Research method for improving performance of plateau diesel generating set

Abstract

The invention discloses a research method for improving the performance of a plateau diesel generating set. The invention aims at exploring and separating out a solution for improving the performance of the plateau diesel generating set from influence factors of performance reduction of the diesel generating set in the plateau environment. The method comprises the following steps: analyzing main influence factors aiming at the problem of performance reduction of the diesel generating set in a plateau environment, so as to obtain design parameters; meanwhile, a diesel generating set performance index testing method and instrument are determined, and an experimental platform is built. According to influence factor analysis, test platform establishment and test method determination, a foundation is laid for diesel generating set performance test. Optimal design parameters at the specified altitude are obtained through a single-factor test, an orthogonal test and a response surface test. And finally completing improvement of the diesel generating set, performing field test, checking the performance of the diesel generating set and researching the reliability of the model.

Description

Technical Field

[0001] The invention belongs to the technical field of performance improvement of plateau diesel generator sets, and specifically relates to a research method for improving the performance of plateau diesel generator sets. Background Art

[0002] 3kW diesel generator sets are important equipment for field troops in high-altitude areas of my country. After being finalized and equipped to the troops, they play an important role in military struggle preparation and non-war operations. Troops in high-altitude areas under my country's plateau environment have a huge demand for 3kW diesel generator sets. The supporting power of the generator is divided into domestic and imported. Imported diesel engines work stably and have strong adaptability to high-altitude environments, but they have problems such as high cost, complex maintenance, and poor autonomy. They are easily restrained in special periods; when domestic diesel engines are used in high-altitude areas, there are problems such as difficulty in starting, serious power reduction, poor durability, and abnormal emissions, which have a great impact on the combat and training of the troops.

[0003] The traditional solution of adding a supercharger to increase power will cause the weight and volume of the whole machine to increase, the portability is poor, the reliability is reduced, and other problems, which does not meet the actual use needs of field troops in plateau areas. In order to meet the power supply needs of plateau troops, it is urgent to analyze and study the influence mechanism of the performance indicators of 3kW diesel generator sets in plateau environments, and improve the plateau adaptability of generators. Therefore, the implementation of the present invention has great application value and promotion prospects, and also has very important military strategic value. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a research method for improving the performance of plateau diesel generator sets.

[0005] A research method for improving the performance of a plateau diesel generator set according to the present invention comprises the following steps:

[0006] a. Analyze the main influencing factors of the performance degradation of diesel generator sets in plateau environments and obtain design parameters.

[0007] a1. Design parameters are divided into two categories: intake parameters and structural parameters. Intake parameters are divided into two categories: preheating scheme and air filter element diameter, and structural parameters are divided into four categories: injection pressure, circulating fuel supply, fuel supply advance angle, and compression ratio.

[0008] b. Determine the test method and instrument for the performance index of the diesel generator set, and build the test platform based on it. The process is as follows:

[0009] b1. The test platform needs to complete the measurement tasks of four indicators of diesel generator sets, including output power measurement, fuel consumption measurement, starting time measurement, and smoke value measurement.

[0010] b2: The present invention uses a self-built movable diesel generator set stand to test the influence of different design parameters on the performance indicators of the diesel generator set in Chongqing, Kangding, Yajiang, Jianziwan Mountain and other places at altitudes of 1500m, 3000m and 4250m respectively.

[0011] c. Based on the analysis of influencing factors, the construction of the test platform and the determination of the test methods, the foundation for the performance test of the diesel generator set was laid, and single factor test, orthogonal test and response surface test were completed respectively.

[0012] c1. The single factor test aims to obtain the design parameters and performance index change curves of diesel generator sets under different altitude conditions.

[0013] c2. The orthogonal test aims to obtain the optimal design parameter combination of the diesel generator set at an altitude of 3000m and 4250m respectively through the normalized comprehensive evaluation of the four performance indicators of the diesel generator set, namely, output power, specific fuel consumption, starting time and smoke density value.

