Safety management method and system for charging station

Abstract

The invention discloses a safety management method and system for a charging station, and relates to the technical field of charging station management, and the method comprises the steps: collecting the historical charging data of each charging port, calculating the electric energy utilization rate and the maintenance urgency rate, and obtaining a maintenance index, which is used for judging the sending of a maintenance instruction or the priority sorting of charging interfaces; based on the data of the first fifteen days, screening out a specified charging interface and charging data thereof, and predicting electric energy consumption in each time period in combination with weather conditions; predicting the total power consumption of each interface by calculating a weighted error value; an electric energy storage block and a buffer storage block are distributed to each charging interface, and unused electric energy is managed by adopting a supplement strategy; when the electric energy is insufficient, calculating the required total amount and executing assistance strategies in sequence to ensure that the charging task is completed smoothly; according to the management method, the safety and the operation efficiency of the charging station are effectively improved through a refined maintenance plan and intelligent electric energy 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] In the context of the rapid development of the new energy vehicle industry, the safety management of charging stations as key infrastructure is particularly important. With the continuous growth of electric vehicle ownership, the number of charging stations is also increasing rapidly to meet the growing demand for charging. However, the safety management of charging stations faces many challenges, including equipment failure, safety hazards, user behavior management and other issues.

[0003] Traditional charging station management methods often rely on manual inspections and regular maintenance, which is not only inefficient but also difficult to detect and deal with 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 gradually becoming 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, which results in the inability to timely inspect or adjust charging ports with large power losses, resulting in a waste of electricity. Secondly, in traditional methods, power distribution often lacks flexibility, and the power distribution strategy cannot be adjusted according to historical power consumption data, which may lead to power shortages during peak hours. Finally, when a charging port is short of power, it can only interrupt the charging task without effective response measures, which 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 issues to be resolved

[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 the 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] (II) 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 the 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 in combination with the maintenance time; calculate the maintenance index of each charging port in combination with the power utilization rate and the maintenance urgency rate; select to send maintenance instructions or sort the charging ports based on the maintenance index;

[0011] Based on the historical charging record data of the previous fifteen days, the charging interfaces and corresponding dates with maintenance index not less than the maintenance index threshold are screened out, as well as the charging data of each time period under the corresponding date; combined with weather data, the power consumption of each charging interface in each time period is predicted; combined with the weighted comprehensive error value, the predicted total power consumption of each charging interface in each time period is calculated;

[0012] Assign several energy storage blocks and one buffer storage block to each charging interface; perform power supply operations on 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 assistance strategies 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: Wherein, i represents the i-th charging port in the charging station, j represents the j-th time period in a day; Te0 represents the electric energy utilization rate 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] Among them, 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 for the corresponding charging interface is sent; 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, the maintenance index of each charging interface within the previous fifteen days is obtained, and the charging interfaces and corresponding dates whose maintenance index is not less than the maintenance index threshold are screened out, as well as the charging data of each time period under the corresponding date;

[0019] Get the weather data for all time periods under the selected date, including non-rainy and snowy days and rainy and snowy days, and mark them accordingly; for time periods with both rainy and snowy days and non-rainy and snowy days, the weather with a longer duration is taken as the weather for that time period;

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

[0021] Furthermore, the total amount of power consumed by each selected charging interface in the time period is put into the time series diagram in chronological order; based on the data of several points in the time series diagram, a linear fitting is performed using a univariate linear regression method;

[0022] Record the interval distance between adjacent point data on the horizontal axis, and 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 an interval distance away from the last point data, and record it as the first total power consumption data FTec of the time period of the next day;

[0023] Based on the total power consumption Tec and the total actual charging energy Tac of each charging interface in the selected time period, the power utilization rate Ecr of each group of data is calculated, and the average power utilization rate of the charging interface in the time period is obtained by average operation. Combine the first total power consumption data FTec and the average power utilization rate The second total power consumption data STec of the next day in this time period is obtained, and the expression is:

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

[0025] The prediction error value pe for each day k Perform weight calculation to obtain the weight l of each day in the previous 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, 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 energy storage block of the previous time period has not been used up, the replenishment strategy is triggered: the remaining electric energy in the 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 electric energy in the electric energy storage block of a time period has been used up, and the charging task of the time period and the charging device has 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, if there is enough electric energy in the electric energy storage block of the time period and at the end of the time period, the completion degree C3 of the charging task is calculated, and the expression is: After conversion, 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 conversion, 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 interface numbers, the first-ranked charging interface numbers are taken out in turn, and the assistance strategy is executed:

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

[0037] If not, the total amount of remaining electric energy of the current electric energy storage block after completing the current charging task is transferred to the electric energy storage block corresponding to the charging interface with insufficient electric energy, and then the judgment of the next charging interface is carried out in sequence;

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

[0039] If the remaining total amount of electric energy in the electric energy storage block of all other charging interfaces in the current time period still does not meet the total amount of electric energy E2 required by the charging interface with insufficient electric energy, then the electric energy is supplemented from the electric energy storage block of the next time period from the charging interface with insufficient electric energy;

[0040] If the power storage blocks of multiple charging interfaces are insufficient in 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 a charging station, comprising:

[0042] The maintenance judgment module is used to obtain the historical charging record data of each charging port; at the end of each day, the power utilization rate of each charging port in each time period is calculated, and the maintenance urgency rate of each charging port is calculated in combination with the maintenance time; the maintenance index of each charging port is calculated in combination with the power utilization rate and the maintenance urgency rate; and the maintenance instruction is sent or the charging ports are sorted based on the maintenance index;

[0043] The power forecasting module, based on the historical charging record data of the previous 15 days, screens out the charging ports with a maintenance index not less than the maintenance index threshold and the corresponding dates, as well as the charging data of each time period under the corresponding dates; combines weather data to predict the power consumption of each charging port in each time period; combines the weighted comprehensive error value to calculate the total predicted power consumption of each charging port in each time period;

[0044] The power replenishment module allocates several power storage blocks and a buffer storage block to each charging interface; performs power supply operations on 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 tasks, calculates the total amount of power required, and executes assistance strategies in sequence according to the order of the charging interfaces.

[0045] (III) 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 obtaining and analyzing the historical charging record data of each charging port in a refined manner, including key indicators such as charging duration, total power consumption, and total actual charging power, and calculating the maintenance urgency rate in combination with the maintenance time, a scientific basis is provided for the maintenance and management of the charging interface; by comprehensively considering the power utilization rate and the maintenance urgency rate, the 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 the charging interfaces can effectively reduce power loss and improve charging efficiency, while providing a data basis for the subsequent assistance strategy implemented when power is insufficient;

[0048] 2. Through historical charging record data and weather data, the power consumption of the charging interface in each future time period is accurately predicted, and the impact of weather changes on power consumption is taken into account, so that power distribution can be planned in advance to avoid insufficient power supply during bad weather or peak power consumption. 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, reduces the risk of charging interruption or equipment damage caused by insufficient power, and further enhances 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 a charging station provided by the present invention;

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

[0052] Figure 3 A schematic diagram of the structure of a safety management system for charging stations provided by the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work 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 a charging station, comprising:

[0055] Step 1: Obtain the 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 in combination with the maintenance time; calculate the maintenance index of each charging port in combination with the power utilization rate and the maintenance urgency rate; select to send a maintenance instruction or sort the charging ports based on the maintenance index;

[0056] The step one includes the following steps:

[0057] Step 101, obtaining historical charging record data of each charging port in the charging station, wherein the historical charging record data represents the charging data of each charging port in each time period in the past, including the charging duration, total power consumption, total actual charging power and maintenance index data of each charging port in each time period; the time period is a time period lasting one hour, specifically starting from 0 o'clock, and a day is divided into 24 time periods according to the length of one hour; the total power consumption represents the total power consumption associated with each charging port, and the total actual charging power represents the total power actually received by the charging device connected to each charging port, and the charging device includes electric vehicles, electric vehicles, etc.;

[0058] At the end of each day, obtain the charging record data of each charging port on that day, 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 Wherein, 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: Wherein, Te0 represents the energy utilization threshold, which indicates the inevitable energy utilization caused by environmental changes, and is obtained by experimental simulation of the charging port that has just been repaired under various environments; the energy utilization Ecr i j The larger the value, the smaller the power loss of the charging interface; Power utilization rate Ecr i j The smaller it is, 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 ; The time difference Td of each charging interface is 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 is, the shorter the time since the last maintenance of the charging interface is, that is, the less urgent the maintenance of the charging interface is. i The smaller the value, the longer the time since the last maintenance of the charging port, that is, the more urgent the maintenance of the charging port.

[0062] Step 103: The maintenance urgency rate Um of each charging interface 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] Among them, 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 maintenance index threshold Mi0 needs to be repaired to reduce the large loss of electric energy, so a maintenance instruction is sent to the corresponding charging interface; i The charging interface with a maintenance index not less than the maintenance index threshold Mi0 can be used normally for subsequent charging operations and 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 calculating the maintenance urgency rate in combination with the maintenance time, a scientific basis is provided for the maintenance and management of the charging interface; through a comprehensive consideration of power utilization and maintenance urgency rate, the 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 the charging interfaces can effectively reduce power loss and improve charging efficiency, while providing a data basis for the subsequent assistance strategies implemented when power is insufficient.

[0068] Step 2: Based on the historical charging record data of the previous 15 days, select the charging interfaces and corresponding dates whose maintenance index is not less than the maintenance index threshold, as well as the charging data of each time period under the corresponding date; combine the weather data to predict the power consumption of each charging interface in each time period; combine the weighted comprehensive error value to calculate the predicted total power consumption of each charging interface in each time period;

[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 interface whose maintenance index is not less than the maintenance index threshold and the corresponding date, as well as the charging data of each time period under the corresponding date. For example, if the maintenance index of a charging interface on the third day is not less than the maintenance index threshold, the charging data of the charging interface in each time period within the previous third day is retrieved;

[0071] Get the weather data for all time periods under the selected date, including non-rainy and snowy days and rainy and snowy days, and mark them accordingly; if rainy and snowy days and non-rainy and snowy days occur at the same time in a time period, the weather with a longer duration will be used as the weather for that time period according to the duration of the two types of weather;

[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 retrieved, and combined 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, a number of groups of weather data and charging data of each charging interface in the previous fifteen days in the time period are retrieved from the prediction data source table of each charging interface in the time period, one weather data and charging data is a group;

[0075] Obtain the weather forecast data for the first time period of the next day. If it is rainy or snowy in this time period, filter out the charging data for rainy or snowy days from the retrieved sets of weather data and charging data. If it is non-rainy or snowy in this time period, filter out the 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 of each charging interface in the time period from the screened charging data, and put the total power consumption of each screened charging interface in the time period into a time series graph in chronological order (i.e., the order of the first few days, with the first fifteenth day being the first), with the horizontal axis being the date and the vertical axis being the corresponding total power consumption; based on several point data in the time series graph, use a univariate linear regression method to fit these point data into a straight line;

[0077] Record the interval distance between adjacent point data on the horizontal axis, and 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 an interval distance away from the last point data, and use the fitted vertical coordinate data of the next point data as the first total power consumption data FTec for the time period of the next day;

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

[0079]

[0080] According to the above method, the second total amount of power consumption data of each charging interface in each time period of the next day is obtained in sequence;

[0081] Step 204, 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 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 kth day 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, 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] Through historical charging record data and weather data, the power consumption of the charging interface in future time periods can be accurately predicted, and the impact of weather changes on power consumption can be taken into account, so that power distribution can be planned in advance to avoid insufficient power supply during bad weather or peak power consumption. 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, reduces the risk of charging interruption or equipment damage due to insufficient power, and further enhances the safety and reliability of the charging station.

[0087] Step 3: Allocate a number of electric energy storage blocks and a buffer storage block to each charging interface; perform power supply operations on the corresponding electric energy storage blocks according to time periods, and implement a supplementary strategy for the unused electric energy in the electric energy storage blocks; when the electric energy in the electric energy storage blocks is insufficient to complete the remaining charging task, calculate the total amount of electric energy required, and implement the assistance strategy in sequence according to the order of the charging interfaces;

[0088] The step three includes the following steps:

[0089] Step 301, 24 electric energy storage blocks are allocated to each charging interface, corresponding to 24 time periods in a day respectively; based on the predicted total electric energy consumption of each charging interface in each time period on the next day, the corresponding total electric energy is transmitted from the 24 electric energy storage blocks of each charging interface on the next day, so as to be used for the use of electric energy in each charging interface in each time period, and the sources of the transmitted electric energy are the buffer storage blocks of each charging interface and the electric energy center respectively; the buffer storage blocks are used to store the electric energy that is not used every day, and when the electric energy in each electric energy storage block is transmitted on the next day, the electric energy in the buffer storage block of the corresponding charging interface is first used as the electric energy source, and if the electric energy in the buffer storage block is not enough to supplement the electric energy demand of all electric energy storage blocks on the next day (i.e. the predicted total electric energy consumption), then after the electric energy in the buffer storage block is consumed, the electric energy center is used as the source of the remaining electric energy;

