CN118003946A - New forms of energy power consumption information acquisition fills electric pile control system - Google Patents
New forms of energy power consumption information acquisition fills electric pile control system Download PDFInfo
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Abstract
The invention discloses a new energy electricity consumption information acquisition charging pile control system, which relates to the technical field of new energy charging pile control and solves the problem of insufficient overvoltage protection control of charging piles, wherein a charging and charging module carries out composite charging on time and charging power factors of a vehicle battery by adopting a composite charging method, so as to realize accurate charging and charging, a user interface module designs a user charging interface through a Qt interface generating tool and an event processing function and obtains charging mode information selected by a user, convenience is brought to the user, an automatic switching and charging module adopts a time control method and an electric quantity control method to realize automatic charging pile control for the vehicle charging, an overvoltage diagnosis module carries out overvoltage analysis on charging pile charging data by an overvoltage detection model, and an overvoltage protection control module adopts voltage limiting protection measures to process overvoltage phenomena of the charging piles, so that the new energy electricity consumption information acquisition charging pile control capability is greatly improved.
Description
Technical Field
The invention relates to the technical field of new energy charging pile control, in particular to a new energy electricity consumption information acquisition charging pile control system.
Background
The new energy charging pile control system is a software and hardware system for managing and controlling the new energy charging pile, and has the functions of realizing monitoring, management and control of the charging pile, ensuring safe and efficient operation of the charging pile, providing convenient service experience, enabling the new energy charging pile control system to be connected with the Internet or a mobile communication network, constructing a unified charging service platform, enabling a user to complete charging and payment operation by self-service, providing convenient user experience, and providing a wide application prospect due to rapid development of new energy vehicle markets and support of government on clean energy.
In the prior art, a new energy charging pile control system has a plurality of defects, on one hand, the new energy charging pile is inaccurate in charging and charging, so that a plurality of inconveniences are caused in use, the new energy charging pile control system lacks a user interface module and cannot bring convenience to users, on the other hand, the new energy charging pile control system cannot realize time control and electric quantity control at the same time in the aspect of switch control, and cannot discover overvoltage phenomena in time due to the lack of overvoltage detection and overvoltage protection control, so that a vehicle charging battery and a charging pile are damaged.
Disclosure of Invention
Aiming at the defects of the technology, the invention discloses a new energy electricity consumption information acquisition charging pile control system, a real-time clock adopts a network time protocol to obtain accurate time stamps of starting and ending of charging, a charging power acquisition module adopts a charging power calculation function to acquire actual charging power of a vehicle battery, a charging billing module adopts a composite billing method to conduct composite billing on time and charging power factors of the vehicle battery, the problem that a new energy charging pile is inaccurate in charging billing is solved, an interface design module adopts a Qt interface generation tool to design a user charging interface, a click event control processing module obtains charging mode information selected by a user through an event processing function, the problem that the new energy charging pile control system lacks a user interface is solved, an automatic switching charging module adopts a time control method and an electric quantity control method to realize automatic vehicle charging of the charging pile, the problem that the time control and the electric quantity control cannot be simultaneously realized is solved, an overvoltage diagnosis module adopts a stochastic simulation algorithm to conduct model simulation training on a training set to obtain an overvoltage detection model, the overvoltage detection model analyzes charging pile charging data through an overvoltage marking, and an overvoltage protection control module adopts a voltage limiting protection measure to process the overvoltage phenomenon of the charging pile, and the overvoltage protection control problem is solved.
The invention adopts the following technical scheme:
The new energy electricity consumption information acquisition charging pile control system comprises an energy conversion storage module, a charging module, an electricity consumption information acquisition module, a communication module, a charging module, a safety protection control module and a user interface module;
the energy conversion and storage module converts solar energy into electric energy by adopting a solar panel, and stores the electric energy through a rechargeable battery;
the charging module converts alternating current into direct current required by a vehicle through an alternating current-direct current converter;
The electricity consumption information acquisition module adopts a voltage sensor, a Hall effect sensor and a thermal diode to detect charging data of the charging pile, the charging data of the charging pile at least comprises charging voltage, charging current and rated temperature of a charging battery, and the electricity consumption information acquisition module adopts a data centralized acquisition circuit to perform distributed centralized acquisition on the charging data of the charging pile;
the communication module adopts a wireless network to carry out data transmission;
The charging module generates charging consumption cost according to charging time length and power consumption by adopting a microprocessor, the microprocessor comprises a charging time acquisition module, a charging power acquisition module and a charging module, and the output end of the charging time acquisition module and the input end of the charging power acquisition module are connected with the input end of the charging module;
The safety protection control module adopts a programmable controller to realize the switch control and the overvoltage protection of the charging pile, the programmable controller comprises an automatic switch charging module, an overvoltage diagnosis module and an overvoltage protection control module, and the output end of the overvoltage diagnosis module is connected with the input end of the overvoltage protection control module;
The user interface module selects a charging mode and finishes payment through a touch screen, the touch screen comprises an interface design module and a click event control module, and the output end of the interface design module is connected with the input end of the click event control module;
The output end of the solar cell panel is connected with the input end of the energy storage module, the output end of the electricity consumption information acquisition module is connected with the input end of the communication module, the output end of the communication module is respectively connected with the input end of the charging module and the input end of the safety protection control module, the output end of the user interface module is connected with the input end of the safety protection control module, and the output end of the safety protection control module and the output end of the energy storage module are connected with the input end of the charging module.
As a further technical scheme of the invention, the data centralized acquisition circuit adopts a time division multiplexing shunt bus structure to set at least three paths of analog acquisition channels, the three paths of analog acquisition channels respectively acquire charging voltages, charging currents and chargeable battery temperatures detected by a voltage sensor, a Hall effect sensor and a thermal diode, the time division multiplexing shunt bus structure adopts a time-shifting network protocol to realize that the three paths of analog acquisition channels acquire different charging pile charging data without mutual interference in the same sampling period, the data centralized acquisition circuit converges at least three paths of charging pile charging data onto one path of data output channel through a shunt converging conversion mechanism to form unified output charging pile charging data, the shunt converging conversion mechanism switches the three paths of charging pile charging data through a converter through a multi-way switch switching protocol, and the multi-way switch switching protocol converges the three paths of charging pile charging data after switching together through weighted average inductive coupling to form unified output charging pile charging data.
As a further technical scheme of the invention, the charging time acquisition module records the time stamps of the start and end of charging through a real-time clock, the real-time clock adopts a network time protocol to obtain accurate time stamps of the start and end of charging, the charging power acquisition module analyzes the charging process of the vehicle through an equivalent circuit model, the equivalent circuit model realizes quantitative analysis of the charging energy loss of the vehicle battery according to a resistive element, the charging power acquisition module adopts a charging power calculation function to acquire the actual charging power of the vehicle battery, and the formula of the charging power calculation function is as follows:
（1）
in the case of the formula (1), Actual charging power for vehicle battery,/>For charging voltage,/>For charging current,/>For the resistance value of the charging pile resistor,/>For the subscript of the resistance value of the charging pile resistor,/>Is the fault voltage limiter resistance value, 2 is the fault voltage limiter resistance value subscript,/>The resistance value of the rectifier diode in the AC/DC converter is 3 is the subscript of the resistance value of the rectifier diode in the AC/DC converter,/>The resistor value of the voltage-stabilizing diode in the AC/DC converter is shown as a subscript of the resistor value of the voltage-stabilizing diode in the AC/DC converter.
As a further technical scheme of the invention, the charging and billing module adopts a composite billing method to perform composite billing on time and charging power factors of a vehicle battery, the composite billing method sets a charging rate according to a charging period, the composite billing method integrates the charging power of the vehicle battery in a time stamp of starting and ending charging through a time integration algorithm to obtain the total output electric quantity of the charging pile, the charging and billing is the product of the total output electric quantity of the charging pile and the set charging rate, and a calculation formula of the time integration algorithm is as follows:
（2）
In the formula (2) of the present invention, Output total electric quantity for charging pile,/>For the time stamp of the start of charging,/>For the time stamp subscript of charge start,/>For the timestamp of the end,/>For ending timestamp subscript,/>Charging efficiency for charging pile,/>Is the total resistance of the vehicle charger.
As a further embodiment of the invention, the automatic switch charging module adopts a time control method and an electric quantity control method to realize automatic control of vehicle charging of the charging pile, the time control method adopts a priority scheduling algorithm to realize time charging control instruction output, the priority scheduling algorithm determines that the set charging time is the highest priority through dynamic priority, the priority scheduling algorithm generates the time charging control instruction according to the highest priority, the programmable controller terminates the vehicle charging through the time charging control instruction, the electric quantity control method adopts an intelligent scheduling algorithm to realize automatic full charge and off of the vehicle, the intelligent scheduling algorithm judges the full state of the vehicle through network load balance, and the programmable controller terminates the vehicle charging according to the full state of the vehicle.
As a further embodiment of the present invention, the working method of the overvoltage diagnosis module is as follows:
Firstly, eliminating dimension differences among charging pile charging data by adopting data calibration standardization, wherein the data calibration standardization scales the charging pile charging data to be within a range of [0,1] by adopting linear scaling, and the overvoltage diagnosis module divides the scaled charging pile charging data into a training set and a testing set by data division;
Secondly, performing model simulation training on the training set by adopting a randomness simulation algorithm to obtain an overvoltage detection model, wherein the randomness simulation algorithm evaluates the performance of the overvoltage detection model through cross validation, the overvoltage detection model is tested according to the test set, the overvoltage detection model realizes structural optimization through Bayesian optimization, the Bayesian optimization adopts a fitting objective function to iteratively calculate the maximized structural strength of the overvoltage detection model, and the maximized structural strength of the overvoltage detection model has a calculation formula:
（3）
In the formula (3) of the present invention, Maximizing structural strength for overpressure detection models,/>For the maximum voltage threshold of the charging pile,/>For the initial structural strength value of the overvoltage detection model,/>Error rate of fitting for fitting objective function,/>The iteration number is optimized for Bayes;
And thirdly, performing overvoltage analysis on charging pile charging data through an overvoltage marking by the overvoltage detection model, and performing overvoltage detection on the charging pile charging data through an overvoltage threshold value to realize overvoltage diagnosis of the charging pile.
As a further embodiment of the present invention, the overvoltage protection control module adopts a voltage limiting protection measure to treat the overvoltage phenomenon of the charging pile, the voltage limiting protection measure adopts an energy flow inhibition efficiency objective function to optimize the voltage limiting voltage value of the fault voltage limiter, the energy flow inhibition efficiency objective function obtains an optimal voltage limiting strategy of the fault voltage limiter through secondary constraint optimization, and the fault current limiter reduces the charging voltage of the charging pile according to the optimal voltage limiting strategy.
As a further embodiment of the invention, the interface design module designs a user charging interface by adopting a Qt interface generation tool, the Qt interface generation tool sets a charging mode selection button to realize charging mode selection, and the charging mode selection button comprises automatic filling and charging time self-definition.
As a further embodiment of the present invention, the click event control module obtains charging mode information selected by a user through an event processing function, the event processing function analyzes and processes the charging mode information selected by the user through a method using an event object, the event processing function outputs the analyzed and processed charging mode information to a programmable controller through a wireless network communication protocol, and the programmable controller selects a time control method and an electric quantity control method through the analyzed and processed charging mode information.
The invention has positive and beneficial effects different from the prior art:
The invention discloses a new energy electricity consumption information acquisition charging pile control system, a real-time clock adopts a network time protocol to obtain accurate time stamps for starting and ending charging, a charging power acquisition module adopts a charging power calculation function to acquire actual charging power of a vehicle battery, a charging and charging module adopts a composite charging method to conduct composite charging on time and charging power factors of the vehicle battery, accurate charging and charging are achieved, an interface design module adopts a Qt interface generation tool to design a user charging interface, a click event control processing module obtains charging mode information selected by a user through an event processing function, convenience is brought to the user, an automatic switching and charging module adopts a time control method and an electric quantity control method to realize automatic control of vehicle charging of a charging pile, time control and electric quantity control are achieved, an overvoltage diagnosis module adopts a random simulation algorithm to conduct model simulation training on a training set to obtain an overvoltage detection model, the overvoltage detection model conducts overvoltage analysis on charging data of the charging pile, and an overvoltage protection control module adopts voltage limiting protection measures to process charging pile overvoltage phenomena, and overvoltage detection and overvoltage protection control are achieved.
Drawings
For a clearer description of an embodiment of the invention or of a technical solution in the prior art, the drawings that are necessary for the description of the embodiment or of the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, from which, without inventive faculty, other drawings are obtained for a person skilled in the art, in which:
FIG. 1 is a schematic diagram of the whole architecture of a new energy electricity consumption information acquisition charging pile control system;
FIG. 2 is a flow chart of the operation of the overvoltage diagnostic module used in the present invention;
fig. 3 is a schematic diagram of a billing module structure used in the present invention;
FIG. 4 is a schematic diagram of a safety protection module according to the present invention;
FIG. 5 is a schematic diagram of a UI module according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
1-5, The new energy electricity consumption information acquisition and charging pile control system comprises an energy conversion storage module, a charging module, an electricity consumption information acquisition module, a communication module, a charging module, a safety protection control module and a user interface module;
the energy conversion and storage module converts solar energy into electric energy by adopting a solar panel, and stores the electric energy through a rechargeable battery;
the charging module converts alternating current into direct current required by a vehicle through an alternating current-direct current converter;
The electricity consumption information acquisition module adopts a voltage sensor, a Hall effect sensor and a thermal diode to detect charging data of the charging pile, the charging data of the charging pile at least comprises charging voltage, charging current and rated temperature of a charging battery, and the electricity consumption information acquisition module adopts a data centralized acquisition circuit to perform distributed centralized acquisition on the charging data of the charging pile;
the communication module adopts a wireless network to carry out data transmission;
The charging module generates charging consumption cost according to charging time length and power consumption by adopting a microprocessor, the microprocessor comprises a charging time acquisition module, a charging power acquisition module and a charging module, and the output end of the charging time acquisition module and the input end of the charging power acquisition module are connected with the input end of the charging module;
The safety protection control module adopts a programmable controller to realize the switch control and the overvoltage protection of the charging pile, the programmable controller comprises an automatic switch charging module, an overvoltage diagnosis module and an overvoltage protection control module, and the output end of the overvoltage diagnosis module is connected with the input end of the overvoltage protection control module;
The user interface module selects a charging mode and finishes payment through a touch screen, the touch screen comprises an interface design module and a click event control module, and the output end of the interface design module is connected with the input end of the click event control module;
The output end of the solar cell panel is connected with the input end of the energy storage module, the output end of the electricity consumption information acquisition module is connected with the input end of the communication module, the output end of the communication module is respectively connected with the input end of the charging module and the input end of the safety protection control module, the output end of the user interface module is connected with the input end of the safety protection control module, and the output end of the safety protection control module and the output end of the energy storage module are connected with the input end of the charging module.
In a further embodiment, the data centralized acquisition circuit adopts a time division multiplexing shunt bus structure to set at least three paths of analog acquisition channels, the three paths of analog acquisition channels respectively acquire the charging voltage, the charging current and the temperature of the rechargeable battery detected by the voltage sensor, the Hall effect sensor and the thermal diode, the time division multiplexing shunt bus structure adopts a time-shifting network protocol to realize that the three paths of analog acquisition channels acquire different charging pile charging data without mutual interference in the same sampling period, the data centralized acquisition circuit converges the at least three paths of charging pile charging data onto one path of data output channel through a shunt convergence conversion mechanism to form unified output charging pile charging data, the shunt convergence conversion mechanism switches the three paths of charging pile charging data through a converter through a multi-way switch switching protocol, and the multi-way switch switching protocol converges the three paths of charging pile charging data after switching together through weighted average inductive coupling to form unified output charging pile charging data.
In a specific embodiment, a solar panel is a device that converts solar energy into electrical energy using the photoelectric effect. The working principle is as follows: 1. photoelectric effect: the photoelectric effect is a phenomenon that when light irradiates to the surface of certain substances, free electrons in the substances are excited and transition into conduction bands to form current; 2. semiconductor material: solar panels typically employ semiconductor materials, such as silicon (Si) or cadmium selenide (CdTe), which have a specific band structure in which a forbidden band exists between the conduction and valence bands; 2. P-N structure: the solar panel generally consists of a P-type semiconductor and an N-type semiconductor, wherein a small amount of trivalent elements (such as boron) are doped in the P-type semiconductor to form positive holes; the N-type semiconductor is doped with a small amount of pentavalent elements (such as phosphorus) to form a negative carrier; 3. light absorption and charge separation: when sunlight irradiates on the P-N structure, photons excite carriers in the P-type region and the N-type region, and when photon energy is large enough in a forbidden band width, an electron-hole pair is generated, and because of a built-in electric field of the P-N structure, electrons move to the N-type semiconductor, holes move to the P-type semiconductor, so that current is generated; 4. current output: solar panels output light-converted electrical energy as direct current by connecting the P-N structure to an external circuit, and metal wire grids are typically mounted on the solar panels to collect and transmit the generated current.
The principle of the ac-dc converter is that the input ac power is converted into the required dc power by the zener diode and the rectifier diode, the voltage value and frequency of the ac power are usually not fixed, and the dc voltage and current required by the vehicle are stable, so that the following steps are required to convert the ac power into the dc power required by the vehicle; 1. rectifying: converting the alternating current into half-wave or full-wave direct current by using a rectifier diode; 2. and (3) filtering: the original waveform is smoothed by using elements such as a capacitor, an inductor and the like, and the process is called filtering, and the main purpose of the smoothing method is to eliminate alternating current fluctuation and make a direct current waveform more stable; 3. voltage regulation/stabilization: a zener diode is used to regulate or stabilize the voltage to keep the voltage as much as possible within a desired range. The conversion principle from alternating current to direct current is to rectify and filter the input alternating current before converting the input alternating current into direct current, and the direct current is finally obtained through the steps of voltage regulation/voltage stabilization, current control and the like.
In a further embodiment, the automatically switched charging module is an electronic device capable of automatically controlling the charging process based on the state of the battery. Such modules typically include a battery charge management IC that serves multiple functions to ensure battery safety and extend the useful life of the battery. The automatic switch charging module can monitor parameters such as voltage, current and temperature of the battery so as to judge the health condition and the charging requirement of the battery.
Depending on the state of the battery, the module controls the charger's switch to regulate the charging current and voltage. For example, when the battery is full, the module may automatically stop charging to prevent overcharging. When the voltage of the battery exceeds a preset safety value, the module can automatically disconnect the charging circuit to prevent the battery from being damaged. When the battery voltage is below a certain level, the module stops discharging to prevent performance degradation caused by overdischarge of the battery. The module has a short circuit detection function, and once a short circuit condition is detected, the power supply is immediately cut off so as to protect the battery and the charging equipment from damage. The module may automatically turn on or off the charging function according to a charging mode set by a user or an adaptive state of the battery. During charging, the module monitors the temperature of the battery and if the temperature is too high, reduces or stops the charging current to prevent the battery from overheating. The automatic switch charging module is usually designed as a universal type and can adapt to batteries of different brands and models. The design of the module aims at improving energy efficiency, reducing unnecessary energy consumption and meeting the requirements of energy conservation and emission reduction.
In a further embodiment, the charging time obtaining module records time stamps of starting and ending of charging through a real-time clock, the real-time clock obtains accurate time stamps of starting and ending of charging through a network time protocol, the charging power obtaining module analyzes a vehicle charging process through an equivalent circuit model, the equivalent circuit model achieves quantitative analysis of charging energy loss of a vehicle battery according to a resistive element, and the charging power obtaining module obtains actual charging power of the vehicle battery through a charging power calculation function. The formula of the charging power calculation function is as follows:
（1）
in the case of the formula (1), Actual charging power for vehicle battery,/>For charging voltage,/>For charging current,/>For the resistance value of the charging pile resistor,/>For the subscript of the resistance value of the charging pile resistor,/>Is the fault voltage limiter resistance value, 2 is the fault voltage limiter resistance value subscript,/>The resistance value of the rectifier diode in the AC/DC converter is 3 is the subscript of the resistance value of the rectifier diode in the AC/DC converter,/>The resistor value of the voltage-stabilizing diode in the AC/DC converter is shown as a subscript of the resistor value of the voltage-stabilizing diode in the AC/DC converter. The charging power can be calculated from the charging parameters of the charger and the capacity and voltage of the battery. The original sources of the calculation formula of the charging power are as follows: charging power = charging voltage x charging current. And finally, performing power factor correction: in the charging power calculation process, there may be an influence of the power factor. Therefore, it is necessary to perform power factor correction on the charging power to ensure accuracy of the calculation result. In the process of calculating the charging power, other factors, such as temperature and voltage change, need to be considered to ensure the accuracy of the calculation result.
In a further embodiment, the charge time acquisition module is a system or component for determining the time required for charging a battery or device. This module may be integrated in a charger, a Battery Management System (BMS), or separate charge management software. In a further embodiment, the module monitors the charge rate of the battery, which may be accomplished by detecting the charge current and voltage. From this data, the module can calculate the time required for the battery to fill. During specific operation, the module can identify the current state of charge of the battery, such as the percentage of charge remaining, through a Battery Management System (BMS) or a built-in battery state detection circuit.
The module records the battery charging history data including the charging time, the number of charging times and key parameters in the charging process. These data may be used to optimize the charging strategy and predict future charging demands.
In a specific operation, the module may select the most suitable charging mode, such as fast charging, normal charging or slow charging, according to the type, temperature and current state of the battery. The module of the present invention may include a user interface that allows the user to view the remaining charge time, charge schedule, and other relevant information. In particular applications, the module may contain a communication interface, such as a USB, bluetooth, wi-Fi, or cellular network connection, to share charging data with external devices or cloud services.
During specific operation, the present invention may use intelligent algorithms to predict the charge time, which may take into account factors such as battery aging, ambient temperature, and charger efficiency. In an embodiment, the charging time acquisition module may adjust the charging policy according to the real-time battery performance and the charger state to optimize the charging time, and the embodiment also includes overcharge, overdischarge, overheat and short-circuit protection functions to ensure the safety of the charging process.
In a specific application, it is first necessary to obtain charging parameters of the charger, including charging voltage, charging current, charging power, and the like. These parameters may be obtained by identification on the charger or by measurement using corresponding test instruments. In order to calculate the charging power, it is also necessary to acquire the capacity and voltage of the battery. The battery capacity is typically identified on the battery, and the battery voltage is measured. In a specific embodiment, the real-time clock may obtain accurate time stamps via a network time protocol (Network Time Protocol, NTP), which is a protocol for synchronizing the computer system clock, to determine the time at which charging starts and ends, and obtain accurate time information by communicating with a time server, the following are steps to achieve accurate charging start and end time stamps: 1. connected to a wireless network: the real-time clock needs to be connected to a wireless network to acquire network time; 2. configuring an NTP client: configuring NTP client software on a real-time clock, wherein the software can communicate with an NTP server and acquire accurate time information, and selecting proper NTP client software according to specific conditions, such as ntpdate, chrony commonly used in a Linux system; 3. setting an NTP server: designating a reliable and accurate NTP server as a time source, public NTP servers, such as time google. Com, pool. NTP. Org, etc., may be selected, or private NTP servers may be used; 4. synchronization time: starting NTP client software and communicating with a designated NTP server, acquiring current accurate time information from the server, and synchronizing the current accurate time information to a real-time clock; 5. acquiring charging start and end time stamps: and respectively reading the synchronized time information on the real-time clock before and after the start and the end of the charging process at the place where the start and the end of the charging are required to be recorded, so that an accurate time stamp can be obtained.
The actual charging power may be affected by the resistive element, and these factors should be considered as much as possible to obtain more accurate results when calculating, and the charging power calculation function can accurately obtain the actual charging power of the vehicle battery, where the actual charging power calculation result of the vehicle battery is shown in table 1:
table 1 statistical table of actual charge power of vehicle battery
As shown in table 1, four test groups are set, and two methods are adopted to calculate the charging power of the vehicle battery, method 1 directly calculates the charging power of the vehicle battery through the product of the charging voltage and the charging current, method 2 obtains the actual charging power of the vehicle battery for the charging power calculation function, and the error of method 1 is larger than that of method 2, so that the charging power calculation function of the invention has outstanding technical effects.
In a further embodiment, the charging and billing module performs composite billing on time and charging power factors of the vehicle battery by adopting a composite billing method, the composite billing method sets a charging rate according to a charging period, the composite billing method integrates the charging power of the vehicle battery in a time stamp of starting and ending charging by a time integration algorithm to obtain the output total electric quantity of the charging pile, the charging and billing is the product of the output total electric quantity of the charging pile and the set charging rate, and a calculation formula of the time integration algorithm is as follows:
（2）
In the formula (2) of the present invention, Output total electric quantity for charging pile,/>For the time stamp of the start of charging,/>For the time stamp subscript of charge start,/>For the timestamp of the end,/>For ending timestamp subscript,/>Charging efficiency for charging pile,/>Is the total resistance of the vehicle charger.
In a specific embodiment, the composite charging method is a method for carrying out composite charging on time and charging power factors of a vehicle battery, and can flexibly adjust charging price according to fluctuation of the charging power of the vehicle battery and load conditions of a power grid, and can provide sufficient power for the vehicle in a time as short as possible, 1. Energy waste can be reduced: when the power grid load is higher, the charging price is higher, and a user can be encouraged to charge when the power grid load is lower, so that energy waste is reduced; 2. the charging cost can be reduced: when the power grid load is low, the charging price is relatively low, and a user can more flexibly select the charging time, so that the charging cost is reduced; 3. the charging efficiency can be improved: according to the charging characteristics of the composite charging method, sufficient electric power can be provided for the vehicle in a possibly short time, and the charging efficiency is improved; 4. the power grid can be better protected: the pressure is caused to the power grid by carrying out a large amount of charging behaviors in the peak period, and the charging behaviors in the peak period can be reduced by the composite charging method, so that the power grid is better protected; in a word, the composite charging method carries out composite charging on time and charging power factors of the vehicle battery, so that the energy utilization efficiency can be improved, the charging cost can be reduced, the charging efficiency can be improved, and the power grid can be better protected, so that the method has wide application prospect and economic benefit. The charging billing module is a key component in an electric vehicle charging station or charging post, which is responsible for managing and calculating charging service charges. This module is typically integrated with a communication interface, a computing unit, a storage device and the necessary input/output interfaces. In a further embodiment, the charging billing module is capable of calculating the charging rate based on the charge amount and a preset rate. This may include time-based charging, charge-based charging, or a combination of both charging modes. In its hardware configuration, the charging and billing module is usually equipped with a communication interface, such as ethernet, wireless network, bluetooth or USB, for data exchange with the management system of the charging station or the payment system of the user. In still a further embodiment, the charging and billing module has a storage function for storing transaction records, charging history, rate information, and other data. In some charging stations, the billing module may include a user interface, such as a touch screen or buttons, that allow the user to view charge fees, begin and end charging sessions. The charging billing module may include payment processing functions such as accepting payment from a credit card, debit card, mobile payment, or prepaid card. The charging billing module supports a remote management function, enabling an operator to remotely monitor the operating status of the charging station, update rates, and manage system settings. The charging billing module typically includes security measures, such as encryption and authentication mechanisms, to secure transaction data and user payment information. The billing module may be capable of adjusting billing policies and providing customized charging services according to different charging station types and user requirements. The charging billing module may be integrated with other parts of the charging station, such as a charging controller, a Battery Management System (BMS), a monitoring system, and the like, to provide an integrated charging solution.
In a further embodiment, the calculation formula of the time integration algorithm is i= ≡ (f (x) dx), where I represents the integration result, f (x) represents the integrand, and x represents the argument. In the calculation process, an integration interval is firstly determined, and the integration interval, namely the value range of the independent variable x, is firstly required to be determined. For example, if the value of the integral i= ≡ (f (x) dx) over the interval [ a, b ] is to be solved, the values of a and b need to be determined. Then determining the original function of the integrated function: next, the original function of the integrand f (x) needs to be determined. The primitive function refers to a function which is mutually a primitive function with F (x), namely, a function F (x) satisfying the following condition: f' (x) =f (x), for example, for a multiplicative function F (x) =x ζ2, the primitive function is F (x) =x ζ3/3. And finally, performing integral operation: substituting the primitive function F (x) into the integral formula i= ≡ (F (x) dx) yields: i= ≡ (x ζ2 dx) =x ζ3/3), and finally analyzing and calculating the integration result, substituting the integration interval [ a, b ] into the integration formula to obtain the integration result: i= ≡ [ a, b ] (x≡2 dx) = (b≡3-a≡3)/3
Therefore, the calculation process of the time integration algorithm comprises the steps of determining an integration interval, determining an original function of the integrated function, performing an integration operation, calculating an integration result and the like. In the above exemplary scenario, the user satisfaction degree of the composite charging method is shown in table 2:
Table 2 user satisfaction with composite billing method
Four test groups are set, the number of objects in each group is the same, charging and charging are carried out by adopting two methods, the method 3 is to charge by outputting the total electric quantity through a charging pile, the method 4 is to charge by adopting the total electric quantity output by the charging pile and setting charging rate, as shown in the table 2, the user satisfaction is the ratio of the number of user satisfaction to the number of objects, the user satisfaction of the method 3 and the method 4 is obviously different, the accuracy of the method 4 is obviously higher than that of the method 3, and the method 4 has outstanding technical effects of knowing that the total electric quantity output by the charging pile is charged by setting charging rate.
In a further embodiment, the automatic switch charging module adopts a time control method and an electric quantity control method to realize automatic control of vehicle charging of the charging pile, the time control method adopts a priority scheduling algorithm to realize time charging control instruction output, the priority scheduling algorithm determines that the set charging time is the highest priority through dynamic priority, the priority scheduling algorithm generates the time charging control instruction according to the highest priority, the programmable controller terminates the vehicle charging through the time charging control instruction, the electric quantity control method adopts an intelligent scheduling algorithm to realize automatic full charge and off of the vehicle, the intelligent scheduling algorithm judges the full state of the vehicle through network load balance, and the programmable controller terminates the vehicle charging according to the full state of the vehicle.
In a further embodiment, the working method of the overvoltage diagnosis module is as follows:
Firstly, eliminating dimension differences among charging pile charging data by adopting data calibration standardization, wherein the data calibration standardization scales the charging pile charging data to be within a range of [0,1] by adopting linear scaling, and the overvoltage diagnosis module divides the scaled charging pile charging data into a training set and a testing set by data division;
Secondly, performing model simulation training on the training set by adopting a randomness simulation algorithm to obtain an overvoltage detection model, wherein the randomness simulation algorithm evaluates the performance of the overvoltage detection model through cross validation, the overvoltage detection model is tested according to the test set, the overvoltage detection model realizes structural optimization through Bayesian optimization, the Bayesian optimization adopts a fitting objective function to iteratively calculate the maximized structural strength of the overvoltage detection model, and the maximized structural strength of the overvoltage detection model has a calculation formula:
（3）
In the formula (3) of the present invention, Maximizing structural strength for overpressure detection models,/>For the maximum voltage threshold of the charging pile,/>For the initial structural strength value of the overvoltage detection model,/>Error rate of fitting for fitting objective function,/>The iteration number is optimized for Bayes;
And thirdly, performing overvoltage analysis on charging pile charging data through an overvoltage marking by the overvoltage detection model, and performing overvoltage detection on the charging pile charging data through an overvoltage threshold value to realize overvoltage diagnosis of the charging pile.
In a specific embodiment, the Bayesian optimization is an optimization method based on the Bayesian theorem, which is implemented by randomly exploring the parameter space of the objective function, then using the previous results to guide the next exploration, and finally finding the minimum value or the maximum value, and in terms of maximizing the structural strength of the overvoltage detection model, the Bayesian optimization can be implemented by the following steps: the fitting objective function is a mapping between the input and the output of the model, for example, the input of the model is a structural parameter of the charging pile, the output is structural strength, and the fitting objective function has certain smoothness, so that the fitting objective function can be optimized by using methods such as gradient and the like; 2. initializing an overpressure detection model: firstly, an overvoltage detection model is established for the input and the output of a fitting objective function, the model uses priori knowledge and marking data to learn probability distribution between the input and the output, and then the distribution is used for subsequent optimization searching; 3. selecting the next input point: generating a next input point by using the overvoltage detection model, wherein the generated input point is a point which is not yet explored and has the largest possible objective function value in the fitting objective function; 4. evaluating a fitting objective function: for the newly generated input points, evaluating the fitting objective function and updating the overvoltage detection model, wherein the updated overvoltage detection model reflects the relationship between the currently known input and output and is used for generating the next input point; 5. and repeating the steps 3 and 4 until the stopping condition is reached, for example, the search wheel number can be set or the limit time of fitting the objective function can be estimated, and in a word, the structural strength of the charging pile overvoltage detection model can be maximized through Bayesian optimization and objective function iterative computation, so that the charging pile overvoltage detection model has better performance and diagnosis of the charging pile overvoltage accuracy. Statistical table of the maximum structural strength calculation results of the overpressure detection model is shown in table 3:
table 3 statistical table of maximized structural strength calculations for overpressure test models
As shown in table 3, four test groups are set, two methods are adopted to calculate the maximized structural strength of the overvoltage detection model, the method 5 randomly generates a large amount of input data through a random search method, then the maximized structural strength of the overvoltage detection model is screened out according to the output data, the method 6 iteratively calculates the maximized structural strength of the overvoltage detection model through fitting an objective function, the error of the method 5 is larger than that of the method 6, and the iterative calculation of the maximized structural strength of the overvoltage detection model through fitting the objective function has outstanding technical effects.
In a further embodiment, the overvoltage protection control module adopts a voltage limiting protection measure to treat the overvoltage phenomenon of the charging pile, the voltage limiting protection measure adopts an energy flow inhibition efficiency objective function to optimize the voltage limiting voltage value of the fault voltage limiter, the energy flow inhibition efficiency objective function obtains an optimal voltage limiting strategy of the fault voltage limiter through secondary constraint optimization, and the fault current limiter reduces the charging voltage of the charging pile according to the optimal voltage limiting strategy.
