Optimal Energy Control of Hybrid Vehicles

S. Pickenhain () and A. Burtchen ()
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S. Pickenhain: Brandenburg Technical University of Cottbus-Senftenberg, Institute of Mathematics
A. Burtchen: Brandenburg Technical University of Cottbus-Senftenberg, Institute of Mathematics

A chapter in Modeling, Simulation and Optimization of Complex Processes HPSC 2015, 2017, pp 179-188 from Springer

Abstract: Abstract In recent years route planning has been greatly facilitated by car navigation systems. The desire for resource-efficient traveling has increased, a fact that is reflected by a higher demand for hybrid vehicles. The combination of electric motor and combustion engine adapted to the specific driving situation clearly reduces fuel consumption in comparison to vehicles with a conventional combustion engine. Up to this point, despite the fact that energy consumption and travel time are significantly affected by the drivers individual driving style, the driver has mainly been excluded. The aim of this project is to develop a dynamic model to calculate the optimal power train control—including the route planning. Taking into account the maximum travel time of the entire travel route in combination with energy-minimized driving, this approach allows us to obtain a new powerful concept. We present the model and its formulation as an optimal control problem, as well as some numerical results.

Keywords: Optimal Motor Control; Power Train; Powertrain Dynamics; Simplified Motor Model; Nonlinear Model-based Predictive Control (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-67168-0_15

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DOI: 10.1007/978-3-319-67168-0_15

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