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**Harvard**

Pourabdollah, M., Egardt, B., Murgovski, N. och Grauers, A. (2017) *Convex optimization methods for powertrain sizing of electrified vehicles by using different levels of modelling details*.

** BibTeX **

@article{

Pourabdollah2017,

author={Pourabdollah, Mitra and Egardt, Bo and Murgovski, Nikolce and Grauers, Anders},

title={Convex optimization methods for powertrain sizing of electrified vehicles by using different levels of modelling details},

journal={IEEE Transactions on Vehicular Technology},

issn={0018-9545},

volume={PP},

issue={99},

pages={1-13},

abstract={This study investigates the impact of dierent levels of modelling details on the problem of optimizing the total cost of ownership of a fuel-cell hybrid electric vehicle. In this optimization, the objective function is a weighted sum of operational and component costs over a driving cycle. The former includes the consumed hydrogen and electrical energy, and the latter includes the sum of the battery, fuel-cell, and electric-motor costs. Three methods with dierent levels of modelling details are investigated. In the first method, the optimal power split between the two power sources is optimized together with component sizes, while assuming nonlinear loss functions for the components. In the second method, the eciencies of the components are approximated by constant values. In the third method, the problem is simplified further by considering the energy split between battery and fuel-cell over trips in a driving cycle. As shown in the paper, a more detailed model will generally give more accurate results at the price of increased computation time. However, the simplified models can give similar results as the detailed model in most cases. In some problems though, the model simplifications lead to results that dier notably from those obtained by using the detailed model},

year={2017},

}

** RefWorks **

RT Journal Article

SR Electronic

ID 252920

A1 Pourabdollah, Mitra

A1 Egardt, Bo

A1 Murgovski, Nikolce

A1 Grauers, Anders

T1 Convex optimization methods for powertrain sizing of electrified vehicles by using different levels of modelling details

YR 2017

JF IEEE Transactions on Vehicular Technology

SN 0018-9545

VO PP

IS 99

SP 1

OP 13

AB This study investigates the impact of dierent levels of modelling details on the problem of optimizing the total cost of ownership of a fuel-cell hybrid electric vehicle. In this optimization, the objective function is a weighted sum of operational and component costs over a driving cycle. The former includes the consumed hydrogen and electrical energy, and the latter includes the sum of the battery, fuel-cell, and electric-motor costs. Three methods with dierent levels of modelling details are investigated. In the first method, the optimal power split between the two power sources is optimized together with component sizes, while assuming nonlinear loss functions for the components. In the second method, the eciencies of the components are approximated by constant values. In the third method, the problem is simplified further by considering the energy split between battery and fuel-cell over trips in a driving cycle. As shown in the paper, a more detailed model will generally give more accurate results at the price of increased computation time. However, the simplified models can give similar results as the detailed model in most cases. In some problems though, the model simplifications lead to results that dier notably from those obtained by using the detailed model

LA eng

DO 10.1109/TVT.2017.2767201

LK http://dx.doi.org/10.1109/TVT.2017.2767201

OL 30