A wireless starting method and system for charging pile

Abstract

The present invention relates to the field of electric vehicle charging technology, and specifically to a charging pile wireless starting method and system, comprising the following steps: S1: collecting environmental data around the charging pile; S2: predicting the user's future charging needs; S3: using a preset decision support algorithm to determine the optimal starting time and charging strategy of the charging pile; S4: a central control unit sends a charging invitation to the user's smart device through a wireless communication module; S5: the smart device chooses to accept the invitation or adjust the charging time; S6: after the central control unit receives the user's confirmation; S7: during the charging process, the charging strategy is updated in real time. The present invention, by integrating environmental perception, user behavior prediction and wireless communication technology, can adjust the charging strategy in real time, improve charging efficiency, simplify user operations, enhance system safety, and reduce energy waste, bringing significant economic and environmental benefits to users and power grid operations.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging, and in particular to a charging pile wireless starting method and system. Background Art

[0002] With the rapid expansion of the electric vehicle market, the demand for public and private charging stations continues to increase. Most of the existing charging facilities rely on physical connections for charging, which is not only cumbersome to operate, but also prone to congestion and waiting during peak hours. In addition, existing charging systems usually lack the ability to dynamically respond to environmental changes and user behavior patterns, and cannot adjust charging strategies according to actual conditions, which leads to problems such as inefficient energy use and poor user experience.

[0003] In the existing technology, the startup and scheduling of charging piles often do not fully consider environmental factors such as weather changes, surrounding traffic flow and power grid load, and lack real-time prediction and analysis of user charging habits, and cannot provide truly personalized charging services. These limitations not only affect the efficiency of charging pile use, but may also lead to waste of electricity resources and increased user waiting time.

[0004] Therefore, there is an urgent need for a charging pile system that can achieve wireless start-up and intelligently adjust the charging strategy according to real-time data to optimize the charging operation, improve energy utilization efficiency, and enhance the user's charging experience. Summary of the invention

[0005] Based on the above objectives, the present invention provides a charging pile wireless starting method and system.

[0006] A charging pile wireless starting method comprises the following steps:

[0007] S1: The charging pile is equipped with an environmental sensing unit to collect environmental data around the charging pile, including temperature, humidity, traffic flow and the current usage status of the charging pile;

[0008] S2: The user behavior prediction unit configured on the charging pile processes historical charging data using a preset behavior analysis algorithm to predict the user's future charging needs, including the expected charging time and frequency;

[0009] S3: The central control unit configured in the charging pile determines the optimal start time and charging strategy of the charging pile using a preset decision support algorithm based on the data from the environment perception unit and the prediction results of the user behavior prediction unit;

[0010] S4: The central control unit sends a charging invitation to the user's smart device through the wireless communication module, where the invitation includes the optimal charging start time and the estimated charging duration determined by the decision support algorithm;

[0011] S5: After receiving the charging invitation, the user chooses to accept the invitation or adjust the charging time through his smart device, and wirelessly sends the selection back to the central control unit of the charging station;

[0012] S6: After receiving the user's confirmation, the central control unit adjusts the state of the charging pile to automatically start charging at the time determined by the user;

[0013] S7: During the charging process, the environment perception unit and the user behavior prediction unit continue to monitor any changes in the environment or behavior and update the charging strategy in real time;

[0014] S8: After charging is completed, the central control unit will send a charging completion notification to the user's smart device through the wireless communication module and provide a charging summary report.

[0015] Furthermore, the S1 specifically includes:

[0016] S11: The environment sensing unit is embedded with multiple sensor components, including a temperature sensor, a capacitive humidity sensor, and an infrared sensor. The temperature sensor uses a thermistor to measure the temperature of the surrounding air, and reflects the temperature change through the change of the resistance value to provide temperature data; the capacitive humidity sensor changes the capacitance value based on the change of the dielectric constant caused by the change of air humidity, so as to measure and record the relative humidity data of the surrounding environment; the infrared sensor is installed near the charging pile, which can sense the movement of the vehicle and count the number of passing vehicles by receiving and analyzing the changes of the infrared signal;

[0017] S12: The use status of the charging pile is recorded by an integrated status monitoring unit, which is equipped with current and voltage measurement sensors to monitor the working current and voltage of the charging pile in real time, and judge whether the charging pile is being used by comparing the data;

[0018] S13: Summarize all collected data, including temperature, humidity, vehicle flow, and charging pile usage status, and use a preset data processing algorithm to format and standardize the raw data to ensure data accuracy and availability;

[0019] S14: The processed environmental data is sent to the central control unit of the charging pile through a preset wireless module.

[0020] Furthermore, the S2 specifically includes:

[0021] S21: The user behavior prediction unit first collects the user's historical charging data, including the start time, end time, charging duration, and charging interval of each charging;

[0022] S22: Using the time series analysis method as the preset behavior analysis algorithm, the user's charging time and frequency are pattern recognized. The time series analysis calculates the estimated charging time and frequency through the following formula: The estimation formula is: ,in, is the time of last charging, is the average of the user's historical charging intervals; the expected charging frequency The estimation formula is:

[0023] ,in, Same as above, it represents the inverse of the average charging interval, indicating the user's charging frequency;

[0024] S23: For outlier processing, the standard deviation and mean will be used to identify and process abnormal charging behaviors in statistics to ensure the accuracy of the prediction. The specific formula is: ,in, is the single charging time, is the average charging time, is the standard deviation.

