论文全文 - 第28届CIMAC会议 未指定分类
该论文已在赫尔辛基举行的第28届CIMAC大会上发表,论文的版权归CIMAC所有。ABSTRACT
Electronic engine control system (ECS) used in today's complex engine systems require extensive testing. This validation procedure on an engine test bench, is time-consuming, dangerous and sometimes incapable task. Over the last decade significant efforts have been made hardware-in-the-loop simulation (HiLS) to be a trusted, cost-effective alternative for several limitations and shortcuts. For this purpose, high-fidelity as well as fast running over a wide range of operating conditions is indispensable especially for efficient evaluation of control algorithms and strategies. This paper describes the development of a virtual simulator of HiMSEN dual fuel (DF) engine. Real-time (RT) calculation model for the each gas and diesel combustion was constructed based on the mean value engine model. This mean value engine model was derived from a detailed 1D engine model, using the design of experiments (DOE) and neural network approaches to approximate the simulation results of the detailed model for cylinder quantities (e.g., the engine volumetric efficiency, the indicated efficiency, and the energy fraction of the exhaust gas). The combustion model is corresponded not only each single fuel operation but also fuel switching operation between diesel and gas. The intake and exhaust systems were completely simplified by lumping flow components together. Models for turbocharger, engine starting unit, charge air cooling system, gas regulating unit and common-rail micro pilot fuel injection system, etc., were included. Furthermore, crank-angle resolved math models for calculation of each cylinder pressure trace and knock signals were also added. Finally, the RT hardware for HiLS testing was constructed that it could cover over 250 in/out signals from generator and yard interfaces as well as between engine and controller. The ECS test linked with this HiLS system was executed according to virtual scenarios over the entire engine operation (e.g., engine start, idle operation, load run, fuel switching operation, normal stop and emergency situations). During the test, some engine control strategies (e.g., the air to fuel ratio control, the cylinder balancing and the knock control) for enhancing the engine efficiency and reducing emission were also evaluated. As the results, calculation time was maintained under 0.75 times RT with 1 millisecond iterative update during the entire operation. And, the simulation results show the similar behaviors with the actual dual fuel engine operations.
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