Abstract
The paper outlines a procedure for the computer-controlled calibration of the combined zero-dimensional (0D) and one-dimensional (1D) thermodynamic simulation model of a turbocharged internal combustion engine (ICE). The main purpose of the calibration is to determine input parameters of the simulation model in such a way as to achieve the smallest difference between the results of the measurements and the results of the numerical simulations with minimum consumption of the computing time. An innovative calibration methodology is based on a novel interaction between optimization methods and physically based methods of the selected ICE sub-systems. Therein physically based methods were used for steering the division of the integral ICE to several sub-models and for determining parameters of selected components considering their governing equations. Innovative multistage interaction between optimization methods and physically based methods allows, unlike the use of well-established methods that rely only on the optimization techniques, for successful calibration of a large number of input parameters with low time consumption. Therefore, the proposed method is suitable for efficient calibration of simulation models of advanced ICEs.
Highlights
Software tools for thermodynamic modeling of internal combustion engines (ICEs) [1,2,3,4] have become indispensable for developing and optimizing the ICEs
The Hybrid Calibration Method (HCM) presented in this work represents a methodological background for the calibration procedure of the ICESM, which is intended to be implemented in an ICE modeling tool to support automatic execution the entire HCM workflow, where the user will be guided by the graphical user interface
Comparison of the transient operating conditions as well, Appendix C presents the results of the hot transient operating measured and simulated data provides the basis for the systematic conditions of the ICESM coupled with the engine brake running in speed mode
Summary
Software tools for thermodynamic modeling of internal combustion engines (ICEs) [1,2,3,4] have become indispensable for developing and optimizing the ICEs. Due to the higher level of prediction and the availability of all required sensor and actuator channels that are exchanged with the engine control unit, thermodynamic engine models are favored in the early stages of development where measurement data are not yet available. This applies to various model in the loop, software in the loop or hardware in the loop applications related to the development of engine controls and in applications where more detailed data on transients of gas path dynamics and engine torque (including cycle resolved torque) as well as on thermal responses of the components are required. Due to hardware performance constraints and due to computational time limitations, commercial thermodynamic engine simulation tools for modeling the complete internal combustion engine, including intake and exhaust manifolds, rely on 0D and 1D modeling approaches and do not incorporate three-dimensional (3D) modeling approaches, or just take advantage of using coupling
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