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Issue title: Artificial Intelligence and Advanced Manufacturing (AIAM 2020)
Guest editors: Shengzong Zhou
Article type: Research Article
Authors: Xiong, Jiangyong; * | Li, Chongchong
Affiliations: Nanjing Vocational College of Information Technology, Xianlin University Town, Nanjing, China
Correspondence: [*] Corresponding author. Jiangyong Xiong, Nanjing Vocational College of Information Technology, No. 99 Wenlan Road, Xianlin University Town, Nanjing, 210023, China. E-mail: xiongjy@njcit.cn.
Abstract: In this study, the combination of fuel injection parameters and SCR was used to test the material emitted from DME engine combustion under different cylinder conditions by Avl-fire. In order to study the effect of injection pressure and injection time and SCR on engine emissions, the effect of injection DME on engine combustion emissions under the condition that the injection pressure changes continuously from 20 mpa-73 mpa and the injection time from BTDC to ATDC is 15° to ATDC. The study found that when the injection pressure around 38 MPa, NOX, CO and HC emissions of engine exhaust can satisfy the VI emissions requirements; When the injection time within 3.5° BTDC to 3.5° between ATDC, NOX, CO and HC emissions of engine exhaust can satisfy the VI emissions requirements; When affected by complex working conditions and environment, the production of NOX will increase. At this point, with the combination of SCR, the maximum conversion rate of NOX in the exhaust can reach nearly 79%. Through Fuzzy Logic Toolbox of MATLAB/Simulink (Fuzzy Logic Toolbox) engine emissions of Fuzzy inference system (FIS), then it is introduced into the Fuzzy Logic Controller (Fuzzy Logic Controller) in emission control, the simulation results show that under the condition of Fuzzy control, engine NOX emissions of nitrogen oxides, carbon monoxide, CO and HC hydrocarbons under the VI standard 8.9%, 4.0% and 5.0%, so as to improve the diesel car of environmental protection.
Keywords: Injection pressure, injection time, exhaust gas, SCR, fuzzy control
DOI: 10.3233/JIFS-189710
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4501-4510, 2021
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