Electronic Engine Control Research Articles

Sensitivity analysis of aero-engine performance optimization control system and its hardware test verification

Abstract The performance seeking control (PSC) method is aimed at improving the performance of aircraft engine without changing hardware devices. However, the complexity of the system makes it difficult to achieve its application in engineering. Thus, the key issues in PSC of turbofan engine are studied based on global sensitivity analysis, and the improvements are made to the optimization system according to the analysis. Firstly, the principle of PSC is analyzed based on traditional frameworks. And an improved linear programming method based on task scheduling is proposed to reduce the time consumption within a single closed-loop simulation. The impact of the estimation model accuracy on optimization results is studied adopting a sensitivity analysis method based on Monte Carlo sampling to address the optimization lose efficacy. Finally, the hardware-in-the-loop simulation is carried out utilizing model-based design method in a certain type of turbofan engine electronic controller.

Teaching Strategies for Automotive Engine Electronic Control System Testing and Maintenance Course under the “1+X” Certificate System

With the continuous development of China’s economy, cars have become the most common means of transportation for people. However, due to this impact, the contradiction between the market demand for after-sales services such as car testing and maintenance and the actual supply of professional technical personnel has become increasingly prominent. Therefore, strengthening the education reform of automotive inspection and maintenance professional technology has become an important task for major vocational colleges. The “1+X” certificate system has become a new norm in vocational education reform in China due to its significant advantages in cultivating students’ professional knowledge and skills to obtain professional skills certificates. Based on this, this article takes the course of automotive engine electronic control system testing and maintenance as an example to explain the practical significance and strategies of course teaching based on the “1+X” certificate system, aiming to further promote professional teaching reform and provide some reference for colleagues.

Кратковременная топливная коррекция бензинового двигателя по напряжению датчика кислорода в процессе эксплуатации автомобиля

The object of the study was fuel trim of the air-fuel mixture, in particular, short-term fuel trim by voltage change of the oxygen sensor installed before the catalytic converter during vehicle operation. Experimental studies were on the Bishkek – Osh (Kyrgyz Republic) highway at an altitude of 750–3200 m above sea level. It is characterized by flat, mountainous and high mountainous vehicle operating conditions. The experimental studies results were used to graph the dependence of short-term fuel trim on the change of oxygen sensor voltage during vehicle operation. The values of fuel trim parameters can be used to assess the state of the air-fuel mixture, as well as to make a conclusion about the technical condition of sensors, systems and mechanisms of the engine and elements of the car exhaust system. In addition, in normal operation of the engine, when the fluctuation of fuel correction indicators is ±10 %, fuel-economic and environmental indicators will be in fit. It should also be recognized that the modern automobile engines have a system of various sensors and electronic engine control unit, but they have their certain disadvantages in ensuring the stoichiometric composition of the air-fuel mixture (λ = 1).

Effects of different national standards and driving conditions on pollutants and persistent free radicals in diesel engine exhaust particles

Exhaust pollutants from diesel vehicles constitute an important portion of air pollution. In addition to conventional pollutants such as carbon and nitrogen oxides, persistent free radicals (PFRs) exist on exhaust particles could also pose a health risk by inducing oxidative stress. However, recently there is a dearth of comprehensive studies addressing this concern. In this study, the exhaust particles emitted by tractors adhering to two prominent emission standards, namely GB III and GB I, that currently hold the largest tractor stocks, were collected under various working conditions. For the first time, this study dynamically monitored the characteristics of PFRs in exhaust particles emitted by internal combustion engines using biodiesel as fuel during driving on rural actual roads. Due to the stricter emission standard of GB III, which resulted in lower particle emissions, the concentration of PFRs emitted under the same fuel consumption was ultimately reduced. Noteworthily, while advancements like fuel atomization under engine electronic control unit (ECU) and the utilization of oxidation catalysts with low ignition temperature successfully decreased polycyclic aromatic hydrocarbons (PAHs) emission by altering combustion in the engine, they also resulted in heightened carbon structure defects, leading to a higher concentration of PFRs emitted per unit mass of particles. Additionally, compared to non-plowing driving conditions, localized hypoxia during plowing that could cause excessive fuel injection and uneven formation of fuel-air mixture resulted in the emission of a significant amount of carbon-containing substances with unstable structures. Consequently, this scenario led to an increased concentration of PFRs during plowing conditions. The results of this study demonstrated that the stricter emission standards and optimized technology could better reduce the concentration and types of PFRs in exhaust particles, reducing the environmental risk of exhaust particle, which is also of great significance for the realization of pollution reduction and carbon reduction goals.

