Method for optimizing smoking limit value of electronic control diesel engine under working condition of rapid acceleration of accelerator

An optimization method and technology for diesel engines, applied in design optimization/simulation, biological neural network model, data processing applications, etc., can solve the problems of air intake response lag, diesel engine combustion and emission performance deviating from steady state conditions, deterioration, etc. The effect of reducing smoke and PM emissions, reducing test workload, and reducing test time and cost

Active Publication Date: 2021-08-31
GUANGXI UNIV
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Under such working conditions, the amount of circulating fuel injection increases suddenly, and the intake response lags behind the change of fuel injection, which causes the combustion and emission performance of the diesel engine to deviate greatly from the steady-state working conditions, and often tends to deteriorate

Method used

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  • Method for optimizing smoking limit value of electronic control diesel engine under working condition of rapid acceleration of accelerator
  • Method for optimizing smoking limit value of electronic control diesel engine under working condition of rapid acceleration of accelerator
  • Method for optimizing smoking limit value of electronic control diesel engine under working condition of rapid acceleration of accelerator

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Embodiment 1

[0031] Such as figure 1 As shown, the optimization method of the electronic control diesel engine smoke limit under the throttle rapidly increasing working condition of the present embodiment 1 comprises the following steps,

[0032] Step S01, based on the LSTM neural network, respectively establish a variety of transient models of the accelerator operation conditions, wherein the accelerator operation conditions include a constant speed acceleration operation condition, a constant torque acceleration operation condition and an acceleration acceleration operation condition; wherein, This step can also adjust the position as required, such as being placed between step S05 and step S10;

[0033] Step S03, based on the LSTM neural network prediction algorithm combined with diesel engine steady-state test and transient test test data to establish a transient process cycle intake air volume, cycle combustion efficiency and emission prediction model; this step can also adjust the po...

Embodiment 2

[0048] This embodiment 2 will further illustrate.

[0049] Such as figure 2 As shown, the optimization method of the electronic control diesel engine smoke limit under the throttle rapidly increasing working condition of the present embodiment 2 comprises the following steps,

[0050] (1) Combining the test data of diesel engine steady-state test (universal characteristics) and transient test (only torque change, only speed change, torque and speed change at the same time), based on the LSTM neural network prediction algorithm, the cycle of the transient process is established Predictive models for air intake, cycle combustion efficiency and emissions. This step is an existing technology, and the LSTM neural network can be used to predict NOx emissions according to the existing technology, so it will not be repeated here.

[0051] (2) Combine the genetic algorithm to optimize the initial value of the neuron weight of the LSTM neural network, and improve the defect of the ra...

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Abstract

The invention discloses a method for optimizing the smoking limit value of an electronic control diesel engine under the working condition of rapid acceleration of accelerator, belongs to the technical field of diesel engines, and particularly relates to the method for optimizing the smoking limit value of the electronic control diesel engine under the working condition of rapid acceleration of accelerator. According to the method, a prediction model of circulating air inflow, circulating combustion efficiency and emission in the transient process is established based on an LSTM neural network prediction algorithm in combination with test data of a steady-state test and a transient test of the diesel engine, the circulating mixed gas concentration is determined according to the power demand quantity of each cycle, and then a transition path is designed in combination with a theory; and the transition paths are analyzed one by one by using the prediction model with stable circulating combustion efficiency and low emission as targets so as to obtain the optimal transition path, and the smoking limit value MAP graph of the transient process is formed by combining the state parameters of the diesel engine so as to realize the optimization of the smoking limit value.

Description

technical field [0001] The invention relates to the technical field of diesel engines, in particular to an optimization method for the smoke limit value of an electronically controlled diesel engine under the working condition of rapidly increasing throttle. Background technique [0002] In real life, diesel engines are often in transient conditions where the throttle increases sharply, such as when the diesel vehicle accelerates to climb a steep slope, when the load of the bulldozer suddenly increases, and when the deep tiller is in contact with the soil. Under such working conditions, the amount of circulating fuel injection increases suddenly and the intake response lags behind the change of fuel injection, which causes the combustion and emission performance of the diesel engine to deviate greatly from the steady-state working conditions, and tends to deteriorate. Therefore, many countries have specially proposed transient working condition test items in the economic and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/04G06F30/27
CPCG06Q10/04G06F30/27G06N3/044
Inventor 杨蓉卓能聪覃频频
Owner GUANGXI UNIV
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