Study and optimization of a parallel hydraulic hybrid system for heavy vehicles
The parallel hydraulic hybridization, thanks to its simplicity and high specific power, is a suitable solution for the retrofitting of off-highway vehicles subject to work cycles with frequent stop-and-go. This work is focused on the potential of the low-cost parallel hybrid solutions, i.e. characte...
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EDP Sciences
2021
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oai:doaj.org-article:2633132201524b23940ecced3da2fd642021-11-08T15:18:51ZStudy and optimization of a parallel hydraulic hybrid system for heavy vehicles2267-124210.1051/e3sconf/202131205009https://doaj.org/article/2633132201524b23940ecced3da2fd642021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/88/e3sconf_ati2021_05009.pdfhttps://doaj.org/toc/2267-1242The parallel hydraulic hybridization, thanks to its simplicity and high specific power, is a suitable solution for the retrofitting of off-highway vehicles subject to work cycles with frequent stop-and-go. This work is focused on the potential of the low-cost parallel hybrid solutions, i.e. characterized by current-technology components, for a specific class of heavy vehicles: city buses. After functional sizing, the hybrid vehicle was modelled and simulated in the Amesim environment. The comparison with the non-hybridized reference vehicle highlighted an interesting consumption reduction, which in any case varies with the type of route. Finally, an optimization of the hybrid vehicle was carried out by means of genetic algorithms, which led to a further, and not negligible, consumption reduction compared to the hybridized version. Optimization, therefore, can be seen as a tool to overcome those minimum benefit thresholds that manufacturers consider as necessary for the industrialization and marketing of new energy recovery systems.Di Lorenzo CamillaAndretta NicolaRossetti AntonioMacor AlaricoEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 312, p 05009 (2021) |
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Environmental sciences GE1-350 |
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Environmental sciences GE1-350 Di Lorenzo Camilla Andretta Nicola Rossetti Antonio Macor Alarico Study and optimization of a parallel hydraulic hybrid system for heavy vehicles |
description |
The parallel hydraulic hybridization, thanks to its simplicity and high specific power, is a suitable solution for the retrofitting of off-highway vehicles subject to work cycles with frequent stop-and-go. This work is focused on the potential of the low-cost parallel hybrid solutions, i.e. characterized by current-technology components, for a specific class of heavy vehicles: city buses. After functional sizing, the hybrid vehicle was modelled and simulated in the Amesim environment. The comparison with the non-hybridized reference vehicle highlighted an interesting consumption reduction, which in any case varies with the type of route. Finally, an optimization of the hybrid vehicle was carried out by means of genetic algorithms, which led to a further, and not negligible, consumption reduction compared to the hybridized version. Optimization, therefore, can be seen as a tool to overcome those minimum benefit thresholds that manufacturers consider as necessary for the industrialization and marketing of new energy recovery systems. |
format |
article |
author |
Di Lorenzo Camilla Andretta Nicola Rossetti Antonio Macor Alarico |
author_facet |
Di Lorenzo Camilla Andretta Nicola Rossetti Antonio Macor Alarico |
author_sort |
Di Lorenzo Camilla |
title |
Study and optimization of a parallel hydraulic hybrid system for heavy vehicles |
title_short |
Study and optimization of a parallel hydraulic hybrid system for heavy vehicles |
title_full |
Study and optimization of a parallel hydraulic hybrid system for heavy vehicles |
title_fullStr |
Study and optimization of a parallel hydraulic hybrid system for heavy vehicles |
title_full_unstemmed |
Study and optimization of a parallel hydraulic hybrid system for heavy vehicles |
title_sort |
study and optimization of a parallel hydraulic hybrid system for heavy vehicles |
publisher |
EDP Sciences |
publishDate |
2021 |
url |
https://doaj.org/article/2633132201524b23940ecced3da2fd64 |
work_keys_str_mv |
AT dilorenzocamilla studyandoptimizationofaparallelhydraulichybridsystemforheavyvehicles AT andrettanicola studyandoptimizationofaparallelhydraulichybridsystemforheavyvehicles AT rossettiantonio studyandoptimizationofaparallelhydraulichybridsystemforheavyvehicles AT macoralarico studyandoptimizationofaparallelhydraulichybridsystemforheavyvehicles |
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