in the energy storage block of the previous time period has not been used up, the replenishment strategy is triggered, specifically, the remaining energy in the energy storage block of the previous time period is transferred to the energy storage block of the next time period. Similarly, if the energy storage block of the last time period of the day still has some energy not consumed at the end of the time period, the remaining energy is transferred to the buffer storage block of the corresponding charging interface;

[0094] Step 303: If the electric energy in the energy storage block of a time period has been used up, and both the time period and the charging task of the charging device have not yet been completed, then, based on the remaining time t2 of the time period and the duration t1 of the charging task within the time period at the current moment, as well as the completion degree C1 of the charging task just entering the current time period and the completion degree C2 of the charging task just after the electric energy is used up, calculate the completion degree C3 of the charging task at the end of the time period if there is sufficient electric energy in the electric energy storage block of the time period. The expression is: Since the completion degree of the charging task does not exceed 1, the conversion results in:

[0095] Combined with the total amount of electric energy E1 in the corresponding electric energy storage block when the charging task just enters the current time period, the total amount of electric energy E2 required to complete the charging task is calculated, and the expression is: After transformation, we get:

[0096]

[0097] Transfer all the energy in the buffer storage block of the corresponding charging port to the energy storage block for the current time period. If the total amount of energy in the buffer storage block is less than E2, after transferring the energy in the buffer storage block to the energy storage block for the current time period, trigger the assistance strategy to determine whether there is any remaining energy in the energy storage blocks of the other charging ports for the current time period.

[0098] Step 304: Based on the sorted charging port numbers, the first-ranked charging port number is sequentially selected, and an assistance strategy is executed to determine whether the charging port can provide power to the insufficient charging port. The assessment begins with the charging port with the lowest maintenance index because the lower the maintenance index, the greater the power loss. To increase power utilization, the power storage block in the charging port with the highest power loss is transferred to the power storage block of the insufficient charging port.

[0099] For the charging plug that is not performing a charging task, it is directly determined whether the remaining amount of electric energy in the corresponding electric energy storage block can meet the total amount of electric energy E2 required by the charging interface with insufficient power;

[0100] For the charging plug in progress, the total amount of energy still required for the charging task in the current time period is calculated based on the duration, completion level, and energy consumption of the charging task. The remaining amount of energy in the energy storage block is used to determine whether the total amount of energy E2 required by the insufficient charging interface can be met.

[0101] If the requirement is not met, the remaining energy of the current energy storage block after completing the current charging task will be transferred to the energy storage block corresponding to the charging interface with insufficient power, and then the next charging interface will be judged in turn; if the requirement is met, the energy E2 will be taken from the current energy storage block and transferred to the energy storage block corresponding to the charging interface with insufficient power;

[0102] If the total amount of remaining energy in the energy storage blocks of all other charging interfaces in the current time period still does not meet the total amount of energy E2 required by the insufficiently powered charging interface, then energy is replenished from the insufficiently powered charging interface in the energy storage blocks of the next time period;

[0103] Step 305: If the power storage blocks of multiple charging interfaces are insufficient in power at the same time within a time period, the last charging interface is taken out in turn based on the order of the charging interfaces, and the assistance strategy is executed.

[0104] When using, combine the contents in steps 301 to 305:

[0105] By allocating an energy storage block and a buffer storage block to each charging interface and designing a reasonable energy replenishment and assistance strategy, this step ensures that even if the energy in the energy storage block is insufficient within a certain time period, energy can be quickly obtained from other sources or energy storage blocks in adjacent time periods to meet charging needs; this flexible energy management method not only avoids charging interruptions caused by insufficient energy, but also reduces energy waste and improves the overall energy efficiency of the charging station; by giving priority to the use of energy in charging interfaces with lower maintenance indexes, energy distribution is further optimized and energy loss is reduced, thereby ensuring charging efficiency while also improving the safety of the charging station.

[0106] refer to Figure 3 The present invention also provides a safety management system for charging stations, including:

[0107] The maintenance judgment module is used to obtain historical charging record data for each charging port. At the end of each day, it calculates the power utilization rate of each charging port in each time period and calculates the maintenance urgency rate of each charging port based on the maintenance time. It also calculates the maintenance index of each charging port based on the power utilization rate and the maintenance urgency rate. Based on the maintenance index, it selects to send maintenance instructions or sort the charging ports.

[0108] The power forecasting module uses the previous 15 days' historical charging record data to screen out charging ports with a maintenance index no less than the maintenance index threshold, the corresponding dates, and the charging data for each time period on those dates. Combined with weather data, it predicts the power consumption of each charging port in each time period. Combined with the weighted comprehensive error value, it calculates the predicted total power consumption of each charging port in each time period.

