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Electronic parking algorithm of new energy vehicle on slope based on FMPC

Since the unique structure and transmission mode of new energy vehicles, the problem of parking prediction and control has always been the focus of its research. Therefore, to handle the predictive control problem of new energy vehicles in slope environments, the FMPC algorithm is applied to replace...

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Detalles Bibliográficos
Autores principales: Wang, Biao, Zhang, Shangyue, Ji, Wujun, Gao, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643481/
https://www.ncbi.nlm.nih.gov/pubmed/38027786
http://dx.doi.org/10.1016/j.heliyon.2023.e21587
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author Wang, Biao
Zhang, Shangyue
Ji, Wujun
Gao, Yun
author_facet Wang, Biao
Zhang, Shangyue
Ji, Wujun
Gao, Yun
author_sort Wang, Biao
collection PubMed
description Since the unique structure and transmission mode of new energy vehicles, the problem of parking prediction and control has always been the focus of its research. Therefore, to handle the predictive control problem of new energy vehicles in slope environments, the FMPC algorithm is applied to replace the core PID controller of new energy vehicles, and it is effectively validated using automotive simulation software on different slopes and vehicle masses. The experimental results indicate that new energy vehicles with FMPC algorithm can complete parking in about 6 s under different slopes and vehicle masses, while the PID algorithm may experience shaking and displacement. The FMPC algorithm proposed in the study achieves better results in electronic parking control of new energy vehicles on slopes, effectively improving the parking stability of new energy vehicles, which has practicality in practical slope parking of new energy vehicles.
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spelling pubmed-106434812023-10-30 Electronic parking algorithm of new energy vehicle on slope based on FMPC Wang, Biao Zhang, Shangyue Ji, Wujun Gao, Yun Heliyon Research Article Since the unique structure and transmission mode of new energy vehicles, the problem of parking prediction and control has always been the focus of its research. Therefore, to handle the predictive control problem of new energy vehicles in slope environments, the FMPC algorithm is applied to replace the core PID controller of new energy vehicles, and it is effectively validated using automotive simulation software on different slopes and vehicle masses. The experimental results indicate that new energy vehicles with FMPC algorithm can complete parking in about 6 s under different slopes and vehicle masses, while the PID algorithm may experience shaking and displacement. The FMPC algorithm proposed in the study achieves better results in electronic parking control of new energy vehicles on slopes, effectively improving the parking stability of new energy vehicles, which has practicality in practical slope parking of new energy vehicles. Elsevier 2023-10-30 /pmc/articles/PMC10643481/ /pubmed/38027786 http://dx.doi.org/10.1016/j.heliyon.2023.e21587 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Wang, Biao
Zhang, Shangyue
Ji, Wujun
Gao, Yun
Electronic parking algorithm of new energy vehicle on slope based on FMPC
title Electronic parking algorithm of new energy vehicle on slope based on FMPC
title_full Electronic parking algorithm of new energy vehicle on slope based on FMPC
title_fullStr Electronic parking algorithm of new energy vehicle on slope based on FMPC
title_full_unstemmed Electronic parking algorithm of new energy vehicle on slope based on FMPC
title_short Electronic parking algorithm of new energy vehicle on slope based on FMPC
title_sort electronic parking algorithm of new energy vehicle on slope based on fmpc
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643481/
https://www.ncbi.nlm.nih.gov/pubmed/38027786
http://dx.doi.org/10.1016/j.heliyon.2023.e21587
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