A New Type of Metamodel for Longitudinal Dynamics Optimization of Hybrid Electric Vehicles

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.

DOI: 10.1007/978-3-319-27340-2_53

Cite this paper

@inproceedings{Bacher2015ANT, title={A New Type of Metamodel for Longitudinal Dynamics Optimization of Hybrid Electric Vehicles}, author={Christopher Bacher and G{\"{u}nther R. Raidl and Thorsten Krenek}, booktitle={EUROCAST}, year={2015} }