Automotive engine control and hybrid systems: Challenges and opportunities

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Abstract

M. D. Di Benedetto is with the Dipartimento di Ingegneria Eletirica. Lniversità dell'Aquila. L'Aquila 67040, Italy dibenede@ing.univaq.it C. Pinello is with the Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA 94720 USA pinello@eecs.berkeley.edu A. L. Sangiovanni-Vinccnlelli is with PARADES, Rome 00186, Italy and also with ihe Department oi' Electrical Engineering and Computer Science. University of California a! Berkeley. Berkeley. CA 94720 USA alberto@eecs.berkelev.edu The design of engine control systems has been traditionally carried out using u mix of heuristic techniques validated h simulation and prototyping using approximate average-value models. However, the ever increasing demands on passengers' comfort, safety, emissions, and fuel consumption imposed by car manufacturers and regulations call for more robust techniques and the use of cycle-accurate models. We argue that these models must be hybrid because of the combination of lime-domain and evens-based behaviors. In this paper, we present a hybrid model of the engine in which both continuous and discrete time-domain as well as event-based phenomena are modeled in a separate but integrated manner. Based on this model, we formalize the specification of the overall engine control by defining a number of hybrid control problems. To cope with the difficulties arising in the design of hybrid controllers, a design methodology is proposed. This methodology consists of a relaxation o/ the hvbrid problem bv simplifying some of its components to obtain a solvable problem, and then deriving a solution to the original control problem by appropriate'}' modifying the control law so obtained lo take into consideration the original specifications and models. The effectiveness of this approach is illustrated on three challenging problems: fast force-transient control, cutoff control, and idle speed control. Keywords-Engine control, hybrid dynamical systems, modeling, models of computation. © 2000 IEEE Publisher Item Identifier S 0018-9219(00)06457-4.

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Balluchi, A., Benvenuti, L., Benedetto, M. D. D. I., Member, S., Pinello, C., & Luigi, A. (2000). Automotive engine control and hybrid systems: Challenges and opportunities. Proceedings of the IEEE, 88(7), 888–911. https://doi.org/10.1109/5.871300

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