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Internal combustion engine cooling water flow intelligent control method based on RBF neutral network

A cooling water flow and intelligent control technology, applied in the direction of coolant flow control, neural learning method, biological neural network model, etc., can solve the problems of power reduction, exhaust emission deterioration, increased fuel consumption, etc., to reduce parts wear Aggravate and reduce the degree of environmental pollution and reduce the effect of exhaust emission deterioration

Active Publication Date: 2020-07-28
江苏隆信德科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But in fact, most internal combustion engines work when the water temperature of the body is lower than 85°C, especially diesel engines generally work between 50°C and 75°C. Roughness, reduced power, increased fuel consumption
At present, domestic and international diesel vehicles mainly use thermostats to achieve temperature regulation, but thermostats have many shortcomings: 1) It cannot control the water temperature of the internal combustion engine within the optimum operating temperature range; 2) It cannot minimize the wear of the internal combustion engine ; 3) The water temperature of the internal combustion engine cannot be well controlled, resulting in poor fuel combustion, which will increase fuel consumption to varying degrees; 4) The working temperature of the internal combustion engine cannot be well controlled, and the fuel combustion is insufficient, resulting in more waste gas and toxic gases, pollution environment, endangering human health; 5) the water temperature of the internal combustion engine cannot be controlled within the optimum working range, the temperature inside the car is low in winter, and the driver and passengers feel unbearably cold

Method used

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  • Internal combustion engine cooling water flow intelligent control method based on RBF neutral network
  • Internal combustion engine cooling water flow intelligent control method based on RBF neutral network
  • Internal combustion engine cooling water flow intelligent control method based on RBF neutral network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] This embodiment is an intelligent control method for cooling water flow of an internal combustion engine based on RBF neural network, and its control process is as follows figure 1 As shown, the method includes the following steps:

[0046] Step 1: Determine the temperature sampling frequency, and use the temperature sensor to measure the water temperature data of the internal combustion engine running for a period of time. The length of this segment of data is fixed at n, and the initial data is discarded for each update, and finally a binary data consisting of water temperature and water temperature change rate is formed. Dimensional data set; and then divided into training set and test set after normalized preprocessing. The division method is to divide the two-dimensional data set with a fixed length of n, the first n-1 columns are used as the training set, and the last 2 columns are used as the test set; the training set is processed in groups of two columns, and t...

Embodiment 2

[0079] This embodiment is a practical detection of the RBF neural network-based intelligent control method for cooling water flow of an internal combustion engine described in Embodiment 1. An internal combustion engine cooling water fluid control valve capable of implementing the intelligent control method for internal combustion engine cooling water flow described in Embodiment 1 will be provided, and its structure is as follows: image 3 As shown, the water inlet of the control valve assembly of the vehicle cooling cycle control system is connected to the water outlet of the engine, and the large cycle water outlet of the control valve assembly of the vehicle cooling cycle control system is connected to the water inlet of the water tank radiator. Install it on the car and send it to "Heilongjiang Auto Product Quality Supervision and Inspection Station" for testing.

[0080] The car model used in this embodiment: Haoluo ZZ3317N3867C1;

[0081] Engine model: WD615.96E;

[0...

Embodiment 3

[0088] This embodiment is to conduct a further actual test on the RBF neural network-based intelligent control method for the cooling water flow of the internal combustion engine described in Embodiment 1, and evaluate its effect on the water temperature control of the internal combustion engine.

[0089] The basic information of the test in this example is shown in Table 1. The test time was June 2018, the test vehicle was the same, the driver was the same, and the set target temperature range was: 60°C to 80°C.

[0090]The test results are shown in Table 2, where the average temperature rise rate refers to the average temperature rise rate from the start of the car until the water temperature rises to 70°C; The length of time the water temperature is maintained at 80°C or above.

[0091] Table 1. Basic information

[0092]

[0093] Table 2. Adopting the method of the present invention and not adopting the comparison of vehicle internal combustion engine operating paramet...

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Abstract

The invention discloses an internal combustion engine cooling water flow intelligent control method based on an RBF neutral network. According to the method, an RBF neutral network model suitable forpredicting the water temperature of an internal combustion engine is designed, and the designed RBF neutral network model is trained and tested through a temperature data set, acquired through measurement, of the internal combustion engine; and the water temperature predicted temperature of the internal combustion engine is calculated through the RBF neutral network model, the temperature difference between the predicted temperature and the target water temperature is calculated, the cooling water flow is adjusted and controlled according to the temperature difference, the operating temperature of the internal combustion engine is subjected to temperature compensation, and therefore the operating water temperature of the internal combustion engine is within a target water temperature interval in real time. The modern electronic information technology is applied to control over a cooling circulation system of the internal combustion engine, it is guaranteed that the internal combustionengine always keeps or approaches the optimal temperature interval in any climatic environment for work, thus, part abrasion aggravation is truly achieved, tail gas emission is reduced, the working manner of the internal combustion engine is improved, and then the purposes of saving energy and reducing emission are achieved.

Description

technical field [0001] The invention relates to an intelligent control method for cooling water flow of an internal combustion engine based on an RBF neural network. Background technique [0002] Energy saving and emission reduction is not only related to the country's energy security, but also can significantly reduce transportation costs and vehicle operation and maintenance costs, and affect the effectiveness of air pollution prevention and control. It is a major trend in the development of the domestic and foreign automobile industries. Energy conservation and emission reduction are closely related to the country's energy security. China is the second largest country in oil consumption. Effectively reducing the fuel consumption of internal combustion engines has become an important trend in the development of my country's internal combustion engine industry, and is directly related to my country's energy security strategy. Fuel oil accounts for 30-50% of the entire trans...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F01P7/16G06N3/04G06N3/08
CPCF01P7/16G06N3/08G06N3/045
Inventor 丁继成朱紫冬闵弘武光信
Owner 江苏隆信德科技有限公司
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