Abstract
Parameter optimization for Hybrid Electric Vehicles (HEVs) is very time consuming due to the necessity to evaluate a simulation model. This bottleneck is usually removed by using metamodels as surrogates for the simulation. We consider metamodels for longitudinal dynamics simulation, which simulate a vehicle following a given driving cycle. Typical “top-down” metamodels are parametrized by both the HEV model and the driving cycle. We propose a novel bottom-up metamodelling scheme only parametrized by the HEV model and discuss preliminary results.
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Bacher, C., Raidl, G.R., Krenek, T. (2015). A New Type of Metamodel for Longitudinal Dynamics Optimization of Hybrid Electric Vehicles. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science(), vol 9520. Springer, Cham. https://doi.org/10.1007/978-3-319-27340-2_53
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DOI: https://doi.org/10.1007/978-3-319-27340-2_53
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