Hydrogen-ammonia dual-fuel internal combustion engine power generation system and control method

Abstract

The present application relates to the internal combustion engine power generation technical field, especially to a kind of hydrogen ammonia dual-fuel internal combustion engine power generation system and control method;Hydrogen ammonia dual-fuel internal combustion engine power generation system is configured with hydrogen ammonia dual-fuel internal combustion engine, hydrogen ammonia dual-fuel internal combustion engine includes hydrogen ammonia fuel storage supply module, combustion synergic control module, exhaust turbocharging intercooling module, waste heat recovery conversion module, intelligent parameter adaptation module and power output integration module.Intelligent parameter adaptation module is configured to be used to execute the control method of hydrogen ammonia dual-fuel internal combustion engine power generation system, to adjust fuel mixing ratio, adjust turbine bypass valve opening and intake boost pressure, waste heat distribution ratio and the like.Through such mode, it solves the technical problem that existing hydrogen ammonia dual-fuel internal combustion engine power generation system control technology exists power generation efficiency insufficiently in high penetration rate hydrogen ammonia application scene, improves the operation stability of power generation system, fuel utilization efficiency and overall energy conversion efficiency.

Description

Technical Field

[0001] This invention relates to the field of internal combustion engine power generation technology, and in particular to a hydrogen-ammonia dual-fuel internal combustion engine power generation system and control method. Background Technology

[0002] With the global energy structure transformation and increasingly stringent environmental requirements, internal combustion engine power generation, as an important form of distributed energy supply, has seen its fuel efficiency and emission control levels become a core focus of the industry. Traditional single-fuel internal combustion engine power generation systems face the problem of insufficient adaptability between fuel characteristics and combustion demands in actual operation, making it difficult to simultaneously achieve high-efficiency power generation and low-carbon emission goals. Hydrogen fuel has the characteristics of high combustion rate and wide flammability limit, but its energy density is low and its storage and transportation costs are high; ammonia fuel has the advantages of high energy density and low carbon emissions, but it has inherent defects such as difficulty in ignition and incomplete combustion. The complementary application of these two fuels has become an important direction for overcoming the technological bottlenecks of internal combustion engine power generation. Therefore, hydrogen-ammonia dual-fuel internal combustion engine power generation systems have become a key focus of industry research and development, and the optimized design of its efficiency improvement methods is crucial for promoting the large-scale application of this technology.

[0003] In the field of dual-fuel internal combustion engine technology, existing technologies have established a certain foundation. Control methods based on fixed-ratio fuel mixing are widely used in various dual-fuel systems due to their simplicity and ease of implementation. Currently, to address fuel compatibility challenges, some research has begun to introduce multiphase flow supply strategies to improve the combustion process. Prior art document 1 (application publication number CN114165341A) discloses an ammonia-diesel dual-fuel power system and control method based on two-phase flow ammonia supply. It attempts to improve combustion stability and efficiency by supplying liquid and gaseous ammonia in a two-phase flow manner, combined with a diesel ignition mechanism. However, this method mainly targets ammonia-diesel fuel combinations, and its optimization objective focuses more on the gasification and mixing control of ammonia fuel, failing to fully consider the dynamic balance requirements between the high reactivity of hydrogen fuel and the inert characteristics of ammonia fuel in a hydrogen-ammonia dual-fuel scenario. Specifically, existing technologies suffer from two prominent problems: First, the lack of a precise coordination mechanism for fuel mixing and combustion control, employing only a fixed ratio of hydrogen-ammonia fuel without dynamically adjusting the mixing ratio based on the real-time operating conditions of the internal combustion engine. Furthermore, insufficient adaptation of combustion parameters such as ignition advance angle and injection pressure to fuel characteristics leads to low homogeneity in the combustion process and incomplete combustion under certain conditions, hindering the improvement of power generation efficiency. Second, the integration of energy recovery and system control is insufficient. The application of exhaust gas turbocharging and intercooling technology is not effectively linked with the waste heat recovery system, resulting in low recovery and utilization rates of cylinder liner cooling water waste heat and exhaust waste heat. Simultaneously, the lack of a closed-loop intelligent control strategy based on multi-module operating data makes it difficult to cope with the impact of load fluctuations and changes in fuel composition, leading to poor system stability and overall energy efficiency. These intertwined problems result in insufficient power generation efficiency improvement in existing dual-fuel internal combustion engine power generation technologies in high-penetration hydrogen-ammonia application scenarios. Summary of the Invention

[0004] To address the aforementioned shortcomings or drawbacks, this invention provides a hydrogen-ammonia dual-fuel internal combustion engine power generation system and control method, which can solve the technical problem of insufficient power generation efficiency improvement in existing hydrogen-ammonia dual-fuel internal combustion engine power generation system control technologies under high-penetration hydrogen-ammonia application scenarios.

[0005] This invention provides a hydrogen-ammonia dual-fuel internal combustion engine power generation system, which is equipped with a hydrogen-ammonia dual-fuel internal combustion engine. The hydrogen-ammonia dual-fuel internal combustion engine includes a hydrogen-ammonia fuel storage and supply module, a combustion coordination and control module, an exhaust gas turbocharging and intercooling module, a waste heat recovery and conversion module, an intelligent parameter adaptation module, and a power output integration module.

[0006] The hydrogen-ammonia fuel storage and supply module is connected to the combustion coordination and control module via a fuel delivery pipeline.

[0007] The combustion coordination and control module is connected to the cylinder block of the hydrogen-ammonia dual-fuel internal combustion engine and is connected to the combustion chamber of the hydrogen-ammonia dual-fuel internal combustion engine through the fuel injection pipeline.

[0008] The exhaust gas turbocharger intercooler module is located between the exhaust passage and the intake passage of the hydrogen-ammonia dual-fuel internal combustion engine. The turbine input end of the exhaust gas turbocharger intercooler module is connected to the exhaust passage, and the compressor output end of the exhaust gas turbocharger intercooler module is connected to the intake passage.

[0009] The waste heat recovery and conversion module is connected to the cylinder liner cooling system of the hydrogen-ammonia dual-fuel internal combustion engine through the first heat exchange pipeline, and to the exhaust passage through the second heat exchange pipeline.

[0010] The power output integration module is connected to the crankshaft of the hydrogen-ammonia dual-fuel internal combustion engine via a coupling.

[0011] The intelligent parameter adaptation module is connected to the hydrogen-ammonia fuel storage and supply module, the combustion coordination and control module, the exhaust gas turbocharger and intercooler module, the waste heat recovery and conversion module, and the power output integration module through sensing lines.

[0012] According to a second aspect, this invention provides a control method for a hydrogen-ammonia dual-fuel internal combustion engine power generation system. This method, based on the hydrogen-ammonia dual-fuel internal combustion engine power generation system described above, is applied to an intelligent parameter adaptation module and includes: The hydrogen and ammonia fuel output parameters of the hydrogen-ammonia dual-fuel internal combustion engine are obtained through the hydrogen-ammonia fuel storage and supply module, and a mixing ratio adjustment command is generated based on the hydrogen and ammonia fuel output parameters.

[0013] The mixing ratio adjustment command is input into the hydrogen-ammonia fuel storage and supply module to adjust the fuel mixing ratio of the hydrogen-ammonia dual-fuel internal combustion engine.

[0014] Based on the real-time operating data of the hydrogen-ammonia dual-fuel internal combustion engine, a coordinated control command is generated and input into the combustion coordinated regulation module to adjust the fuel injection pressure, injection duration, and ignition advance angle.

[0015] The boost control command is generated based on the exhaust parameters of the exhaust passage and then input into the exhaust gas turbocharger intercooler module to adjust the turbine bypass valve opening and the intake boost pressure.

[0016] The waste heat recovery control command is generated based on the waste heat parameters of the cylinder liner cooling system and exhaust passage, and then input into the waste heat recovery conversion module to adjust the waste heat distribution ratio.

[0017] Based on the power output parameters of the power output integration module, a power adjustment command is generated and input into the power output integration module to adjust the output voltage and frequency.

[0018] According to a third aspect, the present invention provides a computer device comprising: At least one processor; and a memory communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor, which are executed by the at least one processor to enable the at least one processor to execute any of the hydrogen-ammonia dual-fuel internal combustion engine power generation system control methods in the embodiments of the present invention.

[0019] According to another aspect of the present invention, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to cause a computer to execute any of the hydrogen-ammonia dual-fuel internal combustion engine power generation system control methods in the embodiments of the present invention.

[0020] The present invention provides a hydrogen-ammonia dual-fuel internal combustion engine power generation system, which is realized through the coordinated connection and integration of six core modules: a hydrogen-ammonia fuel storage and supply module, a combustion coordination and control module, an exhaust gas turbocharging and intercooling module, a waste heat recovery and conversion module, an intelligent parameter adaptation module, and a power output integration module. The system comprises the following modules: a hydrogen-ammonia fuel storage and supply module connected to the combustion coordination and control module via a fuel delivery pipeline for mixing and delivering hydrogen and ammonia fuels; a combustion coordination and control module connected to the cylinder block of the hydrogen-ammonia dual-fuel internal combustion engine and connected to the combustion chamber via a fuel injection pipeline for performing fuel injection and ignition control; an exhaust gas turbocharger intercooler module located between the exhaust and intake channels, with its turbine input connected to the exhaust channel and its compressor output connected to the intake channel for recovering exhaust kinetic energy and pressurizing and cooling the intake air; a waste heat recovery and conversion module connected to the cylinder liner cooling system via a first heat exchange pipeline and to the exhaust channel via a second heat exchange pipeline for simultaneously recovering waste heat from the cylinder liner cooling water and exhaust for energy conversion; a power output integration module connected to the internal combustion engine crankshaft via a coupling for converting mechanical energy into electrical energy and regulating the output; and an intelligent parameter adaptation module connected to each of the above modules via sensor lines for collecting system operating data and achieving closed-loop control of the operating parameters of each module.

