Title:
NEURAL NETWORK MODEL-BASED INTAKE AIR AMOUNT ESTIMATION METHOD FOR SECONDARY INFLATION MODEL OF GASOLINE ENGINE
Document Type and Number:
WIPO Patent Application WO/2022/237074
Kind Code:
A1
Abstract:
The present invention relates to the field of engine parameter estimation, and in particular, to a neural network model-based intake air amount estimation method for a secondary inflation model of a gasoline engine. The method comprises the following steps: 1, measuring and recording data of each steady-state operating condition point by means of an engine pedestal, the data comprising an engine speed, an air-fuel ratio, a fuel consumption amount, a throttle opening degree, and the ratio of pressures in front of and behind the throttle; 2, calculating an air intake amount according to the data recorded in step 1; 3, normalizing the throttle opening degree, the ratio of ratio of pressures in front of and behind the throttle, and the intake air amount; 4, constructing a neural network model; 5, substituting the processed data into the neural network model for training; and 6, estimating the intake air amount of an engine by using the trained neural network model. According to the present invention, for an engine not provided with a matched intake air flow meter, the intake air amount can be estimated by means of the neural network model according to the throttle opening degree and the ratio of pressures in front of and behind the throttle, the accuracy of the result is improved, and a great help is provided for the control stability of an engine electronic control system.
More Like This:
Inventors:
ZHENG HAILIANG (CN)
YAN TAO (CN)
HAO WEI (CN)
CHEN LI (CN)
ZHANG WENTAO (CN)
WANG YANLONG (CN)
FENG PENGPENG (CN)
WU TONG (CN)
GUO YINGJUN (CN)
ZHU ZUNXIANG (CN)
YAN TAO (CN)
HAO WEI (CN)
CHEN LI (CN)
ZHANG WENTAO (CN)
WANG YANLONG (CN)
FENG PENGPENG (CN)
WU TONG (CN)
GUO YINGJUN (CN)
ZHU ZUNXIANG (CN)
Application Number:
PCT/CN2021/125189
Publication Date:
November 17, 2022
Filing Date:
October 21, 2021
Export Citation:
Assignee:
CHINA FAW CO LTD (CN)
International Classes:
G06F30/27; G01M15/00; G06N3/04; G06N3/08
Foreign References:
| CN113392574A | 2021-09-14 | |||
| CN110552804A | 2019-12-10 | |||
| CN211058916U | 2020-07-21 | |||
| US20100298095A1 | 2010-11-25 |
Other References:
ZHENG HAILIANG; HAO WEI; CHEN LI; YAN TAO: "Simulation of Gasoline Engine Charge Model Based on Neural Network", PROCEEDINGS OF THE 2019 ANNUAL MEETING OF THE CHINESE SOCIETY OF AUTOMOTIVE ENGINEERING, CN, 31 October 2019 (2019-10-31), CN, pages 653 - 656, XP009542989
Attorney, Agent or Firm:
CHANGCHUN JIDA PATENT AGENT CO ., LTD (CN)
Download PDF: