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

In: Modeling, Simulation and Optimization of Complex Processes HPSC 2015

Author

Listed:
  • 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))

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.

Suggested Citation

  • Enrique Guerrero Merino & Christian Kirches & Johannes P. Schlöder, 2017. "Nonlinear Optimal Control of a Heavy Duty Truck Exhaust Heat Recovery System," Springer Books, in: Hans Georg Bock & Hoang Xuan Phu & Rolf Rannacher & Johannes P. Schlöder (ed.), Modeling, Simulation and Optimization of Complex Processes HPSC 2015, pages 55-66, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-67168-0_5
    DOI: 10.1007/978-3-319-67168-0_5
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