[0025] Furthermore, the S3 specifically includes:

[0026] S31: The central control unit receives environmental data from the environmental perception unit, including temperature, humidity, vehicle flow, and charging pile usage status data; it also receives prediction results from the user behavior prediction unit, including the user's estimated charging time and charging frequency ;

[0027] S32: The decision support algorithm preset by the central control unit is specifically a multi-factor decision support algorithm, which will comprehensively consider environmental data and user behavior prediction results to determine the optimal start time and charging strategy of the charging pile. The specific calculation formula of the algorithm is:

[0028] ,in, is the optimal start time; argmin is a mathematical operator used to find the value of a variable that minimizes a given function; Represents a specific point in time within the scope of consideration; Represents a candidate set of charging times, from the predicted next charging time Start to Add a time interval End, where is the maximum delayed startup time predicted from user behavior; is the cost function; score environmental factors; Score user needs;

[0029] S33: In the calculation process of S32, peak and off-peak periods of electricity will also be considered to optimize charging cost and efficiency. Specifically, when charging during peak periods, the cost function will adjust to a higher value and vice versa during off-peak hours, ensuring charging occurs when electricity demand is lower, thus reducing costs;

[0030] S34: According to As a result, the central control unit will configure the charging pile to automatically start charging at the best time and set the charging strategy, including parameters of charging speed and charging time.

[0031] Furthermore, the S4 specifically includes:

[0032] S41: The central control unit first determines the communication address and device type of the user's smart device, which is registered when the user first uses the charging pile and stored in the user information database of the charging pile;

[0033] S42: Based on the optimal start time obtained from step S3 and a charging strategy, generating a charging invitation message, the message including an estimated start time, an estimated duration, and user-specified options for charging;

[0034] S43: The charging invitation message is formatted by a preset data formatting module to ensure that it complies with the requirements of the wireless communication protocol, where the wireless communication protocol includes Bluetooth, Wi-Fi, and NFC;

[0035] S44: The formatted charging invitation message is sent through a wireless communication module embedded in the central control unit. The wireless communication module uses encryption technology to ensure the security of data transmission. The encryption technology used includes WPA3 or TLS.

[0036] S45: The central control unit monitors the sending status of the message and confirms whether it is successfully received. If it is not successfully sent, it will try to resend it until it succeeds or exceeds the preset number of attempts.

[0037] Furthermore, the S5 specifically includes:

[0038] S51: The user's smart device receives a charging invitation from the charging pile central control unit through an installed application, and the invitation notification is sent in the form of a push notification via a wireless network;

[0039] S52: The charging invitation is displayed on the user device as a notification containing detailed information, including an estimated charging start time, charging duration, and user-defined options;

[0040] S53: The user can choose to accept or adjust the time directly in the application on the smart device. If the user chooses to adjust the time, the user will be able to select a new start time or modify the charging parameters;

[0041] S54: After the user makes a choice, the smart device wirelessly sends the user's decision back to the central control unit of the charging station using a preset secure wireless communication protocol through the installed application;

[0042] S55: After receiving the user's response, the central control unit will update the charging strategy according to the user's choice. If the user accepts the charging invitation, the central control unit will reserve the time and prepare the charging facilities; if the user chooses to adjust the time, the central control unit will re-evaluate and adjust the charging plan.

[0043] Furthermore, the S6 specifically includes:

[0044] S61: After receiving the confirmation information sent by the user through the smart device, the central control unit first verifies the validity of the information, including checking the timestamp and user identity identifier of the confirmation information to ensure the timeliness and security of the information;

[0045] S62: Once the confirmation information is verified to be valid, the central control unit will charge the battery according to the charging time and parameters selected by the user, including the charging start time and charging duration;

[0046] S63: The central control unit sends an adjustment instruction to the charging pile, including activating a pre-start state of the charging pile, where the pre-start state includes preheating the charging device and checking the integrity of the charging interface;

[0047] S64: After receiving the pre-start command, the charging pile performs a self-test procedure to ensure that all charging hardware and software are in good condition, including checking the power line, charging port and safety system;

[0048] S65: The charging station has a built-in timer, which is used to automatically activate the charging process according to the time specified by the central control unit. The timer accurately controls the start time of charging to ensure accurate synchronization with the time confirmed by the user.

[0049] Furthermore, the S7 specifically includes:

[0050] S71: The environment perception unit continuously monitors environmental data including temperature, humidity, vehicle flow and charging pile usage status, and sends the data to the central control unit through the real-time transmission module; the user behavior prediction unit also analyzes in real time the deviation between the user's current charging behavior and the historical data pattern, including charging time and charging frequency, and whether to terminate charging in advance or extend the charging time;

[0051] S72: After receiving the data from the environment perception unit and the user behavior prediction unit, the central control unit uses a composite decision support algorithm to process the data and dynamically adjusts the charging strategy by combining the current environment and user behavior data. The calculation formula of the composite decision support algorithm is:

[0052] ,in, is the new charging strategy cost function; Represents the specific time point to consider adjustment, which is used to determine the timing of charging strategy adjustment; score new environmental factors; Score new user needs; The difference between charging demand and power supply capacity; These are weight factors, corresponding to the impact weights of environmental factor scores, user demand scores, and the difference between charging demand and power supply capacity;

[0053] S73: When When the ambient temperature is too high and affects charging efficiency or safety, the central control unit will adjust the charging current or charging time to adapt to environmental changes; similarly, when Indicating that user behavior shows an abnormal increase or decrease in charging frequency, the central control unit will adjust the charging strategy, including providing discounts or adjusting charging power, to incentivize efficient charging behavior;

[0054] S74: All adjustments are recorded and fed back to the user’s smart device in real time, ensuring that changes to the charging process remain transparent to the user.

[0055] Furthermore, the S8 specifically includes:

[0056] S81: When the charging process is completed, the sensor system of the charging pile will automatically record the final charging data, including the actual charging amount, the total charging time, and the average power consumption during the charging process;

[0057] S82: The central control unit integrates the collected charging data and calculates a charging efficiency index. The specific formula of the charging efficiency index is: ,This formula is designed to evaluate the energy utilization efficiency of the charging process and reflect the effective use of electrical energy per unit time;

[0058] S83: The central control unit converts all data into a charging summary report using a preset report generation algorithm, the report including a charging amount, a total charging time, and a charging efficiency index;

[0059] S84: The charging summary report is sent to the user's smart device through the wireless communication module of the charging pile using a data transmission protocol;

[0060] S85: After the user's smart device receives the charging summary report, it will prompt the user to view it and provide the option to save or share the report.

[0061] A charging pile wireless starting system, used to implement the above-mentioned charging pile wireless starting method, includes the following modules:

[0062] Environmental perception module: It is equipped with multiple sensors to collect real-time environmental data around the charging pile, including temperature, humidity, traffic flow, and the current usage status of the charging pile, and transmit the collected data to the central control module;

[0063] User behavior prediction module: receives and analyzes the traffic flow data and historical charging data transmitted by the environment perception module, uses the preset behavior analysis algorithm to predict the user's charging needs, including the expected charging time and charging frequency, and sends the prediction results to the central control module;

[0064] Central control module: Based on the data received from the environment perception module and the user behavior prediction module, the central control module uses the preset decision support algorithm to analyze and determine the optimal start time and charging strategy of the charging pile. The central control module is also used to manage the operation and scheduling of the charging pile, including sending charging invitations to the user's smart device;

[0065] Wireless communication module: responsible for data transmission between the central control module and the user's smart device, including sending charging invitations and receiving user responses, and sending charging summary reports to the user's device after charging is completed.

[0066] Beneficial effects of the present invention:

[0067] The present invention integrates an environmental perception module and a user behavior prediction module, which enables the system to monitor and analyze the charging environment and the user's charging needs in real time. Through this integration, the system can not only dynamically adjust the charging strategy to adapt to current environmental conditions, such as temperature changes and traffic flow, but also predict changes in charging needs, such as user charging frequency and time preference, thereby significantly improving charging efficiency and user satisfaction.

[0068] The present invention greatly simplifies the user's charging process through the effective cooperation of the central control module and the wireless communication module. The user can remotely start the charging process without touching the charging pile, and receive a charging invitation and completion notification at the same time, which not only improves the operational convenience, but also enhances the security of the system. After charging is completed, the user will also receive a summary report containing detailed information such as the charging amount, charging time and charging efficiency, further increasing the transparency of the charging process.

[0069] The present invention reduces energy waste during the charging process through intelligent scheduling capabilities, helps to reduce operating costs and optimize grid load management. During peak periods of electricity demand, the system can intelligently adjust the operation of charging piles to avoid excessive loading, thereby helping to balance the supply and demand of the grid and ensure the stable operation of the power system. This efficient resource management not only meets the sustainable development requirements of modern energy use, but also provides electric vehicle users with a more economical charging solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0071] Figure 1 A schematic diagram of a wireless starting method for a charging pile according to an embodiment of the present invention;

[0072] Figure 2 Schematic diagram of a wireless starting system for a charging pile according to an embodiment of the present invention. DETAILED DESCRIPTION

[0073] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0074] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. The words "include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects.

[0075] like Figure 1 As shown, a charging pile wireless starting method includes the following steps:

[0076] S1: The charging pile is equipped with an environmental sensing unit to collect environmental data around the charging pile, including temperature, humidity, traffic flow and the current usage status of the charging pile;

[0077] S2: The user behavior prediction unit configured on the charging pile processes historical charging data using a preset behavior analysis algorithm to predict the user's future charging needs, including the expected charging time and frequency;

[0078] S3: The central control unit configured in the charging pile determines the optimal start time and charging strategy of the charging pile using a preset decision support algorithm based on the data from the environment perception unit and the prediction results of the user behavior prediction unit;

[0079] S4: The central control unit sends a charging invitation to the user's smart device through the wireless communication module, where the invitation includes the optimal charging start time and the estimated charging duration determined by the decision support algorithm;

[0080] S5: After receiving the charging invitation, the user chooses to accept the invitation or adjust the charging time through his smart device, and wirelessly sends the selection back to the central control unit of the charging station;

[0081] S6: After receiving the user's confirmation, the central control unit adjusts the state of the charging pile to automatically start charging at the time determined by the user;

[0082] S7: During the charging process, the environment perception unit and user behavior prediction unit continue to monitor any changes in the environment or behavior, and update the charging strategy in real time to ensure maximum charging efficiency and user satisfaction;

[0083] S8: After charging is completed, the central control unit will send a charging completion notification to the user's smart device through the wireless communication module and provide a charging summary report.

[0084] S1 specifically includes:

[0085] S11: The environment sensing unit is embedded with multiple sensor components, including a temperature sensor, a capacitive humidity sensor, and an infrared sensor. The temperature sensor uses a thermistor to measure the temperature of the surrounding air, and reflects the temperature change through the change of the resistance value to provide temperature data; the capacitive humidity sensor changes the capacitance value based on the change of the dielectric constant caused by the change of air humidity, so as to measure and record the relative humidity data of the surrounding environment; the infrared sensor is installed near the charging pile, which can sense the movement of the vehicle and count the number of passing vehicles by receiving and analyzing the changes of the infrared signal;

[0086] S12: The use status of the charging pile is recorded by an integrated status monitoring unit, which is equipped with current and voltage measurement sensors to monitor the working current and voltage of the charging pile in real time, and judge whether the charging pile is being used by comparing the data;

[0087] S13: Summarize all collected data, including temperature, humidity, vehicle flow, and charging pile usage status, and use a preset data processing algorithm to format and standardize the raw data to ensure data accuracy and availability;

[0088] S14: The processed environmental data is sent to the central control unit of the charging pile through a preset wireless module. The wireless module supports high-speed data transmission to ensure the real-time and security of data transmission. The above steps describe in detail the working principle of the environmental perception unit and how to implement the process of collecting environmental data. Each step is necessary and logically closely related, ensuring accurate collection and effective processing of data.

[0089] S2 specifically includes:

[0090] S21: The user behavior prediction unit first collects the user's historical charging data, including the start time, end time, charging duration, and charging interval of each charging;

[0091] S22: Using the time series analysis method as the preset behavior analysis algorithm, the user's charging time and frequency are pattern recognized. The time series analysis calculates the estimated charging time and frequency through the following formula: The estimation formula is: ,in, is the time of last charging, is the average of the user's historical charging intervals; the expected charging frequency The estimation formula is:

[0092] ,in, Same as above, it represents the inverse of the average charging interval, indicating the user's charging frequency;

[0093] S23: For outlier processing, the standard deviation and mean will be used to identify and process abnormal charging behaviors in statistics to ensure the accuracy of the prediction. The specific formula is: ,in, is the single charging time, is the average charging time, is the standard deviation.

[0094] S3 specifically includes:

[0095] S31: The central control unit receives environmental data from the environmental perception unit, including temperature, humidity, vehicle flow, and charging pile usage status data; it also receives prediction results from the user behavior prediction unit, including the user's estimated charging time and charging frequency ;

[0096] S32: The decision support algorithm preset by the central control unit is specifically a multi-factor decision support algorithm (MFDSA), which will comprehensively consider environmental data and user behavior prediction results to determine the optimal start time and charging strategy of the charging pile. The specific calculation formula of the algorithm is:

[0097] ,in, is the optimal start time, which refers to the time point for starting charging under the condition of cost minimization obtained from algorithm analysis; argmin is a mathematical operator used to find the variable value that minimizes a given function; Represents a specific point in time within the range of consideration, and is used here to determine the specific start time of charging; Represents a candidate set of charging times, from the predicted next charging time Start to Add a time interval End, where is the maximum delayed startup time predicted from user behavior; is the cost function used to evaluate the total costs associated with starting charging; Environmental factor score, which is calculated based on the data collected from the environmental sensing unit (such as temperature, humidity, traffic flow, etc.), reflecting the impact of charging costs under current environmental conditions; The user demand score is a score calculated based on the data provided by the user behavior prediction unit (such as the expected charging time and charging frequency), reflecting the cost impact of charging at a specific time on the user's inconvenience;

[0098] S33: In the calculation process of S32, peak and off-peak periods of electricity will also be considered to optimize charging cost and efficiency. Specifically, when charging during peak periods, the cost function will adjust to a higher value and vice versa during off-peak hours, ensuring charging occurs when electricity demand is lower, thus reducing costs;

[0099] S34: According to As a result, the central control unit will configure the charging pile to automatically start charging at the optimal time, and set the charging strategy, including parameters of charging speed and charging duration, to meet user needs while considering efficiency and cost; through a comprehensive analysis of environmental factors and user behavior, it can accurately adjust the charging timing and strategy of the charging pile, significantly improve charging efficiency and reduce costs, and optimize charging time through intelligent algorithms, which can not only avoid excessive power load during peak hours, but also provide users with more convenient and economical charging services, increasing user satisfaction and the utilization rate of charging piles.

[0100] S4 specifically includes:

[0101] S41: The central control unit first determines the communication address and device type of the user's smart device, which is registered when the user first uses the charging pile and stored in the user information database of the charging pile;

[0102] S42: Based on the optimal start time obtained from step S3 and charging strategy, generating a charging invitation message, which includes an estimated start time of charging, an estimated duration, and user-specified options (such as charging power selection);

[0103] S43: The charging invitation message is formatted by a preset data formatting module to ensure that it complies with requirements of a wireless communication protocol, where the wireless communication protocol includes Bluetooth, Wi-Fi, NFC, or any other applicable wireless standard;

[0104] S44: The formatted charging invitation message is sent through a wireless communication module embedded in the central control unit. The wireless communication module uses encryption technology to ensure the security of data transmission. The encryption technology used includes WPA3 or TLS.

[0105] S45: The central control unit monitors the sending status of the message and confirms whether it is successfully received. If it is not successfully sent, it will try to resend it until it succeeds or exceeds the preset number of attempts. Through the above detailed and specific steps, the accuracy and timeliness of the charging invitation can be ensured. The use of secure wireless communication protocols and data encryption technology can protect user data security and avoid unauthorized access. In addition, through the automated communication process, the user experience is improved, allowing users to conveniently receive and respond to charging invitations, further improving the use efficiency of charging piles and user satisfaction.

[0106] S5 specifically includes:

[0107] S51: The user's smart device receives a charging invitation from the charging pile central control unit through an installed application, and the invitation notification is sent in the form of a push notification via a wireless network (such as Wi-Fi or cellular network);

[0108] S52: The charging invitation is displayed on the user device as a notification containing detailed information, including the estimated charging start time, charging duration, and user-defined options (e.g., charging power level selection);

[0109] S53: The user can choose to accept or adjust the time directly in the application on the smart device. If the user chooses to adjust the time, the user will be able to select a new start time or modify the charging parameters;

[0110] S54: After the user makes a choice, the smart device wirelessly sends the user's decision back to the central control unit of the charging station using a preset secure wireless communication protocol (e.g., TLS-encrypted HTTPS connection) through the installed application;

[0111] S55: After receiving the user's response, the central control unit will update the charging strategy according to the user's choice. If the user accepts the charging invitation, the central control unit will reserve the time and prepare the charging facilities; if the user chooses to adjust the time, the central control unit will re-evaluate and adjust the charging plan; the above steps enable users to respond to charging invitations conveniently and safely by providing an interactive user interface and a secure communication protocol. In this way, the charging process becomes more user-friendly and flexible, and the charging time can be adjusted according to the user's actual needs, thereby improving user satisfaction and the efficiency of the charging pile. In addition, the security of data transmission is ensured to prevent data leakage and unauthorized access.

[0112] S6 specifically includes:

[0113] S61: After receiving the confirmation information sent by the user through the smart device, the central control unit first verifies the validity of the information, including checking the timestamp and user identity identifier of the confirmation information to ensure the timeliness and security of the information;

[0114] S62: Once the confirmation information is verified to be valid, the central control unit will charge the battery according to the charging time and parameters selected by the user, including the charging start time and charging duration;

[0115] S63: The central control unit sends an adjustment instruction to the charging pile, including activating a pre-start state of the charging pile, where the pre-start state includes preheating the charging device and checking the integrity of the charging interface;

[0116] S64: After receiving the pre-start command, the charging pile performs a self-test procedure to ensure that all charging hardware and software are in good condition, including checking the power line, charging port and safety system;

[0117] S65: The charging pile has a built-in timer, which is used to automatically activate the charging process according to the time specified by the central control unit. The timer accurately controls the start time of charging to ensure accurate synchronization with the time confirmed by the user; the above steps ensure that the charging pile can automatically start charging at the exact time set by the user. Through precise control and state pre-adjustment, the efficiency and reliability of the charging process are improved. In addition, through preheating and safety inspection of the charging equipment, the risk of equipment failure and safety accidents can be minimized, providing a safer and more convenient user experience.

[0118] S7 specifically includes:

[0119] S71: The environment perception unit continuously monitors environmental data including temperature, humidity, vehicle flow and charging pile usage status, and sends the data to the central control unit through the real-time transmission module; the user behavior prediction unit also analyzes in real time the deviation between the user's current charging behavior and the historical data pattern, including charging time and charging frequency, and whether to terminate charging in advance or extend the charging time;

[0120] S72: After receiving the data from the environment perception unit and the user behavior prediction unit, the central control unit uses a composite decision support algorithm (CDSA) to process the data and dynamically adjusts the charging strategy by combining the current environment and user behavior data. The calculation formula of the composite decision support algorithm is:

[0121] ,in, is the new charging strategy cost function, which is used to evaluate the overall benefit and cost of the adjusted charging strategy. The lower the value, the better the charging strategy. Represents the specific time point to consider adjustment, which is used to determine the timing of charging strategy adjustment; A new environmental factor score that reflects the impact of adjusted environmental data (such as temperature, humidity, and traffic volume) on charging efficiency and safety. This is a comprehensive score that takes into account changes in all relevant environmental parameters; Score new user needs based on the latest data provided by the user behavior prediction unit (such as changes in users' charging frequency and time preferences), which reflects the urgency of user needs and the predictability of charging behavior; The difference between charging demand and power supply capacity is calculated as the difference between the expected charging demand and the actual available power. This parameter takes into account the load of the grid and the available capacity of the charging stations. These are weight factors, corresponding to the environmental factor score, user demand score, and the impact weight of the difference between charging demand and power supply capacity. These weight factors are optimized based on historical data and operation strategies to ensure that the strategy adjustment most effectively meets the needs of users and operators;

[0122] S73: When When the ambient temperature is too high and affects charging efficiency or safety, the central control unit will adjust the charging current or charging time to adapt to environmental changes; similarly, when Indicating that user behavior shows an abnormal increase or decrease in charging frequency, the central control unit will adjust the charging strategy, including providing discounts or adjusting charging power, to incentivize efficient charging behavior;

[0123] S74: All adjustments are recorded in real time and fed back to the user's smart device to ensure that changes in the charging process remain transparent to the user; through continuous monitoring of the above steps and real-time response to changes in the environment and user behavior, the charging strategy can be dynamically optimized, which not only improves the charging efficiency, but also enhances the adaptability of the charging process and user satisfaction. By accurately adjusting the charging parameters, energy use can be optimized, waste can be reduced, and the economy and environmental friendliness of the overall system can be improved.

[0124] S8 specifically includes:

[0125] S81: When the charging process is completed, the sensor system of the charging station will automatically record the final charging data, including the actual charging amount (in kilowatt-hours), the total charging time (in minutes), and the average power consumption during the charging process;

[0126] S82: The central control unit integrates the collected charging data and calculates a charging efficiency index. The specific formula of the charging efficiency index is: ,This formula is designed to evaluate the energy utilization efficiency of the charging process and reflect the effective use of electrical energy per unit time;

[0127] S83: The central control unit uses a preset report generation algorithm to convert all data into a charging summary report, which includes the charge amount, total charging time and charging efficiency indicators, and formats the report into a user-friendly format, including charts and visual displays of key indicators;

[0128] S84: The charging summary report is sent to the user's smart device through the wireless communication module of the charging pile using a data transmission protocol (such as HTTPS encrypted by TLS), and the transmission process ensures the confidentiality and integrity of the data;

[0129] S85: After the user's smart device receives the charging summary report, it will prompt the user to view it and provide the option to save or share the report. The above steps describe in detail how to convey important charging data and efficiency indicators to the user after charging is completed, thereby improving the transparency and participation of users in the charging process. The effective data transmission and reporting mechanism enables users to better understand the charging efficiency and helps them make more informed charging decisions, such as adjusting the charging time to take advantage of low electricity prices. In addition, ensuring the security of data transmission also enhances users' trust in the system.

[0130] like Figure 2 As shown, a charging pile wireless starting system is used to implement the above-mentioned charging pile wireless starting method, including the following modules:

[0131] Environmental perception module: It is equipped with multiple sensors to collect real-time environmental data around the charging pile, including temperature, humidity, traffic flow, and the current usage status of the charging pile, and transmit the collected data to the central control module;

[0132] User behavior prediction module: receives and analyzes the traffic flow data and historical charging data transmitted by the environment perception module, uses the preset behavior analysis algorithm to predict the user's charging needs, including the expected charging time and charging frequency, and sends the prediction results to the central control module;

[0133] Central control module: Based on the data received from the environment perception module and the user behavior prediction module, the central control module uses the preset decision support algorithm to analyze and determine the optimal start time and charging strategy of the charging pile. The central control module is also used to manage the operation and scheduling of the charging pile, including sending charging invitations to the user's smart device;

[0134] Wireless communication module: responsible for data transmission between the central control module and the user's smart device, including sending charging invitations and receiving user responses, and sending charging summary reports to the user's device after charging is completed; the above modules form a highly integrated and automated charging pile wireless start-up system through mutual transmission and processing of data and control signals. The system design ensures that all links work closely together from environmental monitoring to user behavior prediction, and then to the decision-making and execution of charging strategies to improve charging efficiency and user satisfaction.

[0135] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present invention is limited to these examples. Under the concept of the present invention, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the present invention as described above, which are not provided in detail for the sake of simplicity.

