Publication detail

Capability Study of a Built-In ECMS Algorithm for Hybrid Electric Vehicles in GT-Suite Software

UŠIAK, M. BÖHM, M. ŠEBELA, K.

Original Title

Capability Study of a Built-In ECMS Algorithm for Hybrid Electric Vehicles in GT-Suite Software

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Greenhouse gases jeopardize world’s climate. A significant amount of these pollutants is produced by road vehicles, so their producers are forced to reduce their emissions significantly. This means that every car manufacturer is expanding their electrified vehicle range. Fully electric vehicles are the best way for long-term elimination of greenhouse gases production in road transport. However, in the short term it is not possible to switch all vehicles to EVs. Temporary solutions are hybrid electric vehicles, which offer a compromise between conventional and electric vehicles. In addition to the right choice of hybrid powertrain and correct scaling of its components, it is also important to develop a suitable control strategy for its energy management. The main goal of this work is to compare the performance of the rule-based control strategy with the built-in local optimization algorithm ECMS in GT-SUITETM software. ECMS means Equivalent Consumption Minimization Strategy and is based on an optimization of selected control parameters in each time step of the driving cycle simulation. A fuel efficiency improvement will be assessed on a selected plug-in hybrid vehicle.

Keywords

Hybrid electric vehicle, Energy management, ECMS, Optimization control strategy

Authors

UŠIAK, M.; BÖHM, M.; ŠEBELA, K.

Released

7. 9. 2022

Publisher

Slovak University of Technology in Bratislava, Faculty of Mechanical Engineering

Location

Bratislava

Pages from

89

Pages to

96

Pages count

8

BibTex

@inproceedings{BUT179802,
  author="Michal {Ušiak} and Michael {Böhm} and Kamil {Šebela}",
  title="Capability Study of a Built-In ECMS Algorithm for Hybrid Electric Vehicles in GT-Suite Software",
  year="2022",
  pages="89--96",
  publisher="Slovak University of Technology in Bratislava, Faculty of Mechanical Engineering",
  address="Bratislava"
}