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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU146094" target="_blank" >RIV/00216305:26210/22:PU146094 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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 optimizat

Název v anglickém jazyce

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

Popis výsledku anglicky

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 optimizat

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů