Progress of Research on Diesel Engine Oil-Machine Synergy Means and its Sensitivity Analysis

Authors: Chen R and Wu H

DOI: 10.23880/ppej-16000404

Volume 9, Issue 1

Abstract

Diesel engines, with their high compression ratios, high thermal efficiency, and low fuel consumption rates, are still the main source of power in the engineering field. The performance of the diesel engine is essentially determined by the combustion process, which in turn depends on the fuel characteristics and the diesel engine's technical architecture of the work cycle mode suitability (oil-engine synergy). Currently, the sensitivity analysis of the core parameters of oil-engine synergy lacks theoretical support and means of reference. Aiming at the problems of unclear definition method of sensitivity parameters, unclear influence mechanism, and imperfect model construction, this paper proposes an evaluation method system composed of oil-engine synergistic sensitivity factor determination and quantitative analysis of contribution degree, which includes characteristic data acquisition, model construction and research, and sensitivity analysis and application. The sensitivity analysis method system of oil-engine synergistic parameters proposed in this paper aims to enhance the practical application effect of the sensitivity analysis algorithm and provide methods and data references in fuel design and control parameter optimization. In this paper, a sensitivity analysis phenomenological model is constructed based on the massive data of fuel physical and chemical characteristics parameters and engine control parameters on the efficiency of oil-engine cooptimization. The model specifies the influence weights of fuel physical and chemical characteristics parameters and engine control parameters on combustion elements and index parameters.

Keywords: Fuel Physical and Chemical Properties; Engine Control Parameters; Machine Learning; Intelligent Optimization Algorithms; Sensitivity Analysis

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