[0014] c3. The response surface test aims to establish a regression mathematical model by testing the changes in the performance indicators of diesel generator sets under different design parameters by taking injection pressure, circulating fuel supply, air filter diameter and fuel supply advance angle as test factors. Under the constraints of equipment and environment, the output power is used as the evaluation index to obtain the design parameters under the optimal target.

[0015] d. The present invention mainly studies the influence of design parameters on the performance indicators of diesel generator sets under different altitudes. Since the experimental condition limits cannot be used for a large number of tests in a plateau environment, neural network prediction is used. Based on the single factor test, orthogonal test and response surface test of diesel generator sets, a BP neural network improved by genetic algorithm is used to establish a prediction model for the performance indicators of diesel generator sets, and the performance indicators of diesel generator sets under different altitudes and different design parameters are predicted.

[0016] Furthermore, the main test equipment of the diesel generator set test platform includes a diesel generator set, an adjustable AC load box, a fuel consumption meter, a smoke meter and a data acquisition system.

[0017] Furthermore, when conducting the response surface test design, four factors that have a greater impact on the performance indicators are selected, namely injection pressure, circulating fuel supply, air filter diameter and fuel supply advance angle.

[0018] Furthermore, the BP neural network improved by genetic algorithm established a prediction model for the performance indicators of diesel generator sets. The tested performance indicators were output power, specific fuel consumption, starting time and smoke density. That is, the output of the neural network had 4 nodes in the layer, and the design parameters were injection pressure, circulating fuel supply, air filter diameter and fuel supply advance angle. In addition to the change in altitude, the number of nodes in the input layer was 5.

[0019] The research method of improving the performance of plateau diesel generator sets of the present invention analyzes the influence of altitude and design parameters on the performance indicators of diesel generator sets through performance test research of diesel generator sets in plateau environments, establishes a response surface model of diesel generator set performance indicators and design parameters, and a GA-BP neural network performance indicator prediction model; based on orthogonal experiments, the optimal design parameters of each performance indicator under the conditions of 3000m and 4250m above sea level are obtained. The GA-BP neural network has a high prediction accuracy for the output power, specific fuel consumption, starting time and smoke density of plateau diesel generator sets, and the model is reliable, which realizes the accurate prediction of the performance indicators of diesel generator sets under different altitudes and design parameter conditions, so the present invention has great practical application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained according to the following drawings without creative work:

[0021] Figure 1 A flow chart of a research method for improving the performance of a plateau diesel generator set according to the present invention;

[0022] Figure 2 It is a schematic diagram of the main test equipment of the diesel generator set test platform in a research method for improving the performance of a plateau diesel generator set of the present invention;

[0023] Figure 3 A diagram showing the influence of compression ratio on the performance index of a diesel generator set in a research method for improving the performance of a plateau diesel generator set according to the present invention;

[0024] Figure 4 A diagram showing the influence of the preheating strategy on the starting time in a research method for improving the performance of a plateau diesel generator set according to the present invention;

[0025] Figure 5 A graph showing the influence of injection pressure on the performance of a diesel generator set in a research method for improving the performance of a plateau diesel generator set according to the present invention;

[0026] Figure 6 A graph showing the influence of circulating fuel supply on the performance of a diesel generator set in a research method for improving the performance of a plateau diesel generator set according to the present invention;

[0027] Figure 7 A graph showing the influence of air filter diameter on the performance of a diesel generator set in a research method for improving the performance of a plateau diesel generator set according to the present invention;

[0028] Figure 8 A diagram showing the influence of the fuel supply advance angle on the performance of a diesel generator set in a research method for improving the performance of a plateau diesel generator set according to the present invention; DETAILED DESCRIPTION

[0029] The following will further clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] like Figure 1 As shown, a research method for improving the performance of a highland diesel generator set in this embodiment includes the following steps:

[0031] a. Analyze the main influencing factors of the performance degradation of diesel generator sets in plateau environments and obtain design parameters.

[0032] a1. Design parameters are divided into two categories: intake parameters and structural parameters. Intake parameters are divided into two categories: preheating scheme and air filter element diameter, and structural parameters are divided into four categories: injection pressure, circulating fuel supply, fuel supply advance angle, and compression ratio.

[0033] b. Determine the test methods and instruments for the performance indicators of diesel generator sets, and build a test platform based on them.

[0034] The process is as follows:

[0035] b1. The test platform needs to complete the measurement tasks of four indicators of diesel generator sets, including output power measurement, fuel consumption measurement, starting time measurement, and smoke value measurement.

[0036] b2: The present invention uses a self-built movable diesel generator set stand to test the influence of different design parameters on the performance indicators of the diesel generator set in Chongqing, Kangding, Yajiang, Jianziwan Mountain and other places at altitudes of 1500m, 3000m and 4250m respectively.

[0037] like Figure 2As shown, the main test equipment of the diesel generator test platform includes a diesel generator set, an adjustable AC load box, a fuel consumption meter, a smoke meter and a data acquisition system.

[0038] c. Based on the analysis of influencing factors, the construction of the test platform and the determination of the test methods, the foundation for the performance test of the diesel generator set was laid, and single factor test, orthogonal test and response surface test were completed respectively.

[0039] c1. The single factor test aims to obtain the design parameters and performance index change curves of diesel generator sets under different altitude conditions.

[0040] from Figure 3 It can be seen that when other design parameters remain constant, with the increase of altitude, the output power of diesel generator sets with two compression ratios decreases, the specific fuel consumption increases, the starting time is prolonged, and the smoke density increases, indicating that the combustion condition of the diesel generator set deteriorates.

[0041] from Figure 4 It can be seen that the start time of diesel generator sets increases significantly with the increase of altitude, and the start time of the no preheating scheme changes the most; adding preheating under plain working conditions has no significant effect on the start time of diesel generator sets. However, with the increase of altitude, the impact of preheating strategy on the start time of diesel generator sets becomes more and more obvious.

[0042] from Figure 5 It can be seen that keeping other design parameters unchanged, the injection pressure has different degrees of influence on the performance indicators of the diesel generator set, and this influence increases with the increase of altitude.

[0043] from Figure 6 It can be seen that keeping other design parameters unchanged, the circulating fuel supply has different degrees of influence on the performance indicators of the diesel generator set, and different change trends appear under low altitude and high altitude conditions.

[0044] from Figure 7 It can be seen that under the condition of keeping other design parameters unchanged, the change of air filter diameter also has a certain impact on the performance indicators of diesel generator sets.

[0045] from Figure 8 It can be seen that under the condition of keeping other design parameters unchanged, the change of fuel supply advance angle has an impact on the performance indicators of the diesel generator set, and there are optimal fuel supply advance angles in plain environments and high-altitude environments.

[0046] c2. The orthogonal test aims to obtain the optimal design parameter combination of the diesel generator set at an altitude of 3000m and 4250m respectively through the normalized comprehensive evaluation of the four performance indicators of the diesel generator set, namely, output power, specific fuel consumption, starting time and smoke density value.

[0047] c3. The response surface test aims to establish a regression mathematical model by testing the changes in the performance indicators of diesel generator sets under different design parameters by taking injection pressure, circulating fuel supply, air filter diameter and fuel supply advance angle as test factors. Under the constraints of equipment and environment, the output power is used as the evaluation index to obtain the design parameters under the optimal target.

[0048] d. The present invention mainly studies the influence of design parameters on the performance indicators of diesel generator sets under different altitudes. Since the experimental condition limits cannot be used for a large number of tests in a plateau environment, neural network prediction is used. Based on the single factor test, orthogonal test and response surface test of diesel generator sets, a BP neural network improved by genetic algorithm is used to establish a prediction model for the performance indicators of diesel generator sets, and the performance indicators of diesel generator sets under different altitudes and different design parameters are predicted.

