The intelligent engine start-stop trigger system based on the actual road running status.
With the rapid development of urbanization and the popularization of the vehicle, the frequent occurrence of traffic jams results in idling fuel waste, environmental pollution, and other issues. In order to alleviate these problems, engine start-stop technology has been widely used in different type...
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Public Library of Science (PLoS)
2021
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oai:doaj.org-article:755f4d1c99e941da8f2735901b3cfc732021-12-02T20:10:03ZThe intelligent engine start-stop trigger system based on the actual road running status.1932-620310.1371/journal.pone.0253201https://doaj.org/article/755f4d1c99e941da8f2735901b3cfc732021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253201https://doaj.org/toc/1932-6203With the rapid development of urbanization and the popularization of the vehicle, the frequent occurrence of traffic jams results in idling fuel waste, environmental pollution, and other issues. In order to alleviate these problems, engine start-stop technology has been widely used in different types of vehicles in recent years. However, current start-stop trigger technology has many deficiencies, such as mistaken triggering and frequent engine start-stop, which greatly reduces user driving experience, causing most of them to deactivate this system. The intelligent engine start-stop trigger (IEST) system based on the actual road running status was established by building the image recognition model and the digital traffic analysis model in order to solve this problem. A system test shows that IEST can avoid frequently engine starting and stopping. The results show that IEST could effectively improve the driving experience and reduce engine fuel consumption, and it promotes conventional engine start-stop technology.Xinhuan ZhangHongjie LiuChengyuan MaoJunqing ShiGuolian MengJinhong WuYuran PanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0253201 (2021) |
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Medicine R Science Q Xinhuan Zhang Hongjie Liu Chengyuan Mao Junqing Shi Guolian Meng Jinhong Wu Yuran Pan The intelligent engine start-stop trigger system based on the actual road running status. |
description |
With the rapid development of urbanization and the popularization of the vehicle, the frequent occurrence of traffic jams results in idling fuel waste, environmental pollution, and other issues. In order to alleviate these problems, engine start-stop technology has been widely used in different types of vehicles in recent years. However, current start-stop trigger technology has many deficiencies, such as mistaken triggering and frequent engine start-stop, which greatly reduces user driving experience, causing most of them to deactivate this system. The intelligent engine start-stop trigger (IEST) system based on the actual road running status was established by building the image recognition model and the digital traffic analysis model in order to solve this problem. A system test shows that IEST can avoid frequently engine starting and stopping. The results show that IEST could effectively improve the driving experience and reduce engine fuel consumption, and it promotes conventional engine start-stop technology. |
format |
article |
author |
Xinhuan Zhang Hongjie Liu Chengyuan Mao Junqing Shi Guolian Meng Jinhong Wu Yuran Pan |
author_facet |
Xinhuan Zhang Hongjie Liu Chengyuan Mao Junqing Shi Guolian Meng Jinhong Wu Yuran Pan |
author_sort |
Xinhuan Zhang |
title |
The intelligent engine start-stop trigger system based on the actual road running status. |
title_short |
The intelligent engine start-stop trigger system based on the actual road running status. |
title_full |
The intelligent engine start-stop trigger system based on the actual road running status. |
title_fullStr |
The intelligent engine start-stop trigger system based on the actual road running status. |
title_full_unstemmed |
The intelligent engine start-stop trigger system based on the actual road running status. |
title_sort |
intelligent engine start-stop trigger system based on the actual road running status. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/755f4d1c99e941da8f2735901b3cfc73 |
work_keys_str_mv |
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