Energy consumption control system based on high-speed V-shaped diesel engine

Abstract

The invention discloses an energy consumption control system based on a high-speed V-type diesel engine, and relates to the technical field of monitoring analysis, and the energy consumption control system comprises the steps of collecting operation data corresponding to the high-speed V-type diesel engine, preprocessing the operation data, generating a diesel engine operation feature set, and constructing a dynamic valve control simulation model. According to the dynamic valve control simulation model, phase deviation simulation is conducted on opening and closing timing of an intake valve and an exhaust valve under the target working condition, a valve control strategy and a cam profile parameter set are generated, the high-speed V-type diesel engine is analyzed according to the valve control strategy and the cam profile parameter set, and a combustion efficiency optimization path is generated; and designing a multi-mode fuel injection pressure modulation scheme based on the combustion efficiency optimization path, dynamically adjusting intake and exhaust valve timing and a fuel injection time sequence in combination with the multi-mode fuel injection pressure modulation scheme, and outputting an energy consumption control instruction set under target power. The method has the effect of improving the energy consumption control efficiency.

Description

Technical Field

[0001] This application relates to the field of monitoring and analysis technology, and in particular to an energy consumption control system based on a high-speed V-type diesel engine. Background Technology

[0002] As a key power source for heavy equipment, ship propulsion, and generator sets, the energy efficiency of high-speed V-type diesel engines directly affects their operational economy and environmental performance.

[0003] In related technologies, the energy consumption control method of traditional high-speed V-type diesel engines mainly relies on fixed valve timing strategy and calibrated fuel injection control. However, valve timing adjustment is mostly based on steady-state calibration and does not consider the coupling effect of phase shift and cam profile curvature change under dynamic load. This results in insufficient control accuracy of residual exhaust gas coefficient, aggravates combustion fluctuation and thermal efficiency loss, and thus reduces energy consumption control efficiency, which needs to be improved. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this application provides an energy consumption control system based on a high-speed V-type diesel engine.

[0005] In a first aspect, this application provides an energy consumption control system based on a high-speed V-type diesel engine, comprising: The sensor monitoring module is used to collect real-time operating data of the high-speed V-type diesel engine through an Internet of Things (IoT) sensor network. The data preprocessing module is used to preprocess the operating data corresponding to the high-speed V-type diesel engine, thereby generating a diesel engine operating feature set, and constructing a dynamic valve control simulation model corresponding to the high-speed V-type diesel engine based on the diesel engine operating feature set. The control strategy generation module is used to simulate the phase shift of the opening and closing timing of the intake and exhaust valves under the target operating conditions based on the dynamic valve control simulation model, and to generate a valve control strategy and a set of cam profile parameters by combining the curvature change trajectory optimization of the cam profile. The modulation scheme design module is used to analyze the high-speed V-type diesel engine based on the valve control strategy and cam profile parameter set, generate a combustion efficiency optimization path, and design a multi-mode injection pressure modulation scheme based on the combustion efficiency optimization path. The control and regulation module is used to monitor the load fluctuation characteristics of the high-speed V-type diesel engine in real time, and dynamically adjust the intake and exhaust valve timing and fuel injection sequence in combination with the multi-mode injection pressure modulation scheme, and output the energy consumption control command set under the target power.

[0006] Preferably, the operating data corresponding to the high-speed V-type diesel engine includes cylinder pressure data, intake air temperature data, exhaust oxygen concentration data, camshaft speed data, and valve lift data.

[0007] Preferably, the operating data corresponding to the high-speed V-type diesel engine is preprocessed to generate a diesel engine operating feature set, and a dynamic valve control simulation model corresponding to the high-speed V-type diesel engine is constructed based on the diesel engine operating feature set. Specifically, this includes the following steps: Based on the deployment of high-precision pressure sensors at the top of each cylinder of a high-speed V-type diesel engine, temperature sensors in the intake manifold, and wide-range oxygen sensors in the exhaust pipe, the corresponding cylinder pressure data, intake temperature data, and exhaust oxygen concentration data of the high-speed V-type diesel engine are collected simultaneously. Camshaft speed data is acquired in real time using a magnetoelectric speed sensor, and valve lift data is collected using a laser displacement sensor. The collected cylinder pressure data, intake air temperature data, exhaust oxygen concentration data, camshaft speed data and valve lift data of the high-speed V-type diesel engine are spatiotemporally aligned, and a diesel engine operating feature set is generated based on the spatiotemporal alignment processing results. Based on the time sequence corresponding to the diesel engine operating characteristic set, valve dynamics equations are established, and three-dimensional parametric modeling is performed using the finite element analysis method to construct a dynamic valve control simulation model.

[0008] Preferably, the phase shift of the opening and closing timing of the intake and exhaust valves under the target operating condition is simulated based on the dynamic valve control simulation model, and combined with the optimization of the curvature change trajectory of the cam profile, a valve control strategy and a set of cam profile parameters are generated, specifically including the following steps: Acquire historical residual exhaust gas coefficient data for early intake valve closing and late exhaust valve opening under target operating conditions, and then construct a relationship graph between phase offset and residual exhaust gas coefficient based on the historical residual exhaust gas coefficient data; The curvature change trajectory of the cam profile is obtained, and the curvature change trajectory of the cam profile is divided into different stages. Curvature continuity processing is performed on each different stage, and the contact stress of the cam profile is determined based on the processing results. The phase offset is predicted based on the dynamic valve control simulation model, and a preset phase offset range is selected. Based on the relationship between phase offset and residual exhaust gas coefficient, the residual exhaust gas coefficient corresponding to the phase offset interval is identified. Then, based on the residual exhaust gas coefficient and the contact stress of the cam profile, multi-objective optimization is performed to generate valve control strategy and cam profile parameter set.

[0009] Preferably, the high-speed V-type diesel engine is analyzed based on the valve control strategy and cam profile parameter set to generate a combustion efficiency optimization path; a multi-mode injection pressure modulation scheme is designed based on the combustion efficiency optimization path, specifically including the following steps: The valve control strategy and cam profile parameter set are preprocessed to generate a turbulent flow field simulation environment, and a three-dimensional vortex model of the combustion chamber is established based on the turbulent flow field simulation environment. Based on the three-dimensional vortex model of the combustion chamber and combined with the valve control strategy, the change of the intake passage cross-sectional area under different valve lifts is simulated, and the turbulent kinetic energy distribution cloud map corresponding to each crankshaft angle is calculated. Based on the turbulent kinetic energy distribution cloud map corresponding to each crankshaft rotation angle, a two-way coupled analysis of fuel spray and turbulent flow field is performed to extract the combustion efficiency optimization path; Based on the combustion efficiency optimization path, a three-dimensional mapping relationship is constructed between the main injection time, pre-injection interval, and post-injection ratio to generate a multi-mode injection pressure modulation scheme.

[0010] Preferably, the load fluctuation characteristic data corresponding to the high-speed V-type diesel engine is monitored in real time, and the intake and exhaust valve timing and fuel injection sequence are dynamically adjusted in conjunction with the multi-mode injection pressure modulation scheme to output an energy consumption control command set under the target power, specifically including: Real-time data collection of crankshaft speed fluctuation rate, turbocharger surge frequency and common rail pressure oscillation amplitude for high-speed V-type diesel engines is conducted through edge computing nodes to construct load fluctuation characteristic data. The load fluctuation characteristic data is evaluated and processed to determine the evaluation coefficients corresponding to the load fluctuation characteristic data, and then the optimal injection pressure modulation scheme is determined based on the evaluation coefficients. The intake and exhaust valve timings and fuel injection sequence are dynamically adjusted based on the optimal injection pressure modulation scheme to generate an energy consumption control command set.

[0011] Secondly, this application provides an energy consumption control method based on a high-speed V-type diesel engine, comprising the following steps: Real-time data collection of high-speed V-type diesel engines is achieved through an Internet of Things (IoT) sensor network. The operating data of the high-speed V-type diesel engine is preprocessed to generate a diesel engine operating feature set, and a dynamic valve control simulation model of the high-speed V-type diesel engine is constructed based on the diesel engine operating feature set. Based on the dynamic valve control simulation model, the phase offset of the opening and closing timing of the intake and exhaust valves under the target operating conditions is simulated, and combined with the curvature change trajectory optimization of the cam profile, a valve control strategy and a set of cam profile parameters are generated. Based on the valve control strategy and cam profile parameter set, the high-speed V-type diesel engine is analyzed to generate a combustion efficiency optimization path; based on the combustion efficiency optimization path, a multi-mode injection pressure modulation scheme is designed. The system monitors the load fluctuation characteristics of the high-speed V-type diesel engine in real time, and dynamically adjusts the intake and exhaust valve timing and fuel injection sequence in conjunction with the multi-mode injection pressure modulation scheme, outputting a set of energy consumption control commands under the target power.

[0012] Thirdly, this application provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to execute any of the above-described energy consumption control systems based on a high-speed V-type diesel engine.

[0013] In summary, this application includes the following beneficial technical effects: This application provides an energy consumption control system based on a high-speed V-type diesel engine. It collects and processes the operating data of the high-speed V-type diesel engine to generate an engine operating feature set. Based on this feature set, a dynamic valve control simulation model for the high-speed V-type diesel engine is constructed. The model simulates the phase shift of the intake and exhaust valve timings under target operating conditions. Combined with cam profile curvature change trajectory optimization, a valve control strategy and cam profile parameter set are generated. The high-speed V-type diesel engine is analyzed based on the valve control strategy and cam profile parameter set to generate a combustion efficiency optimization path. A multi-mode injection pressure modulation scheme is designed based on this path. The system monitors the load fluctuation characteristics of the high-speed V-type diesel engine in real time and dynamically adjusts the intake and exhaust valve timings and fuel injection sequence using the multi-mode injection pressure modulation scheme. It outputs an energy consumption control command set under the target power, thereby effectively improving the intelligent control and optimization of the high-speed V-type diesel engine and thus significantly improving energy consumption control efficiency. Attached Figure Description

[0014] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is a schematic diagram of the energy consumption control system based on a high-speed V-type diesel engine according to an embodiment of this application.

[0016] Figure 2 This is a flowchart of the energy consumption control method based on a high-speed V-type diesel engine according to an embodiment of this application. Detailed Implementation

[0017] The following is in conjunction with the appendix Figure 1-2 This application will be described in further detail.

[0018] Example 1 This application discloses an energy consumption control system based on a high-speed V-type diesel engine.

[0019] Reference Figure 1 An energy consumption control system based on a high-speed V-type diesel engine includes: The sensor monitoring module is used to collect real-time operating data of the high-speed V-type diesel engine through an Internet of Things (IoT) sensor network. The data preprocessing module is used to preprocess the operating data corresponding to the high-speed V-type diesel engine, thereby generating a diesel engine operating feature set, and constructing a dynamic valve control simulation model corresponding to the high-speed V-type diesel engine based on the diesel engine operating feature set. The control strategy generation module is used to simulate the phase shift of the opening and closing timing of the intake and exhaust valves under the target operating conditions based on the dynamic valve control simulation model, and to generate a valve control strategy and a set of cam profile parameters by combining the curvature change trajectory optimization of the cam profile. The modulation scheme design module is used to analyze the high-speed V-type diesel engine based on the valve control strategy and cam profile parameter set, generate a combustion efficiency optimization path, and design a multi-mode injection pressure modulation scheme based on the combustion efficiency optimization path. The control and regulation module is used to monitor the load fluctuation characteristics of the high-speed V-type diesel engine in real time, and dynamically adjust the intake and exhaust valve timing and fuel injection sequence in combination with the multi-mode injection pressure modulation scheme, and output the energy consumption control command set under the target power.

