Development and validation of a marine sequential turbocharging diesel engine combustion model based on double Wiebe function and partial least squares method. (1st November 2017)

• Record Type: Journal Article
• Authors: Sun, Yongrui; Wang, Hechun; Yang, Chuanlei; Wang, Yinyan
• Is Part Of: Energy conversion and management. Volume 151(2017)
• Page Start: 481
• Page End: 495
• Publication Date: 2017-11-01
• Subjects: Marine diesel engine -- Sequential turbocharging -- Combustion model -- Wiebe function -- Partial least squares; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2017.08.085
• Languages: English
• ISSNs: 0196-8904

Abstract

Highlights: New method for calculating the initial values of Wiebe parameters is proposed. Combustion model is calibrated by PLS-R for solving the high dimensionality and relevancy. Combustion model could accurately predict the performance of engine with different STC systems. Abstract: Developing an accurate combustion model for a Sequential Turbocharging diesel engine is an efficient way to reduce the time consumption and the expensive experiment costs in the process of determining the control strategy of a Sequential Turbocharging system. In this paper, 142 operations of a marine diesel engine with two Sequential Turbocharging systems are used for this research. A novel method is proposed to calculate the initial values and limit bounds of the Wiebe parameters, and the use of this method could effectively avoid the occurrence of impossible solutions or multiple solutions caused by only using nonlinear least square fitting. The calculated Wiebe parameters could achieve a high level of accuracy that the mean value of the determination coefficient between the simulated and experimental heat release rate profiles is 0.98 for all the operations, and they are accurate enough for developing the combustion model. The partial least square regression is first imposed to relate the Wiebe parameters to the operating conditions. For the ability to solve the multiple correlations among the operating conditions, the prediction performance of the combustion model developed by partial least square regression is much higher than that by least square regression. The mean absolute percentage errors of the brake specific fuel consumption and maximum in-cylinder pressure simulated by the model are 0.284% and 1.39%, respectively. The model could accurately predict the engine performance and is sufficient to make the reasonable control strategies for the different Sequential Turbocharging systems.