Nonlinear Optimal Control of a Heavy Duty Truck Exhaust Heat Recovery System

Enrique Guerrero Merino (), Christian Kirches () and Johannes P. Schlöder ()
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Enrique Guerrero Merino: Heidelberg University, Interdisciplinary Center for Scientific Computing (IWR)
Christian Kirches: Heidelberg University, Interdisciplinary Center for Scientific Computing (IWR)
Johannes P. Schlöder: Heidelberg University, Interdisciplinary Center for Scientific Computing (IWR)

A chapter in Modeling, Simulation and Optimization of Complex Processes HPSC 2015, 2017, pp 55-66 from Springer

Abstract: Abstract In order to satisfy increasingly strict environmental policies, to win markets, and to offer more advantageous operational characteristics to buyers, new heavy-duty trucks must manage energy consumption in ever more efficient ways. To this end, one way of achieving efficiency gains is the incorporation of the so-called exhaust heat recovery (EHR) systems. The present work is concerned with nonlinear optimal control of an EHR system driven by an organic Rankine cycle (ORC). We present a fully-implicit differential-algebraic (DAE) model of the system dynamics based on a moving boundary approach. An optimal control problem for energy optimal set-point transition is formulated. Using a direct multiple shooting approach, a finite-dimensional nonlinear programming problem (NLP) is obtained, which is then solved by means of a tailored sequential quadratic programming (SQP) approach. Numerical results are presented for a set-point transition problem.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-67168-0_5

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DOI: 10.1007/978-3-319-67168-0_5

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