Unlock instant, AI-driven research and patent intelligence for your innovation.

A method and device for reducing pre-ignition of a hydrogen engine

A hydrogen engine and particle swarm algorithm technology, applied in the direction of engine control, machine/engine, mechanical equipment, etc., can solve problems such as affecting the use of the engine, shutting down and stopping operation, unable to work normally, etc., to extend the service life, ensure reliability, The effect of convenient inspection and maintenance

Active Publication Date: 2022-03-11
NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The pre-ignition and backfiring of hydrogen-fueled engines promote and transform each other. When the working process of hydrogen-fueled internal combustion engines is improperly organized, the possibility of abnormal combustion is greater. This abnormal combustion will not only affect the basic use of the engine, but may even cause flameout Serious consequences such as stopping operation and failing to work normally

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method and device for reducing pre-ignition of a hydrogen engine
  • A method and device for reducing pre-ignition of a hydrogen engine
  • A method and device for reducing pre-ignition of a hydrogen engine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] Such as figure 1 As shown, a method for reducing the occurrence of pre-ignition in a hydrogen engine comprises the following steps:

[0056] Step S101: Collect hydrogen engine data corresponding to each rotational speed under different injection modes;

[0057] Step S102: use the hydrogen engine data to train the BP neural network in a non-linear input and output mode;

[0058] Step S103: Use the output of the trained BP neural network as the individual fitness value of the particle swarm algorithm, update the speed and position of each particle, assign the optimal individual obtained by the particle swarm algorithm to the neural network, and obtain different injection modes The predicted value of the maximum indicated power, indicated thermal efficiency or the lowest emission of nitrogen oxides of the hydrogen engine corresponding to different rotational speeds;

[0059] Step S104: Compare the predicted values ​​under different injection modes, and determine the inje...

Embodiment 2

[0062] Such as figure 2 As shown, another method to reduce the occurrence of pre-ignition in hydrogen engines includes:

[0063] Step S201: Collect hydrogen engine data corresponding to each speed under single injection and split injection (two injections arranged at intervals along the intake port); the hydrogen engine data includes injection pressure, indicated power, indicated thermal efficiency, and NO emissions quantity.

[0064] Specifically, this embodiment is tested on a Jialing 600 single-cylinder intake pipe injection engine, and the geometric parameters of the engine are obtained by actual measurement after disassembly, as shown in Table 1. For single injection and branch injection, the positions of the nozzle holes are fixed as follows: the nozzle hole of the single injection is located at the nose bridge of the air inlet, the position of the nozzle hole before the branch injection is the same as that of the single injection, The latter nozzle hole is located at...

Embodiment 3

[0083] Such as Figure 11 As shown, a device for reducing pre-ignition of a hydrogen engine includes:

[0084]The collection module 301 is used to collect hydrogen engine data corresponding to each rotational speed under different injection modes;

[0085] The training module 302 is used to use the non-linear input and output mode to train the BP neural network through the hydrogen engine data;

[0086] The optimization prediction module 303 is used to use the output of the trained BP neural network as the individual fitness value of the particle swarm algorithm, update the speed and position of each particle, and assign the optimal individual obtained by the particle swarm algorithm to the neural network, Obtain the predicted value of the maximum indicated power, indicated thermal efficiency or the lowest emission of nitrogen oxides of the hydrogen engine corresponding to different speeds in different injection modes;

[0087] The first comparison module 304 is configured t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of optimization control of hydrogen engines, and discloses a method and device for reducing pre-ignition of hydrogen engines; the method includes: collecting hydrogen engine data corresponding to each rotational speed under different injection modes; The BP neural network is trained in linear input and output mode; the output of the trained BP neural network is used as the individual fitness value of the particle swarm algorithm, and the speed and position of each particle are updated, and the optimal individual obtained by the particle swarm algorithm Endow the neural network to obtain the predicted value of the maximum indicated power, indicated thermal efficiency or the lowest nitrogen oxide emission of the hydrogen engine corresponding to different speeds under different injection modes; compare the predicted values ​​under different injection modes, and determine according to the comparison results Injection mode, rotational speed and hydrogen engine data; the device includes an acquisition module, a training module, an optimization prediction module and a first comparison module. The invention can effectively reduce the probability of early combustion of the hydrogen engine.

Description

technical field [0001] The invention relates to the technical field of optimization control of hydrogen engines, in particular to a method and device for reducing pre-ignition of hydrogen engines. Background technique [0002] Nowadays, the global temperature is rising, the smog is serious, and various environmental pollution problems are intensifying, which hinders the normal life of human beings. One of the culprits of this problem is undoubtedly the exhaust gas emitted by automobiles. At present, global environmental pollution is intensifying, and oil resources are also facing severe challenges of gradual shortage. Energy saving, emission reduction and sustainable development have become the only way for the whole country and even the world. The current predicament can only be solved with the fuel of the engine. Although the application prospect of hydrogen is very broad, it has many advantages when it is used for fuel combustion. Due to the great difference in the physi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): F02D41/00F02D41/14F02D41/30
CPCF02D41/0027F02D41/1405F02D41/1401F02D41/30
Inventor 王丽君刘艳涛高冠阳杨振中段俊法郭朋彦党金金
Owner NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER