Intelligent charging system based on steam drive

Abstract

The present application relates to the technical field of charging control, in particular to an intelligent charging system based on steam driving, comprising an enthalpy pressure control module, a pollution identification module, a battery monitoring module, a signal coordination module and a system integration module. In the present application, the interval identification of the enthalpy value of the inlet steam is performed, and the target pressure parameter is associated and matched, the valve opening degree and the on-off are dynamically linked and controlled, the adaptability and the adjustment capability to low-quality heat energy are improved, the pollutants in the drain are collected and compared in real time, the cleanliness grading judgment standard and the path switching control are established, the targeted drain treatment and water quality protection are realized, the battery state boundary is identified by monitoring the voltage change rate and the internal resistance difference combination, the multi-class control signal time stamp is collected and the response deviation is uniformly corrected, the multi-control path collaborative linkage and signal synchronous processing are realized, the closed-loop control link covering the whole process of the inlet steam, the drain, the power generation and the charging is constructed, and the overall energy efficiency utilization rate and the operation safety of the charging process are improved.

Description

Technical Field

[0001] This invention relates to the field of charging control technology, and in particular to a steam-driven intelligent charging system. Background Technology

[0002] The field of charging control technology involves control methods and circuit systems for the safe, efficient, and stable charging of energy storage devices such as batteries. These include real-time monitoring and adjustment of parameters such as charging voltage, current, and temperature, charging status identification, power conversion management, battery protection strategy formulation, and multi-power source coordinated control. These technologies are widely used in portable devices, electric vehicles, energy storage systems, and industrial mobile equipment.

[0003] With the widespread application of mobile devices and electric equipment, the demand for removable batteries in logistics, mining machinery, emergency power supply, and some industrial mobile devices is increasing. Traditional fixed charging facilities can no longer meet the needs of distributed, highly flexible charging scenarios. Meanwhile, in the production processes of many industrial plants and mines, such as thermal power plants, chemical plants, steel mills, and paper mills, a large amount of low-grade heat energy is often emitted in the form of steam. This steam typically has low parameters, large fluctuations, and dispersed emission points, making it a typical low-value heat source. Existing steam utilization methods often rely on fixed-installation power generation or heating equipment, which cannot flexibly match such intermittent, low-quality steam sources, resulting in a large amount of energy not being effectively recovered, while also causing environmental thermal pollution and water waste. Currently common steam power generation systems are usually tied to the main steam pipeline network, with a large structure and fixed installation location, making it difficult to adapt to changes in steam emission points and mobile charging needs. Furthermore, traditional systems are mostly designed for stable, high-parameter steam, with poor adaptability to low-parameter, highly fluctuating steam, resulting in low energy conversion efficiency and insufficient operational stability. In terms of charging control, most systems do not consider the voltage fluctuations caused by steam-driven power generation, which can easily lead to unstable charging processes and affect battery life and safety. The hydrophobic treatment process is also relatively crude, often failing to classify and treat the steam according to its cleanliness, resulting in secondary water pollution or equipment scaling and corrosion.

[0004] Existing charging control systems mainly rely on stable, centralized power sources to provide continuous power, which is insufficient to meet the needs of distributed and highly mobile charging scenarios. They are also unable to adapt to the complex operating conditions of using removable batteries in industrial sites. In particular, on the energy acquisition side, facing the fluctuating and low-quality waste heat steam resources in the factory area, the existing systems lack the ability to accurately judge and regulate their energy levels, resulting in low steam utilization efficiency and limited energy recovery. At the same time, they fail to fully identify voltage fluctuations caused by steam power generation during the charging process, affecting the stability and safety of battery charging. In terms of hydrophobic treatment, there is no path identification and control mechanism for different pollutant cleanliness levels, which can easily lead to equipment scaling, water pollution and other hidden dangers. Overall, there are problems such as weak energy adaptability, crude system control mechanism and insufficient charging safety guarantee. Summary of the Invention

[0005] To address the technical problems existing in the prior art, embodiments of the present invention provide a steam-driven intelligent charging system. The technical solution is as follows:

[0006] On the one hand, a steam-driven intelligent charging system is provided, including:

[0007] The enthalpy and pressure control module acquires the steam enthalpy data of the steam inlet pipeline, analyzes the position of the steam enthalpy value in the preset energy level range, dynamically adjusts the target opening degree of the pressure reducing valve and controls the on and off time of the steam inlet valve in conjunction with the control module, and generates a steam pressure regulation instruction set.

[0008] The contamination identification module acquires the particle size, oil film thickness and conductivity value of the condensate pipe section, analyzes the cleanliness level of the contaminant type, dynamically switches the on / off state of the electrically controlled valve, and generates a group of condensate path control instructions.

[0009] The battery monitoring module acquires voltage change sequence data from the charging record terminal, calculates the voltage change rate and internal resistance change difference, identifies the battery saturation state and the voltage over-extension state, and generates a charging state judgment result.

[0010] The signal coordination module obtains the timestamp of the control command from the vehicle main control board, reads the current transmission status of the pressure reducing valve control signal, the charging adjustment signal and the electronic control valve switching signal respectively, and corrects the time response deviation between different control paths by combining the corresponding signal timestamps, and generates a synchronization control signal table.

[0011] Based on the synchronous control signal table, combined with the steam pressure regulation instruction set, the condensate path control instruction group, and the charging status judgment result, the system integration module checks the control link status between steam inlet, condensate drainage, power generation, and battery charging to obtain a steam-driven intelligent charging record.

[0012] As a further aspect of the present invention, the position of the analyzed vapor enthalpy value within the preset energy level range specifically refers to:

[0013] When the vapor enthalpy is greater than 1900 kJ / kg, it is determined to be in the high energy level range;

[0014] When the vapor enthalpy is between 1700 kJ / kg and 1900 kJ / kg, it is determined to be in the medium energy range.

[0015] When the vapor enthalpy is less than 1700 kJ / kg, it is determined to be in the low energy level range.

[0016] As a further aspect of the present invention, in the process of identifying battery saturation state and voltage over-extension state:

[0017] When the rate of change of voltage exceeds a preset first threshold and the difference in internal resistance changes exceeds a preset second threshold, the battery is identified as being in a saturated state.

[0018] When the rate of change of voltage exceeds the first threshold and the difference in internal resistance change is within the positive and negative preset internal resistance stability tolerance range, it is identified as a voltage false high state.

[0019] As a further embodiment of the present invention, the steam pressure regulation instruction set includes target opening parameters of the pressure reducing valve, on / off timing parameters of the steam inlet valve, enthalpy range matching information, and expected steam inlet pressure matching data. The condensate path control instruction group includes on / off control signals of the electrically controlled valve, pollutant cleanliness level data, path switching instruction parameters, and pollutant type identification results. The charging status judgment results include battery saturation status identifier, voltage overshoot status identifier, voltage gradient trend data, and internal resistance change amplitude data. The synchronous control signal table includes steam control signal timestamps, condensate control signal timestamps, charging regulation signal timestamps, and signal time response deviation data. The steam-driven intelligent charging record includes steam inlet control link status, condensate control link status, power generation control link status, and battery charging link status.

[0020] As a further aspect of the present invention, the enthalpy-pressure control module includes:

[0021] The steam enthalpy determination submodule acquires the steam enthalpy data in the steam inlet pipeline, compares the steam enthalpy with the set energy level range threshold, classifies the current steam enthalpy into the corresponding energy level range, and generates the steam enthalpy energy level range type.

[0022] The target pressure mapping submodule reads the preset steam inlet pressure target value matching the current load based on the steam enthalpy energy level range type, selects the corresponding item of the steam inlet pressure target value according to the set mapping relationship between the energy level range type and the load conditions, and generates the steam inlet pressure control target value.

[0023] The valve linkage control submodule calculates the difference between the current set steam pressure and the target value based on the target steam pressure control value, adjusts the target opening value of the pressure reducing valve, and controls the on / off time of the steam inlet valve. By performing flow compensation correction on the opening of the steam inlet valve, a steam pressure regulation instruction set is generated.

[0024] As a further aspect of the present invention, the pollution identification module includes:

[0025] The pollution sensing and acquisition submodule acquires the output results of the particulate matter sensor, oil film sensor and conductivity sensor at the front end of the hydrophobic pipeline, extracts the particle size data, oil film thickness data and conductivity value respectively, constructs the data field set corresponding to the pollutant type, and generates the pollutant characteristic parameter group;

[0026] The cleanliness level judgment submodule compares the particle size data with the particle contamination threshold, the oil film thickness data with the oil film contamination threshold, and the conductivity data with the conductivity contamination threshold according to the pollutant characteristic parameter group. Based on the comparison results, it determines the current particle contamination level, oil contamination level, and conductivity contamination level. It then combines the above three contamination levels to classify the contamination cleanliness level.

[0027] Based on the pollution cleanliness level, the hydrophobic path control submodule determines the range to which the level belongs, matches the set path switching threshold range, reads the corresponding electric valve action command, controls the on / off state switching of the electric valve, constructs the path on / off mapping sequence guided by different cleanliness levels, and generates a hydrophobic path control command group.

[0028] As a further aspect of the present invention, the battery monitoring module includes:

[0029] The voltage internal resistance extraction submodule acquires the voltage change sequence data of the charging record terminal, extracts the voltage value at adjacent time points and the internal resistance value in adjacent periods, calculates the difference between adjacent voltage values ​​and divides it by the corresponding time interval to obtain the voltage change rate value, calculates the difference between internal resistance values ​​in adjacent periods to obtain the internal resistance change difference value, and generates a voltage rate and internal resistance difference value pair.

[0030] The combination relationship determination submodule reads the preset first threshold and second threshold based on the voltage rate and internal resistance difference pair, compares the voltage change rate with the first threshold and simultaneously compares the internal resistance change difference with the second threshold and the internal resistance stability tolerance range, determines the combination between the voltage change trend and the internal resistance change amplitude, and obtains the voltage internal resistance determination combination type.

[0031] The charging status identification submodule matches the set status identification conditions based on the voltage internal resistance determination combination type. If the voltage change rate is greater than the first threshold and the internal resistance change difference is greater than the second threshold, it is marked as battery saturation state. If the voltage change rate is greater than the first threshold and the internal resistance change difference is within the positive and negative stability tolerance range, it is marked as voltage false high state. The module adds identification tags to the current charging process and generates charging status judgment results.

[0032] As a further aspect of the present invention, the signal coordination module includes:

[0033] The instruction time extraction submodule obtains the control instruction timestamps of the vehicle main control board, extracts the transmission time fields corresponding to the steam inlet valve control signal, pressure reducing valve control signal, charging regulation signal and electronic valve switching signal according to the signal type, constructs the timestamp sequence of the multi-channel control path, and generates a control path timestamp set.

[0034] The signal status reading submodule reads the signal transmission status record cache of each control path according to the control path timestamp set, reads the transmission status flags of steam inlet valve, pressure reducing valve, charging regulating unit and electric control valve item by item, performs time point mapping on each signal status field, and generates the current status set of control signals.

[0035] The time deviation correction submodule, based on the current state set of the control signal, compares the mapped time point with the timestamp entries of each corresponding path in the control path timestamp set, calculates the response time offset value between each control path, and uses the path with the smallest response time as the reference value to perform synchronization time compensation correction on all control path signals, generating a synchronization control signal table.

[0036] As a further aspect of the present invention, the system integration module includes:

[0037] The instruction set access submodule obtains the synchronous control signal table, combines the steam pressure regulation instruction set, the condensate path control instruction group and the charging status judgment result, aggregates each instruction and status result according to the control link classification, constructs the control data structure under the four paths of steam inlet, condensate drainage, power generation and battery charging, and generates the path control data set.

[0038] The link status verification submodule compares the signal entries in each control path with their corresponding instruction data to see if they have a synchronization identifier, establishes a matching verification record for each path control behavior, and generates a link status matching matrix based on the path control data set.

[0039] The drive record generation submodule classifies the path control items that have passed the synchronization verification based on the link state matching matrix. It summarizes the state association of the steam inlet control, condensate control, electric power generation and charging path control behaviors with complete linkage relationship, and constructs the charging process behavior trajectory under steam drive according to the time sequence to generate steam drive intelligent charging record.

[0040] The beneficial effects of the technical solutions provided by the embodiments of the present invention include at least the following:

[0041] By identifying the enthalpy of the incoming steam within a range and matching it with target pressure parameters, the valve opening and shut-off are dynamically controlled, improving the adaptability and regulation of low-quality heat energy. By collecting and comparing pollutant parameters in the condensate in real time, a cleanliness classification judgment standard and path switching control mode are established to achieve targeted condensate treatment and water quality protection. By monitoring the combination of voltage change rate and internal resistance difference, the battery state boundary is identified, enhancing the stability and identification accuracy of the charging process. By collecting timestamps of multiple control signals and uniformly correcting response deviations, multi-control path collaborative linkage and signal synchronous processing are achieved, constructing a closed-loop control link covering the entire process of steam intake, condensate drainage, power generation, and charging, significantly improving the overall energy efficiency and operational safety of the charging process.

[0042] The system utilizes a mobile, vehicle-mounted design to achieve rapid response and efficient utilization of low-value, dispersed steam sources within the plant area, improving energy recovery efficiency and reducing thermal pollution. It integrates intelligent steam intake control, condensate cleanliness assessment, and charging current compensation mechanisms to ensure stable power generation and safe charging even under fluctuating steam parameters and complex pollution conditions. Simultaneously, the integrated battery storage space supports rapid battery loading and unloading, making it suitable for mobile equipment charging and reducing the construction and space occupation of fixed charging facilities. Overall, it achieves a balance between clean energy conversion, resource recycling, and operational economics. This solution addresses the effective utilization of steam in certain factories and mines, such as thermal power plants, under specific operating conditions, improving energy efficiency and reducing energy-related environmental pollution. It also reduces the fixed space occupied by charging devices. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a schematic diagram of a steam-driven intelligent charging system provided in an embodiment of the present invention;

[0045] Figure 2 This is a schematic diagram of the system framework of the present invention;

[0046] Figure 3 This is a flowchart of the enthalpy and pressure control module of the present invention;

[0047] Figure 4 This is a flowchart of the pollution identification module of the present invention;

[0048] Figure 5 This is a flowchart of the battery monitoring module of the present invention;

[0049] Figure 6 This is a flowchart of the signal coordination module of the present invention;

[0050] Figure 7 This is a flowchart of the system integration module of the present invention. Detailed Implementation

[0051] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0052] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0053] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0054] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0055] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0056] This invention provides a steam-driven intelligent charging system, such as... Figure 1-2 The diagram shown illustrates a steam-driven intelligent charging system, which includes:

[0057] The enthalpy and pressure control module acquires the steam enthalpy data in the steam inlet pipeline, calculates the position of the current steam enthalpy in the preset energy level range (when the steam enthalpy is greater than 1900 kJ / kg, it is determined to be in the high energy level range; when the steam enthalpy is between 1700 kJ / kg and 1900 kJ / kg, it is determined to be in the medium energy level range; and when the steam enthalpy is less than 1700 kJ / kg, it is determined to be in the low energy level range), compares the correspondence between the current enthalpy range and the set steam inlet pressure target value under the matched load, adjusts the target opening degree of the pressure reducing valve, and controls the on / off time of the steam inlet valve in conjunction with the control (after determining that the steam enthalpy is 1650 kJ / kg and falls into the low energy level range, the control position of the pressure reducing valve is adjusted according to the target steam inlet pressure set value corresponding to the low energy level range, and at the same time, the flow compensation adjustment is performed on the opening degree of the steam inlet valve), and generates a steam pressure regulation instruction set.

[0058] The pollution identification module acquires the output results of the particulate matter sensor, oil film sensor and conductivity sensor in the condensate pipe section, compares the particle size, oil film thickness and conductivity value with the cleanliness threshold of the corresponding pollutant type, analyzes the cleanliness level of the pollutant type, and uses the cleanliness level as the basis for path diversion to switch the on / off state of the electric control valve and generate a condensate path control command group.

[0059] The battery monitoring module acquires voltage change sequence data from the charging record terminal, calculates the rate of change of voltage at adjacent time points and the difference in internal resistance change between adjacent periods, determines the combined relationship between the voltage gradient change trend and the internal resistance change amplitude, identifies the boundary conditions between battery saturation and voltage overshoot (when the rate of change of voltage is greater than a preset first threshold and the difference in internal resistance change is greater than a preset second threshold, it is identified as battery saturation; when the rate of change of voltage is greater than the first threshold and the difference in internal resistance change is within the positive and negative preset internal resistance stability tolerance range, it is identified as voltage overshoot), and generates a charging status judgment result.

[0060] The signal coordination module obtains the control command timestamps from the vehicle main control board, reads the current transmission status of the steam inlet valve control signal, pressure reducing valve control signal, charging regulation signal and electronic valve switching signal respectively, compares the corresponding signal timestamps and corrects the time response deviation between different control paths, and generates a synchronization control signal table.

[0061] The system integration module, based on the synchronous control signal table, combined with the steam pressure regulation instruction set, the condensate path control instruction group, and the charging status judgment results, checks the control link status between steam intake, condensate drainage, power generation, and battery charging, and compares and summarizes the data to obtain the steam-driven intelligent charging record.

[0062] The steam pressure regulation instruction set includes the target opening parameter of the pressure reducing valve, the on / off timing parameter of the steam inlet valve, the enthalpy range matching information, and the expected value matching data of the steam inlet pressure. The condensate path control instruction set includes the on / off control signal of the electrically controlled valve, the pollutant cleanliness level data, the path switching instruction parameter, and the pollutant type identification result. The charging status judgment result includes the battery saturation status indicator, the voltage false high status indicator, the voltage gradient trend data, and the internal resistance change amplitude data. The synchronous control signal table includes the steam control signal timestamp, the condensate control signal timestamp, the charging regulation signal timestamp, and the signal time response deviation data. The steam-driven intelligent charging record includes the steam inlet control link status, the condensate control link status, the power generation control link status, and the battery charging link status.

