New energy charging pile intelligent interaction system

Abstract

This invention relates to the field of charging infrastructure technology and discloses an intelligent interactive system for new energy charging piles, comprising: an environmental early warning module for real-time collection and intelligent processing of environmental parameters; a continuous mapping relationship storage module for establishing a continuous function mapping relationship between various environmental parameters and charging efficiency; a dynamic billing module for calculating additional energy consumption and generating a dynamic billing scheme; an active collaboration module for generating optimization schemes and displaying their impact, which are then automatically executed after user selection and confirmation; a transparent presentation module for transparently presenting quantified impacts and detailed cost breakdowns to users; and a predictive maintenance module for storing historical environmental data and providing predictive maintenance early warnings. This invention proactively adapts to environmental changes, transparently presents service value, transforms passive response into proactive collaboration, and achieves predictive maintenance through environmental data accumulation, effectively reducing operation and maintenance costs.

Description

Technical Field

[0001] This invention relates to the field of charging infrastructure technology, and in particular to an intelligent interactive system for new energy charging piles. Background Technology

[0002] Current mainstream smart charging pile interaction systems, while capable of basic functions such as QR code scanning for start / stop and payment, suffer from limited interaction dimensions, lack of environmental awareness, and rigid billing models. Specifically, the system cannot perceive the impact of severe weather on charging efficiency and safety; billing relies solely on the meter and a fixed unit price, failing to reflect additional energy consumption and maintenance costs caused by environmental factors; and users have a vague understanding of cost breakdowns and charging progress predictions. This results in a fragmented user experience, easily leading to disputes due to cost fluctuations or charging delays during abnormal weather, thus failing to fully realize the system's intelligent interaction value.

[0003] In existing technologies, while some charging piles are equipped with temperature and humidity sensors, their purpose is limited to safety warnings, and environmental parameters are not incorporated as continuous variables into billing and interaction logic. Existing billing models all use fixed unit prices, failing to quantify the impact of environmental parameters on charging efficiency, let alone convert additional energy consumption caused by environmental factors into environmental surcharges. Existing user interfaces only display basic parameters such as voltage and current, without explaining the cost structure or the reasons for charging delays. Existing systems are all passively responsive designs, unable to proactively generate and automatically execute optimization plans in the event of environmental anomalies. Existing operation and maintenance models rely on post-fault alarms, failing to utilize historical environmental data for predictive maintenance.

[0004] Therefore, this invention proposes an intelligent interactive system for new energy charging piles. Summary of the Invention

[0005] The purpose of this invention is to solve the problems of lack of environmental perception, rigid billing mode, opaque interaction, passive response and high operation and maintenance costs in the existing technology, and proposes an intelligent interactive system for new energy charging piles.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a smart interactive system for new energy charging piles, comprising: The environmental early warning module is integrated into the charging pile itself. It is used to collect environmental parameters of the environment where the charging pile is located in real time and perform intelligent processing to determine whether to generate an environmental early warning signal. The continuous mapping relationship storage module is pre-stored in the non-volatile memory of the charging pile body. It is used to treat environmental parameters as continuous variables and establish a continuous function mapping relationship between each environmental parameter and the charging efficiency. The dynamic billing module communicates with the environmental early warning module and the continuous mapping relationship storage module. It is used to call the corresponding continuous function mapping relationship based on environmental parameters, calculate the additional energy consumption caused by the environment, and generate a dynamic billing scheme that includes environmental additional costs. The active collaboration module communicates with the environmental early warning module and the dynamic billing module. When an environmental early warning signal is received, it generates an optimization plan and displays the impact of the optimization plan on charging time and cost, which is then automatically executed after the user selects and confirms it. The transparent presentation module communicates and connects with the dynamic billing module and the active collaboration module to transparently present to the user the quantitative impact of environmental parameters on charging efficiency and cost, as well as the cost breakdown details of the dynamic billing scheme. The predictive maintenance module communicates with the environmental early warning module to store historical environmental data, calculate the environmental exposure index, predict the remaining lifespan of the equipment, and issue a predictive maintenance warning when the remaining lifespan of the equipment is lower than a preset lifespan threshold.

[0007] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention enables proactive sensing of environmental changes by integrating an environmental early warning module into the charging pile itself to collect environmental parameters in real time and determine whether to generate an environmental early warning signal.

[0008] This invention establishes a continuous function mapping relationship between environmental parameters and charging efficiency by using a continuous mapping relationship storage module. It also calculates the additional energy consumption caused by the environment through a dynamic billing module and generates a dynamic billing scheme that includes environmental surcharges. This enables refined attribution of environmental costs and ensures that the billing scheme truly reflects the additional energy consumption caused by environmental parameters.

[0009] This invention generates an optimization plan upon receiving an environmental warning signal through an active collaboration module. It then displays the impact of the optimization plan on charging time and cost for the user to select and confirm before automatic execution. This enables a shift from passive response to active collaboration, allowing the system to proactively adapt to environmental changes.

[0010] This invention presents users with a transparent presentation module that quantifies the impact of environmental parameters on charging efficiency and costs, as well as details of the cost breakdown of the dynamic billing scheme. This solves the problem of users having a vague understanding of cost breakdown and charging progress, and reduces disputes.

[0011] This invention stores historical environmental data through a predictive maintenance module, calculates the environmental exposure index, predicts the remaining lifespan of equipment, and issues a predictive maintenance warning when the remaining lifespan of the equipment is lower than a preset lifespan threshold. It can use the accumulation of environmental data as the core input for predictive maintenance, thereby reducing operation and maintenance costs. Attached Figure Description

[0012] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a schematic diagram of the system configuration provided in an embodiment of the present invention; Figure 2 A system workflow diagram provided for embodiments of the present invention. Detailed Implementation

[0014] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following detailed description, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of the intelligent interactive system for new energy charging piles proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0015] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0016] The following examples are for illustrative purposes and are not intended to limit the scope of the invention.

[0017] The specific solution of the intelligent interactive system for new energy charging piles provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0018] Please see Figure 1 and Figure 2 It illustrates a schematic diagram of the system structure and a flowchart of the system operation of an intelligent interactive system for new energy charging piles provided in an embodiment of the present invention, including: The environmental early warning module is integrated into the charging pile itself. It is used to collect environmental parameters of the environment where the charging pile is located in real time and perform intelligent processing to determine whether to generate an environmental early warning signal. The continuous mapping relationship storage module is pre-stored in the non-volatile memory of the charging pile body. It is used to treat environmental parameters as continuous variables and establish a continuous function mapping relationship between each environmental parameter and the charging efficiency. The dynamic billing module communicates with the environmental early warning module and the continuous mapping relationship storage module. It is used to call the corresponding continuous function mapping relationship based on environmental parameters, calculate the additional energy consumption caused by the environment, and generate a dynamic billing scheme that includes environmental additional costs. The active collaboration module communicates with the environmental early warning module and the dynamic billing module. When an environmental early warning signal is received, it generates an optimization plan and displays the impact of the optimization plan on charging time and cost, which is then automatically executed after the user selects and confirms it. The transparent presentation module communicates and connects with the dynamic billing module and the active collaboration module to transparently present to the user the quantitative impact of environmental parameters on charging efficiency and cost, as well as the cost breakdown details of the dynamic billing scheme. The predictive maintenance module communicates with the environmental early warning module to store historical environmental data, calculate the environmental exposure index, predict the remaining lifespan of the equipment, and issue a predictive maintenance warning when the remaining lifespan of the equipment is lower than a preset lifespan threshold.

[0019] It should be noted that the environmental early warning signal is a trigger signal generated by the environmental early warning module when environmental parameters exceed preset parameter thresholds or the environmental change rate exceeds a preset change rate threshold, and is used to initiate the generation of optimization schemes.

[0020] Non-volatile memory refers to a storage device in the charging pile body used for long-term data storage. The data is not lost after power failure. It is used to pre-store the benchmark charging efficiency obtained by calibration in the continuous mapping relationship storage module, the continuous function mapping relationship between various environmental parameters and charging efficiency, coupling correction factor and coupling coefficient.

[0021] The continuous function mapping relationship refers to establishing a functional correspondence between temperature, humidity, rainfall, and wind speed as continuous variables and charging efficiency, including temperature decay function, humidity decay function, rainfall decay function, wind speed decay function, and multi-parameter coupling correction factor.

[0022] Environmental surcharges refer to the costs incurred due to additional energy consumption caused by environmental parameters, calculated at the current electricity price. They are an independent component of the dynamic billing scheme, separate from the base electricity charge and service fee.

[0023] The dynamic billing scheme refers to the charging fee scheme generated by the dynamic billing module, which includes basic electricity fees, basic service fees, and environmental surcharges. The environmental surcharges are calculated based on environmental parameters by calling a continuous function mapping relationship to calculate the additional energy consumption and then converting it to the current electricity price.

[0024] The optimization scheme refers to the optional charging strategies generated by the active coordination module to cope with abnormal environments, including delayed charging scheme, reduced power charging scheme, and switching charging pile scheme.

[0025] Quantitative impact refers to the numerical representation of the percentage decrease in charging efficiency, the increase in charging time, and the increase in cost caused by environmental parameters.

[0026] The breakdown of costs refers to breaking down the total cost into basic electricity costs, basic service fees, and environmental surcharges, and showing the percentage of each item.

[0027] Transparent presentation refers to showing users the causal relationship between environmental parameters and costs, the counterfactual comparison between current conditions and standard conditions, the detailed breakdown of costs, and the decomposition of efficiency impacts through an interactive interface.

[0028] Historical environmental data refers to the set of time-series environmental parameters that are continuously collected and stored throughout the entire life cycle of a charging pile.

[0029] The environmental exposure index is a quantitative indicator obtained by weighting and accumulating temperature, humidity, rainfall, and wind speed. It is used to characterize the degree of cumulative environmental stress that equipment is subjected to.

[0030] Predictive maintenance alerts refer to the alert information generated when the remaining life of equipment is calculated based on the environmental exposure index and falls below a threshold. The alert includes the predicted remaining life, the expected failure time, and maintenance recommendations.

[0031] In one specific implementation, the charging pile is installed in the outdoor parking lot of a commercial complex. The multi-source sensor array of the environmental early warning module is integrated on the top of the charging pile body. The temperature sensor, a PT100 platinum resistance temperature sensor, is installed on the shaded side of the charging pile housing. The humidity sensor, a capacitive humidity sensor, is integrated with the temperature sensor on the same probe. The rainfall sensor, a tipping bucket rain gauge, is installed on the unobstructed top of the charging pile. The wind speed sensor, a three-cup anemometer, is installed on the top of the charging pile. The sampling frequency for all sensors is set to once every 10 seconds.

[0032] At noon one day, the ambient temperature reached 38 degrees Celsius, humidity reached 65%, wind speed was 1 meter per second, and there was no rainfall. The data preprocessing unit removed outliers and imputed missing values ​​in the collected data to generate continuous and complete time-series environmental data. The environmental feature extraction unit calculated the temperature change rate to be 0.05 degrees Celsius per second and the humidity change rate to be 0.2% per second. The early warning judgment unit compared the current temperature of 38 degrees Celsius with the temperature threshold of 40 degrees Celsius, which was within the acceptable range. However, the temperature change rate of 0.05 degrees Celsius per second did not exceed the change rate threshold of 0.1 degrees Celsius per second, so no environmental early warning signal was generated, and charging proceeded normally.

[0033] Pre-stored reference charging efficiency in the continuous mapping relationship storage module The efficiency is 95%, with temperature attenuation function of 0.9916, humidity attenuation function of 0.955, wind speed attenuation function of 1.002, and no-rainfall attenuation function of 1. The single-factor efficiency product is 90.1%. The coupling attenuation calibration unit calculates the coupling correction factor λ = 0.99994 based on the pre-stored coupling coefficients: temperature and humidity coupling coefficient 0.15, temperature and rainfall coupling coefficient 0.02, humidity and rainfall coupling coefficient 0.01. Overall charging efficiency... =90.0%.

[0034] The additional energy consumption calculation unit of the dynamic billing module is based on the standard ambient charging power. With a power output of 60 kW and an estimated charging time of 1 hour, the calculated additional energy consumption ΔE = 6.66 kWh. The environmental surcharge generation unit is calculated based on the current electricity price of RMB 1.2 per kWh. =7.99 yuan. The dynamic billing scheme generation unit calculates a basic electricity fee of 72 yuan and a basic service fee of 10 yuan, for a total cost of 89.99 yuan. The user can view the cost details through the touchscreen of the transparent presentation module, and start charging after confirmation.

[0035] During charging, the temperature continuously rises to 42 degrees Celsius, with a temperature change rate of 0.15 degrees Celsius per second, exceeding the change rate threshold of 0.1 degrees Celsius per second. The early warning judgment unit generates an environmental early warning signal and sends it to the active coordination module. The active triggering unit sends a start command to the solution generation unit. Based on the temperature change rate characteristics, the solution generation unit predicts that the time required for the temperature to recover to the preset standard range is 2 hours. Combining this with the dynamic billing scheme, the total cost of starting after a 2-hour delay is calculated to be 78 yuan, which is lower than the current immediate charging cost of 89.99 yuan, thus generating a delayed charging solution. At the same time, the total cost of reducing the charging power to 40 kW is calculated to be 82 yuan, and the charging time increase of 0.8 hours is less than the preset time threshold of 1 hour, thus generating a reduced power charging solution. The impact quantification unit calls the dynamic billing model to calculate that the delayed charging solution is expected to save 11.99 yuan and extend the charging time by 2 hours, while the reduced power charging solution is expected to save 7.99 yuan and extend the charging time by 0.8 hours, which are displayed in a comparison list on the touch screen.

[0036] After the user selects the reduced power charging option, the automatic execution unit sends a reduced power command to the charging pile controller, reducing the charging power to 40 kilowatts and continuing charging.

[0037] The transparent presentation module displays information in real time during charging. The cause-and-effect explanation unit shows that the current ambient temperature of 42 degrees Celsius and humidity of 65% cause a 10% decrease in charging efficiency, an additional energy consumption of 6.66 kWh, and an environmental surcharge of 7.99 yuan. The counterfactual comparison unit shows that if the ambient temperature were 25 degrees Celsius and humidity were 50%, it would be expected to save 7.99 yuan and shorten the charging time by 0.5 hours. The cost attribution unit breaks down the total cost of 89.99 yuan into a basic electricity fee of 72 yuan, a basic service fee of 10 yuan, and an environmental surcharge of 7.99 yuan, further breaking down the environmental surcharge into a temperature contribution of 6.2 yuan and a humidity contribution of 1.79 yuan. The efficiency impact unit shows that the efficiency decrease rate of 10% and the expected increase in charging time of 0.5 hours are attributed to 7% temperature and 3% humidity.

[0038] The predictive maintenance module records environmental parameters daily and performs a weighted accumulation of these parameters, with temperature as the weighting factor. =1.2, humidity weighting factor =0.8, rainfall weighting coefficient =1.0, wind speed weighting coefficient =0.5. After 180 days of operation, the environmental exposure index was calculated. =1500. The equipment lifespan degradation unit is based on the equipment's design lifespan. =10 years, environmental sensitivity coefficient k=0.0005, calculate the remaining lifespan. =4.72 years. The maintenance trigger unit determines that the remaining lifespan of 4.72 years is lower than the preset lifespan threshold of 6 years, and generates a predictive maintenance warning. The warning includes the predicted remaining lifespan of 4.72 years, the estimated failure time of 2 years and 8 months, and the recommended maintenance operation of checking the heat dissipation system and insulation system. The warning is then pushed to the maintenance personnel through the transparent presentation module.

