A Robust Model Predictive Control for efficient thermal management of internal combustion engines

Francesco Pizzonia, Teresa Castiglione and Sergio Bova

Applied Energy, 2016, vol. 169, issue C, 555-566

Abstract: Optimal thermal management of modern internal combustion engines (ICE) is one of the key factors for reducing fuel consumption and CO2 emissions. These are measured by using standardized driving cycles, like the New European Driving Cycle (NEDC), during which the engine does not reach thermal steady state; engine efficiency and emissions are therefore penalized. Several techniques for improving ICE thermal efficiency were proposed, which range from the use of empirical look-up tables to pulsed pump operation. A systematic approach to the problem is however still missing and this paper aims to bridge this gap.

Keywords: Thermal management; CO2 reduction; Nucleate boiling; Robust control; Model Predictive Control; Internal combustion engines (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (6)

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DOI: 10.1016/j.apenergy.2016.02.063

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