[0136] The present invention is intended to cover all such substitutions, modifications and variations that fall within the broad scope of the claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A charging pile wireless starting method, characterized in that: The following steps are involved: S1: The charging pile is equipped with an environmental sensing unit to collect environmental data around the charging pile, including temperature, humidity, traffic flow and the current usage status of the charging pile; S2: The user behavior prediction unit configured on the charging pile processes historical charging data using a preset behavior analysis algorithm to predict the user's future charging needs, including the expected charging time and frequency; S3: The central control unit configured in the charging pile determines the optimal start time and charging strategy of the charging pile using a preset decision support algorithm based on the data from the environment perception unit and the prediction results of the user behavior prediction unit; S4: The central control unit sends a charging invitation to the user's smart device through the wireless communication module, where the invitation includes the optimal charging start time and the estimated charging duration determined by the decision support algorithm; S5: After receiving the charging invitation, the user chooses to accept the invitation or adjust the charging time through his smart device, and wirelessly sends the selection back to the central control unit of the charging station; S6: After receiving the user's confirmation, the central control unit adjusts the state of the charging pile to automatically start charging at the time determined by the user; S7: During the charging process, the environment perception unit and the user behavior prediction unit continue to monitor any changes in the environment or behavior and update the charging strategy in real time; S8: After charging is completed, the central control unit will send a charging completion notification to the user's smart device through the wireless communication module and provide a charging summary report; The user behavior prediction unit configured by the charging pile processes the historical charging data using a preset behavior analysis algorithm to predict the user's future charging needs, including the expected charging time and charging frequency, including: S21: the user behavior prediction unit first collects the user's historical charging data, including the start time, end time, charging duration and charging interval of each charging; S22: a time series analysis method is used as a preset behavior analysis algorithm to perform pattern recognition on the user's charging time and frequency. The time series analysis calculates the expected charging time and frequency through the following formula: the expected charging time t next The estimation formula is: Among them, t last is the time of last charging, is the average of the user's historical charging intervals; the expected charging frequency f next The estimation formula is: in, Same as above, it represents the inverse of the average charging interval time, characterizing the user's charging frequency; S23: For outlier processing, the standard deviation and mean will be used to identify and process abnormal charging behaviors in statistics to ensure the accuracy of the prediction. The specific formula is: Among them, t i is the single charging time, is the mean value of the charging time, σ is the standard deviation; The central control unit configured by the charging pile determines the optimal start time and charging strategy of the charging pile according to the data from the environment perception unit and the prediction result of the user behavior prediction unit by using a preset decision support algorithm, including: S31: The central control unit receives environmental data from the environment perception unit, including temperature, humidity, vehicle flow, and usage status data of the charging pile; and also receives the prediction result from the user behavior prediction unit, including the user's estimated charging time t next and charging frequency f next ; S32: The decision support algorithm preset by the central control unit is specifically a multi-factor decision support algorithm, which will comprehensively consider environmental data and user behavior prediction results to determine the optimal start time and charging strategy of the charging pile. The specific calculation formula of the algorithm is: Among them, t opttmal is the optimal start time; argmin is a mathematical operator used to find the variable value that minimizes a given function; t represents a specific time point within the considered range; {t next , ..., t next +ΔT} represents the candidate set of charging time, from the predicted next charging time t next Start, to t next The charging process is then repeated for a period of time ΔT, where ΔT is the maximum delayed start time predicted from user behavior; C(t, E, U) is the cost function; E is the environmental factor score; U is the user demand score; S33: In the calculation process of S32, the peak and off-peak periods of electricity will also be considered to optimize the charging cost and efficiency. Specifically, when charging during peak hours, the cost function C will be adjusted to a higher value, and vice versa during off-peak hours, to ensure that charging is performed when electricity demand is low, thereby reducing costs; S34: According to t optimαl As a result, the central control unit will configure the charging pile to automatically start charging at the best time and set the charging strategy, including parameters of charging speed and charging time.

2. A charging pile wireless starting method according to claim 1, characterized in that: The S1 specifically includes: S11: The environment sensing unit is embedded with multiple sensor components, including a temperature sensor, a capacitive humidity sensor, and an infrared sensor. The temperature sensor uses a thermistor to measure the temperature of the surrounding air, and reflects the temperature change through the change of the resistance value to provide temperature data; the capacitive humidity sensor changes the capacitance value based on the change of the dielectric constant caused by the change of air humidity, so as to measure and record the relative humidity data of the surrounding environment; the infrared sensor is installed near the charging pile, which can sense the movement of the vehicle and count the number of passing vehicles by receiving and analyzing the changes of the infrared signal; S12: The use status of the charging pile is recorded by an integrated status monitoring unit, which is equipped with current and voltage measurement sensors to monitor the working current and voltage of the charging pile in real time, and judge whether the charging pile is being used by comparing the data; S13: Summarize all collected data, including temperature, humidity, vehicle flow, and charging pile usage status, and use a preset data processing algorithm to format and standardize the raw data to ensure data accuracy and availability; S14: The processed environmental data is sent to the central control unit of the charging pile through a preset wireless module.

3. A charging pile wireless starting method according to claim 1, characterized in that: The S4 specifically includes: S41: The central control unit first determines the communication address and device type of the user's smart device, which is registered when the user first uses the charging pile and stored in the user information database of the charging pile; S42: Based on the optimal start time t obtained from step S3 optimal and a charging strategy, generating a charging invitation message, the message including an estimated start time, an estimated duration, and user-specified options for charging; S43: The charging invitation message is formatted by a preset data formatting module to ensure that it complies with the requirements of the wireless communication protocol, where the wireless communication protocol includes Bluetooth, Wi-Fi, and NFC; S44: The formatted charging invitation message is sent through a wireless communication module embedded in the central control unit. The wireless communication module uses encryption technology to ensure the security of data transmission. The encryption technology used includes WPA3 or TLS. S45: The central control unit monitors the sending status of the message and confirms whether it is successfully received. If it is not successfully sent, it will try to resend it until it succeeds or exceeds the preset number of attempts.

4. A charging pile wireless starting method according to claim 1, characterized in that: The S5 specifically includes: S51: The user's smart device receives a charging invitation from the charging pile central control unit through the installed application, and the invitation notification is sent in the form of a push notification via a wireless network; S52: The charging invitation is displayed on the user device as a notification containing detailed information, including an estimated charging start time, charging duration, and user-defined options; S53: The user can choose to accept or adjust the time directly in the application on the smart device. If the user chooses to adjust the time, the user will be able to select a new start time or modify the charging parameters; S54: After the user makes a choice, the smart device wirelessly sends the user's decision back to the central control unit of the charging station using a preset secure wireless communication protocol through the installed application; S55: After receiving the user's response, the central control unit will update the charging strategy according to the user's choice. If the user accepts the charging invitation, the central control unit will reserve the time and prepare the charging facilities; if the user chooses to adjust the time, the central control unit will re-evaluate and adjust the charging plan.

5. A charging pile wireless starting method according to claim 1, characterized in that: The S6 specifically includes: S61: After receiving the confirmation information sent by the user through the smart device, the central control unit first verifies the validity of the information, including checking the timestamp and user identity identifier of the confirmation information to ensure the timeliness and security of the information; S62: Once the confirmation information is verified to be valid, the central control unit will charge according to the charging time and parameters selected by the user, including the charging start time and charging duration; S63: The central control unit sends an adjustment instruction to the charging pile, including activating a pre-start state of the charging pile, where the pre-start state includes preheating the charging device and checking the integrity of the charging interface; S64: After receiving the pre-start command, the charging pile performs a self-test procedure to ensure that all charging hardware and software are in good condition, including checking the power line, charging port and safety system; S65: The charging station has a built-in timer, which is used to automatically activate the charging process according to the time specified by the central control unit. The timer accurately controls the start time of charging to ensure accurate synchronization with the time confirmed by the user.

6. A charging pile wireless starting method according to claim 1, characterized in that: The S7 specifically includes: S71: The environment perception unit continuously monitors environmental data including temperature, humidity, vehicle flow and charging pile usage status, and sends the data to the central control unit through the real-time transmission module; the user behavior prediction unit also analyzes in real time the deviation between the user's current charging behavior and the historical data pattern, including charging time and charging frequency, and whether to terminate charging in advance or extend the charging time; S72: After receiving the data from the environment perception unit and the user behavior prediction unit, the central control unit uses a composite decision support algorithm to process the data and dynamically adjusts the charging strategy by combining the current environment and user behavior data. The calculation formula of the composite decision support algorithm is: C new (t, E′U′)=ω1·E′+ω2·U′+ω3·D(t), where, C new is the new charging strategy cost function; t represents the specific time point to be considered for adjustment, which is used to determine the timing of charging strategy adjustment; E' is the new environmental factor score; U' is the new user demand score; D(t) is the difference between charging demand and power supply capacity; ω1, ω2, ω3 are weight factors, corresponding to the impact weights of environmental factor score, user demand score and the difference between charging demand and power supply capacity, respectively; S73: When C new When the ambient temperature is too high and affects charging efficiency or safety, the central control unit will adjust the charging current or charging time to adapt to environmental changes; similarly, when C new Indicating that user behavior shows an abnormal increase or decrease in charging frequency, the central control unit will adjust the charging strategy, including providing discounts or adjusting charging power, to incentivize efficient charging behavior; S74: All adjustments are recorded and fed back to the user’s smart device in real time, ensuring that changes to the charging process remain transparent to the user.

7. A charging pile wireless starting method according to claim 1, characterized in that: The S8 specifically includes: S81: When the charging process is completed, the sensor system of the charging pile will automatically record the final charging data, including the actual charging amount, the total charging time, and the average power consumption during the charging process; S82: The central control unit integrates the collected charging data and calculates a charging efficiency index. The specific formula of the charging efficiency index is: This formula is designed to evaluate the energy efficiency of the charging process and reflect the effective use of electrical energy per unit time; S83: The central control unit converts all data into a charging summary report using a preset report generation algorithm, the report including a charging amount, a total charging time, and a charging efficiency index; S84: The charging summary report is sent to the user's smart device through the wireless communication module of the charging pile using a data transmission protocol; S85: After the user's smart device receives the charging summary report, it will prompt the user to view it and provide the option to save or share the report.

8. A charging pile wireless starting system, used to implement a charging pile wireless starting method as claimed in any one of claims 1 to 7, characterized in that: Includes the following modules: Environmental perception module: It is equipped with multiple sensors to collect real-time environmental data around the charging pile, including temperature, humidity, traffic flow, and the current usage status of the charging pile, and transmit the collected data to the central control module; User behavior prediction module: receives and analyzes the traffic flow data and historical charging data transmitted by the environment perception module, uses the preset behavior analysis algorithm to predict the user's charging needs, including the expected charging time and charging frequency, and sends the prediction results to the central control module; Central control module: Based on the data received from the environment perception module and the user behavior prediction module, the central control module uses the preset decision support algorithm to analyze and determine the optimal start time and charging strategy of the charging pile. The central control module is also used to manage the operation and scheduling of the charging pile, including sending charging invitations to the user's smart device; Wireless communication module: responsible for data transmission between the central control module and the user's smart device, including sending charging invitations and receiving user responses, and sending charging summary reports to the user's device after charging is completed.

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