Vehicle power supply management strategies

Introduction. To optimize the performance of the vehicle electrical system, it is necessary to improve the control principles and strategies. The control principles may be based on voltage constancy, ensuring battery charge, reducing fuel consumption, etc.Materials and methods. A distinctive feature of the first level control strategy is the absence of additional sensors in the power supply system. Their occurence led to the emergence of the second level control strategy aimed at ensuring the starter battery charge, which is achieved by organizing the interaction between the electronic engine control unit and the generator. In the control strategy of the third level the first place is given to the reduction of the vehicle fuel consumption. The target functions of the listed control strategies are considered.Results. The fourth level management strategy, the purpose of which is to reduce the costs of power supply system operation at all stages of the life cycle, is proposed. The structure of power supply system operation costs is considered, which includes the costs of fuel overconsumption caused by malfunctions in the operation of units, as well as the costs of maintenance, diagnostics, repair (replacement) and utilization.Discussion and conclusions. Practical application of the proposed strategy will make it possible to take into account all types of costs and minimize the cost of operating the power supply system for both vehicles with internal combustion engines and hybrid and electric vehicles, in which electricity is even more important.

Morphological engineering coupled with electronic engineering accelerates H2 production at the high current density

The insufficient exposure of catalyst active sites and high adsorption energy barrier of intermediates (H*) on the Ni surface are the main reasons for its lack of hydrogen evolution activity under high current. However, developing non noble metal hydrogen evolution electrocatalysts with stable activity under high current density is key to achieving large-scale industrial H2 production. Herein, a tungsten-doped dendritic nickel-copper array on copper mesh (W-NiCuarray/CM) is prepared by combining microscopic morphology control and atomic scale electron control strategies. Benefiting from the unique dendritic morphology and excellent electronic structure, the electrocatalyst exhibits outstanding hydrogen evolution reaction (HER) performance under high current densities. In particular, it requires a low overpotential of 257 and 349 mV at −500 and −1000 mA cm−2, respectively, which surpasses the state-of-the-art commercial Pt/C. Characterization and density functional theory (DFT) further reveal that Cu and W control the electronic structure, and the active center Ni obtains the appropriate d-band center; thus, the optimal Gibbs free energy (ΔGH*) of hydrogen adsorption can be gained. Overall, this study combines morphology engineering and electronic control engineering to provide an idea for the development of advanced nonprecious metal electrocatalysts applied for industrial hydrogen production.

Operational Control of Power Indicators of Diesel Engines with Common Rail Fuel System

Introduction. Operational methods to monitor the power indicators of engines for continuous diagnosis of their technical condition are of particular interest for creating optimal operating conditions of motor and tractor machinery. The methods are characterized by the mechanical efficiency, determined in the conditions of repair shops with the use of complex braking devices. Aim of the Article. To present the results of research on the development of an operational method for determining the mechanical efficiency of diesel engines with batteryoperated electronically controlled fuel supply systems. Materials and Methods. The Bashkir State Agrarian University proposed and successfully tested an operational method for assessing the technical condition of diesel engines with direct-acting fuel equipment on their mechanical efficiency, which is determined by the performance of their fuel equipment adjusted using the diesel itself as an adjusting stand. The possibility of using the proposed method for diesel engines with storage fuel systems was investigated. Results. The accuracy of determining the mechanical efficiency of diesel engines by electronically controlled fuel systems of battery type can be affected by the features of their work – the correction of cyclic feeds by the electronic engine control unit depending on the technical condition of the cylinders and high fuel injection pressure. To test this hypothesis, there were carried out studies on a four-cylinder D4EA 2.0 engine of a Hyundai Tuscon car with a Common Rail type storage fuel system. The engine fuel supply system was supplemented with an electronic unit integrated between the injector and the standard engine control unit, which interrupted the transmission line of the control signal to the injector according to a given algorithm without the standard unit transition to emergency mode. It has been found that the proposed method can successfully determine the technical condition of the engine as a whole and of its individual cylinders (alternating disabled and working cylinders). Discussion and Conclusion. The proposed operational method for determining the mechanical efficiency can be successfully used for diesel engines with accumulator electronically controlled fuel supply systems. At the same time, an increase in the cyclic supply by the electronic control unit of the engine fuel supply system reduces the mechanical efficiency slightly, and it can be taken into account only in special cases.

Data-Driven Model for Real-Time Estimation of NOx in a Heavy-Duty Diesel Engine

The automotive sector is greatly contributing to pollutant emissions and recent regulations introduced the need for a major control of, and reduction of, internal combustion engine emissions. Artificial intelligence (AI) algorithms have proven to hold the potential to be the thrust in the state-of-the-art for engine-out emission prediction, thus enabling tailored calibration modes and control solutions. More specifically, the scientific literature has recently witnessed strong efforts in AI applications for the development of nitrogen oxides (NOx) virtual sensors. These latter replace physical sensors and exploit AI algorithms to estimate NOx concentrations in real-time. Still, the calibration of the algorithms, together with the appropriate choice of the specific metric, strongly affects the prediction capability. In the present paper, a machine learning-based virtual sensor for NOx monitoring in diesel engines was developed, based on the Extreme Gradient Boosting (XGBoost) machine learning algorithm. The latter is commonly used in the literature to deploy virtual sensors due to its high performance, flexibility and robustness. An experimental campaign was carried out to collect data from the engine test bench, as well as from the engine electronic control unit (ECU), for the development and calibration of the virtual sensor at steady-state conditions. The virtual sensor has, since then, been tested throughout on an on-road driving mission to assess its prediction performance in dynamic conditions. In stationary conditions, its prediction accuracy was around 98%, whereas it was 85% in transient conditions. The present study shows that AI-based virtual sensors have the potential to significantly improve the accuracy and reliability of NOx monitoring in diesel engines, and can, therefore, play a key role in reducing NOx emissions and improving air quality.

Аналіз конструктивних особливостей різних типів коробок перемикання передач автомобілів

One of the important components of the car design is the gearbox, which is part of the transmission. It is the gearbox that is responsible for changing the direction of the car and its speed. This affects traction and dynamic properties in general. The purpose of this article is to analyze the design features of various types of car gearboxes. The work analyzes the design features of various types of car gearboxes. The purpose of the gearbox, the effect on the traction-speed properties, which are a set of properties that determine the possible speed ranges and the maximum intensity of acceleration when the car is moving in the traction mode in various operating conditions, are given, as well as the main requirements that it should provide. The peculiarities of the construction of mechanical gearboxes, their structure, the principle of operation and the possibility of placement in a car are considered. The structure and main elements of the hydromechanical transmission (HMT) design are presented. It consists of three main parts: a torque converter, a manual gearbox and a control system. The design features of the gearbox with V-belt and toroid variators are considered. The principle of operation of variators, which ensures a stepless change of the gear ratio within the established limits, is presented. The design of the gearbox with a double clutch is considered, which ensures uninterrupted transmission of the power flow to the drive wheels. The gearbox is controlled by an electronic control unit, which receives information from sensors located in the box and is connected by a high-speed bus to the engine's electronic control unit. The main advantages and disadvantages of each type of considered gearboxes are highlighted. The mechanical gearbox has proven itself as a unit that is simple in design and reliable in operation. The prospects for the development of the gearbox are the development of new electronic control systems, the use of modern materials with high performance indicators and the use of high-performance methods of mechanical processing.

