Affiliations: School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China
Correspondence:
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Corresponding author: Guojin Chen, School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, China. E-mail: [email protected].
Abstract: The internal combustion power equipment is a typical cyber-physical system (CPS). The traditional design method is to separate the information system from the physical system, and then to simulate and optimize separately every system. That can not achieve the best performance. Aiming at the internal combustion power equipment with multi-disciplinary deep integration, this paper establishes the multi-disciplinary model of the whole and key components based on Dymola software. There are mainly mechanical system, combustion system, cooling system, control system and other simulation models, including deceleration and fuel cut-off control unit modeling, start-stop control unit modeling and speed limit control unit modeling. The performance of each model is simulated and analyzed. The mathematical models of engine characteristic curve and fuel supply rate curve are established through experimental study. Finally, taking the simulation model of automobile power system as an example, the simulation calculation and experimental verification are carried out, and the relationship among fuel supply rate, torque, speed and valve of internal combustion engine is obtained, as well as the cooling capacity of the cooling system is studied. The experimental results show that the maximum error between the simulation speed curve and the actual speed curve is within ± 2 km/h. The research results of this paper can provide theoretical basis for multidisciplinary modeling and simulation of internal combustion power equipment, and also provide technical support for performance analysis of internal combustion engine.
Keywords: Internal combustion power equipment, multidisciplinary unification, modeling and simulation, cyber-physical system (CPS), fuel delivery rate, dynamic modeling laboratory (Dymola)
