Abstract
This paper presents a simulator model of a diesel engine with a turbocharger for hardware-in-the-loop (HIL) applications, which is used to obtain engine performance data to study the engine performance under faulty conditions, to assist engineers in diagnosis and estimation, and to assist engineers in model-based calibration (MBC). The whole diesel engine system is divided into several functional blocks: air block, injection block, cylinder block, crankshaft block, cooling block, lubrication block, and accessory block. The diesel engine model is based on physical level, semi-physical level and mathematical level concepts, and developed by Matlab/Simulink. All the model parameters are estimated using weighted least-squares optimization and the tuning process details are presented. Since the sub-model coupling may cause errors, the validation process is then given to make the model more accurate. The results show that the tuning process is important for the functional blocks and the validation process is useful for the accuracy of the whole engine model. Subsequently, this program could be used as a plant model for MBC, to develop and test engine control units (ECUs) on HIL equipment for the purpose of improving ECU performance.
Highlights
Concerning the complex structure of the modern heavy duty diesel engine, the main issue in the field is how to maintain the best levels of efficiency, reliability and lifecycle cost
A simulator of a diesel engine model with a turbocharger is developed for HIL applications
The injection system is an electronic unit injector modeled based on the injector features
Summary
Concerning the complex structure of the modern heavy duty diesel engine, the main issue in the field is how to maintain the best levels of efficiency, reliability and lifecycle cost. The model-based V-cycle development mode serves to illustrate the fact that control-oriented engine models are more essential. In this mode, hardware-in-the-loop (HIL) testing plays an important role. For the purpose of HIL testing and diagnosis, this paper proposes a diesel engine model with several functional blocks: air, injection, cylinder, cooling, lubrication, and accessories. The whole model is validated using another set of experimental data It shows that the dependence on maps can be reduced by using parameterized functions to describe the diesel engine model using linear or nonlinear least-squares optimization as the tuning method for every sub-model parameter estimation. The diesel engine simulator model can be used in control system development and HIL applications
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