Eventos Anais de eventos
ENCIT 2020
18th Brazilian Congress of Thermal Sciences and Engineering
NONLINEAR PARAMETER ESTIMATION IN DIESEL ENGINE SIMULATION
Submission Author:
Rodrigo de Sá Leitão Martins , RJ
Co-Authors:
Rodrigo de Sá Leitão Martins
Presenter: Rodrigo de Sá Leitão Martins
doi://10.26678/ABCM.ENCIT2020.CIT20-0115
Abstract
This paper deals with reconstructing missing information in a CFR diesel engine cetane testing, according to standard ASTM D613. This process is carried through by means of an inverse analysis. The initial conditions for pressure and temperature are assumed unknown and to be estimated. As a means to quantify the sought parameters, pressure measurements are assumed to be available during the compression stroke of the diesel cycle. In order to achieve the proposed goal, simulations based on physical models are performed, aiming to to numerically quantify pressure curves to be compared and fitted to the experimental data. Relevant parameters such as cylinder pressure and temperature are taken into account. Some of these parameters may also not be directly measurable, due to hazardous conditions to which the probes would be subjected. Thus, the inverse analysis play an important role in such scenario. A parameter estimation is performed using the Levenverg-Marquardt algorithm and the estimates present good agreement with reference values. Also, the solution of the inverse problem is achieved with relatively low computational cost. Such methods can provide tools for researchers and engineers to design more efficient and environmentally friendly engines.
Keywords
Diesel engine, parameter estimation, Numerical analysis
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