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

[0092] Step 302: At the beginning of the next day, start the first energy storage block of each charging interface, the first energy storage block corresponds to the energy storage block of the first time period of the next day, and when a charging device performs a charging operation, start the energy transmission of the first energy storage block;

[0093] 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, and 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 not consumed at the end of the time period, the remaining electric energy is transferred to the buffer storage block of the corresponding charging interface;

[0094] Step 303: If the electric energy in the electric energy storage block of a time period has been used up, and 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, 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 at the end of the time period if there is enough 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 conversion, we get:

[0096]

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

[0098] Step 304: based on the sorted charging interface numbers, the charging interface numbers ranked first are taken out in turn, and the assistance strategy is executed to determine whether the charging interface can provide power to the charging interface with insufficient power; the determination is started from the charging interface with a smaller maintenance index, because the smaller the maintenance index, the greater the power loss. In order to increase the utilization rate of power, the power of the power storage block in the charging interface with greater power loss is transferred to the power storage block of the charging interface with insufficient power;

[0099] For a 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 electric energy;

[0100] For the charging plug that is in the process of charging, the total amount of electric energy that needs to be consumed by the charging task in the current time period is calculated based on the duration, completion degree and electric energy consumption of the charging task; based on the remaining amount of electric energy in the electric energy storage block, it is determined whether the total amount of electric energy E2 required by the charging interface with insufficient electric energy can be met;

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

[0102] If the remaining total amount of electric energy in the electric energy storage block of all other charging interfaces in the current time period still does not meet the total amount of electric energy E2 required by the charging interface with insufficient electric energy, then the electric energy is supplemented from the electric energy storage block of the next time period from the charging interface with insufficient electric energy;

[0103] Step 305: If the power storage blocks of multiple charging interfaces are insufficient in a time period, based on the order of the charging interfaces, the last charging interface is taken out in turn 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 the historical charging record data of each charging port; at the end of each day, the power utilization rate of each charging port in each time period is calculated, and the maintenance urgency rate of each charging port is calculated in combination with the maintenance time; the maintenance index of each charging port is calculated in combination with the power utilization rate and the maintenance urgency rate; and the maintenance instruction is sent or the charging ports are sorted based on the maintenance index;

[0108] The power forecasting module, based on the historical charging record data of the previous 15 days, screens out the charging ports with a maintenance index not less than the maintenance index threshold and the corresponding dates, as well as the charging data of each time period under the corresponding dates; combines weather data to predict the power consumption of each charging port in each time period; combines the weighted comprehensive error value to calculate the total predicted power consumption of each charging port in each time period;

[0109] The power replenishment module allocates several power storage blocks and a buffer storage block to each charging interface; performs power supply operations on 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 tasks, calculates the total amount of power required, and executes assistance strategies in sequence according to the order of the charging interfaces.

[0110] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a computer program product. The 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 by 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, tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid state drives (SSDs)).

[0112] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A safety management method for a charging station, characterized in that: The steps include: Obtain the 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 in combination with the maintenance time; calculate the maintenance index of each charging port in combination with the power utilization rate and the maintenance urgency rate; select to send maintenance instructions or sort the charging ports based on the maintenance index; Based on the historical charging record data of the previous fifteen days, the charging ports with a maintenance index not less than the maintenance index threshold and the corresponding dates are screened out, as well as the charging data of each time period under the corresponding dates; Combined with weather data, the power consumption of each charging port in each time period is predicted; combined with the weighted comprehensive error value, the total predicted power consumption of each charging port in each time period is calculated; Assign several energy storage blocks and one buffer storage block to each charging interface; perform power supply operations on 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 assistance strategies in sequence according to the order of the charging interfaces.