[0039] I. Environmental Early Warning Module The environmental early warning module includes a multi-source sensor array unit, a data preprocessing unit, an environmental feature extraction unit, and an early warning determination unit; The multi-source sensor array unit, consisting of a temperature sensor, a humidity sensor, a rainfall sensor, and a wind speed sensor, is integrated into the charging pile body and is used to collect environmental parameters. The data preprocessing unit is used to remove outliers and impute missing values ​​in environmental parameters to generate continuous and complete time-series environmental data. The environmental feature extraction unit is used to extract environmental change rate features from time-series environmental data. The environmental change rate features include temperature change rate, humidity change rate, rainfall change rate, and wind speed change rate. The early warning determination unit is used to determine whether the early warning conditions are met based on the time-series environmental parameters and environmental change rate characteristics. When the early warning conditions are met, an environmental early warning signal is generated. The early warning conditions are that any environmental parameter exceeds a preset parameter threshold or any environmental change rate exceeds a preset change rate threshold.

[0040] It should be noted that a multi-source sensor array refers to a sensor combination that integrates temperature sensors, humidity sensors, rain sensors, and wind speed sensors into the charging pile body according to a preset spatial layout. Its main purpose is to obtain multi-dimensional raw environmental parameters of the environment in which the charging pile is located, providing basic data for subsequent data preprocessing and environmental feature extraction.

[0041] Outlier removal refers to identifying and removing erroneous data that exceeds the normal range due to momentary sensor malfunctions or external interference. In this invention, it is used to eliminate the interference of sensor data quality problems on subsequent feature extraction and early warning determination.

[0042] Missing value imputation refers to using linear interpolation or neighbor-value filling to fill in data missing due to communication interruption or sampling failure. In this invention, it is used to generate a continuous and complete sequence of environmental parameters to ensure the continuity of time series analysis.

[0043] Time-series environmental data refers to a sequence of environmental parameters arranged in chronological order, including temperature, humidity, rainfall, and wind speed sequences. Its main purpose is to reflect the historical changes of environmental parameters over time and to provide a time dimension input for environmental feature extraction.

[0044] Environmental change rate features refer to the feature quantities that reflect the rate of change of environmental parameters extracted from time-series environmental data, including the rate of change of temperature, humidity, rainfall, and wind speed. The main purpose is to obtain information on the changing trends of environmental parameters and provide a dynamic basis for early warning judgment.

[0045] The rate of temperature change refers to the difference between the current temperature and the temperature at the previous moment divided by the sampling interval. In this invention, it is used to reflect the speed and trend of temperature change, providing a dynamic basis for early warning judgment.

[0046] The humidity change rate refers to the difference between the current humidity and the humidity at the previous moment, divided by the sampling interval. In this invention, it is used to reflect the speed and trend of humidity change, providing a dynamic basis for early warning judgment.

[0047] Rainfall change rate refers to the difference between the current rainfall intensity and the rainfall intensity at the previous moment, divided by the sampling interval. In this invention, it is used to reflect the speed and trend of rainfall intensity change, providing a dynamic basis for early warning judgment.

[0048] The wind speed change rate refers to the difference between the current wind speed and the wind speed at the previous moment divided by the sampling interval. In this invention, it is used to reflect the speed and trend of wind speed changes, providing a dynamic basis for early warning judgment.

[0049] Warning conditions refer to the criteria for triggering the generation of environmental warning signals, including environmental parameters exceeding preset thresholds and environmental change rates exceeding preset change rate thresholds. The main purpose is to realize a dual-condition warning mechanism, which responds to both scenarios where environmental parameters have exceeded the standards and scenarios where environmental parameters deteriorate rapidly.

[0050] The preset parameter threshold refers to the pre-set critical value of environmental parameters, including temperature threshold, humidity threshold, rainfall threshold, and wind speed threshold. In this invention, it is used to determine whether the current environmental parameters have exceeded the normal range.

[0051] The preset rate of change threshold refers to the pre-set critical value of environmental rate of change, including temperature rate of change threshold, humidity rate of change threshold, rainfall rate of change threshold, and wind speed rate of change threshold. In this invention, it is used to determine whether environmental parameters are rapidly deteriorating.

[0052] In one specific implementation, the charging pile is installed in the outdoor parking lot of a city commercial complex. A multi-source sensor array is integrated on the top of the charging pile body. The temperature sensor is a PT100 platinum resistance temperature sensor, installed on the outside of the charging pile housing in a shaded location, sampling once every 10 seconds. The humidity sensor is a capacitive humidity sensor, integrated with the temperature sensor in the same probe, installed on the outside of the charging pile housing in a well-ventilated location, sampling once every 10 seconds. The rain gauge is a tipping bucket rain gauge, installed on the top of the charging pile in an unobstructed location, sampling once every 10 seconds. The wind speed sensor is a three-cup anemometer, installed on the top of the charging pile, sampling once every 10 seconds.

[0053] At noon on a certain day, the ambient temperature was 38 degrees Celsius, humidity was 65%, wind speed was 1 meter per second, and there was no rainfall. The data preprocessing unit processed the collected data in real time. Continuous temperature data were arranged in chronological order to generate a temperature sequence of 37.8 degrees Celsius, 37.9 degrees Celsius, 38.0 degrees Celsius, 38.1 degrees Celsius, and 38.0 degrees Celsius. Humidity, rainfall, and wind speed data were processed in the same way to generate time-series environmental data.

[0054] The environmental feature extraction unit calculates environmental change rate features from time-series environmental data. The temperature change rate is calculated by dividing the difference between the current temperature of 38.0 degrees Celsius and the previous temperature of 37.9 degrees Celsius (0.1 degrees Celsius) by the sampling interval of 10 seconds, resulting in 0.01 degrees Celsius per second. The humidity change rate is calculated by dividing the difference between the current humidity of 65% and the previous humidity of 64.8% (0.2%) by the sampling interval of 10 seconds, resulting in 0.02% per second. The rainfall change rate is calculated by dividing the difference between the current rainfall intensity of 0 mm / h and the previous rainfall intensity of 0 mm / h (0 mm / h) by 0 by the sampling interval of 10 seconds, resulting in 0 mm / h per second. The wind speed change rate is calculated by dividing the difference between the current wind speed of 1.0 m / s and the previous wind speed of 0.9 m / s by 0.1 m / s by the sampling interval of 10 seconds, resulting in 0.01 m / s².

[0055] The early warning determination unit compares the collected environmental parameters with preset thresholds. The temperature threshold is set to 40 degrees Celsius; the current temperature is 38 degrees Celsius, which does not exceed the threshold. The humidity threshold is set to 80%; the current humidity is 65%, which does not exceed the threshold. The rainfall threshold is set to 20 mm / hour; there is currently no rainfall, which does not exceed the threshold. The wind speed threshold is set to 15 m / s; the current wind speed is 1 m / s, which does not exceed the threshold. The temperature change rate threshold is set to 0.1 degrees Celsius / second; the current temperature change rate is 0.01 degrees Celsius / second, which does not exceed the threshold. The humidity change rate threshold is set to 1% / second; the current humidity change rate is 0.02% / second, which does not exceed the threshold. The rainfall change rate threshold is set to 5 mm / hour / second; the current rainfall change rate is 0 mm / hour / second, which does not exceed the threshold. The wind speed change rate threshold is set to 2 m / s², which is 0.01 m / s², which does not exceed the threshold. Since none of the conditions are met, the early warning determination unit does not generate an environmental early warning signal, and charging continues normally.

[0056] One hour later, the temperature rose to 42 degrees Celsius, with a temperature change rate of 0.15 degrees Celsius per second. The early warning determination unit determined that the temperature change rate of 0.15 degrees Celsius per second exceeded the preset change rate threshold of 0.1 degrees Celsius per second, thus meeting the early warning conditions. It then generated an environmental early warning signal and sent the signal to the active coordination module.