[0109] The power replenishment module allocates several power storage blocks and one buffer storage block to each charging interface; it supplies power to the corresponding power storage blocks according to time periods and implements a replenishment strategy for the unused power in the power storage blocks; when the power in the power storage blocks is insufficient to complete the remaining charging task, it calculates the total amount of power required and executes the assistance strategy in sequence according to the order of the charging interfaces.

[0110] In the above embodiments, all or part of the embodiments may be implemented using software, hardware, firmware, or any combination thereof. When implemented using software, all or part of the embodiments may be implemented in the form of a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer storage medium or transmitted via a computer storage medium.

[0111] Computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. Computer storage media can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives (SSDs)).

[0112] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A safety management method for charging stations, characterized by: The steps include: Obtain historical charging data for each charging port; at the end of each day, calculate the power utilization rate of each charging port in each time period, and calculate the maintenance urgency rate of each charging port based on the maintenance time; calculate the maintenance index of each charging port based on the power utilization rate and maintenance urgency rate; select and send maintenance instructions or sort the charging ports based on the maintenance index; Based on the historical charging record data from the previous fifteen days, the charging ports with a maintenance index no less than the maintenance index threshold and the corresponding dates are selected, as well as the charging data for each time period on the corresponding dates. Combined with weather data, the power consumption of each charging port in each time period is predicted. Specifically: Get the weather data for all time periods under the selected date, including both rainy and snowy days, and mark them accordingly. For time periods with both rainy and snowy days, the weather with the longer duration is used as the weather for that time period. Starting from the first time period of the next day, retrieve several sets of weather data and charging data for each charging port within the same time period of the previous fifteen days; obtain weather forecast data for each time period of the next day; if the time period is rainy or snowy, filter out charging data with weather data indicating rainy or snowy days; if the time period is non-rainy or snowy, filter out charging data with weather data indicating non-rainy or snowy days; The total amount of power consumed by each selected charging port in the time period is placed in a time series graph in chronological order; based on the data of several points in the time series graph, a linear regression method is used to perform a straight line fitting; Record the interval between adjacent point data on the horizontal axis. Based on the position of the last point data on the horizontal axis, fit the vertical coordinate data of the next point data that is one interval away from the last point data. Record this as the first total power consumption data FTec for this time period on the next day. Based on the total amount of energy consumed Tec and the total amount of energy actually charged Tac for each charging port in the selected time period ， Calculate the energy utilization rate Ecr for each set of data ， Perform mean calculation to obtain the average power utilization rate of the charging interface in this time period Combined with the first total power consumption data FTec and the average power utilization rate Get the second total power consumption data STec for the next day ， The expression is: Combined with the weighted comprehensive error value, calculate the total predicted power consumption of each charging port in each time period; Each charging port is assigned several energy storage blocks and a buffer storage block. Power is supplied to the corresponding energy storage blocks according to time periods, and a replenishment strategy is implemented for the unused energy in the energy storage blocks. When the energy in the energy storage blocks is insufficient to complete the remaining charging task, the total amount of energy required is calculated, and assistance strategies are implemented sequentially based on the order of the charging ports. If the electric energy in the energy storage block of a time period has been used up, and both the time period and the charging task of the charging device have not yet ended, then the remaining time t2 of the time period and the duration t1 of the charging task in the time period at the current moment, as well as the completion degree C1 of the charging task just entering the current time period and the completion degree C2 when the electric energy has just been used up, are combined to calculate the completion degree C3 of the charging task if there is sufficient electric energy in the energy storage block of the time period and at the end of the time period. The expression is: Since the completion degree of the charging task does not exceed 1, the conversion results in: Combined with the total amount of electric energy E1 in the corresponding electric energy storage block when the charging task just enters the current time period, the total amount of electric energy E2 required to complete the charging task is calculated, and the expression is: After transformation, we get: If the total amount of electric energy in the buffer storage block is less than E2, the assistance strategy is triggered after the electric energy in the buffer storage block is transferred to the electric energy storage block in the current time period.

2. A safety management method for charging stations according to claim 1, characterized in that: At the end of each day, the charging record data of each charging port is obtained, including the total amount of power consumed by each charging port in each time period. And the total amount of actual charging energy of all charging devices connected to each charging port in each time period After combining, we can get the power utilization rate of each charging port in each time period. The expression is: Where i represents the i-th charging port in the charging station, j represents the j-th time period in a day; Te0 represents the power utilization threshold; Get the maintenance time of each charging interface, calculate the difference between the current time and the maintenance time of each charging interface, and record it as the time difference Td i ; Calculate the maintenance urgency rate Um of each charging interface i , the expression is: Wherein, Td0 represents the time difference threshold.

3. The safety management method for charging stations according to claim 2, characterized in that: The maintenance urgency rate Um of each charging port i , and the energy utilization rate in each time period Combined, we get the maintenance index Mi of each charging port i , the expression is: Wherein, α and β represent the weight coefficients of power utilization rate and maintenance urgency rate respectively, and α+β=1; The preset maintenance index threshold Mi0, for the maintenance index Mi i For charging interfaces with maintenance index less than the threshold value Mi0, a maintenance instruction is sent to the corresponding charging interface; for charging interfaces with maintenance index Mi i The charging interface with a maintenance index not less than the maintenance index threshold Mi0 is i Sort the charging port numbers from smallest to largest.

4. The safety management method for charging stations according to claim 1, characterized in that: Obtain the second total power consumption data of each charging interface in each time period within the previous fifteen days, and calculate the prediction error value of the corresponding charging interface in the corresponding time period based on the total power consumption data of the corresponding charging interface in the corresponding time period; The prediction error value pe for each day k Perform weight calculation to obtain the weight l of each day in the first fifteen days k ,and The prediction error value pe of the corresponding charging interface in the corresponding time period on the previous k day k And the corresponding weight l k Combined, we get the comprehensive error value Pe, which is expressed as: The second total power consumption data of each charging interface in each time period of the next day is added to the comprehensive error value of the corresponding charging interface in the corresponding time period to obtain the predicted total power consumption of each charging interface in each time period of the next day.

5. The safety management method for charging stations according to claim 1, characterized in that: When entering the next time period, if the electric energy in the energy storage block of the previous time period has not been used up, the replenishment strategy is triggered: the remaining electric energy in the electric energy storage block of the previous time period is transferred to the electric energy storage block of the next time period. Similarly, if the electric energy storage block of the last time period of the day still has some electric energy that has not been consumed at the end of the time period, the remaining electric energy will be transferred to the buffer storage block of the corresponding charging interface.

6. The safety management method for charging stations according to claim 1, characterized in that: Based on the sorted charging port numbers, the first-ranked charging port number is taken out in turn and the assistance strategy is executed: For the charging plug currently in charge, the total amount of energy still required for the charging task in the current time period is also calculated; based on the remaining amount of energy in the corresponding energy storage block, it is determined whether the total amount of energy E2 required by the charging interface with insufficient energy can be met; If it is not satisfied, the remaining total energy of the current energy storage block after completing the current charging task will be transferred to the energy storage block corresponding to the charging interface with insufficient power, and then the judgment of the next charging interface will be carried out in turn; If the conditions are met, the power of E2 is taken out from the current power storage block and transmitted to the power storage block corresponding to the charging interface with insufficient power; If the total amount of remaining energy in the energy storage blocks of all other charging interfaces in the current time period still does not meet the total amount of energy E2 required by the insufficiently powered charging interface, then energy is replenished from the insufficiently powered charging interface in the energy storage blocks of the next time period; If the energy storage blocks of multiple charging interfaces are insufficient in energy at the same time within a time period, the last charging interface is taken out in turn based on the order of these charging interfaces and the assistance strategy is executed.

7. A safety management system for charging stations, used to implement the method according to any one of claims 1 to 6, characterized in that: include: Inspection and judgment module, used to obtain historical charging record data of each charging port; At the end of each day, calculate the power utilization rate of each charging port in each time period, and calculate the maintenance urgency rate of each charging port based on the maintenance time; and calculate the maintenance index of each charging port based on the power utilization rate and maintenance urgency rate. Send maintenance instructions or sort charging ports based on the maintenance index; The power forecast module, based on the historical charging record data of the previous 15 days, screens out charging ports with a maintenance index no less than the maintenance index threshold and the corresponding dates, as well as the charging data for each time period under the corresponding dates; Combined with weather data, the power consumption of each charging port in different time periods is predicted; Combined with the weighted comprehensive error value, calculate the total predicted power consumption of each charging port in each time period; The power replenishment module allocates several power storage blocks and one buffer storage block to each charging interface; it supplies power to the corresponding power storage blocks according to time periods and implements a replenishment strategy for the unused power in the power storage blocks; when the power in the power storage blocks is insufficient to complete the remaining charging task, it calculates the total amount of power required and executes the assistance strategy in sequence according to the order of the charging interfaces.

Images