[0021] In this technical solution, the present invention addresses the problem of the lack of precise coordination mechanism for fuel mixing and combustion control mentioned in the background technology. By connecting the hydrogen-ammonia fuel storage and supply module with the combustion coordination and control module through pipelines, and combining the closed-loop control of the intelligent parameter adaptation module, it achieves dynamic and precise adjustment of the hydrogen-ammonia fuel mixing ratio and real-time coordinated optimization of injection parameters and ignition parameters. This solves the defects of incomplete combustion and low power generation efficiency caused by the use of fixed mixing ratios and insufficient parameter adaptation in the prior art. Addressing the problem of insufficient integration of energy recovery and system control, the invention utilizes the exhaust gas turbocharger intercooler module to recover and utilize exhaust kinetic energy, and the waste heat recovery and conversion module to simultaneously collect cylinder liner cooling water and exhaust waste heat. Furthermore, relying on the intelligent parameter adaptation module, it achieves linkage control of each energy recovery unit and the system operating status, constructing an integrated energy management architecture of multi-source waste heat recovery and intelligent system control. This solves the drawbacks of low energy recovery utilization rate and poor overall system energy efficiency in traditional technologies. Therefore, the technical solution of the present invention solves the technical problem that the existing hydrogen-ammonia dual-fuel internal combustion engine power generation system control technology has insufficient power generation efficiency in high-penetration hydrogen-ammonia application scenarios, and improves the operational stability, fuel utilization efficiency and overall energy conversion efficiency of the power generation system. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the specific architecture of a hydrogen-ammonia dual-fuel internal combustion engine power generation system according to an embodiment of the present invention; Figure 2 This is a flowchart of a control method for a hydrogen-ammonia dual-fuel internal combustion engine power generation system according to an embodiment of the present invention; Figure 3 This is a block diagram of a computer device for implementing embodiments of the present invention. Detailed Implementation

[0023] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of the present invention, including various details to aid understanding. These details should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope of the invention. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0024] During the research and development of this invention, the inventors, through extensive experiments and data analysis, revealed the intrinsic relationship between the high combustion rate characteristics of hydrogen fuel and the high energy density characteristics of ammonia fuel: hydrogen fuel can compensate for the difficulty in igniting ammonia fuel, while ammonia fuel can overcome the low energy density of hydrogen fuel, thus forming a complementary combustion characteristic. Simultaneously, it was discovered that the coordinated regulation of each energy recovery module and combustion control module has a multiplier effect on improving the overall system efficiency. Based on this discovery, the inventors innovatively proposed this technical solution, the core of which lies in constructing a coordinated operating system with complementary hydrogen and ammonia fuel characteristics. This system forms a closed-loop control system through the physical connection and signal interaction of six functional modules; and through the dynamic regulation of the intelligent parameter adaptation module, combined with multi-dimensional acquisition and processing of real-time operating data, the global optimization of system operating parameters is achieved. This solution embodies the core inventive concept of a three-in-one approach: "complementary fuel characteristics - cascaded energy utilization - intelligent closed-loop regulation."

[0025] Specifically, through systematic testing and verification, the invention team discovered three major technical defects in traditional solutions: incomplete combustion due to fixed fuel mixing ratios, low waste heat utilization due to independent operation of the energy recovery system, and insufficient system stability caused by a lack of coordination among modules. This invention, through modular integrated design, utilizes the pipeline connection between the hydrogen-ammonia fuel storage and supply module and the combustion coordination and control module to achieve dynamic and precise fuel mixing; and through the parallel layout of the exhaust gas turbocharger intercooling module and the waste heat recovery conversion module, combined with cross-module data fusion processing by the intelligent parameter adaptation module, it improves the energy cascade utilization efficiency (reaching 1.8 times that of traditional solutions), achieves stable operation of the power generation system under variable load conditions (voltage fluctuations controlled within ±2%), and solves the technical bottleneck of balancing power generation efficiency and operational stability in high-penetration hydrogen-ammonia fuel scenarios.

[0026] Therefore, according to the first aspect, the present invention provides a hydrogen-ammonia dual-fuel internal combustion engine power generation system, which is equipped with a hydrogen-ammonia dual-fuel internal combustion engine. The hydrogen-ammonia dual-fuel internal combustion engine includes a hydrogen-ammonia fuel storage and supply module, a combustion coordination and control module, an exhaust gas turbocharging and intercooling module, a waste heat recovery and conversion module, an intelligent parameter adaptation module, and a power output integration module.

[0027] Among them, the hydrogen-ammonia dual-fuel internal combustion engine refers to an internal combustion engine device that uses hydrogen fuel and ammonia fuel as a mixed energy source, optimizing the combustion process through the complementary characteristics of dual fuels; the hydrogen-ammonia fuel storage and supply module refers to a functional unit used to store hydrogen fuel and ammonia fuel and control their delivery flow; the combustion coordination and control module refers to a control component that dynamically adjusts fuel injection and ignition parameters based on the internal combustion engine's operating status; the exhaust gas turbocharger intercooler module refers to an energy recovery device that uses the exhaust kinetic energy of the internal combustion engine to drive the turbine to boost and cool the intake air; the waste heat recovery and conversion module refers to a subsystem that collects the cylinder liner cooling water and exhaust waste heat of the internal combustion engine and converts them into energy; the intelligent parameter adaptation module refers to an intelligent control unit that collects data through sensors and adjusts the operating parameters of each module in real time; and the power output integration module refers to a power processing component that converts the mechanical energy of the internal combustion engine into electrical energy and outputs it stably.

[0028] Specifically, the system achieves coordinated operation of fuel supply, combustion control, energy recovery, and electrical output through modular integration. For example, the hydrogen-ammonia dual-fuel internal combustion engine can dynamically adjust the hydrogen volume fraction between 5% and 30% under rated operating conditions to adapt to different load demands.

[0029] The hydrogen-ammonia fuel storage and supply module is connected to the combustion coordination and control module via a fuel delivery pipeline.

[0030] Among them, the fuel delivery pipeline refers to the pipeline structure used to transport mixed fuels, which is usually made of stainless steel to ensure sealing and corrosion resistance; the hydrogen-ammonia fuel storage and supply module includes a high-pressure hydrogen fuel storage tank and an atmospheric pressure ammonia fuel storage tank, and the delivery flow is regulated by flow control valves.

[0031] Specifically, this module uses a static mixer to uniformly mix hydrogen and ammonia fuels, achieving a mixing uniformity of over 98%. For example, the hydrogen fuel storage tank is designed to withstand a pressure of 35 MPa, while the ammonia fuel storage tank uses an insulation structure to maintain a temperature between -5°C and 10°C. The fuel delivery pipeline has an inner diameter of 50 mm, a wall thickness of 8 mm, and is externally wrapped with a 50 mm thick rock wool insulation layer.

[0032] The combustion coordination and control module is connected to the cylinder block of the hydrogen-ammonia dual-fuel internal combustion engine and is connected to the combustion chamber of the hydrogen-ammonia dual-fuel internal combustion engine through the fuel injection pipeline.

[0033] Among them, fuel injection pipeline refers to the special pipeline that delivers the mixed fuel to the combustion chamber; cylinder block refers to the main structure of internal combustion engine, including cylinder and piston assembly; combustion chamber refers to the cylinder space in which fuel is burned.

[0034] Specifically, the module uses electromagnetic actuators to adjust fuel injection pressure, injection duration, and injection angle to ensure uniform fuel atomization. For example, the fuel injection pressure can be adjusted from 10 MPa to 25 MPa, the injection duration accuracy is on the order of 0.1 milliseconds, the injection angle adjustment range is from 0 degrees to 15 degrees, and the fuel atomized particle size does not exceed 50 micrometers.

[0035] The exhaust gas turbocharger intercooler module is located between the exhaust passage and the intake passage of the hydrogen-ammonia dual-fuel internal combustion engine. The turbine input end of the exhaust gas turbocharger intercooler module is connected to the exhaust passage, and the compressor output end of the exhaust gas turbocharger intercooler module is connected to the intake passage.

[0036] Among them, the exhaust passage refers to the flow path through which the internal combustion engine discharges exhaust gas; the intake passage refers to the flow path through which air enters the internal combustion engine; the turbine input end refers to the interface through which the turbine receives exhaust kinetic energy; and the compressor output end refers to the interface through which the compressor outputs compressed air.

[0037] Specifically, this module recovers exhaust kinetic energy through a radial turbine to drive a compressor to compress the intake air, and reduces the intake air temperature through an intercooler. For example, the turbine impeller diameter is 180 mm, the number of blades is 12, the turbine speed range is 10,000 rpm to 150,000 rpm, the compressor impeller diameter is 160 mm, the intake pressure is increased from ambient pressure to 0.2 MPa to 0.4 MPa, and the intercooler adopts a shell-and-tube water-cooled structure with a heat exchange area of ​​5 square meters, reducing the intake air temperature from 120 degrees Celsius to 180 degrees Celsius to 40 degrees Celsius to 60 degrees Celsius.

[0038] The waste heat recovery and conversion module is connected to the cylinder liner cooling system of the hydrogen-ammonia dual-fuel internal combustion engine through the first heat exchange pipeline, and to the exhaust passage through the second heat exchange pipeline.

[0039] The first heat exchange pipeline refers to the heat exchange pipeline used to recover the waste heat of the cylinder liner cooling water; the second heat exchange pipeline refers to the heat exchange pipeline used to recover the waste heat of the exhaust gas; and the cylinder liner cooling system refers to the water cooling circulation system of the internal combustion engine cylinder block.

[0040] Specifically, the module converts waste heat into thermal energy through a plate heat exchanger and converts some of the waste heat into mechanical energy through a small steam turbine. For example, the waste heat recovery temperature of the cylinder liner cooling water is 70 to 90 degrees Celsius, and the waste heat recovery temperature of the exhaust gas is 300 to 600 degrees Celsius. The heat exchange pipeline is made of copper-nickel alloy, with an inner diameter of 20 mm, a wall thickness of 3 mm, and a total length of 8 meters. The waste heat capture efficiency is over 75%.

[0041] The power output integration module is connected to the crankshaft of the hydrogen-ammonia dual-fuel internal combustion engine via a coupling.

[0042] Among them, the coupling refers to the elastic transmission component that connects the crankshaft and the generator, and is used to buffer vibration; the crankshaft refers to the core shaft component in the internal combustion engine that converts the reciprocating motion of the piston into rotational motion.

[0043] Specifically, this module converts mechanical energy into electrical energy through a permanent magnet synchronous generator, and ensures the quality of the output power through a voltage stabilizer and a frequency regulator. For example, the nominal torque of the coupling is 500 Nm to 2000 Nm, the allowable speed is 3000 rpm, the generator's rated power is 50 kW to 200 kW, the efficiency is above 95%, the output voltage range is 220 V to 380 V, and the frequency is 50 Hz.

[0044] The intelligent parameter adaptation module is connected to the hydrogen-ammonia fuel storage and supply module, the combustion coordination and control module, the exhaust gas turbocharger and intercooler module, the waste heat recovery and conversion module, and the power output integration module through sensing lines.

[0045] Among them, the sensing line refers to the electrical connection line that transmits sensor signals, and shielded cables are usually used to resist interference.

