Constrained Optimization of Fuel Efficiency for RCCI Engines
conference paper
Fuel efficiency optimization and emission reduction have become essential parts of engine research, due to the growing demand for environmental protection. In this paper, a computationally efficient optimization method has been applied to maximize the fuel efficiency under constraints of maximum pressure rise rate and various pollutant emissions using the combination of multiple regression analysis and particle swarm optimization. This optimization method has been applied to a Reactivity Controlled Compression Ignition (RCCI) engine. First, a data-driven model has been identified, which shows good agreement with experimental data for gIMEP as well as emissions. Using this RCCI model in the proposed optimization method, the optimal operating conditions for highest gross indicated thermal efficiency are determined under various conflicting emission and safety constraints.
Topics
TNO Identifier
871714
ISSN
24058963
Publisher
Elsevier B.V.
Source title
IFAC-PapersOnLine, 9th IFAC Symposium on Advances in Automotive Control, AAC 2019, 23 June 2019 through 27 June 2019
Editor(s)
Nelson-Gruel, D.
Pages
648-653
Files
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