In a further embodiment, the interface design module designs the user charging interface by adopting a Qt interface generation tool, and the Qt interface generation tool sets a charging mode selection button to realize charging mode selection, wherein the charging mode selection button comprises automatic filling and charging time customization.
In a further embodiment, the click event control module obtains charging mode information selected by the user through an event processing function, the event processing function analyzes and processes the charging mode information selected by the user through a method using an event object, the event processing function outputs the analyzed and processed charging mode information to a programmable controller through a wireless network communication protocol, and the programmable controller selects a time control method and an electric quantity control method through the analyzed and processed charging mode information.
In particular embodiments, the wireless network communication protocol is a standardized rule and convention used in wireless network communications, which specifies details of data formats, data transmission rates, error handling, flow control, data encryption and decryption, etc. in wireless data communications, so that wireless network devices (e.g., wiFi routers, mobile phones, sensors, etc.) can communicate using the same protocol to achieve interoperability and interworking, and the wireless network communication protocol plays a vital role in wireless networks, which enables various wireless devices to communicate with each other in wireless networks, thereby achieving real-time communication and data exchange between people and machines, machines and machines.
A programmable controller (Programmable Logic Controller, PLC) is a digital electronic computer that is used to control industrial processes, robots, mechanical movements, or other automated systems. The PLC is mainly used for receiving input signals, logically processing and controlling output signals, and realizing accurate control of an automatic process.
The principle of the PLC is as follows: the PLC takes a group of logic circuits or singlechip chips as a control core, and provides input and output signals and a data storage space for an external interface on the basis. By receiving inputs from the sensor ports, the PLC responds to the inputs, runs a logic program, and then sends instructions to the actuator through the output ports, thereby achieving precise control, and specifically, the principles of the PLC include the following: 1. an input module: device signals of various different communication protocols, such as a switch, a sensor and the like, are converted into signals accepted by the PLC through an input module, and the input signals are converted into digital signals and stored in a memory of the PLC; 2. and an output module: after logic processing, the PLC sends the associated control signals to an actuator, such as a relay, a motor and the like, through an output module; 3. central Processing Unit (CPU): the CPU is a core part of the PLC and is provided with a control program for processing input signals, and the computer can respond to the input signals and determine output signals through functional modules based on logic, timing, counting and the like; 4. program memory: program memory is a memory used for storing program code, instructions, and data, which when programmed by a programmer writes the program code to the program memory of a computer so that the computer can perform certain functions and tasks. In general, a programmable controller performs computation by reading input signals and executing logic programs, controls output signals, and controls an automation process, and includes components such as an input module, an output module, a CPU, a program memory, and the like, and the principle is based on digital circuit technology and computer technology.
While specific embodiments of the present invention have been described above, it will be understood by those skilled in the art that these specific embodiments are by way of example only, and that various omissions, substitutions, and changes in the form and details of the methods and systems described above may be made by those skilled in the art without departing from the spirit and scope of the invention. For example, it is within the scope of the present invention to combine the above-described method steps to perform substantially the same function in substantially the same way to achieve substantially the same result. Accordingly, the scope of the invention is limited only by the following claims.
Claims (9)
1. New forms of energy power consumption electricity consumption gathers fills electric pile control system, its characterized in that: the new energy charging pile control system comprises an energy conversion storage module, a charging module, an electricity consumption information acquisition module, a communication module, a charging module, a safety protection control module and a user interface module:
the energy conversion and storage module converts solar energy into electric energy by adopting a solar panel, and stores the electric energy through a rechargeable battery;
the charging module converts alternating current into direct current required by a vehicle through an alternating current-direct current converter;
The electricity consumption information acquisition module adopts a voltage sensor, a Hall effect sensor and a thermal diode to detect charging data of the charging pile, the charging data of the charging pile at least comprises charging voltage, charging current and rated temperature of a charging battery, and the electricity consumption information acquisition module adopts a data centralized acquisition circuit to perform distributed centralized acquisition on the charging data of the charging pile;
the communication module adopts a wireless network to carry out data transmission;
The charging module generates charging consumption cost according to charging time length and power consumption by adopting a microprocessor, the microprocessor comprises a charging time acquisition module, a charging power acquisition module and a charging module, and the output end of the charging time acquisition module and the input end of the charging power acquisition module are connected with the input end of the charging module;
The safety protection control module adopts a programmable controller to realize the switch control and the overvoltage protection of the charging pile, the programmable controller comprises an automatic switch charging module, an overvoltage diagnosis module and an overvoltage protection control module, and the output end of the overvoltage diagnosis module is connected with the input end of the overvoltage protection control module;
The user interface module selects a charging mode and finishes payment through a touch screen, the touch screen comprises an interface design module and a click event control module, and the output end of the interface design module is connected with the input end of the click event control module;
the output end of the solar cell panel is connected with the input end of the energy storage module, the output end of the electricity consumption information acquisition module is connected with the input end of the communication module, the output end of the communication module is respectively connected with the input end of the charging module and the input end of the safety protection control module, the output end of the user interface module is connected with the input end of the safety protection control module, and the output end of the safety protection control module and the output end of the energy storage module are connected with the input end of the charging module.
2. The new energy electricity consumption information acquisition charging pile control system according to claim 1, wherein: the data centralized acquisition circuit adopts a time division multiplexing shunt bus structure to set at least three paths of analog acquisition channels, the three paths of analog acquisition channels respectively acquire charging voltages, charging currents and chargeable battery temperatures detected by a voltage sensor, a Hall effect sensor and a thermal diode, the time division multiplexing shunt bus structure adopts a time-shifting network protocol to realize that the three paths of analog acquisition channels acquire different charging pile charging data in the same sampling period without mutual interference, the data centralized acquisition circuit converges the three paths of charging pile charging data onto one path of data output channel through a shunt convergence conversion mechanism to form unified output charging pile charging data, the shunt convergence conversion mechanism switches the three paths of charging pile charging data through a converter through a multi-way switch switching protocol, and the multi-way switch switching protocol converges the three paths of charging pile charging data after switching together through weighted average inductive coupling to form unified output charging pile charging data.