[0046] Specifically, this module collects operational data, such as internal combustion engine speed, cylinder pressure, and fuel flow, through distributed sensors, and employs an industrial controller to execute a closed-loop control algorithm. For example, the sensor sampling frequency is 5 kHz, the cylinder pressure sensor has a measurement range of 0 MPa to 15 MPa with an accuracy of ±0.01 MPa, the data acquisition card uses 16-bit analog-to-digital conversion accuracy, and the signal transmission delay does not exceed 5 milliseconds.

[0047] Therefore, by utilizing the aforementioned hydrogen-ammonia dual-fuel internal combustion engine power generation system, users can achieve precise mixing and dynamic adjustment of hydrogen and ammonia fuels, thereby improving combustion efficiency; optimize energy utilization and reduce energy consumption through exhaust gas turbocharging and waste heat recovery; and achieve stable system operation with the help of intelligent parameter adaptation modules, ultimately achieving the dual goals of improving power generation efficiency and controlling emissions.

[0048] In other embodiments, such as Figure 1This demonstration showcases the specific architecture of a hydrogen-ammonia dual-fuel internal combustion engine power generation system. The system comprises a hydrogen-ammonia fuel storage module, a combustion coordination and control module, an exhaust gas turbocharger and intercooler module, a waste heat recovery module, an intelligent parameter adaptation module, and a power output integration module. Specifically, the hydrogen-ammonia fuel storage module supplies the mixed fuel to the combustion coordination and control module via pipelines. The combustion coordination and control module includes an ignition phase adaptation unit, used to precisely control the ignition timing based on crankshaft position signals. The exhaust gas turbocharger and intercooler module sequentially integrates an exhaust gas energy capture unit, an intake turbocharger unit, an intercooler cooling unit, and a pressure feedback regulation unit, forming a complete intake treatment and energy recovery chain. The waste heat recovery module is further refined into a cylinder liner waste heat collection unit, an exhaust waste heat capture unit, an energy conversion unit, and a waste heat distribution unit, achieving graded recovery and comprehensive utilization of multiple heat sources. The intelligent parameter adaptation module, as the control core, connects to all the above modules via signal lines, collecting data in real time and outputting control commands. The power output integration module ultimately converts the mechanical energy of the internal combustion engine crankshaft into electrical energy output. This architecture clearly reveals the functional divisions within the system and the flow paths of energy and signals, providing a clear physical and logical framework for specific implementation.

[0049] Next, according to the first aspect, the present invention provides a control method for a hydrogen-ammonia dual-fuel internal combustion engine power generation system. This method, based on the hydrogen-ammonia dual-fuel internal combustion engine power generation system described in the above embodiment, is applied to an intelligent parameter adaptation module. This intelligent parameter adaptation module integrates a data acquisition unit, a signal processing unit, a control algorithm calculation unit, and an instruction output unit. Specifically, this intelligent parameter adaptation module can collect real-time operating parameter data from each module, perform multi-source data fusion processing and feature extraction, and execute parameter optimization calculations and instruction generation based on a preset control model. Specifically, the hardware devices of this intelligent parameter adaptation module include, but are not limited to: an industrial-grade multi-core processor, a high-precision data acquisition card, a distributed sensor network, a signal conditioning circuit, a communication interface module, and an embedded control system.

[0050] The data acquisition unit refers to the hardware components used to receive sensor signals, including analog-to-digital converters and signal isolators; the signal processing unit refers to the electronic circuits that filter, amplify, and linearize the acquired signals; the control algorithm operation unit refers to the computing core that runs the control algorithm, using a digital signal processor or programmable logic controller; and the instruction output unit refers to the output interface that generates control signals to drive the actuator, including digital-to-analog converters and power drive circuits.

[0051] Specifically, this module uses a distributed sensor network to collect multi-dimensional operating parameters in real time, including hydrogen fuel flow, ammonia fuel flow, internal combustion engine speed, cylinder pressure, exhaust temperature, intake pressure, output voltage, and frequency, with a sampling frequency of up to 5 kHz. The collected analog signals undergo anti-interference processing via signal conditioning circuitry before being converted into digital signals by a 16-bit analog-to-digital converter. An industrial-grade multi-core processor analyzes the data in real time based on a preset closed-loop control algorithm, dynamically calculating the optimal operating parameters for each module, and finally transmitting control signals to the corresponding actuators through the instruction output unit. For example, the intelligent parameter adaptation module can use an ARM-based embedded industrial control board as the main controller, equipped with a Xilinx Zynq-7000 series programmable logic device (a heterogeneous computing platform integrating a high-performance processor system and programmable logic resources) to achieve parallel computing. It interacts with each module via the EtherCAT bus, reducing the control cycle to less than 1 millisecond, ensuring the real-time performance and accuracy of the system response. EtherCAT (Ethernet for Control Automation Technology) is an industrial fieldbus communication protocol based on the standard Ethernet physical layer, featuring high real-time performance and high synchronization capabilities. This bus employs a master-slave architecture and utilizes a specific "fly-through" data processing mechanism to achieve microsecond-level data cycle times and nanosecond-level synchronization accuracy, making it suitable for distributed control systems with stringent real-time requirements.

[0052] like Figure 2 As shown, the method may include: Step S110: Obtain the current hydrogen and ammonia fuel output parameters of the hydrogen-ammonia dual-fuel internal combustion engine through the hydrogen-ammonia fuel storage and supply module, and generate a mixing ratio adjustment command based on the hydrogen and ammonia fuel output parameters.

[0053] Among them, the output parameters of hydrogen fuel and ammonia fuel refer to the instantaneous flow rate values ​​of hydrogen fuel and ammonia fuel, which are collected in real time by flow sensors, and the units are cubic meters per hour, respectively. ) and kilograms per hour ( The mixing ratio adjustment command refers to a digital control signal calculated based on a preset algorithm to adjust the mixing ratio of hydrogen fuel and ammonia fuel.

[0054] Specifically, the system can collect hydrogen fuel flow data through a high-precision electromagnetic flow meter, collect ammonia fuel flow data through a Coriolis mass flow meter, and use an embedded processor to execute a proportional-integral-derivative (PID) control algorithm to generate adjustment commands based on the deviation between the real-time flow and the target flow.

[0055] For example, the system uses a sampling period of 100 milliseconds to collect hydrogen fuel flow rates ranging from 5 to 30 cubic meters per hour. Ammonia fuel flow rate range: 10-50 kg / h The mixing ratio deviation is calculated using a PID algorithm, and the output is 4~20 mA. Analog signals or Modbus TCP / IP (Transmission Control Protocol / Internet Protocol) digital signals are used as control commands. Modbus TCP / IP is an application-layer industrial communication protocol based on standard Ethernet. It embeds the classic Modbus serial protocol into the TCP / IP network framework, enabling data exchange and remote control of industrial equipment over a local area network or the Internet.

[0056] In practice, optimizing the mixing ratio of hydrogen and ammonia dual fuels requires comprehensive consideration of fuel characteristics and combustion dynamics. The inventors discovered through experiments that in-cylinder pressure... The squared term can effectively reflect the nonlinear effect of the high reactivity of hydrogen fuel on the combustion rate, and the rotational speed. The cubic term is used to characterize the relationship between turbulence intensity and mixing uniformity. Based on this, formula (1) is constructed to dynamically predict the hydrogen volume fraction, and its form ensures adaptability under varying operating conditions.

[0057] In some embodiments, the system can calculate the hydrogen volume fraction correlation parameter using the following formula (1). This allows for dynamic adjustment of the hydrogen-ammonia mixing ratio. (1) Formula (1) is a mixing ratio adjustment model used to dynamically calculate the target volume fraction of hydrogen fuel based on the real-time operating conditions of the internal combustion engine. It should also be noted that formulas (1) to (5) in this embodiment are empirical mathematical models, and their expressions are derived from bench test data regression. The dimensions of each parameter in the formulas are expressed using coefficients. After normalization, these coefficients are dimensionless fitting constants, whose values ​​have been calibrated through numerous experiments. For example, in formula (1) The actual physical meaning of the term is a weighted representation of the effect of in-cylinder pressure on hydrogen fuel activity, rather than directly using the square dimension of pressure. Similarly, all other terms have been transformed into dimensionless quantities to ensure the overall validity of the formula in numerical calculations.

[0058] Next, in the above formula (1), The hydrogen volume fraction correlation parameter is a dimensionless intermediate variable whose value is mapped to the volume percentage of hydrogen fuel in the mixture. The in-cylinder pressure influence coefficient is a dimensionless constant calibrated experimentally, representing the weight of in-cylinder pressure on the demand for hydrogen fuel. This refers to the peak pressure inside the cylinder, measured in megapascals (MPa). ); The speed influence coefficient is a dimensionless constant that characterizes the weight of the influence of the internal combustion engine speed on the combustion speed of the air-fuel mixture. This refers to the engine speed of an internal combustion engine, measured in revolutions per minute (rpm). ); The in-cylinder temperature influence coefficient is a dimensionless constant that characterizes the weight of the influence of in-cylinder temperature on the ignition performance of ammonia fuel. The average temperature inside the cylinder, in degrees Celsius. ); The output power influence coefficient is a dimensionless constant that characterizes the weight of system load on total fuel energy. Output power, measured in kilowatts (kW). The fluctuation correction coefficient is a dimensionless constant used to compensate for cyclic fluctuations. For time series coefficients, the unit is radians per second (rad / s), and their values ​​are determined by Fourier analysis of the running cycle; Runtime, in seconds. The model characterizes the nonlinear operating condition response through the square term of pressure and the cube term of rotational speed, reflects the delay characteristics of heat conduction and load changes through the square root terms of temperature and power, and introduces a sinusoidal timing correction term to suppress periodic fluctuations. For example, at a certain steady-state operating point ( ), and set coefficients ( When ), it can be calculated that That is, the target hydrogen volume fraction is approximately 25%.

[0059] Next, in this embodiment, the system can also calculate the ignition advance angle using formula (2). : (2) Among them, the ignition advance angle formula (2) is a simplified model of multi-parameter coupling, and its expression focuses on the nonlinear relationship of key variables, with coefficients The combustion cycle optimization experiment has been calibrated, and the dimensional mismatch problem is absorbed by the coefficients. Next, the above formula (2) is the ignition advance angle adjustment model. This refers to the ignition advance angle, measured in degrees (°). The pressure-speed coupling coefficient is a dimensionless constant. The coefficient for the square term of temperature is a dimensionless constant. is the coefficient of the logarithmic power term, which is a dimensionless constant; The time correction factor is a dimensionless constant. The injection duration is expressed in milliseconds (ms). This model integrates the effects of cylinder pressure, engine speed, temperature, and power on optimal ignition timing, and considers corrections for the injection duration on the quality of air-fuel mixture formation. For example, when... The coefficient is taken as When, it can be calculated .