[0020] By adopting the above technical solution, in the process of controlling and optimizing the high-speed V-type diesel engine, the above modules work closely together, from data acquisition to model building, then to control strategy generation, modulation scheme design and final control regulation, forming a complete and efficient system. The sensor monitoring module collects the corresponding operating data of the high-speed V-type diesel engine in real time through the Internet of Things (IoT) sensor network. During the operation of the high-speed V-type diesel engine, the IoT sensor network plays a key role. Various sensors are deployed in different parts of the diesel engine, and the various sensors transmit the collected operating data to the data preprocessing module through the IoT to provide raw data for subsequent analysis and processing. Secondly, the data preprocessing module preprocesses the operating data corresponding to the high-speed V-type diesel engine to generate a diesel engine operating feature set. Based on the diesel engine operating feature set, a dynamic valve control simulation model corresponding to the high-speed V-type diesel engine is constructed. After receiving the operating data from the sensor monitoring module, the data preprocessing module cleans the data, removes noise and outliers to ensure the accuracy of the data, and extracts features related to the diesel engine's operating state, such as temperature change rate, pressure fluctuation amplitude, and speed stability, through data analysis and mining techniques, generating a diesel engine operating feature set. Based on the diesel engine operating feature set, mathematical modeling and simulation techniques are used to construct a dynamic valve control simulation model corresponding to the high-speed V-type diesel engine. For example, based on the diesel engine's operating characteristics, the opening and closing process of the valves under different operating conditions and the impact of valve control on the diesel engine's performance are simulated. The control strategy generation module simulates the phase shift of the intake and exhaust valve opening and closing timings under target operating conditions based on the dynamic valve control simulation model. Combined with optimization of the cam profile curvature change trajectory, it generates a valve control strategy and a set of cam profile parameters. The dynamic valve control simulation model provides the foundation for the control strategy generation module. For the target operating conditions, the module simulates the phase shift of the intake and exhaust valve opening and closing timings, analyzes the impact of different phase shifts on diesel engine performance, and considers the cam profile curvature change trajectory. By optimizing cam profile parameters, such as the cam's profile shape and curvature, valve control is optimized. For example, under high load conditions, by adjusting the valve opening and closing timings and cam profile parameters, intake efficiency is improved and combustion is enhanced. Based on the simulation and optimization results, a valve control strategy and a set of cam profile parameters are generated, providing a basis for subsequent modulation scheme design. The modulation scheme design module analyzes the high-speed V-type diesel engine based on the valve control strategy and cam profile parameter set to generate a combustion efficiency optimization path. Based on this optimization path, a multi-mode injection pressure modulation scheme is designed. The module combines the valve control strategy and cam profile parameter set to analyze the combustion process of the high-speed V-type diesel engine. Through analysis, it determines the combustion efficiency optimization path, such as optimizing parameters like fuel injection quantity and injection time. Based on this path, a multi-mode injection pressure modulation scheme is designed. For example, under low-load conditions, lower injection pressure and injection rate are used to reduce fuel consumption; under high-load conditions, injection pressure and injection rate are increased to improve combustion efficiency. This multi-mode injection pressure modulation scheme can dynamically adjust the injection pressure according to different operating conditions of the diesel engine, achieving reasonable fuel injection and improving combustion efficiency. The control and regulation module monitors the load fluctuation characteristics of the high-speed V-type diesel engine in real time, and dynamically adjusts the intake and exhaust valve timing and fuel injection sequence in conjunction with a multi-mode injection pressure modulation scheme. It then outputs a set of energy consumption control commands for the target power. By monitoring the load fluctuation characteristics of the diesel engine in real time, such as the load magnitude and rate of change, and combining this with the multi-mode injection pressure modulation scheme, the control and regulation module dynamically adjusts the intake and exhaust valve timing and fuel injection sequence. For example, when the load suddenly increases, the control and regulation module increases the injection pressure and injection rate according to the multi-mode injection pressure modulation scheme, while simultaneously adjusting the intake and exhaust valve timing to increase the intake air volume to meet the load demand. Based on the adjustment results, it outputs a set of energy consumption control commands for the target power, achieving effective control of the energy consumption of the high-speed V-type diesel engine and improving its operating efficiency and economy. Through the coordinated work of these modules, from data acquisition to final control and regulation, the intelligent control and optimization of the high-speed V-type diesel engine is effectively improved, thereby significantly enhancing energy consumption control efficiency.

[0021] Furthermore, the operating data corresponding to the high-speed V-type diesel engine includes cylinder pressure data, intake air temperature data, exhaust oxygen concentration data, camshaft speed data, and valve lift data.

[0022] It should be noted that the preprocessing of the operating data corresponding to the high-speed V-type diesel engine to generate a diesel engine operating feature set, and the construction of a dynamic valve control simulation model for the high-speed V-type diesel engine based on the diesel engine operating feature set, specifically includes the following steps: Based on the deployment of high-precision pressure sensors at the top of each cylinder of a high-speed V-type diesel engine, temperature sensors in the intake manifold, and wide-range oxygen sensors in the exhaust pipe, the corresponding cylinder pressure data, intake temperature data, and exhaust oxygen concentration data of the high-speed V-type diesel engine are collected simultaneously. Camshaft speed data is acquired in real time using a magnetoelectric speed sensor, and valve lift data is collected using a laser displacement sensor. The collected cylinder pressure data, intake air temperature data, exhaust oxygen concentration data, camshaft speed data and valve lift data of the high-speed V-type diesel engine are spatiotemporally aligned, and a diesel engine operating feature set is generated based on the spatiotemporal alignment processing results. Based on the time sequence corresponding to the diesel engine operating characteristic set, valve dynamics equations are established, and three-dimensional parametric modeling is performed using the finite element analysis method to construct a dynamic valve control simulation model.

[0023] Specifically, a high-precision pressure sensor is deployed at the top of each cylinder of the high-speed V-type diesel engine, a temperature sensor is deployed in the intake manifold, and a wide-range oxygen sensor is deployed in the exhaust pipe. These sensors simultaneously collect cylinder pressure data, intake air temperature data, and exhaust oxygen concentration data for the corresponding high-speed V-type diesel engine. The high-precision pressure sensor, installed at the top of each cylinder, can monitor real-time pressure changes within the cylinder. For example, during combustion, the cylinder pressure rises rapidly as combustion progresses, and the high-precision pressure sensor can accurately capture these pressure changes. The temperature sensor, deployed in the intake manifold, measures the intake air temperature entering the cylinder. Changes in intake air temperature affect combustion efficiency and engine performance, and the temperature sensor can accurately collect intake air temperature data. The wide-range oxygen sensor, deployed in the exhaust pipe, detects the oxygen concentration in the exhaust. Exhaust oxygen concentration reflects the completeness of combustion, and the wide-range oxygen sensor can provide accurate exhaust oxygen concentration data. All these sensors operate synchronously, collecting the corresponding data in real time and transmitting the data to the data processing unit via the Internet of Things or other data transmission methods. The system acquires camshaft speed data in real time using a magnetoelectric speed sensor and valve lift data using a laser displacement sensor. The magnetoelectric speed sensor is installed near the camshaft and acquires camshaft speed data by detecting the camshaft speed. The camshaft speed directly affects the opening and closing timing of the valves. The magnetoelectric speed sensor can accurately measure the changes in camshaft speed in real time. The laser displacement sensor is used to acquire valve lift data, which can accurately measure the displacement of the valve during the opening and closing process, i.e., valve lift. Accurate valve lift data is crucial for analyzing the working status of the valves and optimizing valve control strategies. The laser displacement sensor measures the valve displacement by emitting a laser and receiving the reflected light, and can provide high-precision valve lift data. Secondly, the collected cylinder pressure data, intake air temperature data, exhaust oxygen concentration data, camshaft speed data, and valve lift data of the high-speed V-type diesel engine are subjected to spatiotemporal alignment processing. Based on the spatiotemporal alignment processing results, a diesel engine operating feature set is generated. Since the time intervals and time starting points of the data collected by different sensors may be different, the above data needs to be spatiotemporally aligned. Spatiotemporal alignment processing includes time synchronization and spatial correspondence. Time synchronization adjusts the data collected by each sensor according to a unified time axis to ensure the consistency of the data in time. Spatial correspondence corresponds the sensor data at different locations with the various components of the diesel engine. For example, the pressure data at the top of the cylinder is associated with the corresponding cylinder position. After spatiotemporal alignment processing, the above data is analyzed and processed to extract features related to the operating state of the diesel engine, such as the pressure change rate, temperature fluctuation amplitude, oxygen concentration change trend, camshaft speed stability, and valve lift change law, etc., to generate a diesel engine operating feature set. Finally, valve dynamics equations were established based on the time-series data corresponding to the diesel engine's operating characteristics. A three-dimensional parametric model was then constructed using finite element analysis to build a dynamic valve control simulation model. The time-series data in the diesel engine's operating characteristics set reflects the changes of various parameters over time. Based on this time-series data, valve dynamics equations were established using dynamic principles. These equations describe the motion and force conditions of the valves during opening and closing. Using finite element analysis, the components of the diesel engine were discretized to establish a three-dimensional parametric model. In this three-dimensional parametric model, considering the structural characteristics and operating conditions of the diesel engine, precise modeling was performed on components such as valves, camshafts, and cylinders. Through finite element analysis, the operating state of a diesel engine under different working conditions is simulated, including valve movement, pressure distribution, and temperature changes. Based on a three-dimensional parametric model and valve dynamics equations, a dynamic valve control simulation model is constructed. This model can simulate the impact of valve control strategies on diesel engine performance, providing a basis for optimizing valve control. Through these steps, from multi-sensor data acquisition to data processing and model building, comprehensive monitoring and accurate modeling of the operating state of a high-speed V-type diesel engine are achieved, providing strong support for performance optimization and control strategy formulation for high-speed V-type diesel engines.

[0024] It should be noted that, based on the dynamic valve control simulation model, the phase shift of the opening and closing timing of the intake and exhaust valves under the target operating conditions is simulated, and combined with the optimization of the curvature change trajectory of the cam profile, a valve control strategy and a set of cam profile parameters are generated. Specifically, this includes the following steps: Acquire historical residual exhaust gas coefficient data for early intake valve closing and late exhaust valve opening under target operating conditions, and then construct a relationship graph between phase offset and residual exhaust gas coefficient based on the historical residual exhaust gas coefficient data; The curvature change trajectory of the cam profile is obtained, and the curvature change trajectory of the cam profile is divided into different stages. Curvature continuity processing is performed on each different stage, and the contact stress of the cam profile is determined based on the processing results. The phase offset is predicted based on the dynamic valve control simulation model, and a preset phase offset range is selected. Based on the relationship between phase offset and residual exhaust gas coefficient, the residual exhaust gas coefficient corresponding to the phase offset interval is identified. Then, based on the residual exhaust gas coefficient and the contact stress of the cam profile, multi-objective optimization is performed to generate valve control strategy and cam profile parameter set.

[0025] Specifically, historical residual exhaust gas coefficient data for early intake valve closing and late exhaust valve opening under target operating conditions are obtained. Then, a relationship graph between phase offset and residual exhaust gas coefficient is constructed based on this historical residual exhaust gas coefficient data. Under target operating conditions, the residual exhaust gas coefficient is monitored in real time by high-precision sensors when the intake valve closes early and the exhaust valve opens late, and historical data is recorded. For example, under a specific operating condition of a high-speed V-type diesel engine, residual exhaust gas coefficient data for early intake valve closing and late exhaust valve opening are continuously collected over a period of time. The historical data is analyzed to find the relationship between phase offset (the change in intake valve closing time and exhaust valve opening time) and residual exhaust gas coefficient. A relationship graph between phase offset and residual exhaust gas coefficient is constructed using data fitting methods. For example, historical data points are plotted on the graph with phase offset as the horizontal axis and residual exhaust gas coefficient as the vertical axis. The functional relationship between the two is obtained through curve fitting, intuitively demonstrating the impact of phase offset on residual exhaust gas coefficient. Secondly, the curvature change trajectory of the cam profile is obtained, and the curvature change of the cam profile is divided into different stages. The curvature of each stage is then processed to make the curvature continuous. Based on the processing results, the contact stress of the cam profile is determined. High-precision measuring equipment such as laser displacement sensors is used to obtain the curvature change trajectory data of the cam profile. For example, during the rotation of the camshaft, the curvature change of each point of the cam profile is measured in real time. According to the characteristics of the curvature change, the curvature change of the cam profile is divided into different stages, such as the intake stage, compression stage, combustion stage, and exhaust stage. The curvature of each stage is processed to make the curvature change smoother and more continuous, for example, by using spline curve fitting. Based on the processed curvature data, the contact stress between the cam profile and the valve is calculated. For example, based on the curvature of the cam profile, the movement speed and acceleration of the valve, and the elastic modulus of the material, the contact stress of the cam profile is calculated using a contact mechanics model, providing important parameters for subsequent optimization. Based on the dynamic valve control simulation model, the phase offset is predicted, and a preset phase offset range is selected. The dynamic valve control simulation model simulates the operating state of the diesel engine under different phase offsets based on previously collected data and established models. Through model prediction, the performance indicators of the diesel engine under different phase offsets, such as power, fuel consumption, and emissions, are obtained. Based on these prediction results, a preset phase offset range is selected. For example, the preset phase offset range is between -10° and 10°. The simulation model calculates the diesel engine performance data corresponding to different phase offsets within this range, and selects the phase offset range that can make the diesel engine performance optimal. For example, the diesel engine has the lowest fuel consumption and meets the emission standards between -5° and 5°. Finally, based on the relationship between phase offset and residual exhaust gas coefficient, the residual exhaust gas coefficient corresponding to the phase offset interval is identified. Multi-objective optimization is then performed based on the residual exhaust gas coefficient and cam profile contact stress to generate valve control strategies and cam profile parameter sets. According to the phase offset interval, the corresponding residual exhaust gas coefficient is obtained from the relationship between phase offset and residual exhaust gas coefficient. For example, within the selected phase offset interval [-5°, 5°], the residual exhaust gas coefficient corresponding to different phase offsets within this interval is obtained from the relationship. Combining the residual exhaust gas coefficient and cam profile contact stress, multi-objective optimization is performed. The objectives of multi-objective optimization can be to improve combustion efficiency, reduce fuel consumption, reduce emissions, and reduce cam profile contact stress. By optimizing algorithms such as genetic algorithms and particle swarm optimization, the optimal valve control strategy and cam profile parameters are found. For example, in the multi-objective optimization process, the opening and closing times (i.e., phase offset) of the intake and exhaust valves are adjusted, while the parameters of the cam profile, such as the profile shape and curvature, are optimized. This ensures that the diesel engine meets various performance indicators while minimizing the contact stress of the cam profile. Finally, a set of valve control strategies and cam profile parameters is generated, providing specific operational guidance for the optimized operation of high-speed V-type diesel engines. Through the above steps, multi-objective optimization is obtained from historical data, which improves the optimization of valve control strategies and cam profile parameters for high-speed V-type diesel engines, thereby effectively improving energy consumption control efficiency. It should be noted that, based on the valve control strategy and cam profile parameter set, the high-speed V-type diesel engine is analyzed to generate a combustion efficiency optimization path; based on the combustion efficiency optimization path, a multi-mode injection pressure modulation scheme is designed, specifically including the following steps: The valve control strategy and cam profile parameter set are preprocessed to generate a turbulent flow field simulation environment, and a three-dimensional vortex model of the combustion chamber is established based on the turbulent flow field simulation environment. Based on the three-dimensional vortex model of the combustion chamber and combined with the valve control strategy, the change of the intake passage cross-sectional area under different valve lifts is simulated, and the turbulent kinetic energy distribution cloud map corresponding to each crankshaft angle is calculated. Based on the turbulent kinetic energy distribution cloud map corresponding to each crankshaft rotation angle, a two-way coupled analysis of fuel spray and turbulent flow field is performed to extract the combustion efficiency optimization path; Based on the combustion efficiency optimization path, a three-dimensional mapping relationship is constructed between the main injection time, pre-injection interval, and post-injection ratio to generate a multi-mode injection pressure modulation scheme.

[0026] Specifically, the valve control strategy and cam profile parameter set are preprocessed to generate a turbulent flow field simulation environment. Based on this turbulent flow field simulation environment, a three-dimensional vortex model of the combustion chamber is established. The valve control strategy determines the valve opening and closing time and lift, while the cam profile parameter set affects the valve's movement trajectory. During the preprocessing process, the above parameters are integrated and adjusted to meet actual operating requirements. For example, according to different operating conditions of the diesel engine, the opening and closing phases of the intake and exhaust valves in the valve control strategy, as well as the cam profile shape and curvature in the cam profile parameters, are adjusted. By adjusting the above parameters, a turbulent flow field simulation environment is generated. In the turbulent flow field simulation environment, the flow state of the gas in the combustion chamber is simulated, including the gas velocity, pressure, and turbulence intensity. Based on the turbulent flow field simulation environment, a three-dimensional vortex model of the combustion chamber is established using computational fluid dynamics methods. In the process of establishing the model, factors such as gas compression, expansion, and interaction with fuel spray are considered to accurately simulate the physical and chemical processes in the combustion chamber. Based on a three-dimensional vortex model of the combustion chamber and combined with valve control strategies, the change in the cross-sectional area of ​​the intake manifold under different valve lifts was simulated, and the turbulent kinetic energy distribution cloud map corresponding to each crankshaft angle was calculated. The three-dimensional vortex model of the combustion chamber provides the basis for simulating the change in the cross-sectional area of ​​the intake manifold. Combined with the valve control strategy, the valve lift is changed, thereby causing a change in the cross-sectional area of ​​the intake manifold. For example, when the valve lift increases, the cross-sectional area of ​​the intake manifold increases, and the velocity and flow rate of the gas flowing into the combustion chamber will also change accordingly. Under different valve lifts, the turbulent kinetic energy distribution cloud map corresponding to each crankshaft angle was calculated according to the three-dimensional vortex model of the combustion chamber. In the calculation process, the flow characteristics of the gas and the influence of the valve control strategy were considered, and the turbulent kinetic energy distribution of the gas in the combustion chamber under different crankshaft angles was accurately calculated. The turbulent kinetic energy distribution cloud map intuitively shows the degree of turbulence and energy distribution of the gas in the combustion chamber, providing an important basis for subsequent analysis. Secondly, a two-way coupling analysis of fuel spray and turbulent field is conducted based on the turbulent kinetic energy distribution cloud map corresponding to each crankshaft angle to extract the combustion efficiency optimization path. The turbulent kinetic energy distribution cloud map corresponding to each crankshaft angle reflects the flow state of the gas in the combustion chamber, and there is an interaction between fuel spray and turbulent field. During the two-way coupling analysis, on the one hand, the momentum of fuel spray affects the distribution of turbulent field; for example, the injection velocity and angle of fuel spray will change the flow direction and velocity of gas. On the other hand, turbulent field also affects the diffusion and mixing of fuel spray. For example, in the region of higher turbulent kinetic energy, fuel spray can mix better with air, promoting combustion. Through the two-way coupling analysis of fuel spray and turbulent field, the mutual influence between the two is studied in depth, and the combustion efficiency optimization path is extracted. The combustion efficiency optimization path may include adjusting the valve control strategy to change the turbulent kinetic energy distribution of the intake duct, or adjusting the fuel spray parameters to adapt to the changes in turbulent field, thereby improving combustion efficiency. Finally, based on the combustion efficiency optimization path, a three-dimensional mapping relationship between the main injection timing, pre-injection interval, and post-injection ratio is constructed, generating a multi-mode injection pressure modulation scheme. The combustion efficiency optimization path provides guidance for constructing this three-dimensional mapping relationship. The main injection timing determines the timing of the main fuel injection, the pre-injection interval affects the time difference between the pre-injected fuel and the main injection fuel, and the post-injection ratio determines the proportion of post-injected fuel in the total fuel quantity. Through simulation and analysis of different main injection timings, pre-injection intervals, and post-injection ratios, a three-dimensional mapping relationship is constructed. For example, under certain combustion efficiency optimization paths, it may be found that advancing the main injection timing, increasing the pre-injection interval, and... Adjusting the injection ratio can improve combustion efficiency. Based on the above relationship, a multi-mode injection pressure modulation scheme is generated. This scheme involves adjusting the injection pressure according to the combustion efficiency optimization path under different operating conditions. For example, under high load conditions, the injection pressure is increased to improve fuel injection speed and atomization effect; under low load conditions, the injection pressure is reduced to reduce fuel consumption. Through the above steps, from the preprocessing of valve control strategy and cam profile parameter set to the generation of multi-mode injection pressure modulation scheme, the combustion process of high-speed V-type diesel engine is optimized, improving combustion efficiency, reducing fuel consumption and emissions, and enhancing the overall performance of the diesel engine.

[0027] It should be noted that the system monitors the load fluctuation characteristics of the high-speed V-type diesel engine in real time, and dynamically adjusts the intake and exhaust valve timing and fuel injection sequence in conjunction with the multi-mode injection pressure modulation scheme to output a set of energy consumption control commands at the target power, specifically including: Real-time data collection of crankshaft speed fluctuation rate, turbocharger surge frequency and common rail pressure oscillation amplitude for high-speed V-type diesel engines is conducted through edge computing nodes to construct load fluctuation characteristic data. The load fluctuation characteristic data is evaluated and processed to determine the evaluation coefficients corresponding to the load fluctuation characteristic data, and then the optimal injection pressure modulation scheme is determined based on the evaluation coefficients. The intake and exhaust valve timings and fuel injection sequence are dynamically adjusted based on the optimal injection pressure modulation scheme to generate an energy consumption control command set.

[0028] Specifically, edge computing nodes collect real-time data on crankshaft speed fluctuation, turbocharger surge frequency, and common rail pressure oscillation amplitude of the high-speed V-type diesel engine to construct load fluctuation characteristic data. During the operation of the high-speed V-type diesel engine, the edge computing nodes play a crucial role in data acquisition. Various sensors installed on the diesel engine, such as speed sensors, monitor crankshaft speed changes in real time and calculate crankshaft speed fluctuation to reflect crankshaft speed stability. Turbocharger surge frequency can be monitored by pressure and vibration sensors, which capture the surge situation of the turbocharger during operation in real time to obtain surge frequency data. The common rail pressure oscillation amplitude is calculated by pressure sensors collecting pressure fluctuation data in the common rail system in real time. The edge computing nodes integrate the collected data to construct load fluctuation characteristic data, comprehensively reflecting the load fluctuation of the high-speed V-type diesel engine under different operating conditions. For example, when the diesel engine load increases, the crankshaft speed fluctuation may increase, the turbocharger surge frequency may rise, and the common rail pressure oscillation amplitude may also change. Secondly, the load fluctuation characteristic data is evaluated and processed to determine the corresponding evaluation coefficients. Based on these coefficients, the optimal injection pressure modulation scheme is then determined. Evaluating and processing the collected load fluctuation characteristic data is a crucial step. Through data analysis, combined with the diesel engine's operating characteristics and performance indicators, data such as crankshaft speed fluctuation rate, turbocharger surge frequency, and common rail pressure oscillation amplitude are comprehensively analyzed. For example, different weights are assigned to measure the impact of the data on diesel engine performance. For crankshaft speed fluctuation rate, a higher fluctuation rate may indicate unstable diesel engine operation, thus giving it a higher weight; excessively high turbocharger surge frequency... The load fluctuation characteristics data may affect the turbocharging effect and the reliability of the diesel engine, and are therefore given corresponding weights. Excessive common rail pressure oscillation amplitude may affect the accuracy of fuel injection, and its weight is also determined. Based on the weights, the evaluation coefficients corresponding to the load fluctuation characteristics data are calculated. The evaluation coefficients reflect the comprehensive impact of load fluctuations on the performance of the diesel engine. Based on the evaluation coefficients, combined with the operating conditions and performance requirements of the diesel engine, the optimal fuel injection pressure modulation scheme is determined. For example, if the evaluation coefficients indicate that the current load fluctuation is large, the fuel injection pressure is adjusted to adapt to the load change, such as appropriately increasing the fuel injection pressure when the load increases and decreasing the fuel injection pressure when the load decreases, so as to ensure the stable operation and efficient work of the diesel engine. Finally, the intake and exhaust valve timing and fuel injection sequence are dynamically adjusted according to the optimal injection pressure modulation scheme to generate an energy consumption control command set. The optimal injection pressure modulation scheme provides a basis for dynamically adjusting the intake and exhaust valve timing and fuel injection sequence. Based on the adjustment of injection pressure, the opening and closing times of the intake and exhaust valves, as well as the timing and duration of fuel injection, are adjusted accordingly. For example, when the injection pressure increases, the intake valve opening time is advanced to increase the intake air volume, and the fuel injection sequence is adjusted to ensure more complete combustion. Through dynamic adjustment, the combustion process of the diesel engine is optimized, combustion efficiency is improved, and energy consumption is reduced. The above adjustment measures are converted into specific instructions to generate an energy consumption control instruction set. The energy consumption control instruction set contains precise control instructions for intake and exhaust valve timing and fuel injection sequence, ensuring that the diesel engine can operate in the best condition under different load conditions and achieve effective energy consumption control. Through the above steps, from real-time acquisition of load fluctuation characteristic data, to evaluation, processing and confirmation of the optimal injection pressure modulation scheme, and then to dynamic adjustment of intake and exhaust valve timing and fuel injection sequence to generate an energy consumption control instruction set, the accuracy of responding to load fluctuations and the optimization of energy consumption control in high-speed V-type diesel engines are improved, thereby effectively improving energy consumption control efficiency.

[0029] Example 2 This application also discloses an energy consumption control method based on a high-speed V-type diesel engine.

[0030] Reference Figure 2 An energy consumption control method based on a high-speed V-type diesel engine includes the following steps: Real-time data collection of high-speed V-type diesel engines is achieved through an Internet of Things (IoT) sensor network. The operating data of the high-speed V-type diesel engine is preprocessed to generate a diesel engine operating feature set, and a dynamic valve control simulation model of the high-speed V-type diesel engine is constructed based on the diesel engine operating feature set. Based on the dynamic valve control simulation model, the phase offset of the opening and closing timing of the intake and exhaust valves under the target operating conditions is simulated, and combined with the curvature change trajectory optimization of the cam profile, a valve control strategy and a set of cam profile parameters are generated. Based on the valve control strategy and cam profile parameter set, the high-speed V-type diesel engine is analyzed to generate a combustion efficiency optimization path; based on the combustion efficiency optimization path, a multi-mode injection pressure modulation scheme is designed. The system monitors the load fluctuation characteristics of the high-speed V-type diesel engine in real time, and dynamically adjusts the intake and exhaust valve timing and fuel injection sequence in conjunction with the multi-mode injection pressure modulation scheme, outputting a set of energy consumption control commands under the target power.

[0031] The above content is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention, they should all fall within the protection scope of the present invention.

[0032] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0033] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention.

Claims

1. An energy consumption control system based on a high-speed V-type diesel engine, characterized in that, include: The sensor monitoring module is used to collect real-time operating data of the high-speed V-type diesel engine through an Internet of Things (IoT) sensor network. The data preprocessing module is used to preprocess the operating data corresponding to the high-speed V-type diesel engine, thereby generating a diesel engine operating feature set, and constructing a dynamic valve control simulation model corresponding to the high-speed V-type diesel engine based on the diesel engine operating feature set. The control strategy generation module is used to simulate the phase shift of the opening and closing timing of the intake and exhaust valves under the target operating conditions based on the dynamic valve control simulation model, and to generate a valve control strategy and a set of cam profile parameters by combining the curvature change trajectory optimization of the cam profile. The modulation scheme design module is used to analyze the high-speed V-type diesel engine based on the valve control strategy and cam profile parameter set, and generate a combustion efficiency optimization path; A multi-mode fuel injection pressure modulation scheme is designed based on the aforementioned combustion efficiency optimization path; The control and regulation module is used to monitor the load fluctuation characteristics of the high-speed V-type diesel engine in real time, and dynamically adjust the intake and exhaust valve timing and fuel injection sequence in combination with the multi-mode injection pressure modulation scheme, and output the energy consumption control command set under the target power.

2. The energy consumption control system based on a high-speed V-type diesel engine according to claim 1, characterized in that, The operating data corresponding to the high-speed V-type diesel engine includes cylinder pressure data, intake air temperature data, exhaust oxygen concentration data, camshaft speed data, and valve lift data.

3. The energy consumption control system based on a high-speed V-type diesel engine according to claim 2, characterized in that, The operating data of the high-speed V-type diesel engine is preprocessed to generate a diesel engine operating feature set, and a dynamic valve control simulation model for the high-speed V-type diesel engine is constructed based on the diesel engine operating feature set. The specific steps include: Based on the deployment of high-precision pressure sensors at the top of each cylinder of a high-speed V-type diesel engine, temperature sensors in the intake manifold, and wide-range oxygen sensors in the exhaust pipe, the corresponding cylinder pressure data, intake temperature data, and exhaust oxygen concentration data of the high-speed V-type diesel engine are collected simultaneously. Camshaft speed data is acquired in real time using a magnetoelectric speed sensor, and valve lift data is collected using a laser displacement sensor. The collected cylinder pressure data, intake air temperature data, exhaust oxygen concentration data, camshaft speed data and valve lift data of the high-speed V-type diesel engine are spatiotemporally aligned, and a diesel engine operating feature set is generated based on the spatiotemporal alignment processing results. Based on the time sequence corresponding to the diesel engine operating characteristic set, valve dynamics equations are established, and three-dimensional parametric modeling is performed using the finite element analysis method to construct a dynamic valve control simulation model.

4. The energy consumption control system based on a high-speed V-type diesel engine according to claim 1, characterized in that, Based on the dynamic valve control simulation model, the phase shift of the opening and closing timing of the intake and exhaust valves under the target operating condition is simulated. Combined with the optimization of the curvature change trajectory of the cam profile, a valve control strategy and a set of cam profile parameters are generated. Specifically, the following steps are included: Acquire historical residual exhaust gas coefficient data for early intake valve closing and late exhaust valve opening under target operating conditions, and then construct a relationship graph between phase offset and residual exhaust gas coefficient based on the historical residual exhaust gas coefficient data; The curvature change trajectory of the cam profile is obtained, and the curvature change trajectory of the cam profile is divided into different stages. Curvature continuity processing is performed on each different stage, and the contact stress of the cam profile is determined based on the processing results. The phase offset is predicted based on the dynamic valve control simulation model, and a preset phase offset range is selected. Based on the relationship between phase offset and residual exhaust gas coefficient, the residual exhaust gas coefficient corresponding to the phase offset interval is identified. Then, based on the residual exhaust gas coefficient and the contact stress of the cam profile, multi-objective optimization is performed to generate valve control strategy and cam profile parameter set.

5. The energy consumption control system based on a high-speed V-type diesel engine according to claim 1, characterized in that, Based on the valve control strategy and cam profile parameter set, the high-speed V-type diesel engine is analyzed to generate a combustion efficiency optimization path; based on the combustion efficiency optimization path, a multi-mode injection pressure modulation scheme is designed, specifically including the following steps: The valve control strategy and cam profile parameter set are preprocessed to generate a turbulent flow field simulation environment, and a three-dimensional vortex model of the combustion chamber is established based on the turbulent flow field simulation environment. Based on the three-dimensional vortex model of the combustion chamber and combined with the valve control strategy, the change of the intake passage cross-sectional area under different valve lifts is simulated, and the turbulent kinetic energy distribution cloud map corresponding to each crankshaft angle is calculated. Based on the turbulent kinetic energy distribution cloud map corresponding to each crankshaft rotation angle, a two-way coupled analysis of fuel spray and turbulent flow field is performed to extract the combustion efficiency optimization path; Based on the combustion efficiency optimization path, a three-dimensional mapping relationship is constructed between the main injection time, pre-injection interval, and post-injection ratio to generate a multi-mode injection pressure modulation scheme.

6. The energy consumption control system based on a high-speed V-type diesel engine according to claim 1, characterized in that, Real-time monitoring of load fluctuation characteristics of high-speed V-type diesel engines, combined with the multi-mode injection pressure modulation scheme to dynamically adjust intake and exhaust valve timing and fuel injection sequence, outputting a set of energy consumption control commands at the target power, specifically including: Real-time data collection of crankshaft speed fluctuation rate, turbocharger surge frequency and common rail pressure oscillation amplitude for high-speed V-type diesel engines is conducted through edge computing nodes to construct load fluctuation characteristic data. The load fluctuation characteristic data is evaluated and processed to determine the evaluation coefficients corresponding to the load fluctuation characteristic data, and then the optimal injection pressure modulation scheme is determined based on the evaluation coefficients. The intake and exhaust valve timings and fuel injection sequence are dynamically adjusted based on the optimal injection pressure modulation scheme to generate an energy consumption control command set.

7. An energy consumption control method based on a high-speed V-type diesel engine, applied to the energy consumption control system based on a high-speed V-type diesel engine as described in any one of claims 1-6, characterized in that, Includes the following steps: Real-time data collection of high-speed V-type diesel engines is achieved through an Internet of Things (IoT) sensor network. The operating data of the high-speed V-type diesel engine is preprocessed to generate a diesel engine operating feature set, and a dynamic valve control simulation model of the high-speed V-type diesel engine is constructed based on the diesel engine operating feature set. Based on the dynamic valve control simulation model, the phase offset of the opening and closing timing of the intake and exhaust valves under the target operating conditions is simulated, and combined with the curvature change trajectory optimization of the cam profile, a valve control strategy and a set of cam profile parameters are generated. Based on the valve control strategy and cam profile parameter set, the high-speed V-type diesel engine is analyzed to generate a combustion efficiency optimization path; A multi-mode fuel injection pressure modulation scheme is designed based on the aforementioned combustion efficiency optimization path; The system monitors the load fluctuation characteristics of the high-speed V-type diesel engine in real time, and dynamically adjusts the intake and exhaust valve timing and fuel injection sequence in conjunction with the multi-mode injection pressure modulation scheme, outputting a set of energy consumption control commands under the target power.

8. A computer-readable storage medium, characterized in that: The system stores instructions that, when executed on a computer, cause the computer to perform an energy consumption control system based on a high-speed V-type diesel engine as described in any one of claims 1 to 6.

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