Model-Predictive-Control-Based Reference Governor for Fuel Cells in Automotive Application Compared with Performance from a Real Vehicle

Martin Vrlić, Daniel Ritzberger and Stefan Jakubek
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Martin Vrlić: Institut für Mechanik und Mechatronik, Technische Universität Wien, Getreidemarkt 9, 1060 Vienna, Austria
Daniel Ritzberger: AVL List GmbH, Hans-List-Platz 1, 8020 Graz, Austria
Stefan Jakubek: Institut für Mechanik und Mechatronik, Technische Universität Wien, Getreidemarkt 9, 1060 Vienna, Austria

Energies, 2021, vol. 14, issue 8, 1-17

Abstract: In this paper, a real-time capable reference governor superordinate model predictive controller (RG-MPC) is developed for fuel cell (FC) control suitable for automotive application. The RG-MPC provides reference trajectories for the subordinate proportional-integral (PI) controllers, which act directly on the FC system. Antiwindup and decoupling schemes, which are common problems in multivariable PI control, are unnecessary, given that the RG-MPC can inherently consider constraints and multivariable systems. The PI dynamics are incorporated into the prediction model used for control, ensuring the feasibility of the provided references for the PI controllers. The successive linearization technique is used in the RG-MPC to cope with the model’s nonlinear nature in real-time. The concept has been illustrated in a simulation scenario featuring efficient and safe power control of an FC stack in automotive application using real driving data obtained from an in-house-built FC vehicle. This work is the first step towards upgrading an existing, PI-based control scheme without the necessity of completely rebuilding the interface.

Keywords: reference governor; fuel cell; automotive; model predictive control; successive linearization; safe operation; efficient operation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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