[0049] A plateau performance index prediction model for diesel generator sets was established using the BP neural network improved by genetic algorithm. The GA-BP neural network performance index model can effectively predict the performance index values ​​of diesel generator sets under different altitudes and design parameter conditions. It has good generalization ability and provides support for the production design of diesel generator sets under different altitudes.

[0050] Although the embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the description and the embodiments, and can be fully applied to various fields suitable for the present invention. For those familiar with the art, additional improvements and modifications can be easily realized without departing from the principles of the present invention. Therefore, without departing from the general concept defined by the claims and equivalent scope, the present invention is not limited to the specific details and the illustrations shown and described here.

Claims

1. A research method for improving the performance of plateau diesel generator sets, characterized in that: The following steps are involved: a. Analyze the main influencing factors of the performance degradation of diesel generator sets in plateau environments and obtain design parameters. a1. Design parameters are divided into two categories: intake parameters and structural parameters. Intake parameters are divided into two categories: preheating scheme and air filter element diameter, and structural parameters are divided into four categories: injection pressure, circulating fuel supply, fuel supply advance angle, and compression ratio. b. Determine the test method and instrument for the performance index of the diesel generator set, and build the test platform based on it. The process is as follows: b1. The test platform needs to complete the measurement tasks of four indicators of diesel generator sets, including output power measurement, fuel consumption measurement, starting time measurement, and smoke value measurement. b2: The present invention uses a self-built movable diesel generator set stand to test the influence of different design parameters on the performance indicators of the diesel generator set in Chongqing, Kangding, Yajiang, Jianziwan Mountain and other places at altitudes of 1500m, 3000m and 4250m respectively. c. Based on the analysis of influencing factors, the construction of the test platform and the determination of the test methods, the foundation for the performance test of the diesel generator set was laid, and single factor test, orthogonal test and response surface test were completed respectively. c1. The single factor test aims to obtain the design parameters and performance index change curves of diesel generator sets under different altitude conditions. c2. The orthogonal test aims to obtain the optimal design parameter combination of the diesel generator set at an altitude of 3000m and 4250m respectively through the normalized comprehensive evaluation of the four performance indicators of the diesel generator set, namely, output power, specific fuel consumption, starting time and smoke density value. c3. The response surface test aims to establish a regression mathematical model by testing the changes in the performance indicators of diesel generator sets under different design parameters by taking injection pressure, circulating fuel supply, air filter diameter and fuel supply advance angle as test factors. Under the constraints of equipment and environment, the output power is used as the evaluation index to obtain the design parameters under the optimal target. d. The present invention mainly studies the influence of design parameters on the performance indicators of diesel generator sets under different altitudes. Since the experimental condition limits cannot be used for a large number of tests in a plateau environment, neural network prediction is used. Based on the single factor test, orthogonal test and response surface test of diesel generator sets, a BP neural network improved by genetic algorithm is used to establish a prediction model for the performance indicators of diesel generator sets, and the performance indicators of diesel generator sets under different altitudes and different design parameters are predicted.

2. A research method for improving the performance of plateau diesel generator sets according to claim 1, characterized in that: The main test equipment of the diesel generator test platform includes diesel generator sets, adjustable AC load boxes, fuel consumption meters, smoke meters and data acquisition systems.

3. A research method for improving the performance of plateau diesel generator sets according to claim 1, characterized in that: When conducting response surface test design, four factors that have a greater impact on performance indicators are selected, namely injection pressure, circulating fuel supply, air filter diameter and fuel supply advance angle.

4. A research method for improving the performance of plateau diesel generator sets according to claim 1, characterized in that: The BP neural network improved by genetic algorithm established the prediction model of diesel generator set performance index. The tested performance indexes are output power, specific fuel consumption, starting time and smoke density. That is, the output of the neural network has 4 nodes, and the design parameters are injection pressure, circulating fuel supply, air filter diameter and fuel supply advance angle. In addition to the altitude change, the number of nodes in the input layer is 5.

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