Оценка влияния автомобильного генератора на расход топлива автомобиля

The car generator provides electricity to the on-board network by converting the energy of the car engine. The analysis of publications made it possible to establish that reducing fuel consumption for driving a car generator is an urgent task. On a number of vehicles, the task is implemented using intelligent voltage regulators, as well as electronic control units for a car generator or power supply system. Malfunctions of the power supply system that occur during operation (short circuit of the battery, short circuits in the wiring or windings of the generator) can reduce the efficiency of electronic device control algorithms and significantly affect the amount of fuel consumption. Most modern cars are not equipped with devices for monitoring the operation of the power supply system, which can lead to the operation of a vehicle with increased fuel consumption. The solution to this problem can be an on-board monitoring system for the power supply system, which makes it possible to prevent the operation of vehicles with increased fuel consumption and reduce environmental and economic damage. The aim of the work is to establish the relationship between the mode of operation of the car generator (including its deactivation) and fuel consumption when the vehicle is moving. The experimental technique involves determining the hourly fuel consumption using an electronic engine control unit, the generator current and the voltage of the on-board network while the car is moving along a flat straight road at a uniform speed. The value of fuel consumption during the operation of the minimum required number of consumers has been experimentally established. A load cycle has been developed that determines the sequence and duration of switching on the regular consumers of the car. It was determined that the average value of fuel consumption, while maintaining the driving conditions of the vehicle and applying the load mode, increased by 9%, however, the inclusion of powerful consumers caused an increase in fuel consumption by 44%. Forced deactivation of the automobile generator allowed to reduce fuel consumption by an average of 9%. The results of determining the fuel consumption during the movement of a vehicle, the load on the generator of which corresponds to the developed load cycle, have a scientific novelty. Further research will be devoted to determining fuel consumption in emergency situations in the vehicle power supply system. Key words: car, car generator, fuel consumption, load cycle, electricity consumers, on-board network voltage, voltage threshold.

Regression prediction of hydrogen enriched compressed natural gas (HCNG) engine performance based on improved particle swarm optimization back propagation neural network method (IMPSO-BPNN)

Artificial neural network (ANN) methods have been rapidly developed and applied in solving nonlinear small sample problems. In this paper, an improved particle swarm algorithm optimized back propagation neural network (IMPSO-BPNN) method was proposed and used for the regression analysis and prediction of 20% (volume fraction) hydrogen enriched compressed natural gas (HCNG) engine performance. Meanwhile, various ANN and support vector machine (SVM) methods were also utilized for a comparative study. The experimental results show that the HCNG engine has the highest combustion efficiency, the maximum output torque and the minimum brake specific fuel consumption (BSFC) when operating at the maximum brake torque (MBT) timing, and the brake specific NOx (BSNOx) is also at a relatively low level. Through the comparison of multiple methods, the prediction accuracy and generalization ability of the IMPSO-BPNN model are the best overall. For example, the mean absolute percentage error (MAPE) of the optimal IMPSO-BPNN model (0.771%) is 5.85%, 12.62%, 17.96%, 7.57% and 7.88% less than that of the PSO-BPNN, GA-BPNN, BPNN, PSO-SVM and GA-SVM models (0.819%, 0.882%, 0.940%, 0.834% and 0.837%), respectively; and the correlation coefficient (R) is also higher than that of other models (0.99986). Secondly, the method shows visible superiority in the temporal dimension compared with the methods optimized by genetic algorithm and SVM method. For example, the CPU running time of the optimal IMPSO-BPNN model is reduced by 1773.32%, 149.74% and 1231.34% compared to that of the optimal GA-BPNN, PSO-SVM and GA-SVM models, respectively. Since the IMPSO-BPNN method is a flexible and general method, it is a new idea for the study of engine electronic control calibration tools.

Using Diagnostics to Research the Operational Reliability of Electronic Engine Control Systems of Skoda Car

Introduction. Some physical processes active in the electronic engine control systems lead to wear and tear of the system elements. Experience in operating and diagnosing vehicles at the service station has shown that there is the operation of vehicles with failures, many of which subsequently lead to malfunctions of different complexities. The purpose of the study is to apply diagnostics for determining the operational reliability and assessing the technical condition of electronic engine control systems. Materials and Methods. A batch of cars was selected to assess the operational reliability of modern electronic engine control system. There were carried out experimental tests of Skoda Octavia cars with 1.8 TSI CDAB 152 hp Euro5 engine and CDAA 160 hp Euro5 engine. The sample consisted of 60 vehicles. Every vehicle was registered for diagnostics, pre-maintenance and computer diagnostics. After a short test, the vehicle was taken back to the service station and subjected to a detailed diagnosis of the electronic engine control system. Results. The results of analyzing reliability of the main elements of the electronic engine control system have been obtained. It can be concluded that most of the failures of the structural elements of the electronic engine control system occur within the actuators of the system, which have moving elements, sensors measuring the parameters of the system wear out to a lesser extent. The analysis of dependence of failure rates of the fuel pump pressure regulator on operating time intervals has been carried out. Discussion and Conclusion. It was determined that the spark plugs have the least mileage lifetime. At the same time, the failure within the fuel pressure regulator of the car fuel system occurs most frequently (19.8% of total). The resource of this element of the electronic engine control system averages 125,000 km. It is proved that diagnostics using modern technological equipment is effective.

Multidimensional Computational Fluid Dynamics Combustion Process Modeling of a 6V150 Diesel Engine

Abstract The smart diesel program requires the engine electronic control unit to consider additional parameters, such as altitude and climatic conditions, in the mapping calibration process. A specially designed environmental simulation cabin, which can simulate environmental conditions at any longitude and dimension, would allow dynamometer testing to be performed indoors. Considering its high cost, a three-dimensional (3D) computational fluid dynamics (CFD) is needed to guide and/or complement experimental researches. As a result, the main objective of this study was to establish a 3D RANS model (i.e., reasonable computational cost and running time) that can provide in-cylinder details and predict the efficiency of a 6V150 diesel engine under varied operating conditions. A sector mesh approach was employed, considering only the compression, combustion, and expansion periods from intake valve closing to exhaust valve opening. The results indicated that the model simulated cylinder pressure agreed well with the experimental data, with relative errors of less than 6% during the primary compression, combustion, and expansion. Further, the model predicted heat release phasing was inconsistent with the experimental results, with absolute errors of less than one crank angle degree for peak pressure location, CA50, and ignition delay. In addition, the multidimensional model captured the effects of environmental pressure and temperature on spray formation (i.e., the dominant phenomenological event). Moreover, the model reasonably reproduced the effects of engine control variables on performance and emissions. All these observations demonstrated the validity of the selection and calibration of geometry, chemistry, and submodels including turbulence, spray, heat transfer, combustion, etc. Overall, the model was deemed capable of predicting combustion characteristics under extreme conditions, including high-temperature, high-cold, and high-altitude environments, which can facilitate the development of smart engines.

Towards a Powerful Hardware-in-the-Loop System for Virtual Calibration of an Off-Road Diesel Engine

A common challenge among internal combustion engine (ICE) manufacturers is shortening the development time while facing requirements and specifications that are becoming more complex and border in scope. Virtual simulation and calibration are effective instruments in the face of these demands. This article presents the development of zero-dimensional (0D)—real-time engine and exhaust after-treatment system (EAS) models and their deployment on a Virtual test bench (VTB). The models are created using a series of measurements acquired in a real test bench, carefully performed in view of ensuring the highest reliability of the models themselves. A zero-dimensional approach was chosen to guarantee that models could be run in real-time and interfaced to the real engine Electronic Control Unit (ECU). Being physically based models, they react to changes in the ECU calibration parameters. Once the models are validated, they are then integrated into a Simulink® based architecture with all the Inputs/Outputs connections to the ECU. This Simulink® model is then deployed on a Hardware in the Loop (HiL) machine for ECU testing and calibration. The results for engine and EAS performance and emissions align with both steady-state and transient measurements. Finally, two different applications of the HiL system are presented to explain the opportunities and advantages of this tool integrated within the standard engine development. Examples cited refer to altitude calibration activities and soot loading investigation on vehicle duty cycles. The cases described in this work are part of the actual development of one of the latest engines developed by Kohler Engines: the KDI 1903 TCR Stage V. The application of this methodology reveals a great potential for engine development and may become an essential tool for calibration engineers.

Simulation and Experimental Study of the Field Distribution of Engine for Electromagnetic Pulse

The protection of electromagnetic pulse (EMP) is important for aircraft due to vulnerable electronic equipments are installed. The control box of engine is also suffering from EMP and seldom studied. Meanwhile, most of work related to EMP protection focus on shielding design. Few works consider the effect of engine shell. The field distribution induced by EMP and its influences on the controller layout are unaddressed. This work will comprehensively investigate the field distribution characteristics of an engine under EMP, which is studied by simulating and experimenting methods. The transmission line matrix (TLM) is used to simulated field distribution of the bounded wave simulator and aero-engine, which provides better placement for equipment under test in the simulator. The field differences of bounded wave simulator and plane wave have been analyzed by using CST software. The feasibility of plane excitation instead of bounded wave simulator model excitation is checked, which has been verified by using the engine model. Then, the distribution characteristics of transverse and longitudinal fields surrounding the aero-engine are obtained, and the surface current distribution of the engine is also obtained in the simulation. The aero-engine simulation is excited by bounded wave simulator under CST software. According to the corresponding monitoring points, the simulated field distribution characteristics are verified by using the largely bounded wave simulator. Finally, the influence of field distribution on the layout of the engine electronic control system is analyzed, which provides a reference for the anti-electromagnetic pulse design of the engine electromagnetic controller.

Supervisory Control for NO$_\text{x}$ Emission Compliance of Heavy-Duty Vehicles

This article provides a detailed description of a supervisory control problem for a heavy-duty vehicle equipped with a diesel engine and an exhaust aftertreatment system (EATS). The control problem considers the coupling between the engine and EATS and assumes the availability of predictive driving information for a long horizon. The article also proposes a computationally efficient supervisory control algorithm, which is implemented in an existing engine electronic control unit. The algorithm is based on distributed economic nonlinear MPC. It minimizes total fuel consumption (by the diesel engine and EATS) and fulfils Euro VI real-driving and world harmonized transient cycle based NO <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$_\text{x}$</tex-math></inline-formula> emission legislation for the heavy-duty diesel vehicle. The performance of the algorithm is evaluated using a high-fidelity simulation platform, which includes a validated GT-POWER model of a 13 L turbo compound diesel engine and the first-principles model of an EATS. Simulation results show that the supervisory controller has 1.7% less total fuel consumption, and 88.4% less NH <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$_3$</tex-math></inline-formula> slip, compared to a baseline controller, to achieve the same real-driving NO <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$_\text{x}$</tex-math></inline-formula> emission.

ESTIMATION OF THE ACCURACY OF FUEL CONSUMPTION MEASUREMENT BASED ON DATA FROM THE ON-BOARD CAN-BUS

Determining the dependence of actual fuel consumption on operating conditions is the most important task in vehicle transport, since the cost of hydrocarbons is a significant part of the cost of transportation. Currently, there are many ways to experimentally measure fuel efficiency: using external flow meters installed in the fuel line, equipping the tank with additional level sensors, using information from the electronic engine control unit. The latter approach is of greatest interest, since it requires minimal financial investment, is easy to install, and there are no significant changes to the design. The question arises about the measurement accuracy according to this method, since the ECU calculates the fuel consumption according to a mathematical model, calibrated and programmed at the factory. This article offers a solution to this problem. At the first stage, NNSTU specialists have developed and installed on a vehicle equipment for measuring fuel consumption simultaneously by two methods – using an external high-precision Kistler Dfl3x-5bar flow meter, installed in the fuel line, and on the basis of data from the engine ECU, obtained using information CAN-bus. At the second stage, tests were carried out (moving in a steady state and the driving cycle) after this, using results of tests, we have concluded a numerical difference in the methods for determining fuel consumption. At the end of the article, tabular results of comparison of measurements and graphs of the determined parameters are demonstrated.

Estimation of the accuracy of fuel consumption measurement based on data from the on-board CAN-bus

The legal requirements for vehicle exhaust emissions are becoming increasingly stringent. Emissions are directly related to fuel consumption. Therefore, reducing fuel consumption is a very urgent task. To solve this problem, it is necessary to assess the influence of various factors on the actual fuel consumption. To determine the fuel consumption, there are a large number of different methods using external flow meters installed in the fuel line, installing additional level sensors in the fuel tank. A very simple and convenient method is based on the use of information from the electronic engine control unit. This method requires minimal financial investment and does not require significant structural changes. The question arises about the measurement accuracy according to this method, since the ECU calculates the fuel consumption according to a mathematical model, calibrated and programmed at the factory. To assess the accuracy of this method, a set of tests was carried out. The tests were performed at constant vehicle speed and according to the standard driving cycle. During the tests, the fuel consumption was recorded using a high-precision calibrated flow meter installed in the fuel line and on the basis of data from the engine ECU. Based on the test results, a conclusion was made about the size of the discrepancy in the methods for determining the fuel consumption.

Research and Application of Fault Diagnosis Method for Automobile Electronic Control Engine Based on Data Stream Analysis

In the process of diagnosing automobile electronic control engine faults, using data flow analysis methods as the main fault diagnosis work can not only improve the efficiency of fault diagnosis, but also have a positive significance for the development of China’s automobile industry. The engine is not only the main component of the automobile, but also the key content that must be paid attention to in the development of the automobile industry. Once a car engine fails, it will have a great impact on the operation of the whole car. In order to be able to accurately grasp the specific fault conditions of automobile electronically controlled engines, we need to use effective fault diagnosis methods for analysis. At present, the application of dynamic data flow and static data flow analysis methods can accurately grasp the actual situation of the engine to a large extent. The use of data flow analysis to carry out effective troubleshooting and handling of the cause of the fault can reduce the possibility of engine failure. Experts need to analyze the specific conditions of the data flow during the research process, and discuss the specific application of the data flow analysis method in the process of automobile electronic control engine fault diagnosis. Thereby it can provide accurate reference for the fault diagnosis of automobile electronic control engine, ensure the safe operation of automobile electronic control engine, and improve the production efficiency of automobile enterprises.

A Segmentation Model of ECU Excitation Signal Based on Characteristic Parameters.

According to the basic structure and working principle of the excitation signal sensors of a diesel engine electronic control unit (ECU), a segmentation model of an ECU excitation signal based on characteristic parameters (ESCP-SM) is proposed. In the ESCP-SM, the ECU excitation signal is divided into several parts, and each part has its characteristic parameters model. By using the same global parameters and strictly controlling each part’s proportional parameters, the ESCP-SM can achieve signal alignment and dynamic frequency modulation. Based on the simulation experiment, spectrum analysis proves that this modeling method ensures that the original signal’s effective information is not lost. Pearson similarity analysis shows that the similarity between the simulation signal and practical signal reaches 74%, exhibiting strong correlation. In addition, we set up a physical testing environment. ESCP-SM is realized based on virtual instrument technology, and provides excitation signals for a Komatsu 8 ECU. By modifying the parameter configuration, the ECU can drive the injector to work correctly.