[0063] Specifically, such as Figure 2 , 3 As shown, the enthalpy and pressure control module includes:

[0064] The steam enthalpy determination submodule acquires the steam enthalpy data in the steam inlet pipeline, compares the steam enthalpy with the set energy level range threshold, sets 1900 as the high energy level range determination value, 1700 to 1900 as the medium energy level range determination value, and less than 1700 as the low energy level range determination value, classifies the current steam enthalpy value into the corresponding energy level range, and generates the steam enthalpy energy level range type;

[0065] The steam enthalpy determination submodule is equipped with a composite sensor group consisting of a high-precision thermocouple and a vortex flowmeter. This sensor group uses... The module monitors the temperature and pressure parameters in the steam inlet pipeline in real time at a millisecond sampling frequency. By consulting a pre-stored steam property table, it locates the corresponding specific enthalpy value based on the temperature and pressure values, thereby obtaining the steam enthalpy data within the steam inlet pipeline. This submodule integrates comparison logic circuitry and has pre-set specific energy level range thresholds. kJ / kg is the threshold value for the high-energy-level range, set as follows: kJ / kg to kJ / kg is the determination interval for the intermediate energy level; it is set to be less than... kJ / kg is the threshold value for the low energy level range. The submodule compares the collected real-time vapor enthalpy value with the above threshold. If the real-time enthalpy value is greater than or equal to... kJ / kg, the logic circuit outputs a high-energy level indicator; if the real-time enthalpy value is located at... kJ / kg and Output the energy level indicator if the real-time enthalpy value is between kJ / kg; if the real-time enthalpy value is less than kJ / kg... The output of kJ / kg indicates a low energy level, thereby classifying the current steam enthalpy value into the corresponding energy level range and generating a steam enthalpy energy level range type.

[0066] The target pressure mapping submodule reads the preset steam inlet pressure target value matching the current load based on the steam enthalpy energy level range type, selects the corresponding item of the steam inlet pressure target value according to the set mapping relationship between the energy level range type and the load conditions, and generates the steam inlet pressure control target value.

[0067] The target pressure mapping submodule communicates with the main control unit to read the current power generation load value in megawatts in real time. This submodule internally stores a two-dimensional mapping data table. The row index of this table is the energy level range type, the column index is the load value segment, and the table entry content is the preset inlet steam pressure target value. Based on the received steam enthalpy energy level range type, the submodule locks the corresponding row in the mapping table and, according to the current load conditions, locks the corresponding column. It reads the data item at the intersection of the row and column, selects the item corresponding to the inlet steam pressure target value, and generates the inlet steam pressure control target value. For example, when the energy level range type is identified as medium energy level and the current load is... In megawatt-hours, the submodule queries the corresponding position in the mapping table and extracts the target value of the inlet steam pressure. Megapascals.

[0068] The valve linkage control submodule calculates the difference between the current set steam pressure and the target value based on the target value of the steam pressure control. It also adjusts the target opening value of the pressure reducing valve based on the low energy level range to which the current steam enthalpy value of 1650 belongs, and controls the on / off time of the steam inlet valve. By performing flow compensation correction on the opening of the steam inlet valve, a steam pressure regulation instruction set is generated.

[0069] The valve linkage control submodule receives the target value for the inlet steam pressure control and connects to the pipeline pressure transmitter to read the currently set inlet steam pressure. The submodule's calculation unit performs a subtraction operation to calculate the difference between the currently set inlet steam pressure and the target value, obtaining the pressure deviation. Subsequently, the submodule retrieves stored flow characteristic curve data and combines it with the current steam enthalpy value... The submodule selects the corresponding low-energy-level flow correction coefficient based on the low-energy-level range condition corresponding to kJ / kg. It multiplies the pressure deviation by the flow correction coefficient to calculate the required valve opening adjustment, thereby adjusting the target opening value of the pressure reducing valve. Simultaneously, based on the polarity and absolute value of the pressure deviation, the submodule generates a pulse width modulation generator to control the on / off time signal of the steam inlet valve. Before generating the final command, the submodule performs a flow compensation correction operation, which involves reading the current steam velocity data, calculating the ratio of the velocity to the reference velocity, and multiplying this ratio as the compensation gain by the aforementioned valve opening adjustment to eliminate the influence of velocity fluctuations on pressure regulation. Finally, the corrected opening value and on / off time data are packaged to generate a steam pressure regulation command set.

[0070] Table 1. Example of mapping steam enthalpy to pressure target ; As shown in Table 1, the pressure target and correction factor are precisely matched based on the combination of energy level and load to ensure that work efficiency is maintained under low enthalpy conditions by increasing the pressure target and correction factor. For example, at a low energy level and with a load of Megawatts (located in) to When the range is reached, the target pressure is set to... MPa, correction factor is If the current inlet steam pressure is Megapascals, target value If the difference is in megapascals, then the value is Megapascals. The submodule will calculate the difference. MPa multiplied by flow correction factor The corrected adjustment amount is obtained as follows: The valve actuation range corresponding to megapascals is used to generate commands.

[0071] Specifically, such as Figure 2 , 4 As shown, the contamination identification module includes:

[0072] The pollution sensing and acquisition submodule acquires the output results of the particulate matter sensor, oil film sensor and conductivity sensor in the steam condensate pipeline section, extracts the particle size data, oil film thickness data and conductivity value respectively, constructs the data field set corresponding to the pollutant type, and generates the pollutant characteristic parameter group;

[0073] The pollution sensing and acquisition submodule is equipped with a laser particulate sensor based on light scattering, an oil film sensor based on ultraviolet fluorescence, and a contact electrode conductivity sensor. These sensors are installed at key upstream nodes of the hydrophobic pipeline to monitor physical and chemical impurities in the fluid. The particulate sensor measures the intensity of scattered light and outputs a particle size distribution histogram through an internal photoelectric conversion circuit. The submodule extracts characteristic particle size values ​​in micrometers. The oil film sensor emits ultraviolet light of a specific wavelength and receives fluorescence excited by oil substances, converting the fluorescence intensity into a corresponding oil film thickness value in micrometers. The conductivity sensor measures the solution resistance by applying an AC voltage and outputs a conductivity value in microsiemens per centimeter after temperature compensation. The submodule synchronizes the values ​​of the above three dimensions in time, extracts particle size data, oil film thickness data, and conductivity values ​​respectively, and encapsulates them according to a predefined data frame format to construct a set of data fields corresponding to the pollutant type, generating a pollutant characteristic parameter set.