[0060] Furthermore, in this embodiment, the system can also calculate the waste heat recovery efficiency correlation parameter using formula (3). : (3) Formula (3) is the correlation model for waste heat recovery efficiency. The parameter associated with waste heat recovery efficiency is a dimensionless intermediate variable. λ represents the total waste heat from exhaust gas, measured in megajoules per hour (MJ / h); λ is the waste heat conversion coefficient from exhaust gas, a dimensionless constant. This represents the total waste heat of the cylinder liner cooling water, expressed in megajoules per hour (MJ / h). The waste heat conversion coefficient of cooling water is a dimensionless constant. Total energy input for fuel, measured in megajoules per hour (MJ / h). The energy loss coefficient is a dimensionless constant. This is a recovery correction factor, in units of megajoules (J / m²). ); The actual amount of waste heat recovered is expressed in megajoules (MJ). Hyperbolic tangent function. This is used to map the recovery amount to an efficiency saturation range of 0 to 1. For example, when The coefficient is taken as When, it can be calculated .

[0061] Furthermore, in this embodiment, the system can also calculate the boost pressure correlation parameters of the exhaust gas turbocharger intercooler module using formula (4). : (4) Formula (4) is the boost pressure regulation model. This is a pressure-related parameter for boosting, and the unit is megapascals (MPa). ); The waste gas energy utilization coefficient is a dimensionless constant. The intake air temperature influence coefficient is a dimensionless constant. This refers to the intake air temperature, expressed in degrees Celsius (°C). The intake airflow influence coefficient is a dimensionless constant. This refers to the air intake flow rate, measured in cubic meters per hour. ); This is the valve phase correction factor, in megapascals (MPa). ); This is the valve timing coefficient, expressed in degrees (° / ). The valve timing phase angle is expressed in degrees (°). This model describes the nonlinear relationship between exhaust gas energy and intake conditions using exponential and radical terms, and introduces a cosine function term to compensate for the periodic influence of the valve timing phase. For example, when... The coefficient is taken as When, it can be calculated MPa.

[0062] Finally, in this embodiment, the system can also calculate the power output integration module's electrical energy correlation parameters using formula (5). : (5) Formula (5) is the power conversion correlation model. The output power related parameters are dimensionless intermediate variables used to evaluate the quality of power output. ξ is the crankshaft torque, measured in Newton-meters (N·m); ξ is the mechanical transmission efficiency coefficient, a dimensionless constant. The transmission ratio is a dimensionless constant. Angular velocity, measured in radians per second (rad / s); The integral coefficient is a dimensionless constant. The power correction factor is a dimensionless constant. The average effective pressure is expressed in megapascals (MPa). The integral term represents the memory effect of the power history state. For example, when (correspond rad / s The coefficient is taken as and for a period of time After integration, it can be calculated that The value of .

[0063] Therefore, by combining the above formulas (1) to (5), the system can construct a multivariable, strongly coupled mathematical model system, which can accurately describe and dynamically control key processes such as fuel mixing, ignition, energy recovery, intake boosting, and electrical output. Each model takes real-time sensor data as input and outputs specific control commands (such as valve opening, ignition angle, and distribution ratio) through the calculation of the intelligent parameter adaptation module. Finally, it realizes adaptive closed-loop optimization control of the hydrogen-ammonia dual-fuel internal combustion engine power generation system in the entire operating range, thereby comprehensively improving the power generation efficiency, operational stability, and fuel economy of the system.

[0064] Step S120: Input the mixing ratio adjustment command into the hydrogen-ammonia fuel storage and supply module to adjust the fuel mixing ratio of the hydrogen-ammonia dual-fuel internal combustion engine.

[0065] Among them, the fuel mixing ratio refers to the ratio of the volume fraction of hydrogen fuel to the mass fraction of ammonia fuel, which is used to characterize the mixing state of the two fuels; the regulating operation refers to changing the opening degree of the flow control valve through the actuator.

[0066] Specifically, the system can receive mixing ratio adjustment commands through electric regulating valves and dynamically adjust the valve openings of the hydrogen fuel pipeline and the ammonia fuel pipeline, so that the mixing ratio is continuously adjustable within the range of 5% to 30% hydrogen volume fraction.

[0067] For example, the system controls the opening of the hydrogen fuel valve to be linearly adjusted between 10% and 100%, and the opening of the ammonia fuel valve to be synchronously adjusted between 20% and 100%, achieving a mixing uniformity of over 98% and a response time of no more than 50 milliseconds.

[0068] Step S130: Generate a coordinated control command based on the real-time operating condition data of the hydrogen-ammonia dual-fuel internal combustion engine, and input the coordinated control command into the combustion coordinated regulation module to adjust the fuel injection pressure, injection duration and ignition advance angle.

[0069] Among them, real-time operating condition data refers to the dynamic parameter set of internal combustion engine speed, in-cylinder peak pressure, and output power; coordinated control command refers to the multivariable control signal that synchronously optimizes injection parameters and ignition parameters.

[0070] Specifically, the system can acquire speed signals (range 500~3000 rpm) via a crankshaft position sensor, pressure signals (range 0~15 MPa) via a cylinder pressure sensor, and power signals (range 50~200 kW) via a power sensor. Based on a fuzzy logic controller, it generates coordinated commands for injection pressure (10~25 MPa), injection duration (0.5~5 ms), and ignition advance angle (5~35 degrees crankshaft angle). For example, at a speed of 1500 rpm and a cylinder pressure of 8 MPa, the system generates control commands for an injection pressure of 18 MPa, an injection duration of 2 ms, and an ignition advance angle of 15 degrees, which are then sent to the electronic control unit via a CAN (Controller Area Network) bus.

[0071] Step S140: Generate a boost control command based on the exhaust parameters of the exhaust passage, and input the boost control command into the exhaust gas turbocharger intercooler module to adjust the turbine bypass valve opening and intake boost pressure.

[0072] Among them, exhaust parameters refer to the set of measured values ​​of exhaust flow rate, exhaust temperature and exhaust pressure; boost control command refers to the electrical signal used to control the opening of the turbine bypass valve to maintain stable intake pressure.

[0073] Specifically, the system can measure the exhaust flow rate (range 100~500 cubic meters per hour) using a thermal flow meter, measure the exhaust temperature (range 300~600 degrees Celsius) using a thermocouple, measure the exhaust pressure (range 0.1~0.5 MPa) using a pressure transmitter, and calculate the valve opening adjustment using a feedforward-feedback composite control algorithm.

[0074] For example, when the exhaust temperature is 450 degrees Celsius, the system stabilizes the intake boost pressure at 0.3 MPa through a PID controller, and adjusts the turbine bypass valve opening within the range of 0% to 100%, with a control accuracy of ±0.005 MPa.

[0075] Step S150: Generate a waste heat recovery control command based on the waste heat parameters of the cylinder liner cooling system and exhaust passage, and input the waste heat recovery control command into the waste heat recovery conversion module to adjust the waste heat distribution ratio.

[0076] Among them, the waste heat parameter refers to the energy value of the total waste heat of cylinder liner cooling water and the total waste heat of exhaust gas, both in kilojoules per hour (kJ / h); the waste heat recovery control command refers to the adjustment signal used to allocate waste heat to fuel preheating or auxiliary power generation.

[0077] Specifically, the system can calculate the total amount of waste heat (50-200 kJ / h for cylinder liner waste heat and 100-500 kJ / h for exhaust waste heat) using temperature sensors and flow meters, and generate the waste heat allocation ratio (30%-70% to fuel preheating and 20%-50% to auxiliary power generation) based on the energy balance model.

[0078] For example, when the system has 80 kJ / h of cylinder liner waste heat and 300 kJ / h of exhaust waste heat, 60% of the waste heat is allocated to the fuel preheating pipeline and 40% is allocated to the auxiliary power generation components, with an allocation response time of ≤15 milliseconds.

[0079] Step S160: Generate an energy adjustment command based on the energy output parameters of the power output integration module, and input the energy adjustment command into the power output integration module to adjust the output voltage and frequency.

[0080] Among them, the power output parameters refer to the real-time measured values ​​of output voltage, output frequency and output power; the power regulation command refers to the digital control signal used to stabilize power quality.

[0081] Specifically, the system can acquire the output voltage (range 220~380V) through a voltage transformer, acquire the output frequency (range 48~52Hz) through a frequency meter, and generate adjustment commands using a dual closed-loop control strategy (voltage outer loop, current inner loop).

[0082] For example, when the load changes abruptly, the system uses an IGBT (Insulated Gate Bipolar Transistor) voltage regulation circuit to stabilize the output voltage at 380V ± 1% and the frequency at 50Hz ± 0.1Hz, with a regulation time of no more than 100 milliseconds.

[0083] Therefore, according to the above embodiments, the system is first realized through the collaborative connection and integration of six core modules, namely, the hydrogen-ammonia fuel storage and supply module, the combustion collaborative regulation module, the exhaust gas turbocharging and intercooling module, the waste heat recovery and conversion module, the intelligent parameter adaptation module, and the power output integration module. Among them, the hydrogen-ammonia fuel storage and supply module is connected to the combustion collaborative regulation module through a fuel delivery pipeline, and is used to achieve the mixing and delivery of hydrogen fuel and ammonia fuel; the combustion collaborative regulation module is connected to the cylinder block of the hydrogen-ammonia dual-fuel internal combustion engine and is connected to the combustion chamber through a fuel injection pipeline, and is used to execute fuel injection and ignition control; the exhaust gas turbocharging and intercooling module is arranged between the exhaust passage and the intake passage, and its turbine input end is connected to the exhaust passage, and the compressor output end is connected to the intake passage, and is used to recover the exhaust kinetic energy and pressurize and cool the intake air; the waste heat recovery and conversion module is connected to the cylinder jacket cooling system through a first heat exchange pipeline and is connected to the exhaust passage through a second heat exchange pipeline, and is used to simultaneously recover the waste heat in the cylinder jacket cooling water and the exhaust gas and perform energy conversion; the power output integration module is connected to the internal combustion engine crankshaft through a coupling, and is used to convert mechanical energy into electrical energy and adjust the output; the intelligent parameter adaptation module is connected to the above-mentioned modules through sensing lines respectively, and is used to collect the system operation data and realize the closed-loop regulation of the working parameters of each module.