[0057] II. Continuous Mapping Relationship Storage Module The continuous mapping relationship storage module includes an image data acquisition unit, a three-dimensional reconstruction unit, a surgical path planning unit, and a 3D printed positioning guide unit; The benchmark efficiency calibration unit is used to calibrate the benchmark charging efficiency of the charging pile through multiple charging tests under the premise that the collected environmental parameters are all under the preset standard environment. The preset standard environment includes a temperature of 20℃ to 30℃, humidity of 40% to 60%, no rainfall, and wind speed of less than 2m / s. The single-phase attenuation calibration unit is used to calibrate the attenuation relationship between various environmental parameters and charging efficiency through charging tests under the condition that a single environmental parameter changes while other environmental parameters remain fixed within a preset standard range, and generates a temperature attenuation function. Humidity decay function Rainfall attenuation function and wind speed attenuation function ; The coupling attenuation calibration unit is used to calibrate the coupling attenuation relationship of multiple environmental parameters through charging tests under conditions where multiple environmental parameters change simultaneously, and to generate the coupling correction factor λ (T, H, R, W) and the coupling coefficients between each environmental parameter. Based on the coupling correction factor and the individual attenuation functions, the overall charging efficiency is calculated. .

[0058] Furthermore, in the single-phase attenuation calibration unit, the temperature attenuation function Humidity decay function Rainfall attenuation function and wind speed attenuation function The expressions include: Temperature decay function The expression is:

[0059] Where T is the current ambient temperature. To preset the standard ambient temperature, This refers to the maximum permissible operating temperature of the charging station. For temperature sensitivity coefficient, The value range is from 0.5 to 0.9, and when T≤ hour, =1; Humidity decay function The expression is:

[0060] Where H represents the current ambient humidity. To preset the standard ambient humidity, This is the normalized reference range for humidity. Humidity sensitivity coefficient The value range is from 0.5 to 1.5; Rainfall decay function The expression is:

[0061] Where R represents rainfall intensity. Based on rainfall intensity, The rainfall sensitivity coefficient The value range is from 0.3 to 0.6; Wind speed attenuation function The expression is:

[0062] Where W represents the current wind speed. To preset the standard ambient wind speed, This refers to the maximum permissible operating wind speed for the charging station. For wind speed sensitivity coefficient, The value range is from 0.2 to 0.5, and when W ≤ hour, =1.

[0063] Furthermore, in the coupling attenuation calibration unit, the coupling correction factor λ(T, H, R, W) and the overall charging efficiency are... The expressions include: The expression for the coupling correction factor λ(T, H, R, W) is:

[0064] Where i and j represent the i-th and j-th environmental parameters, respectively. and Let be the individual decay functions corresponding to the i-th and j-th environmental parameters, respectively. Let be the coupling coefficient between the i-th environmental parameter and the j-th environmental parameter, and 0 ≤ 1. ≤1; Overall charging efficiency The expression is:

[0065] in, The reference charging efficiency is calibrated by the reference efficiency calibration unit.

[0066] It should be noted that the benchmark charging efficiency refers to the charging efficiency calibrated through multiple charging tests under preset standard environmental conditions. It is mainly used as a benchmark reference value for calculating the impact of environmental parameters on charging efficiency.

[0067] The temperature decay function refers to the continuous functional mapping relationship between temperature and charging efficiency. In this invention, it is used to quantify the degree of impact on charging efficiency when the temperature deviates from the preset standard ambient temperature.

[0068] The humidity decay function refers to the continuous functional mapping relationship between humidity and charging efficiency. In this invention, it is used to quantify the degree of impact on charging efficiency when humidity deviates from the preset standard ambient humidity.

[0069] The rainfall attenuation function refers to the continuous functional mapping relationship between rainfall and charging efficiency. In this invention, it is used to quantify the degree of influence of rainfall intensity on charging efficiency.

[0070] The wind speed attenuation function refers to the continuous functional mapping relationship between wind speed and charging efficiency. In this invention, it is used to quantify the degree of impact on charging efficiency when the wind speed deviates from the preset standard ambient wind speed.

[0071] The temperature sensitivity coefficient is a coefficient in the temperature decay function that reflects the degree to which charging efficiency is sensitive to temperature changes. It is mainly obtained through charging test calibration and is used to adjust the weight of the influence of temperature on charging efficiency.

[0072] The humidity sensitivity coefficient is a coefficient in the humidity decay function that reflects the degree to which charging efficiency is sensitive to changes in humidity. It is mainly obtained through charging test calibration and is used to adjust the weight of the influence of humidity on charging efficiency.

[0073] The rainfall sensitivity coefficient is a coefficient in the rainfall decay function that reflects the sensitivity of charging efficiency to changes in rainfall. It is mainly obtained through charging test calibration and is used to adjust the weight of the influence of rainfall on charging efficiency.

[0074] The wind speed sensitivity coefficient is a coefficient in the wind speed decay function that reflects the sensitivity of charging efficiency to changes in wind speed. It is mainly obtained through charging test calibration and is used to adjust the weight of the influence of wind speed on charging efficiency.

[0075] The coupling correction factor is a coefficient used to correct the deviation between the product of individual attenuation functions and the measured overall efficiency when multiple environmental parameters change simultaneously. In this invention, it is used to quantify the nonlinear interaction effect when multiple environmental parameters are superimposed.

[0076] The coupling coefficient is a coefficient in the coupling correction factor that reflects the strength of the interaction between two environmental parameters. It is mainly obtained through charging test calibration under the condition of simultaneous change of multiple environmental parameters, and is used to quantify the degree of coupling influence between pairs of environmental parameters.

[0077] The overall charging efficiency refers to the actual charging efficiency under the current environmental parameter conditions, taking into account the influence of each individual environmental parameter and their coupling effect. In this invention, it is used by the dynamic billing module to calculate the additional energy consumption caused by the environment.

[0078] In one specific implementation, the charging piles are installed in the outdoor parking lot of a city commercial complex. The continuous mapping relationship storage module is pre-calibrated through charging tests.

[0079] The benchmark efficiency calibration unit conducted 10 charging tests on the charging pile under a preset standard environment of 25 degrees Celsius, 50% humidity, no rainfall, and 0 m / s wind speed, recording the charging efficiency of each test and taking the average value as the benchmark charging efficiency. The calibration result was 95%.

[0080] The single-phase attenuation calibration unit tested the charging efficiency at temperatures of 25°C, 30°C, 35°C, 40°C, and 45°C under conditions of a single temperature parameter variation, 50% humidity, no rainfall, and 0 m / s wind speed. Test data showed an efficiency of 95% at 25°C, 94% at 30°C, 92% at 35°C, 89% at 40°C, and 85% at 45°C. The temperature attenuation function was obtained through curve fitting. Temperature sensitivity coefficient The calibration value is 0.02.

[0081] Under conditions of single humidity parameter variation, constant temperature of 25 degrees Celsius, no rainfall, and wind speed of 0 m / s, charging efficiency was tested at humidity levels of 50%, 60%, 70%, 80%, and 90%. Test data showed an efficiency of 95% at 50% humidity, 93% at 60%, 90% at 70%, 86% at 80%, and 81% at 90%. A humidity decay function was obtained through curve fitting. Humidity sensitivity coefficient The calibration value is 0.0002.

[0082] Under conditions of single rainfall parameter variation, temperature 25 degrees Celsius, humidity 50%, and wind speed 0 m / s, the charging efficiency was tested at rainfall intensities of 0 mm / h, 5 mm / h, 10 mm / h, 20 mm / h, and 30 mm / h. Test data showed an efficiency of 95% at 0 mm / h, 94% at 5 mm / h, 92.5% at 10 mm / h, 90% at 20 mm / h, and 87% at 30 mm / h. The rainfall attenuation function was obtained through curve fitting. Rainfall sensitivity coefficient The value is set at 0.003, referencing rainfall intensity. Take 10 millimeters per hour.

[0083] Under conditions of single wind speed variation, temperature 25 degrees Celsius, humidity 50%, and no rainfall, the charging efficiency was tested at wind speeds of 0 m / s, 2 m / s, 4 m / s, 6 m / s, and 8 m / s. Test data showed an efficiency of 95% at wind speed 0, 95.2% at 2 m / s, 95.5% at 4 m / s, 95.8% at 6 m / s, and 96% at 8 m / s. The wind speed attenuation function was obtained through curve fitting. Wind speed sensitivity coefficient The calibration value is 0.0005, and the reference wind speed is 5 meters per second.

[0084] The coupling attenuation calibration unit was tested under conditions where multiple environmental parameters changed simultaneously. At a temperature of 35 degrees Celsius, humidity of 70%, no rainfall, and wind speed of 0 meters per second, the measured overall charging efficiency was 86%.

[0085] The temperature attenuation function is 0.995, the humidity attenuation function is 0.92, and the product of the individual attenuation functions is 86.9%, close to the measured value of 86%, with a deviation of 0.9%. When the temperature is 35 degrees Celsius, the humidity is 70%, and the rainfall intensity is 10 mm / hour, the measured overall charging efficiency is 82%. The rainfall attenuation function is 0.997, and the product of the individual attenuation functions is 86.7%, deviating from the measured value of 82% by 4.7%, indicating the existence of a coupling effect. Through fitting multiple sets of test data, the coupling coefficients for temperature and humidity are obtained as follows: 0.15; 0.05; and 0.08.

[0086] When the temperature is 35 degrees Celsius, the humidity is 70%, and the rainfall intensity is 10 mm per hour, the coupling correction factor λ = 0.99991.

[0087] Overall charging efficiency =86.6%, a deviation of 4.6% from the measured value of 82%, indicating the need to add higher-order coupling terms or adjust the coupling coefficients. Through optimization fitting, the coupling coefficients for temperature and humidity were adjusted to 0.25, temperature and rainfall to 0.15, and humidity and rainfall to 0.12, and the calculations were then repeated. =83.2%, deviating from the measured value of 82% by 1.2%, meeting the engineering accuracy requirements. The final calibrated coupling coefficients are: temperature and humidity coupling coefficient adjusted to 0.25, temperature and rainfall coupling coefficient adjusted to 0.15, humidity and rainfall coupling coefficient adjusted to 0.12, and all other coupling coefficients set to 0. This comprehensive charging efficiency calculation formula is stored in the continuous mapping relationship storage module for use by the dynamic billing module.

[0088] III. Dynamic Billing Module The dynamic billing module includes an additional energy consumption calculation unit, an environmental surcharge generation unit, and a dynamic billing scheme generation unit; The additional energy consumption calculation unit is used to calculate the additional energy consumption caused by the environment based on the collected environmental parameters and by calling the continuous function mapping relationship. The specific formula is as follows:

[0089] Where ΔE represents the additional energy consumption. This is the charging power under a preset standard environment. For overall charging efficiency, The charging start time. This is the charging end time; The environmental surcharge generation unit is used to generate environmental surcharges based on additional energy consumption. The specific formula is as follows:

[0090] in, Additional costs to the environment, The current electricity price; The dynamic billing scheme generation unit calculates the basic electricity fee based on the charging power, actual charging duration, and current electricity price under a preset standard environment, and combines it with the basic service fee and environmental surcharge to generate a dynamic billing scheme. The specific formula is as follows:

[0091] in, For dynamic billing schemes, This is the charging power under a preset standard environment. This refers to the actual charging time. At the current electricity price, Basic service fee.

[0092] It should be noted that additional energy consumption refers to the extra electrical energy consumed due to a decrease in charging efficiency caused by environmental parameters. This is mainly determined by the overall charging efficiency. The difference between the efficiency and the standard efficiency is calculated and used to quantify the impact of environmental parameters on energy consumption.

[0093] In one specific implementation, the charging pile is installed in the outdoor parking lot of a commercial complex in a city. At noon on a certain day, the ambient temperature was 38 degrees Celsius, humidity was 65%, wind speed was 1 meter per second, and there was no rainfall. The pre-stored temperature decay function in the continuous mapping relationship storage module is 0.9916, humidity decay function is 0.955, wind speed decay function is 1.002, rainfall decay function is 1, coupling correction factor λ = 0.99994, and the baseline charging efficiency is... =95%, calculate the overall charging efficiency. =90.0%.

[0094] The additional energy consumption calculation unit calculates the charging power under standard conditions. =60 kW, charging time =1 hour, the calculated additional energy consumption ΔE = 6.67 kWh.

[0095] Environmental surcharge generation unit based on current electricity price =1.2 yuan per kilowatt-hour, calculate the environmental surcharge. =8.00 yuan.

[0096] The dynamic billing scheme generation unit calculates a basic electricity fee of 72 yuan and a basic service fee. =10 yuan, total cost of dynamic billing plan =90.00 yuan.

[0097] After the user views the fee details through the transparent presentation module and confirms charging, the charging station begins charging at a power of 60 kilowatts.

[0098] After 15 minutes of charging, the ambient temperature rose to 42 degrees Celsius, with a temperature change rate of 0.15 degrees Celsius per second. The environmental warning module generated an environmental warning signal. Upon receiving the warning signal, the active coordination module activated. The scheme generation unit predicted, based on the temperature change rate characteristics, that it would take 2 hours for the temperature to recover to the preset standard range. Combining this with the dynamic billing scheme, the total cost of starting after a 2-hour delay was calculated to be 78 yuan, lower than the estimated total cost of continuing charging. Therefore, a delayed charging scheme was generated. Simultaneously, the estimated total cost of reducing the charging power to 40 kilowatts was calculated, and recalculated based on the charging efficiency after the power reduction. After the power reduction, due to the reduced charging power, equipment heat generation decreased, and charging efficiency slightly improved, resulting in an overall improved charging efficiency. The efficiency improved from 90.0% to 92.0%. However, the charging time increased to 1.2 hours after the power reduction, resulting in an additional energy consumption ΔE = 4.18 kWh and environmental costs. =5.02 yuan, basic electricity fee 57.60 yuan, total cost =72.62 yuan, saving 17.38 yuan compared to the current 90.00 yuan, generating a power reduction charging solution.

[0099] The impact quantification unit presents two options in a comparison list: the delayed charging option is expected to save 12 yuan and extend the charging time by 2 hours, while the reduced-power charging option is expected to save 17.38 yuan and extend the charging time by 0.2 hours. After the user selects the reduced-power charging option, the automatic execution unit sends a reduced-power command to the charging pile controller, reducing the charging power to 40 kilowatts, and charging continues. After charging is completed, the actual total cost is 72.62 yuan, including a basic electricity fee of 57.60 yuan, a basic service fee of 10 yuan, and an environmental surcharge of 5.02 yuan, saving 17.38 yuan compared to the original option.

[0100] IV. Active Collaboration Module The proactive collaboration module includes a proactive triggering unit, a scheme generation unit, an impact quantification unit, and an automatic execution unit; An active triggering unit is used to send a start command to the scheme generation unit when an environmental early warning signal is received; The scheme generation unit is used to generate an optimized scheme based on the environmental change rate characteristics and the dynamic billing scheme when a start command is received. The impact quantification unit is used to calculate the estimated total cost and estimated completion time of each optimization scheme by calling the dynamic billing model, and display them in the form of a comparison list; The automatic execution unit is used to set a delayed charging timer when the user selects a delayed charging scheme, send a power reduction command to the charging pile controller when the user selects a power reduction charging scheme, and send the location of the switched charging pile to the user terminal when the user selects to switch charging pile schemes.

[0101] Furthermore, in the solution generation unit, the optimized solutions include: The delayed charging scheme is used to predict the time required for environmental parameters to recover to a preset standard range based on the change rate characteristics of each environmental parameter. When the total cost of starting after delayed charging for the predicted time is lower than the total cost of immediate charging, a delayed charging scheme is generated. The power reduction charging scheme is used to generate a power reduction charging scheme when the total cost is reduced after reducing the charging power and the increase in charging time is less than a preset time threshold. The charging station switching scheme is used when there is an indoor charging station in the current charging station, and the expected total cost of the indoor charging station is lower than that of the current charging station and the expected arrival time is less than a preset arrival threshold.

[0102] It should be noted that the start command is a control signal sent by the active triggering unit to the scheme generation unit to start the optimization scheme generation process.

[0103] Dynamic billing model refers to a calculation model used to calculate costs and durations under different charging strategies.

[0104] The estimated total cost refers to all expenses required to complete the charging process according to the optimized plan.

[0105] The estimated completion time refers to the total time from startup to full charge when the optimized plan is executed.

[0106] A comparison list is a display format that presents the key indicators of multiple optimization schemes side by side, making it easier for users to make an intuitive selection.

[0107] A delayed charging timer is a timing device used to automatically start charging after the environment has recovered.

[0108] The power reduction command is a control command sent to the charging pile controller to reduce the charging output power.

[0109] User terminal refers to the mobile phone or in-vehicle device used by the user to receive information and confirm operations.

[0110] In one specific implementation, the charging pile is installed in the outdoor parking lot of a city commercial complex. After charging for 15 minutes, the ambient temperature rises from 38 degrees Celsius to 42 degrees Celsius, with a temperature change rate of 0.15 degrees Celsius per second, exceeding the preset change rate threshold of 0.1 degrees Celsius per second. The environmental early warning module generates an environmental early warning signal and sends it to the active coordination module.

[0111] Upon receiving an environmental warning signal, the active triggering unit immediately sends a start command to the scheme generation unit.

[0112] The scheme generation unit predicts, based on the temperature change rate characteristics, that the ambient temperature will recover to the preset standard range of 25 to 30 degrees Celsius within 2 hours. It then calls the dynamic billing module to calculate the total cost of continuing charging at the current time: 90.00 yuan, including a basic electricity fee of 72 yuan, a basic service fee of 10 yuan, and an environmental surcharge of 8.00 yuan. The total cost of starting charging after a 2-hour delay is calculated to be 78.00 yuan, which is lower than the cost of continuing charging at the current time, thus generating a delayed charging scheme. Simultaneously, the unit calculates the total cost of reducing the charging power from 60 kW to 40 kW. After reducing the power, the charging efficiency increases from 90.0% to 92.0%, the charging time increases from 1 hour to 1.2 hours, the additional energy consumption is 4.18 kWh, the environmental surcharge is 5.02 yuan, the basic electricity fee is 57.60 yuan, and the total cost is 72.62 yuan, which is lower than the cost of continuing charging at the current time. Furthermore, the increase in charging time of 0.2 hours is less than the preset time threshold of 0.5 hours, thus generating a power reduction charging scheme. Searching the current charging station information, there is an indoor charging pile within the station, 50 meters away, with an estimated arrival time of 1 minute. The expected total cost of this indoor charging pile is 68.00 yuan, which is lower than the current charging pile's 90.00 yuan, and the estimated arrival time of 1 minute is less than the preset arrival threshold of 5 minutes. A charging pile switching plan is generated.

[0113] The quantitative unit uses the dynamic billing model to calculate the estimated total cost and estimated completion time for each option: The delayed charging option has an estimated total cost of 78.00 yuan and an estimated completion time of 3 hours (charging starts 2 hours later plus 1 hour); the reduced power charging option has an estimated total cost of 72.62 yuan and an estimated completion time of 1.2 hours; the switching charging station option has an estimated total cost of 68.00 yuan and an estimated completion time of 1.02 hours (arrival time 1 minute plus 1 hour of charging). The three options, along with their cost and time comparisons, are displayed in a comparison list on the transparent presentation module screen.

[0114] After viewing the comparison list on the touchscreen, the user selects the reduced-power charging option. The automatic execution unit sends a power reduction command to the charging pile controller, lowering the charging power from 60 kW to 40 kW, and charging continues. Charging is completed after 1.2 hours, with an actual total cost of 72.62 yuan, saving 17.38 yuan compared to the original option. If the user selects the delayed charging option, the automatic execution unit sets the delayed charging timer to 2 hours, the charging pile enters standby mode, and automatically starts charging after 2 hours. If the user chooses to switch charging pile options, the automatic execution unit sends the location and navigation information of the indoor charging pile to the user's mobile terminal, allowing the user to drive to that charging pile to continue charging.

[0115] V. Transparent Presentation Module The transparent presentation module includes a causal explanation unit, a counterfactual comparison unit, a cost attribution unit, and an efficiency impact unit; The cause-and-effect explanation unit is used to show users the correspondence between environmental parameters and increased costs during the charging process. The correspondence includes the current environmental parameters, the percentage decrease in efficiency caused by the environmental parameters, the additional energy consumption corresponding to the percentage decrease in efficiency, and the additional environmental costs converted from the additional energy consumption. The counterfactual comparison unit is used to show users counterfactual comparison information between the current charging conditions and standard environmental conditions. The counterfactual comparison information includes the expected amount of money saved and the expected reduction in charging time if the environmental parameters are at preset standard values. The cost attribution unit is used to break down the total cost in the dynamic billing scheme into basic electricity cost, basic service cost and environmental surcharge, and further break down the environmental surcharge into the surcharge amount contributed by each environmental parameter. The efficiency impact unit is used to display to the user the comparison information between the charging efficiency under the current environmental parameters and the efficiency under the standard environment. The efficiency comparison information includes the efficiency reduction ratio, the expected extension time, and the contribution ratio of each environmental parameter to the efficiency reduction.

[0116] It should be noted that the increase in cost refers to the portion of the charging cost under current environmental conditions that is higher than the cost under standard environmental conditions.

[0117] The current environmental parameters refer to the real-time temperature, humidity, rainfall intensity, and wind speed values ​​collected at the charging site.

[0118] The percentage decrease in efficiency refers to the extent to which charging efficiency is reduced in the current environment relative to the efficiency in the standard environment.

[0119] Extra energy consumption refers to the excess electrical energy consumed due to decreased efficiency.

[0120] Counterfactual information refers to reference information obtained by comparing the current charging state with the ideal environmental state.

[0121] The estimated savings amount refers to the amount of money that could be saved under standard conditions.

[0122] The expected reduction in charging time refers to the amount of time that can be reduced under standard conditions.

[0123] Basic electricity charges refer to the basic electricity costs calculated based on the amount of electricity charged and the electricity price.

[0124] The basic service fee refers to the fixed service fee charged for providing charging services.

[0125] The additional cost amount contributed by environmental parameters refers to the additional cost amount generated by a single environmental parameter.

[0126] Efficiency comparison information refers to the difference between current efficiency and standard efficiency.

[0127] The expected extended duration refers to the additional charging time compared to the standard environment due to environmental factors.

[0128] In one specific implementation, the charging station was installed in the outdoor parking lot of a city commercial complex. During the charging process, the ambient temperature was 38 degrees Celsius, the humidity was 65%, the wind speed was 1 meter per second, and there was no rainfall. The overall charging efficiency was 90.0%, the additional energy consumption was 6.67 kWh, the environmental surcharge was 8.00 yuan, and the total cost was 90.00 yuan.

[0129] The cause-and-effect explanation unit displays on the touchscreen: The current ambient temperature of 38 degrees Celsius causes a decrease in charging efficiency of 8.4%, and the humidity of 65% causes a decrease in charging efficiency of 4.5%, resulting in a combined decrease in efficiency of 12.9%, with an actual efficiency of 90.0%. The decrease in efficiency leads to an additional energy consumption of 6.67 kWh, which translates to an environmental surcharge of 8.00 yuan based on an electricity price of 1.2 yuan per kWh. Of this, temperature contributes 6.20 yuan and humidity contributes 1.80 yuan.

[0130] The counterfactual comparison unit displays on the touchscreen: If the ambient temperature is 25 degrees Celsius and the humidity is 50%, the expected charging efficiency is 95.0%, the charging time is 0.95 hours, and the total cost is 72.00 yuan, which is 18.00 yuan cheaper than the current cost and the charging time is shortened by 0.05 hours.

[0131] The cost attribution unit displays the total cost of 90.00 yuan in a pie chart on the touchscreen: basic electricity fee of 72 yuan (80%), basic service fee of 10 yuan (11%), and environmental surcharge of 8.00 yuan (9%). Clicking on the environmental surcharge expands the details: temperature contribution of 6.20 yuan (77.5%) and humidity contribution of 1.80 yuan (22.5%).

[0132] The efficiency impact unit displays the breakdown of the 12.9% efficiency decrease on the touchscreen in the form of a bar chart: temperature caused a decrease of 8.4%, accounting for 65%, and humidity caused a decrease of 4.5%, accounting for 35%. It also shows the expected extension of 0.05 hours, of which temperature caused an extension of 0.0325 hours and humidity caused an extension of 0.0175 hours.

[0133] After viewing the transparently presented information, users clearly understand the cost breakdown and environmental impact, and choose to continue charging. Upon completion of charging, the actual total cost is 90.00 yuan, consistent with the displayed information. If the user chooses a reduced-power charging option, the transparent presentation module will update the content displayed in each unit in real time, reflecting the cost breakdown and efficiency impact after reducing power.

[0134] VI. Predictive Maintenance Module The predictive maintenance module includes an environmental exposure accumulation unit, an equipment lifespan degradation unit, and a maintenance trigger unit; The environmental exposure accumulation unit is used to weight and accumulate various environmental parameters to generate an environmental exposure index. The specific formula is as follows:

[0135] in, The environmental exposure index is T(t), where T(t) is the temperature at time t. Temperature threshold Here, H(t) represents the temperature reference value, and H(t) represents the humidity at time t. Standard humidity, Here is a humidity reference value, and R(t) is the rainfall intensity at time t. Here is a reference value for rainfall intensity, and W(t) is the wind speed at time t. Standard wind speed, This is a reference value for wind speed. , , , The weighting coefficients for temperature, humidity, rainfall, and wind speed are respectively, and satisfy the following conditions: + + + =1; The equipment lifespan degradation unit is used to calculate the remaining lifespan of the equipment based on the environmental exposure index. The specific formula is as follows:

[0136] in, For the remaining lifespan of the equipment, The design life of the equipment is given by k, and the environmental sensitivity coefficient is given by k. The maintenance triggering unit is used to generate a predictive maintenance warning when the remaining lifespan of the equipment is lower than a preset lifespan threshold. The predictive maintenance warning includes the predicted remaining lifespan of the equipment, the expected failure time, and the recommended maintenance operations.

[0137] It should be noted that the temperature weighting coefficient refers to the weighting coefficient of temperature in the calculation of the environmental exposure index. In this invention, it is used to adjust the weight of the impact of temperature on equipment lifespan and is obtained by fitting historical failure data.

[0138] The humidity weighting coefficient refers to the weighting coefficient of humidity in the calculation of the environmental exposure index. In this invention, it is used to adjust the weight of the influence of humidity on equipment lifespan and is obtained by fitting historical fault data.

[0139] The rainfall weighting coefficient refers to the weighting coefficient of rainfall in the calculation of the environmental exposure index. In this invention, it is used to adjust the weight of the impact of rainfall on equipment lifespan and is obtained by fitting historical fault data.

[0140] The wind speed weighting coefficient refers to the weighting coefficient of wind speed in the calculation of the environmental exposure index. In this invention, it is used to adjust the weight of the impact of wind speed on equipment lifespan and is obtained by fitting historical fault data.

[0141] Equipment remaining life refers to the remaining usable time of equipment predicted based on the environmental exposure index. In this invention, it is used to determine whether the equipment needs preventive maintenance to avoid sudden failures.

[0142] The environmental sensitivity coefficient is a coefficient that reflects the degree of sensitivity of equipment to environmental stress. It is mainly obtained by fitting the correlation analysis between the equipment's historical failure data and the environmental exposure index, and is used to adjust the intensity of the impact of environmental exposure on lifespan degradation.

[0143] In one specific implementation, the charging piles are installed in outdoor parking lots in a coastal area of ​​a city. The region's climate is characterized by hot and rainy summers, high humidity in winters, and consistently high wind speeds. During the 180-day operation of the charging piles, an environmental exposure accumulation unit records environmental parameters daily and performs weighted accumulation.

[0144] Temperature weighting coefficient Set to 1.2, temperature threshold Set to 35 degrees Celsius. The cumulative value Σmax(0, T(t)-35) of temperatures exceeding 35 degrees Celsius over 180 days is 1200 degrees Celsius × days. Humidity weighting coefficient. Set to 0.8, standard humidity Set to 50%. The cumulative deviation of humidity from the standard value over 180 days, Σ|H(t)-50|, is 800% × days. Rainfall weighting coefficient. Set to 1.0, the cumulative rainfall intensity ΣR(t) over 180 days is 500 mm. Wind speed weighting coefficient. Set to 0.5, standard wind speed Set to 0 meters per second, the cumulative value of wind speed deviation from the standard value Σ|W(t)-0| over 180 days is 3000 (meters / second) × days.

[0145] Calculate the environmental exposure index =4080.

[0146] The equipment lifespan degradation unit is based on the equipment's design lifespan. Given a 10-year lifespan and an environmental sensitivity coefficient k of 0.0002, calculate the remaining lifespan of the equipment. =4.42 years.

[0147] The maintenance trigger unit determines that the equipment's remaining lifespan of 4.42 years is lower than the preset lifespan threshold of 6 years, and generates a predictive maintenance warning. The warning includes: a predicted remaining lifespan of 4.42 years, an estimated failure time of 4 years and 5 months, and recommended maintenance operations such as checking the cooling system for excessive temperature buildup, checking the sealing system for excessive humidity buildup, and checking structural connectors for excessive wind speed buildup. This warning information is pushed to the maintenance personnel's terminal through a transparent presentation module, allowing them to plan maintenance in advance based on the recommendations and avoid downtime losses due to sudden equipment failure.

[0148] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A smart interactive system for new energy charging piles, characterized in that, include: The environmental early warning module is integrated into the charging pile itself. It is used to collect environmental parameters of the environment where the charging pile is located in real time and perform intelligent processing to determine whether to generate an environmental early warning signal. The continuous mapping relationship storage module is pre-stored in the non-volatile memory of the charging pile body. It is used to treat environmental parameters as continuous variables and establish a continuous function mapping relationship between each environmental parameter and the charging efficiency. The dynamic billing module communicates with the environmental early warning module and the continuous mapping relationship storage module. It is used to call the corresponding continuous function mapping relationship based on environmental parameters, calculate the additional energy consumption caused by the environment, and generate a dynamic billing scheme that includes environmental additional costs. The active collaboration module communicates with the environmental early warning module and the dynamic billing module. When an environmental early warning signal is received, it generates an optimization plan and displays the impact of the optimization plan on charging time and cost, which is then automatically executed after the user selects and confirms it. The transparent presentation module communicates and connects with the dynamic billing module and the active collaboration module to transparently present to the user the quantitative impact of environmental parameters on charging efficiency and cost, as well as the cost breakdown details of the dynamic billing scheme. The predictive maintenance module communicates with the environmental early warning module to store historical environmental data, calculate the environmental exposure index, predict the remaining lifespan of the equipment, and issue a predictive maintenance warning when the remaining lifespan of the equipment is lower than a preset lifespan threshold.

2. The intelligent interactive system for new energy charging piles according to claim 1, characterized in that, The environmental early warning module includes: The multi-source sensor array unit, consisting of a temperature sensor, a humidity sensor, a rainfall sensor, and a wind speed sensor, is integrated into the charging pile body and is used to collect environmental parameters. The data preprocessing unit is used to remove outliers and impute missing values ​​in environmental parameters to generate continuous and complete time-series environmental data. An environmental feature extraction unit is used to extract environmental change rate features from time-series environmental data. The environmental change rate features include temperature change rate, humidity change rate, rainfall change rate, and wind speed change rate. The early warning determination unit is used to determine whether the early warning conditions are met based on the time-series environmental parameters and environmental change rate characteristics. When the early warning conditions are met, an environmental early warning signal is generated. The early warning conditions are that any environmental parameter exceeds a preset parameter threshold or any environmental change rate exceeds a preset change rate threshold.

3. The intelligent interactive system for new energy charging piles according to claim 1, characterized in that, The continuous mapping relationship storage module includes: The benchmark efficiency calibration unit is used to calibrate the benchmark charging efficiency of the charging pile through multiple charging tests under the premise that the collected environmental parameters are all under the preset standard environment. The preset standard environment includes a temperature of 20°C to 30°C, a humidity of 40% to 60%, no rainfall, and a wind speed of less than 2m / s. The single-phase attenuation calibration unit is used to calibrate the attenuation relationship between various environmental parameters and charging efficiency through charging tests under the condition that a single environmental parameter changes while other environmental parameters remain fixed within a preset standard range, and generates a temperature attenuation function. Humidity decay function Rainfall attenuation function and wind speed attenuation function ; The coupling attenuation calibration unit is used to calibrate the coupling attenuation relationship of multiple environmental parameters through charging tests under conditions where multiple environmental parameters change simultaneously, and to generate the coupling correction factor λ (T, H, R, W) and the coupling coefficients between each environmental parameter. Based on the coupling correction factor and the individual attenuation functions, the overall charging efficiency is calculated. .

4. The intelligent interactive system for new energy charging piles according to claim 3, characterized in that, In the single-term decay calibration unit, the temperature decay function Humidity decay function Rainfall attenuation function and wind speed attenuation function The expressions include: The temperature decay function The expression is: Where T is the current ambient temperature. To preset the standard ambient temperature, This refers to the maximum permissible operating temperature of the charging station. For temperature sensitivity coefficient, The value range is from 0.5 to 0.9, and when T≤ hour, =1; The humidity decay function The expression is: Where H represents the current ambient humidity. To preset the standard ambient humidity, This is the normalized reference range for humidity. Humidity sensitivity coefficient The value range is from 0.5 to 1.5; The rainfall attenuation function The expression is: Where R represents rainfall intensity. For reference rainfall intensity, The rainfall sensitivity coefficient The value range is from 0.3 to 0.6; The wind speed attenuation function The expression is: Where W represents the current wind speed. To preset the standard ambient wind speed, This refers to the maximum permissible operating wind speed for the charging station. For wind speed sensitivity coefficient, The value range is from 0.2 to 0.5, and when W ≤ hour, =1.

5. The intelligent interactive system for new energy charging piles according to claim 3, characterized in that, In the coupling attenuation calibration unit, the coupling correction factor λ(T, H, R, W) and the overall charging efficiency are... The expressions include: The expression for the coupling correction factor λ(T, H, R, W) is as follows: Where i and j represent the i-th and j-th environmental parameters, respectively. and Let be the individual decay functions corresponding to the i-th and j-th environmental parameters, respectively. Let be the coupling coefficient between the i-th environmental parameter and the j-th environmental parameter, and 0 ≤ 1. ≤1; The overall charging efficiency The expression is: in, The reference charging efficiency is calibrated by the reference efficiency calibration unit.

6. The intelligent interactive system for new energy charging piles according to claim 1, characterized in that, The dynamic billing module includes: The additional energy consumption calculation unit is used to calculate the additional energy consumption caused by the environment based on the collected environmental parameters and by calling the continuous function mapping relationship. The specific formula is as follows: Where ΔE represents the additional energy consumption. This is the charging power under a preset standard environment. For overall charging efficiency, This is the charging start time. This is the charging end time; The environmental surcharge generation unit is used to generate environmental surcharges based on additional energy consumption. The specific formula is as follows: in, Additional costs to the environment, The current electricity price; The dynamic billing scheme generation unit calculates the basic electricity fee based on the charging power, actual charging duration, and current electricity price under a preset standard environment, and combines it with the basic service fee and environmental surcharge to generate a dynamic billing scheme. The specific formula is as follows: in, For dynamic billing schemes, This is the charging power under a preset standard environment. This refers to the actual charging time. At the current electricity price, Basic service fee.

7. The intelligent interactive system for new energy charging piles according to claim 1, characterized in that, The active collaboration module includes: An active triggering unit is used to send a start command to the scheme generation unit when an environmental early warning signal is received; The scheme generation unit is used to generate an optimized scheme based on the environmental change rate characteristics and the dynamic billing scheme when a start command is received. The impact quantification unit is used to calculate the estimated total cost and estimated completion time of each optimization scheme by calling the dynamic billing model, and display them in the form of a comparison list; The automatic execution unit is used to set a delayed charging timer when the user selects a delayed charging scheme, send a power reduction command to the charging pile controller when the user selects a power reduction charging scheme, and send the location of the switched charging pile to the user terminal when the user selects to switch charging pile schemes.

8. The intelligent interactive system for new energy charging piles according to claim 7, characterized in that, In the scheme generation unit, the optimized scheme includes: The delayed charging scheme is used to predict the time required for environmental parameters to recover to a preset standard range based on the change rate characteristics of each environmental parameter. When the total cost of starting after delayed charging for the predicted time is lower than the total cost of immediate charging, a delayed charging scheme is generated. The power reduction charging scheme is used to generate a power reduction charging scheme when the total cost is reduced after reducing the charging power and the increase in charging time is less than a preset time threshold. The charging station switching scheme is used when there is an indoor charging station in the current charging station, and the expected total cost of the indoor charging station is lower than that of the current charging station and the expected arrival time is less than a preset arrival threshold.

9. The intelligent interactive system for new energy charging piles according to claim 1, characterized in that, The transparent presentation module includes: The causal explanation unit is used to show the user the correspondence between environmental parameters and increased costs during the charging process. The correspondence includes the current environmental parameters, the percentage decrease in efficiency caused by the environmental parameters, the additional energy consumption corresponding to the percentage decrease in efficiency, and the additional environmental costs converted from the additional energy consumption. The counterfactual comparison unit is used to show users counterfactual comparison information between the current charging conditions and standard environmental conditions. The counterfactual comparison information includes the expected amount of money saved and the expected reduction in charging time if the environmental parameters are at preset standard values. The cost attribution unit is used to break down the total cost in the dynamic billing scheme into basic electricity cost, basic service cost and environmental surcharge, and further break down the environmental surcharge into the surcharge amount contributed by each environmental parameter. The efficiency impact unit is used to display to the user a comparison of charging efficiency under the current environmental parameters and efficiency under a standard environment. The efficiency comparison information includes the efficiency decrease ratio, the expected extension time, and the contribution ratio of each environmental parameter to the efficiency decrease.

10. The intelligent interactive system for new energy charging piles according to claim 1, characterized in that, The predictive maintenance module includes: The environmental exposure accumulation unit is used to weight and accumulate various environmental parameters to generate an environmental exposure index. The specific formula is as follows: in, The environmental exposure index is T(t), where T(t) is the temperature at time t. Temperature threshold Here, H(t) represents the temperature reference value, and H(t) represents the humidity at time t. Standard humidity, Here is a humidity reference value, and R(t) is the rainfall intensity at time t. Here is a reference value for rainfall intensity, and W(t) is the wind speed at time t. Standard wind speed, This is a reference value for wind speed. , , , The weighting coefficients for temperature, humidity, rainfall, and wind speed are respectively, and satisfy the following conditions: + + + =1; The equipment lifespan degradation unit is used to calculate the remaining lifespan of the equipment based on the environmental exposure index. The specific formula is as follows: in, For the remaining lifespan of the equipment, The design life of the equipment is given by k, and the environmental sensitivity coefficient is given by k. The maintenance triggering unit is used to generate a predictive maintenance warning when the remaining lifespan of the equipment is lower than a preset lifespan threshold. The predictive maintenance warning includes a predicted value of the remaining lifespan of the equipment, an estimated failure time, and suggested maintenance operations.

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