Internal combustion engine calibration using optimization algorithms

Xunzhao Yu, Ling Zhu, Yan Wang, Dimitar Filev and Xin Yao

Applied Energy, 2022, vol. 305, issue C, No S0306261921012071

Abstract: Engine calibration is a process of optimizing engine settings so that optimal engine performance, like minimum fuel consumption, minimum pollutant gas emissions, maximum power output can be achieved. With the development of vehicle engine technology, modern engines contain more adjustable parameters than before, making the engine calibration task quite complicated and difficult. Also, the environmental problem caused by pollutant emissions attracted worldwide attention, leading to a strict requirement of engine performance. Therefore, some studies have been conducted to solve modern engine calibration problems. In this survey, we review the state-of-the-art applications of different optimization approaches in diverse internal combustion motor engines. Background of engine calibration problems and the problem formulations are given at the beginning, followed by an introduction to the structure of an engine cylinder and explanations of specialized terminologies for engine performance. The research on the calibration of three different types of internal combustion engines is reviewed, including gasoline engines, diesel engines, and hybrid-powered engines. For each engine type, the review covers the research on off-board engine calibration and on-board engine calibration. In the end, we summarize the optimization methodology and discuss current gaps and future work.

Keywords: Engine calibration; Fuel consumption; Expensive optimization; Multi-objective optimization; Dynamic optimization; Meta-heuristic algorithms; Gradient-based algorithms (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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DOI: 10.1016/j.apenergy.2021.117894

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