2. A safety management method for charging stations according to claim 1, characterized in that: At the end of each day, obtain the charging record data of each charging port on that day, including the total power consumption of 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: Wherein, i represents the i-th charging port in the charging station, j represents the j-th time period in a day; Te0 represents the electric energy utilization rate 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. A safety management method for charging stations as claimed in claim 2, characterized in that: The maintenance urgency rate Um of each charging interface 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: Among them, 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 for the corresponding charging interface is sent; 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. A safety management method for charging stations according to claim 1, characterized in that: Obtain the maintenance index of each charging interface within the previous fifteen days, filter out the charging interfaces whose maintenance index is not less than the maintenance index threshold and the corresponding dates, as well as the charging data of each time period under the corresponding dates; Get the weather data for all time periods under the selected date, including non-rainy and snowy days and rainy and snowy days, and mark them accordingly; for time periods with both rainy and snowy days and non-rainy and snowy days, the weather with a longer duration is taken as the weather for that time period; Starting from the first time period of the next day, retrieve several groups of weather data and charging data of each charging interface in the time period of the previous fifteen days; obtain the weather forecast data of each time period of the next day. If it is rainy or snowy in the time period, filter out the charging data with weather data of rainy or snowy days; if it is non-rainy or snowy in the time period, filter out the charging data with weather data of non-rainy or snowy days.

5. A safety management method for charging stations as claimed in claim 4, characterized in that: The total amount of power consumed by each selected charging interface in the time period is put into the time series graph in chronological order; based on the data of several points in the time series graph, a linear fitting is performed using a univariate linear regression method; Record the interval distance between adjacent point data on the horizontal axis, and 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 an interval distance away from the last point data, and record it as the first total power consumption data FTec of the time period of the next day; Based on the total power consumption Tec and the total actual charging energy Tac of each charging interface in the selected time period, the power utilization rate Ecr of each group of data is calculated, and the average power utilization rate of the charging interface in the time period is obtained by average operation. Combine the first total power consumption data FTec and the average power utilization rate The second total amount of power consumption data STec for the next day in this time period is obtained, and the expression is:

6. A safety management method for charging stations as claimed in claim 5, 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 previous 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, 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.

7. A safety management method for charging stations as claimed in 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 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.

8. A safety management method for charging stations as claimed in claim 7, characterized in that: If the electric energy in the electric energy storage block of a time period has been used up, and the charging task of the time period and the charging device has 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, if there is enough electric energy in the electric energy storage block of the time period and at the end of the time period, the completion degree C3 of the charging task is calculated, and the expression is: After conversion, we get: 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 conversion, 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.

9. A safety management method for charging stations as claimed in claim 8, characterized in that: Based on the sorted charging port numbers, the first charging port number is taken out in turn, and the assistance strategy is executed: For the charging plug that is currently charging, the total amount of electric energy that is still required to be consumed by the charging task in the current time period is also calculated; based on the remaining amount of electric energy in the corresponding electric energy storage block, it is determined whether the total amount of electric energy E2 required by the charging interface with insufficient electric energy can be met; If not, the total amount of remaining electric energy of the current electric energy storage block after completing the current charging task is transferred to the electric energy storage block corresponding to the charging interface with insufficient electric energy, and then the judgment of the next charging interface is carried out in sequence; If the conditions are met, the electric energy of E2 is taken out from the current electric energy storage block and transmitted to the electric energy storage block corresponding to the charging interface with insufficient electric energy; If the remaining total amount of electric energy in the electric energy storage block of all other charging interfaces in the current time period still does not meet the total amount of electric energy E2 required by the charging interface with insufficient electric energy, then the electric energy is supplemented from the electric energy storage block of the next time period from the charging interface with insufficient electric energy; If the power storage blocks of multiple charging interfaces are insufficient in 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.

10. A safety management system for charging stations, characterized in that: include: A maintenance judgment module is used to obtain the 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 in combination with the maintenance time; calculate the maintenance index of each charging port in combination with the power utilization rate and the maintenance urgency rate; Select to send maintenance instructions or sort the charging ports based on the maintenance index; The power prediction module, based on the historical charging record data of the previous 15 days, screens out the charging ports and corresponding dates whose maintenance index is not less than the maintenance index threshold, as well as the charging data of each time period under the corresponding date; Combined with weather data, the power consumption of each charging port in different time periods is predicted; Combined with the weighted comprehensive error value, the predicted total power consumption of each charging interface in each time period is calculated; The power replenishment module allocates several power storage blocks and a buffer storage block to each charging interface; performs power supply operations on 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 tasks, calculates the total amount of power required, and executes assistance strategies in sequence according to the order of the charging interfaces.

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