Technical Assessment of Hybrid Powertrains for Energy-efficient Heavy-Duty Vehicles
This article presents the approach used for the design optimization of heavy vehicles such as urban buses and delivery trucks as a part or the ORCA European Project. A methodology to find the optimal combination of hardware components and energy management strategy is presented and the use cases whe...
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ftdatacite:10.5281/zenodo.1487639 2023-05-15T17:53:43+02:00 Technical Assessment of Hybrid Powertrains for Energy-efficient Heavy-Duty Vehicles Barrero, Ricardo Noshin Omar Hegazy, Omar Dai-Duong Tran Mierlo, Joeri Van Lindgaarde, Olof Hellgren, Jonas Tenil Cletus Pham, Thinh Hommen, Gillis Wilkins, Steven Zurlo, Giorgio 2018 https://dx.doi.org/10.5281/zenodo.1487639 https://zenodo.org/record/1487639 unknown Zenodo https://zenodo.org/communities/tra2018 https://dx.doi.org/10.5281/zenodo.1487638 https://zenodo.org/communities/tra2018 Open Access Creative Commons Attribution Non Commercial No Derivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode cc-by-nc-nd-4.0 info:eu-repo/semantics/openAccess CC-BY-NC-ND Heavy Duty Vehicles, Hybrid Technology, Design Optimization, Modeling and Simulation, Hybrid Energy Storage System. Text Conference paper article-journal ScholarlyArticle 2018 ftdatacite https://doi.org/10.5281/zenodo.1487639 https://doi.org/10.5281/zenodo.1487638 2021-11-05T12:55:41Z This article presents the approach used for the design optimization of heavy vehicles such as urban buses and delivery trucks as a part or the ORCA European Project. A methodology to find the optimal combination of hardware components and energy management strategy is presented and the use cases where it will be applied are described. To achieve the optimal results, the vehicles need to be modeled with an appropriated methodology that allows for both performance evaluation and energy consumption assessment in short times. To achieve both objectives, the “forward” vehicle modeling, together with static or “low fidelity” models is proposed. Several simulation examples in both electric and conventional mode are given. These models will be used to assess several potential vehicles design, assess their performance, consumption and eventually estimate the total cost of ownership. Conference Object Orca DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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unknown |
topic |
Heavy Duty Vehicles, Hybrid Technology, Design Optimization, Modeling and Simulation, Hybrid Energy Storage System. |
spellingShingle |
Heavy Duty Vehicles, Hybrid Technology, Design Optimization, Modeling and Simulation, Hybrid Energy Storage System. Barrero, Ricardo Noshin Omar Hegazy, Omar Dai-Duong Tran Mierlo, Joeri Van Lindgaarde, Olof Hellgren, Jonas Tenil Cletus Pham, Thinh Hommen, Gillis Wilkins, Steven Zurlo, Giorgio Technical Assessment of Hybrid Powertrains for Energy-efficient Heavy-Duty Vehicles |
topic_facet |
Heavy Duty Vehicles, Hybrid Technology, Design Optimization, Modeling and Simulation, Hybrid Energy Storage System. |
description |
This article presents the approach used for the design optimization of heavy vehicles such as urban buses and delivery trucks as a part or the ORCA European Project. A methodology to find the optimal combination of hardware components and energy management strategy is presented and the use cases where it will be applied are described. To achieve the optimal results, the vehicles need to be modeled with an appropriated methodology that allows for both performance evaluation and energy consumption assessment in short times. To achieve both objectives, the “forward” vehicle modeling, together with static or “low fidelity” models is proposed. Several simulation examples in both electric and conventional mode are given. These models will be used to assess several potential vehicles design, assess their performance, consumption and eventually estimate the total cost of ownership. |
format |
Conference Object |
author |
Barrero, Ricardo Noshin Omar Hegazy, Omar Dai-Duong Tran Mierlo, Joeri Van Lindgaarde, Olof Hellgren, Jonas Tenil Cletus Pham, Thinh Hommen, Gillis Wilkins, Steven Zurlo, Giorgio |
author_facet |
Barrero, Ricardo Noshin Omar Hegazy, Omar Dai-Duong Tran Mierlo, Joeri Van Lindgaarde, Olof Hellgren, Jonas Tenil Cletus Pham, Thinh Hommen, Gillis Wilkins, Steven Zurlo, Giorgio |
author_sort |
Barrero, Ricardo |
title |
Technical Assessment of Hybrid Powertrains for Energy-efficient Heavy-Duty Vehicles |
title_short |
Technical Assessment of Hybrid Powertrains for Energy-efficient Heavy-Duty Vehicles |
title_full |
Technical Assessment of Hybrid Powertrains for Energy-efficient Heavy-Duty Vehicles |
title_fullStr |
Technical Assessment of Hybrid Powertrains for Energy-efficient Heavy-Duty Vehicles |
title_full_unstemmed |
Technical Assessment of Hybrid Powertrains for Energy-efficient Heavy-Duty Vehicles |
title_sort |
technical assessment of hybrid powertrains for energy-efficient heavy-duty vehicles |
publisher |
Zenodo |
publishDate |
2018 |
url |
https://dx.doi.org/10.5281/zenodo.1487639 https://zenodo.org/record/1487639 |
genre |
Orca |
genre_facet |
Orca |
op_relation |
https://zenodo.org/communities/tra2018 https://dx.doi.org/10.5281/zenodo.1487638 https://zenodo.org/communities/tra2018 |
op_rights |
Open Access Creative Commons Attribution Non Commercial No Derivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode cc-by-nc-nd-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.5281/zenodo.1487639 https://doi.org/10.5281/zenodo.1487638 |
_version_ |
1766161430033203200 |