3. The new energy electricity consumption information acquisition charging pile control system according to claim 1, wherein: the charging time acquisition module records time stamps of starting and ending of charging through a real-time clock, the real-time clock obtains accurate time stamps of starting and ending of charging through a network time protocol, the charging power acquisition module analyzes a vehicle charging process through an equivalent circuit model, the equivalent circuit model realizes quantitative analysis of charging energy loss of a vehicle battery according to a resistive element, the charging power acquisition module obtains actual charging power of the vehicle battery through a charging power calculation function, and the formula of the charging power calculation function is as follows:
（1）
in the case of the formula (1), Actual charging power for vehicle battery,/>For charging voltage,/>For charging current,/>For the resistance value of the charging pile resistor,/>For the subscript of the resistance value of the charging pile resistor,/>Is the fault voltage limiter resistance value, 2 is the fault voltage limiter resistance value subscript,/>The resistance value of the rectifier diode in the AC/DC converter is 3 is the subscript of the resistance value of the rectifier diode in the AC/DC converter,/>The resistor value of the voltage-stabilizing diode in the AC/DC converter is shown as a subscript of the resistor value of the voltage-stabilizing diode in the AC/DC converter.
4. The new energy electricity consumption information acquisition charging pile control system according to claim 1, wherein: the charging and billing module performs composite billing on time and charging power factors of a vehicle battery by adopting a composite billing method, the composite billing method sets a charging rate according to a charging period, the composite billing method integrates the charging power of the vehicle battery in time stamps of starting and ending charging by a time integration algorithm to obtain the output total electric quantity of the charging pile, the charging and billing is the product of the output total electric quantity of the charging pile and the set charging rate, and a calculation formula of the time integration algorithm is as follows:
（2）
In the formula (2) of the present invention, Output total electric quantity for charging pile,/>For the time stamp of the start of charging,/>For the time stamp subscript of charge start,/>For the timestamp of the end,/>For ending timestamp subscript,/>Charging efficiency for charging pile,/>Is the total resistance of the vehicle charger.
5. The new energy electricity consumption information acquisition charging pile control system according to claim 1, wherein: the automatic switching charging module adopts a time control method and an electric quantity control method to realize automatic control of vehicle charging of a charging pile, the time control method adopts a priority scheduling algorithm to realize time charging control instruction output, the priority scheduling algorithm determines that the set charging time is the highest priority through dynamic priority, the priority scheduling algorithm generates the time charging control instruction according to the highest priority, the programmable controller terminates the vehicle charging through the time charging control instruction, the electric quantity control method adopts an intelligent scheduling algorithm to realize automatic full charging and power off of the vehicle, the intelligent scheduling algorithm judges the full state of the vehicle through network load balance, and the programmable controller terminates the vehicle charging according to the full state of the vehicle.
6. The new energy electricity consumption information acquisition charging pile control system according to claim 1, wherein: the working method of the overvoltage diagnosis module comprises the following steps:
Firstly, eliminating dimension differences among charging pile charging data by adopting data calibration standardization, wherein the data calibration standardization scales the charging pile charging data to be within a range of [0,1] by adopting linear scaling, and the overvoltage diagnosis module divides the scaled charging pile charging data into a training set and a testing set by data division;
Secondly, performing model simulation training on the training set by adopting a randomness simulation algorithm to obtain an overvoltage detection model, wherein the randomness simulation algorithm evaluates the performance of the overvoltage detection model through cross validation, the overvoltage detection model is tested according to the test set, the overvoltage detection model realizes structural optimization through Bayesian optimization, the Bayesian optimization adopts a fitting objective function to iteratively calculate the maximized structural strength of the overvoltage detection model, and the maximized structural strength of the overvoltage detection model has a calculation formula:
（3）
In the formula (3) of the present invention, Maximizing structural strength for overpressure detection models,/>For the maximum voltage threshold of the charging pile,/>For the initial structural strength value of the overvoltage detection model,/>Error rate of fitting for fitting objective function,/>The iteration number is optimized for Bayes;
And thirdly, performing overvoltage analysis on charging pile charging data through an overvoltage marking by the overvoltage detection model, and performing overvoltage detection on the charging pile charging data through an overvoltage threshold value to realize overvoltage diagnosis of the charging pile.
7. The new energy electricity consumption information acquisition charging pile control system according to claim 1, wherein: the overvoltage protection control module adopts voltage limiting protection measures to treat the overvoltage phenomenon of the charging pile, the voltage limiting protection measures adopt energy flow inhibition efficiency objective functions to optimize voltage limiting voltage values of the fault voltage limiter, the energy flow inhibition efficiency objective functions obtain an optimal voltage limiting strategy of the fault voltage limiter through secondary constraint optimization, and the fault current limiter reduces charging voltage of the charging pile according to the optimal voltage limiting strategy.
8. The new energy electricity consumption information acquisition charging pile control system according to claim 1, wherein: the interface design module adopts a Qt interface generation tool to design a user charging interface, the Qt interface generation tool is provided with a charging mode selection button to realize charging mode selection, and the charging mode selection button comprises automatic filling and charging time self-definition.
9. The new energy electricity consumption information acquisition charging pile control system according to claim 1, wherein: the click event control module obtains charging mode information selected by a user through an event processing function, the event processing function analyzes and processes the charging mode information selected by the user through a method using an event object, the event processing function outputs the analyzed and processed charging mode information to a programmable controller through a wireless network communication protocol, and the programmable controller selects a time control method and an electric quantity control method through the analyzed and processed charging mode information.
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