Publication detail
Capability Study of a Built-In ECMS Algorithm for Hybrid Electric Vehicles in GT-Suite Software
UŠIAK, M. BÖHM, M. ŠEBELA, K.
English 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
en
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.
English 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 in English
Hybrid electric vehicle, Energy management, ECMS, Optimization control strategy
Released
07.09.2022
Publisher
Slovak University of Technology in Bratislava, Faculty of Mechanical Engineering
Location
Bratislava
Pages from–to
89–96
Pages count
8
BIBTEX
@inproceedings{BUT179802,
author="Michal {Ušiak} and Michael {Böhm} and Kamil {Šebela} and Josef {Štětina} and David {Svída},
title="Capability Study of a Built-In ECMS Algorithm for Hybrid Electric Vehicles in GT-Suite Software",
year="2022",
month="September",
pages="89--96",
publisher="Slovak University of Technology in Bratislava, Faculty of Mechanical Engineering",
address="Bratislava"
}