Constrained optimization of fuel efficiency for RCCI engines

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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.

Originele taal-2Engels
Pagina's (van-tot)648-653
Aantal pagina's6
Nummer van het tijdschrift5
StatusGepubliceerd - 28 jun 2019
Evenement9th IFAC International Symposium on Advances in Automotive Control (AAC2019) - Orléans, Frankrijk
Duur: 24 jun 201927 jun 2019


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