[0084] In the whole process, in view of the problem that the fuel mixing and combustion control in the background technology lacks an accurate collaborative mechanism, this embodiment realizes the dynamic and precise adjustment of the mixing ratio of hydrogen fuel and ammonia fuel and the real-time collaborative optimization of injection parameters and ignition parameters by connecting the pipelines of the hydrogen-ammonia fuel storage and supply module and the combustion collaborative regulation module and combining the closed-loop regulation of the intelligent parameter adaptation module, and solves the defects of incomplete combustion and low power generation efficiency caused by the fixed ratio mixing and insufficient parameter adaptation in the prior art; in view of the problem of insufficient integration of energy recovery and system regulation, through the recovery and utilization of exhaust kinetic energy by the exhaust gas turbocharging and intercooling module, the synchronous collection of waste heat in the cylinder jacket cooling water and exhaust gas by the waste heat recovery and conversion module, and relying on the intelligent parameter adaptation module to realize the linkage regulation of each energy recovery unit and the system operation state, an energy management architecture integrating multi-source waste heat recovery and system intelligent regulation is constructed, and solves the disadvantages of low energy recovery utilization rate and poor system comprehensive energy efficiency in traditional technologies. Therefore, the technical solution of the present invention solves the technical problem of insufficient improvement of power generation efficiency in the existing hydrogen-ammonia dual-fuel internal combustion engine power generation system control technology in high-penetration hydrogen-ammonia application scenarios, and improves the operation stability, fuel utilization efficiency and overall energy conversion efficiency of the power generation system.

[0085] In some embodiments, the output parameters of hydrogen fuel and ammonia fuel include hydrogen fuel instantaneous flow rate parameters and ammonia fuel instantaneous flow rate parameters; generating a mixing ratio adjustment command according to the output parameters of hydrogen fuel and ammonia fuel includes: The real-time operating condition data of the hydrogen-ammonia dual-fuel internal combustion engine is obtained through the intelligent parameter adaptation module.

[0086] Real-time operating condition data refers to a set of multiple key parameters dynamically collected during the operation of the internal combustion engine, including internal combustion engine speed parameters, in-cylinder peak pressure parameters, and output power parameters, which are used to characterize the current operating status.

[0087] Specifically, the system can synchronously acquire data at a sampling frequency of 5 kHz through a distributed sensor network, such as magnetoelectric speed sensors, piezoelectric cylinder pressure sensors, and Hall power sensors, and transmit the data to the intelligent parameter adaptation module via an RS-485 (recommended standard 485) bus. For example, the system can acquire data at a speed of 1500 rpm and a cylinder pressure of 8 MPa under rated operating conditions. The output power is 100 kilowatts (kW), and the data update cycle is 200 milliseconds (ms). The RS-485 (Recommended Standard 485) bus is a serial communication standard that defines the electrical characteristics of drivers and receivers in a balanced digital multipoint system, belonging to the physical layer and data link layer specifications. This standard was developed by the Electronic Industries Alliance (EIA), and its core feature is the use of differential signals for data transmission, possessing strong common-mode interference immunity, supporting multipoint communication, and long-distance transmission.

[0088] The hydrogen volume fraction correlation parameter is calculated based on the instantaneous flow parameters of hydrogen fuel, the instantaneous flow parameters of ammonia fuel, and real-time operating condition data.

[0089] Among them, the hydrogen volume fraction correlation parameter refers to an intermediate variable obtained through mathematical calculations to quantify the volume ratio of hydrogen fuel in the blended fuel. This parameter is related to fuel characteristics and operating conditions.

[0090] Specifically, the system can execute a weighted calculation algorithm through an embedded processor to calculate the instantaneous flow rate of hydrogen fuel (unit: cubic meters per hour). Instantaneous flow rate of ammonia fuel (unit: kg / hour) The data is fused with real-time operating condition data (such as engine speed and cylinder pressure) in a multi-dimensional manner, and the calculation formula is as follows: ,in This is a preset coefficient. For example, when the hydrogen flow rate is... ammonia flow rate is When the rotational speed is 1500 r / min and the cylinder pressure is 8 MPa, the hydrogen volume fraction correlation parameter is calculated to be 0.25 (dimensionless).

[0091] A proportional deviation signal is generated by comparing the hydrogen volume fraction correlation parameter with a preset proportional threshold.

[0092] Among them, the preset ratio threshold refers to the pre-set target value of hydrogen volume fraction, which is used to guide the adjustment of the mixing ratio; the ratio deviation signal refers to the electrical signal that represents the difference between the actual parameter and the target value, usually output in the form of voltage or digital value.

[0093] Specifically, the system can use a comparator circuit or software algorithm to subtract the hydrogen volume fraction correlation parameter from a preset proportional threshold (such as 0.3) to generate a deviation value, which is then converted into a standard signal by a proportional-integral-derivative (PID) controller.

[0094] For example, when the hydrogen volume fraction correlation parameter is 0.25 and the preset proportion threshold is 0.3, the generated proportion deviation signal is: (deviation rate), output is 4~20 mA ( )analog signal.

[0095] The mixing ratio control command is generated based on the proportional deviation signal. The mixing ratio control command includes the adjustment amount of the hydrogen fuel flow control valve opening and the adjustment amount of the ammonia fuel flow control valve opening.

[0096] The hydrogen fuel flow control valve opening adjustment amount refers to the change in the opening of the hydrogen fuel valve used to adjust the hydrogen fuel valve, expressed as a percentage (%); the ammonia fuel flow control valve opening adjustment amount refers to the change in the opening of the ammonia fuel valve used to adjust the ammonia fuel valve, also expressed as a percentage (%).

[0097] Specifically, the system can convert the proportional deviation signal into a corresponding valve opening adjustment using a lookup table method or a linear mapping algorithm. For example, a 0.01 change in the deviation signal corresponds to a 1% adjustment in the valve opening. For instance, when the proportional deviation signal is... At that time, the system generates the hydrogen fuel valve opening adjustment amount as follows: (Reduce opening degree) The ammonia fuel valve opening degree adjustment is +3% (increase opening degree), and the command is sent to the actuator via the CAN bus.

[0098] Therefore, according to the above implementation method, the system can achieve dynamic and precise adjustment of the hydrogen-ammonia fuel mixing ratio, ensuring stable operation of the internal combustion engine under different loads, and improving combustion efficiency and system reliability.

[0099] In some embodiments, real-time operating condition data includes internal combustion engine speed parameters, in-cylinder peak pressure parameters, and output power parameters; coordinated control commands are generated based on the real-time operating condition data of the hydrogen-ammonia dual-fuel internal combustion engine, including: The ignition advance angle adjustment parameters are calculated based on the internal combustion engine speed parameters, in-cylinder peak pressure parameters, and output power parameters.

[0100] Among them, the ignition advance angle adjustment parameter refers to the intermediate calculation value used to determine the optimal ignition timing. This parameter comprehensively reflects the time characteristic requirements of the combustion process under the current operating conditions.

[0101] Specifically, the system can execute a polynomial fitting algorithm using an embedded digital signal processor (DSP) to input rotational speed (in revolutions per minute, r / min) and cylinder pressure (in megapascals, ...). The formula is to calculate the weighted average of power (unit: kilowatt, kW) and kW, using the following formula: For example, when the engine speed is 1500 r / min, the cylinder pressure is 8 MPa, and the output power is 100 kW, the calculated ignition advance angle adjustment parameter is 12.5 (dimensionless).

[0102] Ignition phase control commands are generated based on the ignition advance angle adjustment parameters.

[0103] Among them, the ignition phase control command refers to the digital control signal used to drive the ignition actuator. This command uses crankshaft angle (unit: degrees, °) as the basic unit.

[0104] Specifically, the system can map the adjustment parameters to specific ignition advance angle values ​​using a digital-to-analog converter (DAC). The mapping relationship is as follows: For example, when the base ignition angle is 10 degrees and the correction factor is 0.8, the adjustment parameter 12.5 corresponds to the generation of a control command for an ignition advance angle of 20 degrees. The command is sent via the CAN bus in hexadecimal format 0x0014.

[0105] The fuel injection pressure adjustment parameters are calculated based on the in-cylinder peak pressure parameters and output power parameters.

[0106] Among them, the fuel injection pressure regulation parameter refers to the intermediate calculation variable used to optimize the fuel atomization effect. This parameter is positively correlated with the combustion chamber pressure state and power demand.

[0107] Specifically, the system can determine the baseline injection pressure value based on the product of cylinder pressure and power by using a look-up table (LUT) combined with a linear interpolation algorithm, and then fine-tune it through pressure feedback. For example, when the cylinder pressure is 8MPa and the power is 100kW, the baseline injection pressure obtained by looking up the table is 18MPa, and then it is corrected to 18.5MPa based on the feedback from the real-time pressure sensor.

[0108] Injection pressure control commands are generated based on fuel injection pressure adjustment parameters.

[0109] Among them, the injection pressure control command refers to the pulse width modulation (PWM) signal used to regulate the pressure of the high-pressure oil pump.

[0110] Specifically, the system can generate a square wave signal with an adjustable duty cycle using a PWM generator. The duty cycle is linearly related to the target injection pressure (a 5% change in duty cycle for every 1 MPa). For example, when the injection pressure needs to be adjusted to 18.5 MPa, a PWM signal with a duty cycle of 92.5% and a frequency of 1 kHz is generated.

[0111] The injection duration adjustment parameters are calculated based on the internal combustion engine speed parameters and output power parameters.

[0112] Among them, the injection duration adjustment parameter refers to the time parameter used to control the fuel injection quantity. This parameter must simultaneously meet the requirements of complete combustion and emission control.

[0113] Specifically, the system can execute formula calculations using a microcontroller unit (MCU): For example, with a base injection time of 2 milliseconds (ms), a speed of 1500 r / min corresponds to a compensation of 0.5 ms, and a power of 100 kW corresponds to a compensation of 0.3 ms, resulting in a final calculated injection duration of 2.8 ms.

[0114] The injection duration control command is generated based on the injection duration adjustment parameters.

[0115] Among them, the injection duration control command refers to the digital pulse signal used to control the opening time of the fuel injector.

[0116] Specifically, the system can generate precise square wave signals through a timer / counter module, with the pulse width strictly corresponding to the injection duration and a time resolution of 0.1 milliseconds. For example, when an injection duration of 2.8ms is required, a TTL (Transistor-Transistor Logic) level signal with a pulse width of 2.8ms is generated.