[0074] The cleanliness level judgment submodule compares the particle size data with the particle contamination threshold, the oil film thickness data with the oil film contamination threshold, and the conductivity data with the conductivity contamination threshold based on the pollutant characteristic parameter group. Based on the comparison results, it determines the current particle contamination level, oil contamination level, and conductivity contamination level. It then combines the above three contamination levels to classify the cleanliness level and generates the contamination cleanliness level.

[0075] The cleanliness level determination submodule has pre-installed multi-stage comparator circuits and logic gate arrays. The submodule reads preset particulate contamination thresholds, oil film contamination thresholds, and conductivity contamination thresholds. For example, the particulate contamination threshold is set as the first-level threshold. micrometers, secondary threshold Micrometers; set the oil film contamination threshold as the first-level threshold. micrometers, secondary threshold Micrometers; set the conductivity contamination threshold as the first-level threshold. Micro Siemens per centimeter, secondary threshold The micro-Siemens per centimeter submodule compares particle size data with particulate contamination thresholds step by step. If the particle size is smaller than... Micrometers are classified as Level 1 cleanliness. to Micrometers are classified as secondary pollutants, while those larger than micrometers are classified as secondary pollutants. Micrometers represent Level 3 contamination. Similarly, oil film thickness data is compared with oil film contamination thresholds, and conductivity data is compared with conductivity contamination thresholds. Based on the comparison results, the current level of particulate contamination, oil contamination, and conductive contamination is determined. Subsequently, the submodule employs the "worst-case scenario" logic, taking the highest contamination level among the three independent levels as the final result, and combining the above three contamination levels to generate a contamination cleanliness level.

[0076] The hydrophobic path control submodule determines the level of cleanliness based on the pollution level, matches the set path switching threshold range, reads the corresponding electric valve action command, controls the on / off state switching of the electric valve, constructs the path on / off mapping sequence guided by different cleanliness levels, and generates a hydrophobic path control command group.

[0077] The hydrophobic path control submodule, based on the contamination cleanliness level, calls the path routing table in memory. This routing table defines the processing pipeline numbers corresponding to different cleanliness levels. After determining the range to which the level belongs, the submodule matches the set path switching threshold range. For example, when the cleanliness level is "Level 3 contamination," it matches the threshold range of "Heavily Contaminated Processing Loop." The submodule reads the corresponding electrically controlled valve action command for the range, which includes the solenoid drive signal encoding for the multi-way directional valve. The submodule outputs a voltage signal through the drive circuit to control the on / off state switching of the electrically controlled valve, such as closing the direct discharge valve and opening the side valve leading to the oil-water separator and precision filter. The submodule records this series of valve action sequences and their corresponding trigger levels, constructing a path on / off mapping sequence guided by different cleanliness levels, and generating a hydrophobic path control command set.

[0078] In this logic, if the particle size data collected by the pollution sensing acquisition submodule is Micrometers, oil film thickness data is micrometers, conductivity value Micro Siemens per centimeter. The cleanliness level determination submodule will... Micrometer and particle threshold ( micrometer, Based on a comparison of micrometers, it was determined to be a level two pollutant; Micrometers and oil film threshold ( micrometer, Based on a comparison of micrometers, it was determined to be a Level 1 cleanroom; Micro Siemens per centimeter and conductivity threshold ( Micro Siemens per centimeter, Comparing the levels (in micro-Siemens units per centimeter), the cleanliness level is determined to be Level 1. Considering all three levels (Level 2, Level 1, and Level 1), the submodule, based on the worst-case scenario principle, determines the final cleanliness level to be Level 2. The hydrophobic path control submodule then matches the path corresponding to Level 2 and generates instructions to switch the valves to the intermediate filtration pipeline.

[0079] Specifically, such as Figure 2 , 5 As shown, the battery monitoring module includes:

[0080] The voltage internal resistance extraction submodule acquires the voltage change sequence data of the charging record terminal, extracts the voltage value at adjacent time points and the internal resistance value in adjacent periods, calculates the difference between adjacent voltage values ​​and divides it by the corresponding time interval to obtain the voltage change rate value, calculates the difference between internal resistance values ​​in adjacent periods to obtain the internal resistance change difference value, and generates a voltage rate and internal resistance difference value pair.

[0081] The voltage internal resistance extraction submodule is connected to the data bus of the battery management system (BMS) to... The module continuously acquires the voltage change sequence data at the charging terminal with a sampling period of milliseconds. An internal sliding window buffer is configured to extract the voltage values ​​at adjacent time points (e.g., the current time). voltage Compared to the previous moment voltage ) and the internal resistance value within adjacent periods (e.g., period) internal resistance With period internal resistance The arithmetic logic unit within the submodule performs differential operations to calculate the difference between adjacent voltage values. minus And divide the difference by the corresponding time interval (i.e., the sampling period). The voltage change rate is obtained in volts per second. Simultaneously, the submodule calculates the difference in resistance between adjacent cycles (in seconds). minus The internal resistance change difference is obtained, in milliohms. The submodule associates the calculated rate with the difference according to the timestamp, generating voltage rate and internal resistance difference pairs.

[0082] The combination relationship determination submodule reads the preset first threshold and second threshold based on the voltage rate and internal resistance difference pair, compares the voltage change rate with the first threshold and simultaneously compares the internal resistance change difference with the second threshold and the internal resistance stability tolerance range, determines the combination between the voltage change trend and the internal resistance change amplitude, and obtains the voltage internal resistance determination combination type.

[0083] The combination relationship determination submodule reads a preset first threshold and a second threshold from the parameter register based on the voltage rate and internal resistance difference pair. The first threshold is set to... Volts per second, representing the voltage jump threshold; the second threshold is set to... milliohms represent the threshold for sudden changes in internal resistance; the internal resistance stability tolerance range is set to negative. milliohm positive The submodule compares the voltage change rate with a first threshold, and simultaneously compares the internal resistance change difference with a second threshold and the internal resistance stability tolerance range. The logic unit determines the combination of the voltage change trend (whether it exceeds the rate limit) and the internal resistance change magnitude (whether it exceeds the difference limit or is within the tolerance). For example, combination A is "rate exceeds limit and difference exceeds limit", and combination B is "rate exceeds limit and difference is within tolerance". Based on the specific comparison result, the submodule obtains the voltage-internal resistance combination type. This combination type determination is not only used for status monitoring, but also a key trigger for subsequently initiating the active charging control strategy.

[0084] The charging status identification submodule determines the combination type based on voltage and internal resistance, matches the set status identification conditions, and marks the battery as saturated if the voltage change rate is greater than the first threshold and the internal resistance change difference is greater than the second threshold. If the voltage change rate is greater than the first threshold and the internal resistance change difference is within the positive and negative stability tolerance range, it is marked as a voltage false high state. The module adds identification tags to the current charging process and generates a charging status judgment result.

[0085] The charging state recognition submodule determines the combination type based on voltage and internal resistance, calls the state machine logic, and matches the set state recognition conditions. If the determined combination type meets the condition of "voltage change rate greater than the first threshold and internal resistance change difference greater than the second threshold," it indicates that the internal polarization of the battery has intensified, and the submodule marks the battery as saturated. In this state, the protective charging control logic is activated, immediately issuing a command to limit the amplitude of the charging current to prevent further deterioration of the polarization effect. If the determined combination type meets the condition of "voltage change rate greater than the first threshold and internal resistance change difference greater than the second threshold," it indicates that the internal polarization of the battery has intensified, and the submodule marks the battery as saturated. In this state, the protective charging control logic is activated, immediately issuing a command to limit the amplitude of the charging current to prevent further deterioration of the polarization effect. The "stability tolerance range" indicates a voltage spike but no change in the internal resistance of the chemical reaction, and the submodule marks this as a voltage spike state. In this case, a "pulse-type" current injection is performed through the charging control algorithm to eliminate the influence of the spike voltage and calibrate the state of charge (SOC). The submodule writes the identified status code into the header of the current charging data frame, adds an identification tag to the current charging process, and generates a charging status judgment result.

[0086] Suppose that in a certain sampling, The voltage at time is volt, The voltage at time is Volts, time interval is Second;

[0087] Calculate the rate of voltage change: First, perform a subtraction operation ( reduce )get Volts, then perform division ( Divide by ), thus the voltage change rate is Volts per second;

[0088] Assumption The internal resistance of the period is milliohms The internal resistance of the period is milliohms;

[0089] Calculate the difference in internal resistance: Perform a subtraction operation ( reduce The difference in internal resistance was obtained as follows: milliohms;

[0090] Decision logic: Read the first threshold. Volts per second and the second threshold milliohms;

[0091] Comparison process: Rate of voltage change The difference in internal resistance is equal to the first threshold (satisfying the condition of being greater than or equal to). milliohms greater than the second threshold milliohms;

[0092] State recognition: When the combination of "high speed and large increase in internal resistance" is matched, it is determined that the battery has entered the saturation polarization stage, and thus a "battery saturation state" label is generated.

[0093] Specifically, such as Figure 2 , 6 As shown, the signal coordination module includes:

[0094] The instruction time extraction submodule obtains the timestamps of each control instruction, extracts the transmission time fields corresponding to the steam inlet valve control signal, pressure reducing valve control signal, charging regulation signal and electric valve switching signal according to the signal type, constructs the timestamp sequence of the multi-channel control path, and generates the control path timestamp set.

[0095] The instruction timing extraction submodule listens for broadcast messages from the main control board via the vehicle's Ethernet interface and parses the message header. The timestamp field is used to obtain the control command timestamp from the vehicle's main control board. The submodule has a built-in message filter that extracts the transmission time field corresponding to the steam inlet valve control signal, pressure reducing valve control signal, charging regulation signal, and electronically controlled valve switching signal, based on signal type. For example, it extracts the transmission time of the steam inlet valve signal. Pressure reducing valve signal transmission time Charging signal transmission time Valve switching signal transmission time The submodule indexes and arranges these discrete time points according to the signal source ID, constructs a timestamp sequence for the multi-channel control path, and generates a control path timestamp set.

[0096] The signal status reading submodule reads the signal transmission status record cache of each control path according to the control path timestamp set, reads the transmission status flags of steam inlet valve, pressure reducing valve, charging regulating unit and electric control valve item by item, performs time point mapping on each signal status field, and generates the current status set of control signals.

[0097] The signal status reading submodule accesses the vehicle gateway's real-time database based on the control path timestamp set, reading the signal transmission status record cache for each control path. This cache records the transmission acknowledgment (ACK) time and processing delay for each signal in the network node. The submodule reads the transmission status flags (such as "sent," "processing," and "executed") of the steam inlet valve, pressure reducing valve, charging regulating unit, and electronically controlled valve item by item. The submodule maps each signal status field to a time point in the timestamp set, for example, confirming the signal at time point... The incoming steam valve signal is in It is executed every millisecond, generating the current state set of control signals.

[0098] The time deviation correction submodule compares the mapped time point with the timestamp item of each corresponding path in the control path timestamp set based on the current state set of the control signal, calculates the response time offset between each control path, and performs synchronization time compensation correction on all control path signals with the path with the smallest response time as the benchmark value, generating a synchronization control signal table.

[0099] The time deviation correction submodule performs synchronization analysis based on the current state set of the control signals. The submodule compares the mapped time point with the timestamp entries of each corresponding path in the control path timestamp set, calculating the response time offset between each control path. Assuming the steam inlet valve path response time is... The charging adjustment path response time is milliseconds. The response time of the hydrophobic valve path is milliseconds. Milliseconds. The submodule compares the above response times and identifies the path with the shortest response time as the steam inlet valve path. (milliseconds), which is set as the baseline value. Subsequently, the submodule calculates the lag of other paths relative to the baseline value: charging path lag... millisecond( reduce ), hydrophobic path lag millisecond( reduce To ensure precise coordination between charging control commands and mechanical actions, the submodule performs synchronization time compensation correction on all control path signals, that is, it artificially adds a time increment when sending the steam inlet valve signal. Millisecond delay is added when sending hydrophobic signals. A millisecond delay is used to align the slowest charging path, ensuring that all actions take effect at the same time, and generating a synchronized control signal table.

[0100] Specifically, such as Figure 2 , 7 As shown, the system integration module includes:

[0101] The instruction set access submodule obtains the synchronous control signal table, combines the steam pressure regulation instruction set, the condensate path control instruction group and the charging status judgment result, aggregates each instruction and status result according to the control link classification, constructs the control data structure under the four paths of steam inlet, condensate drainage, power generation and battery charging, and generates the path control data set.

[0102] The instruction set access submodule is configured with a multi-channel data bus interface, which connects to the outputs of the aforementioned modules. The submodule acquires the synchronous control signal table and extracts the steam pressure regulation instruction set (including valve opening and time), the condensate path control instruction set (including flow path switching status), and the charging status judgment result (including battery status label) from the corresponding register addresses. Based on this, the submodule further integrates a real-time current regulation instruction generated based on the charging control strategy. This instruction defines the specific current derating range and the constant voltage charging entry point according to the aforementioned "battery saturation" or "voltage overshoot" status. The submodule has a built-in data aggregation engine that aggregates various instructions and status results according to control link classification. It packages the pressure regulation, water path switching, power generation, and charging status data under the same time slice to construct a control data structure for the four paths of steam inlet, condensate drainage, power generation, and battery charging, generating a path control data set.

[0103] The link status verification submodule compares the signal entries in each control path with their corresponding command data to see if they have synchronization identifiers, establishes matching verification records for each path control behavior, and generates a link status matching matrix based on the path control data set.

[0104] The link status verification submodule initiates an integrity verification program based on the path control data set. The submodule iterates through each data packet in the set, comparing the signal entries in each control path with their corresponding instruction data to see if they possess a synchronization identifier (such as a unified global sequence number UUID). If the sequence number of the steam intake instruction is... Then check if there are identical serial numbers in the hydrophobic, power generation, and charging data. Specifically, the submodule will focus on verifying the validity of charging control commands, confirming whether the current adjustment command has been successfully mapped to the corresponding battery status label, to prevent charging safety accidents caused by the loss of control commands. The submodule establishes a matching verification record for each path control behavior, marking those that pass verification as "valid" and those that fail verification as "discarded" or "retransmitted", recording the status of each node in matrix form to generate a link status matching matrix.

[0105] The drive record generation submodule classifies the path control items that have passed synchronous verification based on the link state matching matrix. It summarizes the state association of the steam inlet control, condensate control, power generation and charging path control behaviors with complete linkage, and constructs the charging process behavior trajectory under steam drive according to the time sequence to generate steam drive intelligent charging record.

[0106] The drive record generation submodule extracts all record rows marked as "valid" based on the link state matching matrix. The submodule categorizes path control items that have passed synchronous verification, and summarizes the state associations of steam intake control (e.g., pressure regulation), condensate control (e.g., sewage discharge), electronic power generation (e.g., turbine speed), and charging path control behaviors (e.g., current adjustment) with complete linkage relationships according to the timeline. This summarization process not only records passive monitoring data but also comprehensively traces the execution process of the active charging control strategy, for example, recording "the current is triggered due to the detection of saturation state..." Ampere drops to The submodule controls the "Ampere" control event. It connects these discrete action points into a continuous operation curve, constructs the charging process behavior trajectory under steam drive according to the time sequence, and serializes and stores the trajectory data as an immutable log file to generate a steam drive intelligent charging record.

[0107] Table 2 Examples of Integrated Data Structures ; As shown in Table 2, when processing data, the drive record generation submodule identified that all data (steam inlet, condensate drain, charging) for serial number SN-20251230-01 had synchronization identifiers and complete status. In particular, the charging path control clearly recorded the active control behavior of "triggering constant pressure current limiting mode". Therefore, it was marked as "valid" in the link status matching matrix and recorded in the final charging record. For serial number SN-20251230-03, due to the loss of condensate drain control path data, the verification status was "invalid". This record will be removed or an abnormal alarm will be triggered to ensure that the generated steam-driven intelligent charging record only contains complete and reliable full-link linkage data.

[0108] 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 variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of protection of the described technical solutions.

Claims

1. A steam-driven intelligent charging system, characterized in that, include: The enthalpy and pressure control module acquires the steam enthalpy data of the steam inlet pipeline, analyzes the position of the steam enthalpy value in the preset energy level range, dynamically adjusts the target opening degree of the pressure reducing valve and controls the on and off time of the steam inlet valve in conjunction with the control module, and generates a steam pressure regulation instruction set. The contamination identification module acquires the particle size, oil film thickness and conductivity value of the steam condensate pipe section, analyzes the cleanliness level of the contaminant type, dynamically switches the on / off state of the electrically controlled valve, and generates a group of condensate path control instructions. The battery monitoring module acquires voltage change sequence data from the charging record terminal, calculates the voltage change rate and internal resistance change difference, identifies the battery saturation state and the voltage over-extension state, and generates a charging state judgment result. The signal coordination module obtains the timestamp of the control command from the vehicle main control board, reads the current transmission status of the pressure reducing valve control signal, the charging adjustment signal and the electronic control valve switching signal respectively, and corrects the time response deviation between different control paths by combining the corresponding signal timestamps, and generates a synchronization control signal table. Based on the synchronous control signal table, the system integration module, combined with the steam pressure regulation instruction set, the condensate path control instruction group, and the charging status judgment result, checks the control link status between steam inlet, condensate drainage, power generation, and battery charging to obtain a steam-driven intelligent charging record. The enthalpy and pressure control module includes: The steam enthalpy determination submodule acquires the steam enthalpy data in the steam inlet pipeline, compares the steam enthalpy with the set energy level range threshold, classifies the current steam enthalpy into the corresponding energy level range, and generates the steam enthalpy energy level range type. The target pressure mapping submodule reads the preset steam inlet pressure target value matching the current load based on the steam enthalpy energy level range type, selects the corresponding item of the steam inlet pressure target value according to the set mapping relationship between the energy level range type and the load conditions, and generates the steam inlet pressure control target value. The valve linkage control submodule calculates the difference between the current set steam pressure and the target value based on the target steam pressure control value, adjusts the target opening value of the pressure reducing valve, and controls the on / off time of the steam inlet valve. By performing flow compensation correction on the opening of the steam inlet valve, a steam pressure regulation instruction set is generated.

