基于自适应观测器的氢内燃机排气流量估计

doi:10.13229/j.cnki.jdxbgxb.20250361

Abstract

Abstract:

To enable accurate and real-time estimation of exhaust mass flow rate in internal combustion engines， a hydrogen internal combustion engine exhaust flow estimation method based on adaptive observer was proposed. By combining the velocity density formula， the exhaust efficiency of the internal combustion engine was estimated through real-time adaptive estimation of key parameters to be identified. Firstly， an exhaust model was established based on the pressure dynamics model at the exhaust manifold and the mass flow model of exhaust gas at the exhaust outlet. To balance signal acquisition accuracy and computational resource efficiency， the established exhaust model was discretized. Then， an adaptive state observer was designed， and its parameters were adjusted to ensure performance and convergence. Finally， the exhaust efficiency of the parameter to be identified was estimated through an adaptive observer， and the exhaust gas flow rate of the cylinder was calculated based on the exhaust gas velocity density formula. The co-simulation results using GT-SUITE and Simulink demonstrate that the proposed method exhibits good performance in both steady-state and transient operating conditions.

Key words: control theory and control engineering, hydrogen internal combustion engine, opposed-piston two-stroke engine, exhaust gas flow estimation, adaptive observer

CLC Number:

TP273

Peng-yuan SUN,Guo-dong CHEN,Hui-feng ZHANG,Wei-xuan CHEN,Shuai LIU. Adaptive observer⁃based estimation of exhaust gas flow in hydrogen internal combustion engines[J].Journal of Jilin University(Engineering and Technology Edition), 2025, 55(9): 2837-2846.

Figures/Tables 11

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Adaptive observer⁃based estimation of exhaust gas flow in hydrogen internal combustion engines

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