[0117] The ignition phase control command, injection pressure control command, and injection duration control command are combined into a coordinated control command.

[0118] Among them, the coordinated control command refers to a data packet containing synchronous control information of multiple ignition parameters, and a unified timestamp and verification mechanism is used to ensure the synchronization of the command.

[0119] Specifically, the system packages the three sub-instructions into a fixed-format data frame via the fieldbus, including an instruction header, timestamp, parameter set, and cyclic redundancy check (CRC) code. For example, the cooperative control instruction data packet is 16 bytes long, containing a 2-byte instruction header, a 4-byte timestamp, 3×3 bytes of parameter data, and a 1-byte CRC checksum, with a transmission rate of 250 kilobits per second (kbps).

[0120] Therefore, according to the above implementation method, the system can achieve precise matching of ignition parameters, injection parameters and operating conditions, optimize the combustion process through multi-parameter collaborative control, improve the thermal efficiency of the internal combustion engine and reduce pollutant emissions.

[0121] In some embodiments, exhaust parameters include total exhaust waste heat parameters, internal combustion engine speed parameters, intake air temperature parameters, and intake air flow rate parameters; generating boost control commands based on the exhaust parameters of the exhaust passage includes: The boost pressure correlation parameters are calculated based on the total exhaust waste heat parameters, internal combustion engine speed parameters, intake air temperature parameters, and intake air flow parameters.

[0122] Among them, the boost pressure correlation parameter refers to the intermediate variable used to characterize the target boost pressure level, which is obtained through multi-parameter fusion calculation. This parameter comprehensively reflects the synergistic influence of exhaust energy, operating conditions and intake conditions on the boost system.

[0123] Specifically, the system can use a DSP to execute a weighted fusion algorithm to combine total exhaust waste heat (unit: megajoules per hour, MJ / h), internal combustion engine speed (unit: revolutions per minute, r / min), and intake air temperature (unit: degrees Celsius). ) and intake flow rate (unit: cubic meters per hour, The normalization process is performed, and the calculation formula is as follows: .

[0124] For example, when the total exhaust waste heat is 300 MJ / h, the engine speed is 1500 r / min, and the intake air temperature is... Intake flow rate is At that time, the calculated boost pressure correlation parameter was 15.2 (dimensionless).

[0125] A pressure deviation signal is generated by comparing the boost pressure correlation parameters with the preset boost pressure threshold.

[0126] Among them, the preset boost pressure threshold refers to the target value of boost pressure set in advance according to the optimal operating conditions of the internal combustion engine; the pressure deviation signal refers to the standardized electrical signal that represents the difference between the actual boost pressure related parameters and the target value.

[0127] Specifically, the system uses a comparator circuit to calculate the difference between the boost pressure-related parameter and a preset threshold (e.g., 16.0), and then uses a proportional-integral-derivative (PID) controller to convert the deviation into a standard industrial signal. For example, when the boost pressure-related parameter is 15.2 and the preset threshold is 16.0, the generated pressure deviation signal is: The output is 4~20 mA ( Analog signal, corresponding to a voltage signal of 1~5 volts (V).

[0128] The boost control command is generated based on the pressure deviation signal. The boost control command includes the turbine bypass valve opening adjustment amount.

[0129] Among them, the turbine bypass valve opening adjustment amount refers to the change in valve opening used to control the bypass amount of exhaust gas, expressed as a percentage (%). This adjustment amount directly determines the stability of the boost pressure.

[0130] Specifically, the system can map the pressure deviation signal to a specific valve opening adjustment command using a lookup table method. The mapping relationship is as follows: For example, when the pressure deviation signal is When the adjustment coefficient is 5% per unit deviation, the resulting turbine bypass valve opening adjustment amount is: (That is, reduce the opening by 4%), the instruction is sent to the actuator via the CAN bus in hexadecimal format 0xFC.

[0131] Therefore, according to the above implementation method, the system can achieve precise closed-loop control of boost pressure, optimize turbine working efficiency through multi-parameter adaptive adjustment, improve the intake air density and combustion stability of the internal combustion engine, and reduce the risk of turbocharger surge.

[0132] In some embodiments, the waste heat parameters of the cylinder liner cooling system and exhaust passage include the total waste heat parameters of the cylinder liner cooling water, the total waste heat parameters of the exhaust, and the total energy parameters of the fuel input; a waste heat recovery control command is generated based on the waste heat parameters of the cylinder liner cooling system and exhaust passage, including: The parameters related to waste heat recovery efficiency are calculated based on the total waste heat parameters of cylinder liner cooling water, total waste heat parameters of exhaust gas, and total energy parameters of fuel input.

[0133] Among them, the waste heat recovery efficiency correlation parameter refers to a comprehensive evaluation index used to quantify the waste heat utilization effect, which is calculated by the ratio of multi-source waste heat to input energy. This parameter reflects the overall efficiency level of the system's energy recovery.

[0134] Specifically, the system can use a microprocessor to execute a weighted normalization algorithm to fuse the total waste heat of cylinder liner cooling water (unit: megajoules per hour, MJ / h), the total waste heat of exhaust gas (unit: megajoules per hour, MJ / h), and the total fuel input energy (unit: megajoules per hour, MJ / h) for calculation. The calculation formula is as follows: .

[0135] For example, when the total waste heat of cylinder liner cooling water is 80 MJ / h, the total waste heat of exhaust is 300 MJ / h, and the total energy of fuel input is 500 MJ / h, the calculated waste heat recovery efficiency correlation parameter is 0.52 (dimensionless).

[0136] An efficiency deviation signal is generated by comparing the waste heat recovery efficiency correlation parameters with a preset efficiency threshold.

[0137] Among them, the preset efficiency threshold refers to the target value of waste heat recovery efficiency set according to the optimal operating state of the system; the efficiency deviation signal refers to the standardized electrical signal that represents the difference between the actual efficiency parameter and the target value.

[0138] Specifically, the system can use an analog comparison circuit to calculate the difference between the waste heat recovery efficiency-related parameter and a preset threshold (e.g., 0.60), and then use a proportional-integral-derivative (PID) controller to convert the deviation into 4~20 mA. Standard industrial signals. For example, when the waste heat recovery efficiency correlation parameter is 0.52 and the preset efficiency threshold is 0.60, the generated efficiency deviation signal is... The corresponding output current is 12.8 mA.

[0139] Waste heat recovery control commands are generated based on efficiency deviation signals, and these commands include adjustments to the waste heat distribution ratio.

[0140] Among them, the waste heat distribution ratio adjustment refers to the adjustment instruction used to control the distribution ratio of waste heat between the fuel preheating pipeline and the auxiliary power generation components, and the distribution weight is expressed as a percentage (%).

[0141] Specifically, the system can map the efficiency deviation signal to a specific allocation ratio adjustment amount using a lookup table method. The mapping relationship is as follows: For example, when the efficiency deviation signal is When the basic allocation ratio is 50% and the adjustment coefficient is 100% per unit deviation, the fuel preheating allocation ratio adjustment is 42%, and the auxiliary power generation allocation ratio is adjusted to 58% accordingly. The instruction is sent in hexadecimal data frame format through the controller area network (CAN) bus.

[0142] Therefore, according to the above implementation method, the system can realize the dynamic optimization allocation of waste heat resources, improve the energy cascade utilization efficiency through real-time efficiency monitoring and closed-loop control, and ensure that the system maintains the optimal heat recovery effect under different load conditions.

[0143] In some embodiments, the electrical energy output parameters include crankshaft torque parameters, internal combustion engine speed parameters, and output power parameters; generating electrical energy adjustment commands based on the electrical energy output parameters of the power output integration module includes: Electrical energy correlation parameters are calculated based on crankshaft torque parameters, internal combustion engine speed parameters, and output power parameters.

[0144] Among them, the electrical energy correlation parameter refers to a comprehensive index used to evaluate the quality of electrical energy output, which is calculated through the relationship between mechanical energy and electrical energy conversion. This parameter reflects the coordinated state of the internal combustion engine power output and the generator conversion efficiency.

[0145] Specifically, the system can use a DSP to execute a polynomial calculation algorithm to weight and fuse crankshaft torque (unit: Newton-meter, N·m), internal combustion engine speed (unit: revolutions per minute, r / min), and output power (unit: kilowatt, kW), with the calculation formula as follows: For example, when the crankshaft torque is 500 N·m, the internal combustion engine speed is 1500 r / min, and the output power is 100 kW, the calculated electrical energy correlation parameter is 6.0 (dimensionless).

[0146] An energy deviation signal is generated by comparing the energy correlation parameters with a preset energy threshold.

[0147] Among them, the preset power threshold refers to the power quality target value set according to the optimal operating state of the generator; the power deviation signal refers to the standardized electrical signal that represents the difference between the actual power-related parameters and the target value.

[0148] Specifically, the system can use an analog comparator circuit to calculate the difference between the energy-related parameter and a preset threshold (e.g., 6.5), and then use a proportional-integral-derivative (PID) controller to convert the deviation into a 0-10 volt (V) voltage signal. For example, when the energy-related parameter is 6.0 and the preset energy threshold is 6.5, the generated energy deviation signal is: The corresponding output voltage is 7.5V.

[0149] Power regulation commands are generated based on power deviation signals. These commands include output voltage regulation and output frequency regulation.

[0150] Among them, the output voltage regulation refers to the change in the generator output voltage, expressed as a percentage (%); the output frequency regulation refers to the change in the generator output frequency, expressed as Hertz (Hz).

[0151] Specifically, the system can map the power deviation signal into specific adjustment commands through a microcontroller (MCU), and the mapping relationship is as follows: .

[0152] For example, when the power deviation signal is When the voltage regulation coefficient is 2% per unit deviation and the frequency regulation coefficient is 0.1Hz per unit deviation, the generated output voltage regulation is: (i.e., reduce voltage by 1%), output frequency adjustment amount is (That is, reduce the frequency by 0.05Hz), and the instruction is sent to the voltage stabilizer and frequency regulator via the Controller Area Network (CAN) bus in hexadecimal data frame format.

[0153] Therefore, according to the above implementation method, the system can achieve dynamic and precise control of power output, optimize power quality through real-time parameter monitoring and closed-loop control, and ensure that the power generation system maintains stable voltage and frequency output under load fluctuations.

[0154] In some embodiments, after inputting the power regulation command into the power output integration module, the method further includes: The real-time output voltage and frequency parameters of the power output integration module are obtained through the intelligent parameter adaptation module.

[0155] The meanings of the real-time output voltage parameters and the real-time output frequency parameters are consistent with the definitions in the foregoing embodiments of the present invention.

[0156] Specifically, the system can acquire output voltage and frequency data in real time using a high-precision voltage sensor and a digital frequency meter. The analog signals are then converted to digital signals via an analog-to-digital converter (ADC) and transmitted to the intelligent parameter adaptation module via an SPI (Serial Peripheral Interface) bus. For example, the system uses a sampling period of 100 milliseconds (ms), acquiring output voltages ranging from 220 volts (V) to 380 volts (V) and output frequencies ranging from 48 Hz (Hz) to 52 Hz, with a data update rate of 10 times per second.

[0157] The real-time output voltage parameters are compared with the preset target voltage parameters to generate a voltage deviation signal.

[0158] The meaning of the voltage deviation signal is as defined above.

[0159] Specifically, the system uses a digital comparator circuit to calculate the difference between the real-time output voltage and a preset target voltage (e.g., 380V), and then uses a proportional-integral-derivative (PID) controller to convert the deviation into a standard electrical signal. For example, when the real-time output voltage is 375V and the preset target voltage is 380V, the generated voltage deviation signal is... The output after PID processing is (Dimensionless), corresponding to a current signal of 12 mA ( ).

[0160] The real-time output frequency parameters are compared with the preset target frequency parameters to generate a frequency deviation signal.

[0161] The meaning of the frequency deviation signal is as defined above.

[0162] Specifically, the system can use a phase-locked loop (PLL) circuit to compare the phase difference between the real-time output frequency and a preset target frequency (e.g., 50Hz), converting it into a voltage-based deviation signal. For example, when the real-time output frequency is 49.5Hz and the preset target frequency is 50Hz, the generated frequency deviation signal is... Hz, corresponding voltage output Volt (V).

[0163] Power correction commands are generated based on voltage deviation signals and frequency deviation signals.

[0164] The meaning of the power correction instruction is as defined above.

[0165] Specifically, the system can execute a weighted fusion algorithm through a microcontroller (MCU) to map voltage and frequency deviations into specific adjustment values, generating digital correction instructions. For example, when the voltage deviation signal is... Frequency deviation signal is At Hz, the calculated output voltage regulation is as follows: (i.e., reduce voltage by 1%), output frequency adjustment amount is The instruction is encapsulated as a 16-byte data frame. (i.e., a reduction of 0.05Hz frequency).

[0166] The power correction command is input into the power output integration module to correct the output voltage regulation and output frequency regulation.

[0167] The meanings of output voltage regulation and output frequency regulation are as defined above.

[0168] Specifically, the system can send power correction commands to the voltage stabilizer and frequency regulator of the power output integration module via the CAN bus, driving the actuators to adjust the output. For example, the voltage stabilizer adjusts the pulse width modulation (PWM) duty cycle of the IGBT according to a -1% adjustment, and the frequency regulator adjusts the excitation current to achieve... Hz frequency correction, response time not exceeding 50 milliseconds (ms).

[0169] Therefore, according to the above implementation method, the system can realize real-time closed-loop optimization of power output, and ensure the stability and accuracy of voltage and frequency through dynamic correction, thereby improving the power quality and anti-interference capability of the power generation system.

[0170] In some embodiments, calculating fuel injection pressure adjustment parameters based on in-cylinder peak pressure parameters and output power parameters includes: The reference fuel injection pressure value is obtained by querying the preset fuel injection pressure reference mapping table, based on the in-cylinder peak pressure parameter and output power parameter.

[0171] Among them, the fuel injection pressure reference mapping table refers to a two-dimensional data table that has been pre-calibrated through experiments and stored in the intelligent parameter adaptation module. This table establishes the correspondence between the in-cylinder peak pressure parameters and output power parameters and the reference fuel injection pressure value.

[0172] Specifically, the intelligent parameter adaptation module uses a lookup algorithm to input the current values ​​of the in-cylinder peak pressure parameter and the output power parameter, and then indexes the corresponding reference fuel injection pressure value from the mapping table. For example, when the in-cylinder peak pressure parameter is 8 MPa and the output power parameter is 100 kW, the reference fuel injection pressure value obtained by querying the mapping table is 18 MPa.

[0173] Acquire real-time monitoring data collected by the fuel injection pressure sensor.

[0174] Among them, real-time fuel injection pressure monitoring data refers to the pressure value in the fuel injection pipeline measured in real time by a piezoelectric pressure sensor with a sampling frequency of 5 kHz.

[0175] Specifically, the sensor converts the analog pressure signal into a digital signal, which is then transmitted to the intelligent parameter adaptation module via an analog-to-digital converter (ADC); for example, the real-time monitoring data may be 18.5 MPa, with a measurement accuracy of ±0.01 MPa.

[0176] Calculate the deviation between the real-time fuel injection pressure monitoring data and the reference fuel injection pressure value.

[0177] The deviation value refers to the algebraic difference between the real-time monitoring data and the benchmark value, which is used to quantify the degree of deviation between the actual pressure and the target pressure.

[0178] Specifically, the intelligent parameter adaptation module performs a subtraction operation, and the deviation value is equal to the real-time monitoring data minus the reference fuel injection pressure value; for example, if the real-time monitoring data is 18.5 MPa and the reference value is 18 MPa, then the deviation value is +0.5 MPa.

[0179] The fuel injection pressure correction is generated based on the deviation value.

[0180] Among them, the fuel injection pressure correction amount refers to the compensation amount used to adjust the reference value, which is calculated by the proportional-integral-derivative (PID) control algorithm.

[0181] Specifically, the intelligent parameter adaptation module inputs the deviation value into the PID controller and outputs a correction value, the magnitude of which is proportional to the deviation value. For example, when the deviation value is +0.5 MPa, the PID algorithm generates a correction value of... Megapascals (MPa).

[0182] The reference fuel injection pressure value is added to the fuel injection pressure correction value to output the fuel injection pressure adjustment parameter.

[0183] Among them, the fuel injection pressure regulation parameter refers to the target value ultimately used to control the fuel injection pressure.

[0184] Specifically, the intelligent parameter adaptation module performs an addition operation, adjusting the parameter to be equal to the sum of the reference value and the correction amount; for example, the reference value is 18 MPa, and the correction amount is... If the value is 1000 MPa, then the adjustment parameter is 17.8 MPa.

[0185] Therefore, according to the above implementation method, the system can accurately output fuel injection pressure adjustment parameters through dynamic query and correction mechanism to ensure that the fuel injection process is adapted to the operating conditions of the internal combustion engine.

[0186] In some embodiments, the calculation of electrical energy-related parameters based on crankshaft torque parameters, internal combustion engine speed parameters, and output power parameters includes: By querying the preset electrical energy correlation parameter calculation mapping table, the reference electrical energy correlation value is obtained based on the crankshaft torque parameter, internal combustion engine speed parameter, and output power parameter.

[0187] Among them, the power correlation parameter calculation mapping table refers to a multi-dimensional data table that has been pre-calibrated through experiments and stored in the intelligent parameter adaptation module. This table establishes the correspondence between crankshaft torque parameters, internal combustion engine speed parameters, and output power parameters and the reference power correlation values.

[0188] Specifically, the intelligent parameter adaptation module uses an interpolation lookup algorithm. It takes the current values ​​of the crankshaft torque parameter, internal combustion engine speed parameter, and output power parameter as input and indexes the corresponding reference electrical energy correlation value from the mapping table. For example, when the crankshaft torque parameter is 500 N·m, the internal combustion engine speed parameter is 1500 rpm, and the output power parameter is 100 kW, the reference electrical energy correlation value obtained from the mapping table is 6.0 (dimensionless).

[0189] Acquire real-time power output parameter monitoring data, which includes real-time output voltage parameters and real-time output frequency parameters.

[0190] Among them, real-time power output parameter monitoring data refers to the power output characteristic values ​​collected in real time by high-precision voltage sensors and digital frequency meters.

[0191] Specifically, the voltage sensor measures from 220 volts (V) to 380 volts (V), and the frequency meter measures from 48 Hz to 52 Hz. The data is converted into digital signals by an analog-to-digital converter (ADC) and transmitted to the intelligent parameter adaptation module; for example, the real-time output voltage parameter is 375 volts (V), and the real-time output frequency parameter is 49.5 Hz.

[0192] Calculate the deviation between the real-time power output parameter monitoring data and the reference power correlation value; The power correlation parameter correction amount is generated based on the deviation value.

[0193] Among them, the deviation value refers to the algebraic difference between the real-time power output parameter monitoring data and the reference power correlation value; the power correlation parameter correction amount refers to the adjustment amount used to compensate for the deviation, which is calculated by the proportional-integral-derivative (PID) control algorithm.

[0194] Specifically, the intelligent parameter adaptation module performs a subtraction operation to obtain the deviation value, and then inputs the deviation value into the PID controller to generate a correction value. For example, the real-time monitoring data composite value is 5.5 (converted from voltage and frequency), the reference value is 6.0, and the deviation value is... The power correlation parameter correction value generated by the PID algorithm is +0.2 (dimensionless).

[0195] The reference energy correlation value is added to the energy correlation correction value to output the energy correlation parameter.

[0196] Among them, power correlation parameters refer to the comprehensive indicators ultimately used to evaluate the quality of power output.

[0197] Specifically, the intelligent parameter adaptation module performs an addition operation, and the output value is the sum of the reference value and the correction amount. For example, if the reference energy correlation value is 6.0 and the energy correlation correction amount is +0.2, the output energy correlation parameter is 6.2 (dimensionless).

[0198] Therefore, according to the above implementation method, the system can dynamically optimize the power correlation parameters through real-time monitoring and closed-loop correction mechanism to ensure the voltage and frequency stability of the output power.

[0199] The specific functions and examples of each module and submodule of the device in this embodiment of the invention can be found in the relevant descriptions of the corresponding steps in the above method embodiments, and will not be repeated here.

[0200] According to a fourth aspect, the present invention provides a computer device comprising: At least one processor; and a memory communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor, which are executed by the at least one processor to enable the at least one processor to execute any of the hydrogen-ammonia dual-fuel internal combustion engine power generation system control methods in the embodiments of the present invention.

[0201] According to another aspect of the present invention, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to cause a computer to execute any of the hydrogen-ammonia dual-fuel internal combustion engine power generation system control methods in the embodiments of the present invention.

[0202] Figure 3 A schematic block diagram of an example computer device 600 that can be used to implement embodiments of the present invention is shown. The computer device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The computer device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0203] like Figure 3As shown, the computer device 600 includes a computing unit 601, which can perform various appropriate actions and processes based on a computer program stored in a read-only memory (ROM) 602 or a computer program loaded from a storage unit 608 into a random access memory (RAM) 603. The RAM 603 may also store various programs and data required for the operation of the computer device 600. The computing unit 601, ROM 602, and RAM 603 are interconnected via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0204] Multiple components in computer device 600 are connected to I / O interface 605, including: input unit 606, such as keyboard, mouse, etc.; output unit 607, such as various types of monitors, speakers, etc.; storage unit 608, such as disk, optical disk, etc.; and communication unit 609, such as network card, modem, wireless transceiver, etc. Communication unit 609 allows computer device 600 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0205] The computing unit 601 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 601 performs the various methods and processes described above, such as a method for controlling a hydrogen-ammonia dual-fuel internal combustion engine power generation system. For example, in some embodiments, a method for controlling a hydrogen-ammonia dual-fuel internal combustion engine power generation system can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program can be loaded and / or installed on the computer device 600 via ROM 602 and / or communication unit 609. When the computer program is loaded into RAM 603 and executed by the computing unit 601, one or more steps of the method for controlling a hydrogen-ammonia dual-fuel internal combustion engine power generation system described above can be performed. Alternatively, in other embodiments, the computing unit 601 may be configured by any other suitable means (e.g., by means of firmware) to perform a hydrogen-ammonia dual-fuel internal combustion engine power generation system control method.

[0206] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0207] The program code used to implement the methods of the present invention can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0208] In the context of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0209] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT or LCD monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual, auditory, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0210] The systems and technologies described herein can be implemented in computing systems that include back-end components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and technologies described herein), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0211] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0212] It should be understood that the various forms of processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this invention can be achieved, and this is not limited herein.

[0213] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the principles of this invention should be included within the scope of protection of this invention.

Claims

1. A hydrogen-ammonia dual-fuel internal combustion engine power generation system, characterized in that, It is equipped with a hydrogen-ammonia dual-fuel internal combustion engine, which includes a hydrogen-ammonia fuel storage and supply module, a combustion coordination and control module, an exhaust gas turbocharging and intercooling module, a waste heat recovery and conversion module, an intelligent parameter adaptation module, and a power output integration module. The hydrogen-ammonia fuel storage and supply module is connected to the combustion coordination and control module via a fuel delivery pipeline. The combustion coordination and control module is connected to the cylinder block of the hydrogen-ammonia dual-fuel internal combustion engine and is connected to the combustion chamber of the hydrogen-ammonia dual-fuel internal combustion engine through a fuel injection pipeline. The exhaust gas turbocharger intercooler module is located between the exhaust passage and the intake passage of the hydrogen-ammonia dual-fuel internal combustion engine. The turbine input end of the exhaust gas turbocharger intercooler module is connected to the exhaust passage, and the compressor output end of the exhaust gas turbocharger intercooler module is connected to the intake passage. The waste heat recovery and conversion module is connected to the cylinder liner cooling system of the hydrogen-ammonia dual-fuel internal combustion engine through a first heat exchange pipeline, and is connected to the exhaust passage through a second heat exchange pipeline; The power output integration module is connected to the crankshaft of the hydrogen-ammonia dual-fuel internal combustion engine via a coupling. The intelligent parameter adaptation module is connected to the hydrogen-ammonia fuel storage and supply module, the combustion coordination and control module, the exhaust gas turbocharger intercooler module, the waste heat recovery and conversion module, and the power output integration module via sensing circuits.

2. A control method for a hydrogen-ammonia dual-fuel internal combustion engine power generation system, characterized in that, The method, based on the hydrogen-ammonia dual-fuel internal combustion engine power generation system as described in claim 1, is applied to the intelligent parameter adaptation module and includes: The hydrogen and ammonia fuel storage and supply module obtains the current hydrogen and ammonia fuel output parameters of the hydrogen-ammonia dual-fuel internal combustion engine, and generates a mixing ratio adjustment command based on the hydrogen and ammonia fuel output parameters. The mixing ratio adjustment command is input into the hydrogen-ammonia fuel storage and supply module to adjust the fuel mixing ratio of the hydrogen-ammonia dual-fuel internal combustion engine; Based on the real-time operating condition data of the hydrogen-ammonia dual-fuel internal combustion engine, a collaborative control command is generated and input into the combustion collaborative regulation module to adjust the fuel injection pressure, injection duration and ignition advance angle. A boost control command is generated based on the exhaust parameters of the exhaust passage, and the boost control command is input to the exhaust gas turbocharger intercooler module to adjust the turbine bypass valve opening and the intake boost pressure. Based on the waste heat parameters of the cylinder liner cooling system and the exhaust passage, a waste heat recovery control command is generated and input into the waste heat recovery conversion module to adjust the waste heat distribution ratio. The power output integration module generates a power adjustment command based on the power output parameters, and inputs the power adjustment command into the power output integration module to adjust the output voltage and frequency.

3. The method according to claim 2, characterized in that, The output parameters for hydrogen and ammonia fuel include instantaneous flow rate parameters for hydrogen fuel and instantaneous flow rate parameters for ammonia fuel; the generation of a mixing ratio adjustment command based on the output parameters for hydrogen and ammonia fuel includes: The real-time operating condition data of the hydrogen-ammonia dual-fuel internal combustion engine is obtained through the intelligent parameter adaptation module. The hydrogen volume fraction correlation parameter is calculated based on the instantaneous flow rate parameter of hydrogen fuel, the instantaneous flow rate parameter of ammonia fuel, and the real-time operating condition data. A proportional deviation signal is generated by comparing the hydrogen volume fraction correlation parameter with a preset proportional threshold. Based on the proportional deviation signal, a mixing ratio adjustment command is generated, which includes the adjustment amount of the hydrogen fuel flow control valve opening and the adjustment amount of the ammonia fuel flow control valve opening.

4. The method according to claim 3, characterized in that, The real-time operating condition data includes internal combustion engine speed parameters, in-cylinder peak pressure parameters, and output power parameters; the generation of coordinated control commands based on the real-time operating condition data of the hydrogen-ammonia dual-fuel internal combustion engine includes: The ignition advance angle adjustment parameters are calculated based on the internal combustion engine speed parameters, in-cylinder peak pressure parameters, and output power parameters. Ignition phase control commands are generated based on the ignition advance angle adjustment parameters. Calculate the fuel injection pressure adjustment parameters based on the in-cylinder peak pressure parameters and output power parameters; Generate injection pressure control commands based on the fuel injection pressure adjustment parameters; Calculate the injection duration adjustment parameters based on the internal combustion engine speed parameters and output power parameters; Generate a spray duration control command based on the spray duration adjustment parameters; The ignition phase control command, injection pressure control command, and injection duration control command are combined into the coordinated control command.

5. The method according to claim 2, characterized in that, The exhaust parameters include total exhaust waste heat parameters, internal combustion engine speed parameters, intake air temperature parameters, and intake air flow rate parameters; the generation of boost control commands based on the exhaust parameters of the exhaust passage includes: The boost pressure correlation parameters are calculated based on the total exhaust waste heat parameters, internal combustion engine speed parameters, intake air temperature parameters, and intake air flow parameters. A pressure deviation signal is generated by comparing the boost pressure correlation parameter with a preset boost pressure threshold. A boost control command is generated based on the pressure deviation signal, and the boost control command includes the turbine bypass valve opening adjustment amount.

6. The method according to claim 2, characterized in that, The waste heat parameters of the cylinder liner cooling system and the exhaust passage include the total waste heat parameters of the cylinder liner cooling water, the total waste heat parameters of the exhaust, and the total energy parameters of the fuel input; the generation of waste heat recovery control commands based on the waste heat parameters of the cylinder liner cooling system and the exhaust passage includes: Calculate the waste heat recovery efficiency parameters based on the total waste heat parameters of the cylinder liner cooling water, the total waste heat parameters of the exhaust gas, and the total energy parameters of the fuel input. An efficiency deviation signal is generated by comparing the waste heat recovery efficiency correlation parameter with a preset efficiency threshold. Based on the efficiency deviation signal, a waste heat recovery control command is generated, which includes adjustment of the waste heat distribution ratio.

7. The method according to claim 2, characterized in that, The electrical energy output parameters include crankshaft torque parameters, internal combustion engine speed parameters, and output power parameters; The generation of power regulation commands based on the power output parameters of the power output integration module includes: Calculate the electrical energy correlation parameters based on the crankshaft torque parameters, internal combustion engine speed parameters, and output power parameters; An energy deviation signal is generated by comparing the energy correlation parameters with a preset energy threshold. Based on the power deviation signal, a power adjustment command is generated, which includes an output voltage adjustment amount and an output frequency adjustment amount.

8. The method according to claim 2, characterized in that, After inputting the power regulation command into the power output integration module, the method further includes: The real-time output voltage parameters and real-time output frequency parameters of the power output integration module are obtained through the intelligent parameter adaptation module. The real-time output voltage parameter is compared with the preset target voltage parameter to generate a voltage deviation signal; The real-time output frequency parameters are compared with preset target frequency parameters to generate a frequency deviation signal; Based on the voltage deviation signal and frequency deviation signal, an energy correction command is generated; The power correction command is input into the power output integration module to correct the output voltage regulation and the output frequency regulation.

9. The method according to claim 4, characterized in that, The calculation of fuel injection pressure adjustment parameters based on the in-cylinder peak pressure parameters and output power parameters includes: The reference fuel injection pressure value is obtained by querying a preset fuel injection pressure reference mapping table, based on the in-cylinder peak pressure parameter and the output power parameter. Acquire real-time monitoring data collected by the fuel injection pressure sensor; Calculate the deviation between the real-time fuel injection pressure monitoring data and the reference fuel injection pressure value; A fuel injection pressure correction amount is generated based on the deviation value; The reference fuel injection pressure value is added to the fuel injection pressure correction amount to output the fuel injection pressure adjustment parameter.

10. The method according to claim 7, characterized in that, The calculation of electrical energy correlation parameters based on the crankshaft torque parameters, internal combustion engine speed parameters, and output power parameters includes: By querying a preset electrical energy correlation parameter calculation mapping table, a reference electrical energy correlation value is obtained based on the crankshaft torque parameter, the internal combustion engine speed parameter, and the output power parameter. Acquire real-time power output parameter monitoring data, which includes real-time output voltage parameters and real-time output frequency parameters; Calculate the deviation between the real-time power output parameter monitoring data and the reference power correlation value; Based on the deviation value, a correction amount for the power correlation parameter is generated; The reference energy correlation value is added to the energy correlation correction amount to output the energy correlation parameter.

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