2. The steam-driven intelligent charging system according to claim 1, characterized in that, The specific position of the analyzed vapor enthalpy value within the preset energy level range refers to: When the vapor enthalpy is greater than 1900 kJ / kg, it is determined to be in the high energy level range; When the vapor enthalpy is greater than or equal to 1700 kJ / kg and less than 1900 kJ / kg, it is determined to be in the medium energy range; When the vapor enthalpy is less than 1700 kJ / kg, it is determined to be in the low energy level range.

3. The steam-driven intelligent charging system according to claim 1, characterized in that, During the process of identifying battery saturation and voltage over-extension: When the rate of change of voltage exceeds a preset first threshold and the difference in internal resistance changes exceeds a preset second threshold, the battery is identified as being in a saturated state. When the rate of change of voltage exceeds the first threshold and the difference in internal resistance change is within the positive and negative preset internal resistance stability tolerance range, it is identified as a voltage false high state.

4. The steam-driven intelligent charging system according to claim 1, characterized in that: The steam pressure regulation instruction set includes the target opening parameter of the pressure reducing valve, the on / off timing parameter of the steam inlet valve, the enthalpy range matching information, and the expected value matching data of the steam inlet pressure. The condensate path control instruction group includes the on / off control signal of the electrically controlled valve, the pollutant cleanliness level data, the path switching instruction parameter, and the pollutant type identification result. The charging status judgment result includes the battery saturation status indicator, the voltage false high status indicator, the voltage gradient trend data, and the internal resistance change amplitude data. The synchronous control signal table includes the steam control signal timestamp, the condensate control signal timestamp, the charging regulation signal timestamp, and the signal time response deviation data. The steam-driven intelligent charging record includes the steam inlet control link status, the condensate control link status, the power generation control link status, and the battery charging link status.

5. The steam-driven intelligent charging system according to claim 1, characterized in that, The contamination identification module includes: The pollution sensing and acquisition submodule acquires the output results of the particulate matter sensor, oil film sensor and conductivity sensor in the hydrophobic pipe section, extracts the particle size data, oil film thickness data and conductivity value respectively, constructs the data field set corresponding to the pollutant type, and generates the pollutant characteristic parameter group; The cleanliness level judgment submodule compares the particle size data with the preset particle contamination threshold, the oil film thickness data with the preset oil film contamination threshold, and the conductivity data with the preset conductivity contamination threshold according to the pollutant characteristic parameter group. Based on the comparison results, it determines the current particle contamination level, oil contamination level, and conductivity contamination level. It then comprehensively classifies the current particle contamination level, oil contamination level, and conductivity contamination level to generate a pollution cleanliness level. Based on the pollution cleanliness level, the hydrophobic path control submodule determines the range to which the level belongs, matches the set path switching threshold range, reads the corresponding electric valve action command, controls the on / off state switching of the electric valve, constructs the path on / off mapping sequence guided by different cleanliness levels, and generates a hydrophobic path control command group.

6. The steam-driven intelligent charging system according to claim 1, characterized in that, The battery monitoring module includes: The voltage internal resistance extraction submodule acquires the voltage change sequence data of the charging record terminal, extracts the voltage value at adjacent time points and the internal resistance value in adjacent periods, calculates the difference between adjacent voltage values ​​and divides it by the corresponding time interval to obtain the voltage change rate value, calculates the difference between internal resistance values ​​in adjacent periods to obtain the internal resistance change difference value, and generates a voltage rate and internal resistance difference value pair. The combination relationship determination submodule reads the preset first threshold and second threshold based on the voltage rate and internal resistance difference pair, compares the voltage change rate with the first threshold and simultaneously compares the internal resistance change difference with the second threshold and the internal resistance stability tolerance range, determines the combination between the voltage change trend and the internal resistance change amplitude, and obtains the voltage internal resistance determination combination type. The charging status identification submodule matches the set status identification conditions based on the voltage internal resistance determination combination type. If the voltage change rate is greater than the first threshold and the internal resistance change difference is greater than the second threshold, it is marked as battery saturation state. If the voltage change rate is greater than the first threshold and the internal resistance change difference is within the positive and negative stability tolerance range, it is marked as voltage false high state. The module adds identification tags to the current charging process and generates charging status judgment results.

7. The steam-driven intelligent charging system according to claim 1, characterized in that, The signal coordination module includes: The instruction time extraction submodule obtains the control instruction timestamps of the vehicle main control board, extracts the transmission time fields corresponding to the steam inlet valve control signal, pressure reducing valve control signal, charging regulation signal and electronic valve switching signal according to the signal type, constructs the timestamp sequence of the multi-channel control path, and generates a control path timestamp set. The signal status reading submodule reads the signal transmission status record cache of each control path according to the control path timestamp set, reads the transmission status flags of steam inlet valve, pressure reducing valve, charging regulating unit and electric control valve item by item, performs time point mapping on each signal status field, and generates the current status set of control signals. The time deviation correction submodule, based on the current state set of the control signal, compares the mapped time point with the timestamp entries of each corresponding path in the control path timestamp set, calculates the response time offset value between each control path, and uses the path with the smallest response time as the reference value to perform synchronization time compensation correction on all control path signals, generating a synchronization control signal table.

8. The steam-driven intelligent charging system according to claim 1, characterized in that, The system integration module includes: The instruction set access submodule obtains the synchronous control signal table, combines the steam pressure regulation instruction set, the condensate path control instruction group and the charging status judgment result, aggregates each instruction and status result according to the control link classification, constructs the control data structure under the four paths of steam inlet, condensate drainage, power generation and battery charging, and generates the path control data set. The link status verification submodule compares the signal entries in each control path with their corresponding instruction data to see if they have a synchronization identifier, establishes a matching verification record for each path control behavior, and generates a link status matching matrix based on the path control data set. The drive record generation submodule classifies the path control items that have passed the synchronization verification based on the link state matching matrix, summarizes the state association of the steam inlet control, condensate control, power generation and charging path control behaviors with complete linkage relationship, constructs the charging process behavior trajectory under steam drive according to the time sequence, and generates steam drive intelligent charging record.

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