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

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Capability Study of a Built-In ECMS Algorithm for Hybrid Electric Vehicles in GT-Suite Software
Original language description
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
Czech name
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Czech description
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Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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