Intelligent charging system based on steam driving
By constructing power structure sequence labels and real-time steam parameter acquisition, the output voltage response of the steam-driven intelligent charging system is optimized, and the problem of disconnection between the control rhythm and the target parameters in traditional technology is solved, and the stability and energy utilization of the multi-stage charging process are achieved.
Patent Information
- Application Number
- CN202510647763.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-20
- Publication Date
- 2025-08-15
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional steam-driven intelligent charging technology lacks dynamic labeling and timing identification methods under multi-source input conditions, resulting in the disconnection of the regulation rhythm from the target parameters, and the inability to respond to changes in energy efficiency in a timely manner, resulting in the intensification of voltage shock, limiting the operating stability during high fluctuation input and multi-stage charging.
By constructing the power structure sequence label, steam parameters are collected in real time and energy conversion efficiency deviation is calculated, combined with the judgment of the pressure difference fluctuation trend and the identification of voltage change rate, the output voltage response rhythm is optimized, and the linkage adjustment of rectifying conduction and filtering rhythm is adopted to match the stage power and response rate to improve the timing scheduling accuracy of segmented energy supply.
It enhances the regulation synchronization between energy input and output targets, improves real-time response and energy utilization efficiency in fluctuating load scenarios, and ensures the stability of the energy supply state and the accuracy of the charging process.
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Figure CN120498088A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of intelligent charging control technology, and in particular to a steam-driven intelligent charging system. Background Art
[0002] The field of intelligent charging control technology includes automatic adjustment and control systems used to manage the electric energy charging process. The core content of this technology field is to realize intelligent identification, dynamic management and parameter adjustment of charging behavior, and ensure real-time control and distribution of electric energy output status under various energy input conditions. Its overall technical system usually includes a charging parameter acquisition module, a control logic execution unit, a communication interface and a feedback channel. Through continuous monitoring and analysis of power supply status, battery characteristics, environmental parameters, etc., a charging strategy execution and safety assurance mechanism is formed. This field is widely used in new energy systems, electric transportation platforms, and energy storage control links, and is committed to realizing multi-source access, intelligent coordination, and automated charging management with adjustable current and voltage.
[0003] Among them, the steam-driven intelligent charging system control method refers to using steam as the initial energy driving source to build a power generation mechanism, and developing a control system structure around the fast charging device connected to the power generation output end. The control system specifically includes steam regulation control, power generation status monitoring, power output stability regulation and fast charging current and voltage regulation. The system constructs a dynamic response control path between power generation and fast charging links through real-time collection and logical judgment of parameters such as turbine speed, voltage fluctuation, and load response, ensuring the control node's adaptability to different input energy levels, and controlling the output power and control command distribution of the fast charging interface through standardized protocols, ultimately forming a complete intelligent charging control logic.
[0004] When dealing with multi-source input conditions, traditional steam-driven smart charging technology has a relatively one-way response structure between the input and output ends, and fails to establish a coupled feedback mechanism based on power generation efficiency and target charging demand. The control path relies on preset parameters and a single state monitoring point for adjustment decisions. In scenarios where load demand changes frequently or input fluctuates violently, there is a lack of dynamic labels and timing identification methods, resulting in a disconnect between the regulation rhythm and target parameters and causing output voltage and current offsets. In terms of charging protocol parsing, only fixed parameter fields are parsed, and it is impossible to generate structural trend signals according to the stage evolution logic, and it is impossible to provide a clear target change path for the control behavior. During the multi-stage fast charging process, the voltage platform switching fails to respond to energy efficiency changes in a timely manner, resulting in an imbalance in the turbine output and an increase in voltage shock, which limits the operational stability under high-fluctuation input and multi-stage charging paths. Summary of the Invention
[0005] In order to solve the technical problems existing in the prior art, the embodiment of the present invention provides a steam-driven intelligent charging system. The technical solution is as follows: In one aspect, a steam-driven intelligent charging system is provided, comprising: The protocol identification module obtains the protocol data uploaded by the charging interface, extracts the target voltage values, current upper limits, and duration required for multiple charging stages, analyzes the progressive patterns and power characteristic trajectories between multiple charging stages, establishes a multi-stage power parameter sequence, and generates a power structure sequence label. The energy efficiency calibration module collects steam pressure, flow rate and temperature in real time according to the power structure sequence label, calculates the steam energy conversion efficiency deviation and adjusts the valve opening according to the power output per unit time, and obtains the output correction result; The output judgment module calls the output correction result, obtains the difference between the voltage and current values of multiple time periods, constructs a continuous pressure difference data sequence, performs interval judgment on the pressure difference fluctuation range and duration in the current time period, analyzes the sequence trend stability, and obtains pressure difference stability information; The voltage regulation module extracts the voltage change rate based on the voltage difference stability information, identifies the rate change direction and fluctuation amplitude and compares them with the voltage fluctuation rate judgment threshold, identifies the positive trend and adjusts the rectifier window conduction time, identifies the negative trend and adjusts the filter time constant to obtain the voltage rate control result.
[0006] As a further solution of the present invention, the power structure sequence label is specifically a voltage progressive direction identifier, a current step amplitude coefficient, and a power stage timing index; the output correction result includes steam energy input, power output value per unit time, and steam energy efficiency offset degree; the pressure difference stability information is specifically a pressure difference fluctuation range span, a stable duration period, and a trend reversal frequency; the voltage rate control result includes a voltage change rate value, a fluctuation direction judgment value, and a voltage control execution response parameter.
[0007] As a further solution of the present invention, the protocol identification module includes: The parameter acquisition submodule obtains the protocol data uploaded by the charging interface, extracts the target voltage value, current upper limit value and duration required for each charging stage, and obtains the multi-stage electrical parameter extraction values based on the stage number; The stage feature recognition submodule identifies the direction of voltage change and the step amplitude change of the current upper limit between adjacent stages based on the multi-stage electrical parameter extraction values, analyzes the progressive mode and power feature trajectory between multiple charging stages, and obtains the inter-stage feature trend coefficient; The structure label generation submodule constructs a multi-stage power sequence identifier based on the inter-stage characteristic trend coefficient and generates a power structure sequence label by extracting the voltage span, current adjustment amplitude and time sorting index.
[0008] As a further solution of the present invention, the energy efficiency calibration module includes: The steam parameter acquisition submodule obtains the power structure sequence label, collects the steam pressure, steam flow and steam temperature in the steam pipeline in real time, and generates a real-time sample set of steam parameters; The output energy comparison submodule calculates the thermal energy value of the steam input per unit time based on the real-time sample set of steam parameters, calls the power output value of the synchronous period to compare the thermal energy with the electrical energy, and calculates the deviation of the current thermal conversion efficiency in combination with the steam energy conversion efficiency benchmark value to obtain the steam energy efficiency offset difference; The adjustment command generation submodule adjusts the valve opening of the pressure regulating valve based on the steam energy efficiency offset difference and obtains an output correction result.
[0009] As a further solution of the present invention, the specific formula for calculating the deviation of the current thermal conversion efficiency is: ; Calculate the deviation value of steam heat conversion efficiency; in, Indicates time period The steam heat conversion efficiency deviation value within Indicates the power output value during this time period, in watts. Indicates the Channels in time period The steam mass flow rate in kg per second is Indicates the Channels in time period The unit mass enthalpy in kilojoules per kilogram is Indicates time period The steam energy conversion efficiency benchmark value is a dimensionless parameter. Indicates the steam sampling channel number, Indicates the sampling time period number of the current evaluation. Indicates the number of steam sampling channels participating in the measurement simultaneously in the system.
[0010] As a further solution of the present invention, the output judgment module includes: The pressure difference extraction submodule calls the output correction result to obtain the voltage and current values within multiple continuous time periods, synchronously extracts the voltage change amplitude and current change amplitude within each period, and generates a continuous pressure difference data sequence based on the period number; The fluctuation identification submodule identifies the fluctuation range interval of the pressure difference value in the current time period according to the continuous pressure difference data sequence, and records the duration of the target interval to obtain the pressure difference fluctuation duration interval value; The trend judgment submodule analyzes the consistency of the changing direction of the pressure difference between adjacent cycles based on the pressure difference fluctuation duration interval value, evaluates the stability of the sequence trend, and obtains the pressure difference stability information.
[0011] As a further solution of the present invention, the consistency of the changing direction of the pressure difference between adjacent cycles is analyzed using an improved formula: ; Calculate the pressure difference trend consistency index; in, Represents the improved pressure difference trend consistency index, a dimensionless value, Indicates the The trend weight coefficient of the period, represents the trend adjustment factor, Adjust the constant for small dimensions to prevent the denominator from being zero or too small. Indicates the The duration interval of the pressure difference fluctuation within a time period, in volts, Indicates the The duration interval of the pressure difference fluctuation within a time period, in volts, Indicates the next cycle number of the currently compared time period in the sequence. Indicates the number of the current time period. Indicates the total number of time periods used for trend identification.
[0012] As a further solution of the present invention, the voltage stabilization and control module includes: The rate identification submodule extracts the voltage sampling values within the continuous time period based on the voltage difference stability information, calculates the voltage change rate, records the change direction and amplitude changes in the continuous period, constructs a rate state sequence based on the time information, and generates a voltage rate fluctuation parameter group; The threshold comparison submodule extracts the voltage rate value and change direction in each cycle according to the voltage rate fluctuation parameter group, and compares them with the set voltage rate fluctuation judgment threshold to obtain the voltage rate deviation judgment value; The regulation execution submodule identifies the positive trend and adjusts the rectifier window conduction time according to the voltage rate deviation judgment value and the deviation direction, identifies the negative trend and adjusts the filter time constant to obtain the voltage rate control result.
[0013] As a further embodiment of the present invention, the system further comprises: The rhythm planning module calls the target power value of each stage in the multi-stage power parameter sequence based on the voltage rate control result, compares the response rate with the actual power change capability per unit time, matches the stage power and response rate, identifies the stage with mismatched response rate and sets the advance loading period to obtain the segmented energy supply scheduling cycle value; The segmented energy supply scheduling cycle value specifically refers to the power stage segment label, the power response rate difference, and the advance loading trigger time point.
[0014] As a further solution of the present invention, the rhythm planning module includes: The power extraction submodule calls the target power value of each stage in the multi-stage power parameter sequence according to the voltage rate control result, and extracts the voltage, current, and duration corresponding to each stage to generate a target power sequence value; The rate comparison submodule collects the power change capability per unit time of the current steam drive system according to the target power sequence value, compares the response rate with the actual power change capability per unit time, matches the stage power and response rate, identifies the stage with mismatched response rate, and obtains the response rate mismatch interval; The loading scheduling submodule calls the response rate mismatch interval, identifies the start time point corresponding to the mismatch phase, sets an advance loading period according to the loading time required for the target power to rise, and obtains a segmented energy supply scheduling cycle value.
[0015] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least: By combining the power structure sequence labels constructed with the voltage, current and time parameters between stages, the trend expression and structure identification of multi-stage charging demand are realized. The dynamic calibration of the steam input and power generation power ratio is used to enhance the regulation synchronization between energy input and output targets. The pressure difference fluctuation trend judgment and voltage change rate identification are used to improve the ability to identify the stability of the energy supply state. The linkage adjustment of the rectification conduction and filtering rhythm is used to optimize the output voltage response rhythm. Combined with the matching strategy of stage power and response rate, the timing scheduling accuracy of the segmented energy supply is improved, and the real-time response and energy utilization efficiency under fluctuating load scenarios are enhanced. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0017] Figure 1 is a system flow chart of the present invention; Figure 2 Schematic diagram of the system framework of the present invention; Figure 3 This is a flow chart of the protocol identification module of the present invention; Figure 4 This is a flow chart of the energy efficiency calibration module of the present invention; Figure 5 This is a flow chart of the output judgment module of the present invention; Figure 6 This is a flow chart of the voltage stabilization and control module of the present invention; Figure 7 This is a flow chart of the rhythm planning module of the present invention. DETAILED DESCRIPTION
[0018] The technical solution of the present invention is described below in conjunction with the accompanying drawings.
[0019] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as an "exemplary" in the present invention should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of the word "exemplary" is intended to present concepts in a concrete manner. Furthermore, in the embodiments of the present invention, "and / or" can mean both or either of the two.
[0020] In the embodiments of the present invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, when the distinction is not emphasized, the meanings they convey are the same. The terms "of," "corresponding," and "corresponding" may sometimes be used interchangeably. It should be noted that, when the distinction is not emphasized, the meanings they convey are the same.
[0021] In the embodiments of the present invention, sometimes a subscript such as W1 may be written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are the same.
[0022] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.
[0023] The embodiment of the present invention provides a steam-driven intelligent charging system, please refer to Figures 1 to 2 The present invention provides a technical solution, a steam-driven intelligent charging system comprising: The protocol identification module obtains the protocol data uploaded by the charging interface, extracts the target voltage values, current upper limits, and duration required for multiple charging stages, analyzes the progressive patterns and power characteristic trajectories between multiple charging stages, establishes a multi-stage power parameter sequence, and generates a power structure sequence label. The energy efficiency calibration module collects steam pressure, flow, and temperature in real time based on the power structure sequence label. Combined with the power output per unit time, it calculates the steam energy conversion efficiency deviation and adjusts the valve opening to obtain the output correction result. The output judgment module calls the output correction result, obtains the difference between the voltage and current values of multiple time periods, constructs a continuous pressure difference data sequence, performs interval judgment on the pressure difference fluctuation range and duration within the current time period, analyzes the sequence trend stability, and obtains pressure difference stability information; The voltage regulation module extracts the voltage change rate based on the voltage difference stability information, identifies the rate change direction and fluctuation amplitude, and compares it with the voltage fluctuation rate judgment threshold. It identifies the positive trend and adjusts the rectifier window conduction time. It identifies the negative trend and adjusts the filter time constant to obtain the voltage rate control result. Based on the voltage rate control results, the rhythm planning module calls the target power value of each stage in the multi-stage power parameter sequence, compares the response rate with the actual power change capability per unit time, matches the stage power and response rate, identifies the stage with mismatched response rate and sets the advance loading period to obtain the segmented energy supply scheduling cycle value.
[0024] The power structure sequence label specifically includes the voltage progressive direction identifier, the current step amplitude coefficient, and the power stage timing index. The output correction results include the steam energy input, the power output value per unit time, and the degree of steam energy efficiency offset. The pressure difference stability information specifically includes the pressure difference fluctuation range span, the stable duration period, and the trend reversal frequency. The voltage rate control result includes the voltage change rate value, the fluctuation direction judgment value, and the voltage control execution response parameter. The segmented energy supply scheduling cycle value specifically refers to the power stage segment label, the power response rate difference, and the advance loading trigger time point.
[0025] See also Figure 2 and Figure 3 , the protocol identification module includes: The parameter acquisition submodule obtains the protocol data uploaded by the charging interface, extracts the target voltage value, current upper limit value and duration required for each charging stage, and obtains the multi-stage electrical parameter extraction values based on the stage number; The parameter acquisition submodule obtains the protocol data uploaded by the charging interface. It is necessary to obtain the data fields of each stage by parsing the data frame format, identify the voltage value, current value and duration field position corresponding to each stage, and extract the value according to the field byte format. The target voltage value field is read in hexadecimal form and converted to decimal units. If the data value is 0x1E, the converted voltage is 30V, which corresponds to the input level voltage requirement of the small battery module in the actual scenario. The current upper limit field extraction needs to read the corresponding two bytes and convert them according to the current step amount set in the protocol. If it is set to each unit, Table 0.1A, when the field value is 0x28, the corresponding current is 4.0A. After the duration field is extracted, it is uniformly recorded in seconds. When the field value is 0x0F0, it means 240 seconds. The three extracted parameters are bound to the stage number to form a stage data item. In the multi-stage protocol, the complete stage sequence is extracted according to the start identifier and the stage segment end flag, and a stage electrical parameter data list is constructed. The precise values of the voltage, current, and time parameters in each stage are recorded item by item. At the same time, a stage number sequence index is established to construct a complete data table for subsequent comparison operations and mode judgment analysis between stages to generate multi-stage electrical parameter extraction values.
[0026] The stage feature recognition submodule extracts the values of multi-stage electrical parameters, identifies the direction of voltage change and the step amplitude change of the current upper limit between adjacent stages, analyzes the progressive mode and power feature trajectory between multiple charging stages, and obtains the inter-stage feature trend coefficient; The stage feature recognition submodule extracts the target voltage value and current upper limit value of each pair of adjacent stages based on the multi-stage electrical parameter extraction value, and performs direction recognition and step amplitude division processing respectively. The voltage change direction is judged by the threshold ±1V. When the voltage value of the current stage is greater than the previous stage by more than 1V, it is judged to be rising, otherwise it is falling, otherwise it is maintained. The current step division is divided into levels with 0.5A as the unit interval. If the current in the current stage is 4.0A and the current in the previous stage is 3.0A, the step amplitude is 1.0A, corresponding to two standard levels. The time dimension processing is based on The stage duration fields are sorted from small to large to determine whether there are reverse-numbered segments. These abnormal segments are removed and analyzed. The target power is further extracted and calculated using the formula P = U × I. For example, if the voltage U is 36 V and the current I is 4 A, then P = 36 × 4 = 144 W, where P is the target power value, U is the target voltage value for the stage, and I is the upper limit of the current for the stage. After constructing the power sequence, a two-dimensional trend matrix is established with the stage number as the index. Trend label encoding and trend change identification are performed in ascending order of power to obtain the characteristic trend coefficient between stages.
[0027] The structure label generation submodule constructs a multi-stage power sequence identifier based on the inter-stage characteristic trend coefficient by extracting the voltage span, current adjustment amplitude and time sorting index, and generates a power structure sequence label; The structure label generation submodule constructs a stage ternary feature structure based on the inter-stage characteristic trend coefficient. First, the voltage change amplitude is extracted and normalized into voltage segment numbers. For example, less than 5V is numbered 1, between 5V and 10V is numbered 2, and greater than 10V is numbered 3. The current adjustment amplitude is based on the judgment unit of 0.5A. When the current change between the two stages is 1.5A, it is marked as adjustment level 3. The time sorting index is directly taken according to the stage number without conversion. After constructing three indicators for each stage, a triplet structure data item is formed, which is expressed as (E , C, T), where E is the voltage span segment number, C is the current adjustment level number, and T is the time series position value. If the voltage change in a certain stage is 6.2V, the current is adjusted to 1.0A, and it is sorted in the 4th stage, then its structure label is (2, 2, 4). All stage triplet structures are combined to form a stage structure label sequence, which is sorted in sequence by stage number and assigned a unified sequence index. After binding the protocol source information number, data archiving is completed, and all label data are integrated to form the charging protocol corresponding stage structure information set, generating a power structure sequence label.
[0028] See also Figure 2 and Figure 4 , the energy efficiency calibration module includes: The steam parameter acquisition submodule obtains the power structure sequence label, collects the steam pressure, steam flow and steam temperature in the steam pipeline in real time, and generates a real-time sample set of steam parameters; The steam parameter acquisition submodule obtains the power structure sequence label, and sets the time interval and recording period for steam parameter acquisition based on the power increment sequence of each stage identified in the label. It selects the key parameters of the steam pipeline to be sampled once per second during the charging control cycle, and synchronously records the sampling timestamp for subsequent matching of output power data. The steam pressure data is obtained in real time through the pressure sensor installed on the main pipeline in MPa. If the reading value is 0.85 MPa, the steam supply is in a medium pressure state during this period. The steam flow is measured by a turbine flowmeter installed on the steam supply main road in kg / h. If the current flow is 2200 kg / h, it means that the boiler The furnace system is in the medium-to-high load output range. The steam temperature is collected by a thermocouple temperature measuring device in degrees Celsius. The measured value of 375°C corresponds to the operating state at the typical saturated steam temperature. The above three parameters are packaged into a group of record units every second and arranged in ascending time order to form a periodic sample set. All sample items are stored in the record sequence according to the structural format (T, P, F), where T is the temperature value, P is the pressure value, and F is the flow value. Finally, the number of samples collected in each stage is equal to the number of seconds corresponding to the duration of the stage. If the duration of a stage is 180 seconds, 180 groups of sample data are formed to generate a real-time sample set of steam parameters.
[0029] The output energy comparison submodule calculates the thermal energy value of steam input per unit time based on the real-time sample set of steam parameters, calls the power output value of the synchronous period to compare the thermal energy with the electrical energy, and calculates the deviation of the current thermal conversion efficiency in combination with the steam energy conversion efficiency benchmark value to obtain the steam energy efficiency offset difference; The specific formula for calculating the deviation of the current thermal conversion efficiency is: ; Calculate the deviation value of steam heat conversion efficiency; in, Indicates time period The steam heat conversion efficiency deviation value within Indicates the power output value during this time period, in watts. Indicates the Channels in time period The steam mass flow rate in kg per second is Indicates the Channels in time period The unit mass enthalpy in kilojoules per kilogram is Indicates time period The steam energy conversion efficiency benchmark value is a dimensionless parameter. Indicates the steam sampling channel number, Indicates the sampling time period number of the current evaluation. Indicates the number of steam sampling channels participating in the measurement simultaneously in the system.
[0030] formula: ; Detailed explanation of the formula and the process of formula calculation and derivation: The formula is used to calculate the deviation of steam thermal conversion efficiency. The result is used to characterize the efficiency fluctuation between steam energy input and electrical energy output, and to determine whether the current operating state deviates from the target state. Parameter meaning and setting value: For time period The actual power output of the generator is collected by the power sensor module and is set to 450,000W. 、 are the steam mass flow rates of channel 1 and channel 2, respectively, which are set to 0.8 kg / s and 0.6 kg / s; 、 To correspond to the unit mass enthalpy of the channel, it is set to 2810 kJ / kg and 2775 kJ / kg; The design heat conversion benchmark efficiency of the steam system is set to 0.32; Indicates the number of channels, set to 2 main steam supply pipelines; Substitute the parameters into the formula for calculation: ; ; ; ; ; The result 0.20501 indicates that in the current time period, the actual thermal conversion efficiency of the system is 20.5 percentage points lower than the design benchmark. The deviation value is used by the energy supply regulation module to identify the degree of efficiency deviation and trigger subsequent energy efficiency compensation strategies and voltage regulation response logic.
[0031] The regulation command generation submodule adjusts the valve opening of the pressure regulating valve based on the steam energy efficiency offset difference and obtains the output correction result; The regulation command generation submodule is based on the steam energy efficiency offset difference. It first determines whether Δη in each cycle is negative. If it is less than zero, it is considered that the efficiency is lower than the benchmark, and the steam input needs to be increased to improve the efficiency. Otherwise, the input adjustment is reduced. The offset response range is set to ±0.02. If Δη exceeds this range, the regulation mechanism is triggered. The pressure regulation level is divided according to the offset value. For example, if Δη is -0.0267, it falls in the low-medium level area. The corresponding regulation plan is to increase the pressure regulating valve opening to 1.15 times the current base value. If the current valve opening is 45%, the new opening is 45% × 1.15 = 51.75%. When Δη is a positive value such as +0.035, the upper limit protection mechanism is triggered, and the valve opening is set to 90% of the original value. If the current valve is 60%, it should be adjusted to 54%. The above control value is issued by the control unit to adjust the command and execute the electric actuator response. The opening signal is transmitted to the execution component in the form of a PWM pulse width signal at the valve control interface. The system re-enters the next cycle operation according to the adjusted opening and feeds back the corrected parameters to the steam input end monitoring unit, completing the current cycle control closed loop and obtaining the output correction result.
[0032] See also Figure 2 and Figure 5 , the output judgment module includes: The pressure difference extraction submodule calls the output correction result, obtains the voltage and current values within multiple continuous time periods, synchronously extracts the voltage and current change amplitudes within each period, and generates a continuous pressure difference data sequence based on the period number; The voltage difference extraction submodule calls the output correction result. First, it obtains the periodically collected voltage and current data according to the output data sampling frequency set in each control cycle, and subtracts the voltage values of two adjacent time nodes to obtain the voltage change amplitude. , subtract the current values to get the current change amplitude , each piece of data is accompanied by a time period number , used to maintain sampling order consistency, such as in During the cycle, if the voltage changes from down to ,but If the current from Rise to ,but , and record the cycle number as 5, forming a structure of The calculation process is repeated for multiple consecutive cycles to form a complete time series pressure difference record column, and the data structure is unified into a triple form. ,in For the The cycle number, is the voltage variation amplitude of this cycle, is the current variation amplitude of this cycle, if the sampling frequency is , collecting the pressure difference within 10 seconds, we get 10 sets of pressure difference data. All the data are arranged and combined in chronological order to construct a set of continuous data sequences. This sequence is used as the input basis for subsequent judgment of fluctuations and trends to generate a continuous pressure difference data sequence.
[0033] The fluctuation identification submodule identifies the fluctuation range of the pressure difference value in the current time period based on the continuous pressure difference data sequence, and records the duration of the target interval to obtain the pressure difference fluctuation duration interval value; The fluctuation identification submodule first sets the voltage difference identification threshold according to the continuous voltage difference data sequence. , current voltage difference recognition threshold , read each cycle and The value of is determined to determine whether it falls within the corresponding pressure difference range at the same time. If both are satisfied, and , then the cycle number is recorded as the component unit of the stable fluctuation segment, and the number continuity is used as the continuity judgment condition. For example, if the 5th to 9th cycles meet the above double conditions, then their duration is 5 seconds. When there is a 10th cycle When the threshold is exceeded, the 5th to 9th cycles are recorded as a complete fluctuation duration segment with a duration of 5 seconds. For each segment of the voltage difference subsequence identified as stable, its start cycle, end cycle and number of duration cycles are recorded respectively, and the maximum and minimum values of voltage and current in the fluctuation segment are added to form a structured voltage difference interval information item in the format of ,in is the duration in seconds, and finally outputs multiple pressure difference interval records to obtain the pressure difference fluctuation duration interval value.
[0034] The trend judgment submodule analyzes the consistency of the pressure difference change direction between adjacent cycles based on the pressure difference fluctuation duration interval value, evaluates the stability of the sequence trend, and obtains the pressure difference stability information; To analyze the consistency of the changing direction of the pressure difference between adjacent cycles, the improved formula is adopted: ; Calculate the pressure difference trend consistency index; in, Represents the improved pressure difference trend consistency index, a dimensionless value, Indicates the The trend weight coefficient of the period, represents the trend adjustment factor, Adjust the constant for small dimensions to prevent the denominator from being zero or too small. Indicates the The duration interval of the pressure difference fluctuation within a time period, in volts, Indicates the The duration interval of the pressure difference fluctuation within a time period, in volts, Indicates the next cycle number of the currently compared time period in the sequence. Indicates the number of the current time period. Indicates the total number of time periods used for trend identification.
[0035] formula: ; Detailed explanation of the formula and the process of formula calculation and derivation: The formula is used to calculate the consistency of the pressure difference fluctuation direction within a continuous time period, and the result is used to determine the overall stability of the pressure difference series trend; Parameter meaning and setting value: For the The duration interval of the pressure difference fluctuation in a cycle is collected by a high-frequency pressure difference sensor and is expressed in volts. The total number of continuous time periods involved in trend judgment is 6 according to the system response frequency. The actual measured pressure difference duration interval value is set to: , , , , , ; The cycle weight coefficient for trend identification is configured according to the duration of pressure difference fluctuation in each cycle. , , , , ; is the trend variance compensation factor, which is used to enhance the adjustment ability of the denominator when the trend is inconsistent and is set to 0.45; The safety constant set to avoid the denominator being zero is set to 0.01.
[0036] Substitute the parameters into the formula for calculation: ; ; ; ; The result of 1.1639 indicates that the current pressure difference trend direction is highly consistent. The value is used as the calculation result input of the pressure difference stability information in the trend judgment logic, and combined with the system output control link to realize closed-loop trend adaptive identification.
[0037] See also Figure 2 and Figure 6 , the voltage regulation module includes: The rate identification submodule extracts the voltage sampling values within a continuous time period based on the voltage difference stability information, calculates the voltage change rate, records the change direction and amplitude changes in the continuous period, constructs the rate state sequence based on the time information, and generates the voltage rate fluctuation parameter group; The rate identification submodule extracts the voltage sampling value within a continuous time period based on the voltage difference stability information, records the voltage data in units of one second, and obtains the cycle number. Used to mark the sampling points of each cycle and the voltage value of the current cycle Compared with the voltage value of the previous cycle Subtract and divide by the period interval The voltage change rate per unit time is obtained , the calculation formula is , for example when , ,but , then judge the direction of rate change of the current cycle. If Mark as an upward trend, if It is a downward trend, if It is marked as flat, and the direction of the rate change is recorded, and the absolute value of the change amplitude is recorded. As the voltage fluctuation intensity, it is combined into structured rate state entries in sequence according to the cycle number , a complete rate state sequence is generated within multiple cycles of continuous sampling. This sequence can be used as a basis for classifying and regulating future trends and rate levels, and generating a voltage rate fluctuation parameter group.
[0038] The threshold comparison submodule extracts the voltage rate value and change direction in each cycle according to the voltage rate fluctuation parameter group, and compares it with the set voltage rate fluctuation judgment threshold to obtain the voltage rate deviation judgment value; The threshold comparison submodule extracts the rate value corresponding to each cycle according to the voltage rate fluctuation parameter group and its changing direction , set the voltage change rate judgment threshold to , that is, if It is marked as abnormal rate deviation section. It is the rate stability interval. If more than three consecutive cycles meet the abnormal conditions within the sampling period, it is marked as a continuous deviation state. In the actual scenario, if the continuous cycle rates are , because they all exceed the upper threshold, they meet the abnormal segment identification conditions, record the deviation start cycle number, end cycle number, maximum rate value and change direction, and judge whether it is a positive rate anomaly or a negative rate anomaly based on its directionality, and further establish the deviation judgment structure entry ,in Indicates the maximum rate value in this segment. It indicates the dominant change direction in the segment. The structured results are arranged in order to form a cycle deviation judgment list, and the voltage rate deviation judgment value is obtained.
[0039] The regulation execution submodule identifies the positive trend and adjusts the rectifier window conduction time according to the voltage rate deviation judgment value and the deviation direction, and identifies the negative trend and adjusts the filter time constant to obtain the voltage rate control result; The regulation execution submodule determines the rate change direction corresponding to each deviation segment based on the voltage rate deviation judgment value. When the deviation direction is positive, that is, the voltage change shows an upward trend, the on-time of the power transistor in the control rectifier module is compressed. The original on-time is , when the deviation rate is Under the condition, the conduction time is shortened to , and change the duty cycle from the original Reduce to Within the range, the output current waveform is shrunk. When it is determined to be a negative trend, that is, the voltage drop rate is abnormal, the filter path adjustment operation is performed. Time constant formula of filter circuit ,in is the filter voltage recovery time constant (unit: seconds), is the filter series resistance (unit: ohm), is the parallel filter capacitor (unit: Farad), for example, the current resistance is The initial capacitance is , then the time constant is If you need to extend the filter response time to , the capacitor needs to be adjusted to , the regulating command control relay switches to the parallel The capacitor group updates the voltage output path parameters through the adjusted on-time and filter response configuration, and records the adjustment path, modified parameter group number and cycle number of each cycle to obtain the voltage rate control result.
[0040] See also Figure 2 and Figure 7 , the rhythm planning module includes: The power extraction submodule calls the target power value of each stage in the multi-stage power parameter sequence based on the voltage rate control result, and extracts the voltage, current, and duration corresponding to each stage to generate the target power sequence value; The power extraction submodule calls the target power value of each stage in the multi-stage power parameter sequence according to the voltage rate control result, and needs to extract the voltage of each stage in turn. , current upper limit , duration , and by the formula Calculate the corresponding target power value , for example, when the voltage at a certain stage , current When the target power ,in is the target power for this stage, is the voltage parameter, The maximum current threshold set for this stage, the duration of this stage Can be parsed by the protocol field, for example, if the field value is 120 , each set of data is in the form of a quad The target power structure sequence is stored and sorted by stage number. At the same time, each set of data is accompanied by a stage number for subsequent identification of the scheduling rhythm. During the data storage process, all power values are uniformly formatted to two decimal places to avoid precision errors during response matching. Finally, the obtained data is organized to form a one-dimensional target power sequence structure and generate the target power sequence value.
[0041] The rate comparison submodule collects the power change capability per unit time of the current steam drive system based on the target power sequence value, compares the response rate with the actual power change capability per unit time, matches the stage power and response rate, identifies the stage with mismatched response rate, and obtains the response rate mismatch interval; The rate comparison submodule needs to collect the power generation response rate of the steam drive system per unit time according to the target power sequence value. , which is calculated by dividing the output power difference between two adjacent time points by the time interval. The formula is ,in is the output power at the current time, is the output power at the previous time point, is the time interval (in seconds), for example , , ,but , and then compare the power response rate required in the target phase , calculated as ,in is the power increment, The target response time for the stage, e.g. , ,but ,like , then the current system response capability is considered insufficient, and the corresponding stage is recorded as a mismatch state. The stage number, power expectation and response rate difference of the mismatch stage are uniformly stored in the response evaluation record table. After traversing the entire target power sequence, the comparison process is completed to obtain the response rate mismatch interval.
[0042] The loading scheduling submodule calls the response rate mismatch interval, identifies the start time corresponding to the mismatch phase, sets the advance loading period based on the loading time required for the target power increase, and obtains the segmented energy supply scheduling cycle value; Load the scheduling submodule to call the response rate mismatch interval. For each mismatch stage, the target power change value of that stage needs to be extracted. , expected rate and current rate , calculate the required advance loading time by the formula , the expression is ,in is the power change in this stage, Preset the expected response rate for the protocol, is the current actual power change capability of the system, if , , ,but , indicating that loading needs to be done 2 seconds in advance. To this end, the start time of this stage is shifted forward by 2 seconds in the scheduling instruction, and this time point is marked as the trigger point for early loading. If there are continuous mismatches in multiple adjacent stages, the adjacent time periods need to be aggregated to form a continuous adjustment segment, and a unified control instruction is generated and written into the energy supply timing schedule. The loading node configuration is issued through the scheduling main control unit to obtain the segmented energy supply scheduling cycle value.
[0043] The above embodiments can be implemented in whole or in part via software, hardware (e.g., circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present invention are fully or partially performed. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired means (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. The available medium can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.
[0044] It should be understood that the term "and / or" as used herein simply describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A alone, A and B together, or B alone. A and B can be singular or plural. Furthermore, the character " / " as used herein generally indicates an "or" relationship between the associated objects, but it may also indicate an "and / or" relationship. For specific understanding, please refer to the context.
[0045] In this disclosure, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, "at least one of a, b, or c" can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural.
[0046] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
[0047] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.
[0048] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0049] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interface, indirect coupling or communication connection of the device or unit, which can be electrical, mechanical or other forms.
[0050] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.
[0051] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
[0052] If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or the portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical disks.
[0053] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.
Claims
1. The intelligent charging system based on steam drive is characterized by: The system comprises: The protocol identification module obtains the protocol data uploaded by the charging interface, extracts the target voltage values, current upper limits, and duration required for multiple charging stages, analyzes the progressive patterns and power characteristic trajectories between multiple charging stages, establishes a multi-stage power parameter sequence, and generates a power structure sequence label. The energy efficiency calibration module collects steam pressure, flow rate and temperature in real time according to the power structure sequence label, calculates the steam energy conversion efficiency deviation and adjusts the valve opening according to the power output per unit time, and obtains the output correction result; The output judgment module calls the output correction result, obtains the difference between the voltage and current values of multiple time periods, constructs a continuous pressure difference data sequence, performs interval judgment on the pressure difference fluctuation range and duration in the current time period, analyzes the sequence trend stability, and obtains pressure difference stability information; The voltage regulation module extracts the voltage change rate based on the voltage difference stability information, identifies the rate change direction and fluctuation amplitude and compares them with the voltage fluctuation rate judgment threshold, identifies the positive trend and adjusts the rectifier window conduction time, identifies the negative trend and adjusts the filter time constant to obtain the voltage rate control result.
2. The steam-driven intelligent charging system according to claim 1, characterized in that: The power structure sequence label specifically includes the voltage progressive direction identifier, the current step amplitude coefficient, and the power stage timing index; the output correction result includes the steam energy input, the power output value per unit time, and the degree of steam energy efficiency offset; the pressure difference stability information specifically includes the pressure difference fluctuation range span, the stable duration period, and the trend reversal frequency; the voltage rate control result includes the voltage change rate value, the fluctuation direction judgment value, and the voltage control execution response parameter.
3. The steam-driven intelligent charging system according to claim 1, characterized in that: The protocol identification module includes: The parameter acquisition submodule obtains the protocol data uploaded by the charging interface, extracts the target voltage value, current upper limit value and duration required for each charging stage, and obtains the multi-stage electrical parameter extraction values based on the stage number; The stage feature recognition submodule identifies the direction of voltage change and the step amplitude change of the current upper limit between adjacent stages based on the multi-stage electrical parameter extraction values, analyzes the progressive mode and power feature trajectory between multiple charging stages, and obtains the inter-stage feature trend coefficient; The structure label generation submodule constructs a multi-stage power sequence identifier based on the inter-stage characteristic trend coefficient and generates a power structure sequence label by extracting the voltage span, current adjustment amplitude and time sorting index.
4. The steam-driven intelligent charging system according to claim 3, characterized in that: The energy efficiency calibration module includes: The steam parameter acquisition submodule obtains the power structure sequence label, collects the steam pressure, steam flow and steam temperature in the steam pipeline in real time, and generates a real-time sample set of steam parameters; The output energy comparison submodule calculates the thermal energy value of the steam input per unit time based on the real-time sample set of steam parameters, calls the power output value of the synchronous period to compare the thermal energy with the electrical energy, and calculates the deviation of the current thermal conversion efficiency in combination with the steam energy conversion efficiency benchmark value to obtain the steam energy efficiency offset difference; The adjustment command generation submodule adjusts the valve opening of the pressure regulating valve based on the steam energy efficiency offset difference and obtains an output correction result.
5. The steam-driven intelligent charging system according to claim 4, characterized in that: The specific formula for calculating the deviation of the current thermal conversion efficiency is: ; Calculate the deviation value of steam heat conversion efficiency; in, Indicates time period The steam heat conversion efficiency deviation value within Indicates the power output value during this time period, in watts. Indicates the Channels in time period The steam mass flow rate in kg per second is Indicates the Channels in time period The unit mass enthalpy in kilojoules per kilogram is Indicates time period The steam energy conversion efficiency benchmark value is a dimensionless parameter. Indicates the steam sampling channel number, Indicates the sampling time period number of the current evaluation. Indicates the number of steam sampling channels participating in the measurement simultaneously in the system.
6. The steam-driven intelligent charging system according to claim 4, characterized in that: The output judgment module includes: The pressure difference extraction submodule calls the output correction result to obtain the voltage and current values within multiple continuous time periods, synchronously extracts the voltage change amplitude and current change amplitude within each period, and generates a continuous pressure difference data sequence based on the period number; The fluctuation identification submodule identifies the fluctuation range interval of the pressure difference value in the current time period according to the continuous pressure difference data sequence, and records the duration of the target interval to obtain the pressure difference fluctuation duration interval value; The trend judgment submodule analyzes the consistency of the changing direction of the pressure difference between adjacent cycles based on the pressure difference fluctuation duration interval value, evaluates the stability of the sequence trend, and obtains the pressure difference stability information.
7. The steam-driven intelligent charging system according to claim 6, characterized in that: The consistency of the changing direction of the pressure difference between adjacent cycles is analyzed by using the improved formula: ; Calculate the pressure difference trend consistency index; in, Represents the improved pressure difference trend consistency index, a dimensionless value, Indicates the The trend weight coefficient of the period, represents the trend adjustment factor, Adjust the constant for small dimensions to prevent the denominator from being zero or too small. Indicates the The duration interval of the pressure difference fluctuation within a time period, in volts, Indicates the The duration interval of the pressure difference fluctuation within a time period, in volts, Indicates the next cycle number of the currently compared time period in the sequence. Indicates the number of the current time period. Indicates the total number of time periods used for trend identification.
8. The steam-driven intelligent charging system according to claim 6, characterized in that: The voltage stabilization and control module includes: The rate identification submodule extracts the voltage sampling values within the continuous time period based on the voltage difference stability information, calculates the voltage change rate, records the change direction and amplitude changes in the continuous period, constructs a rate state sequence based on the time information, and generates a voltage rate fluctuation parameter group; The threshold comparison submodule extracts the voltage rate value and change direction in each cycle according to the voltage rate fluctuation parameter group, and compares them with the set voltage rate fluctuation judgment threshold to obtain the voltage rate deviation judgment value; The regulation execution submodule identifies the positive trend and adjusts the rectifier window conduction time according to the voltage rate deviation judgment value and the deviation direction, identifies the negative trend and adjusts the filter time constant to obtain the voltage rate control result.
9. The steam-driven intelligent charging system according to claim 1, characterized in that: The system further comprises: The rhythm planning module calls the target power value of each stage in the multi-stage power parameter sequence based on the voltage rate control result, compares the response rate with the actual power change capability per unit time, matches the stage power and response rate, identifies the stage with mismatched response rate and sets the advance loading period to obtain the segmented energy supply scheduling cycle value; The segmented energy supply scheduling cycle value specifically refers to the power stage segment label, the power response rate difference, and the advance loading trigger time point.
10. The steam-driven intelligent charging system according to claim 9, characterized in that: The rhythm planning module includes: The power extraction submodule calls the target power value of each stage in the multi-stage power parameter sequence according to the voltage rate control result, and extracts the voltage, current, and duration corresponding to each stage to generate a target power sequence value; The rate comparison submodule collects the power change capability per unit time of the current steam drive system according to the target power sequence value, compares the response rate with the actual power change capability per unit time, matches the stage power and response rate, identifies the stage with mismatched response rate, and obtains the response rate mismatch interval; The loading scheduling submodule calls the response rate mismatch interval, identifies the start time point corresponding to the mismatch phase, sets an advance loading period according to the loading time required for the target power to rise, and obtains a segmented energy supply scheduling cycle value.
Citation Information
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Intelligent charging system based on steam driving
CN122092417A