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Optimal energy management strategy for dual-power coupling tractor based on the adaptive control technology

Hybrid tractors (HT) are regarded as the efficient agricultural machine due to their energy conservation performance and faster torque response to deal with load fluctuations. However, the strategy to allocate the battery and fuel energy for demand power should be discussed. In this paper, an on-lin...

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Detalles Bibliográficos
Autores principales: Dou, Haishi, Wei, Hongqian, Ai, Qiang, Zhang, Youtong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659192/
https://www.ncbi.nlm.nih.gov/pubmed/37983203
http://dx.doi.org/10.1371/journal.pone.0292510
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author Dou, Haishi
Wei, Hongqian
Ai, Qiang
Zhang, Youtong
author_facet Dou, Haishi
Wei, Hongqian
Ai, Qiang
Zhang, Youtong
author_sort Dou, Haishi
collection PubMed
description Hybrid tractors (HT) are regarded as the efficient agricultural machine due to their energy conservation performance and faster torque response to deal with load fluctuations. However, the strategy to allocate the battery and fuel energy for demand power should be discussed. In this paper, an on-line management strategy of the HT is proposed to optimize the energy consumption of engine and motor and to reduce torque ripple for power units. A new architecture for replacing power shift and continuously variable transmission technology is proposed. Then, the modified equivalent consumption minimization strategy (ECMS) is used to optimize the torque distribution in which the equivalent factor is further calculated for the real-time process. Besides, the modification of ECMS in variable working conditions can effectively analyse the torque distribution between the motor and engine. The numerical test is implemented that the effectiveness of the proposed energy strategy is validated in plowing conditions. The consequences indicated that the proposed power distribution strategy can adaptively allocate the torque demand according to the fluctuation load. Comparing with the traditional rule-based strategy, the proposed strategy can reduce 6.2% of the energy, and decrease torque ripple with the proposed tractor architecture.
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spelling pubmed-106591922023-11-20 Optimal energy management strategy for dual-power coupling tractor based on the adaptive control technology Dou, Haishi Wei, Hongqian Ai, Qiang Zhang, Youtong PLoS One Research Article Hybrid tractors (HT) are regarded as the efficient agricultural machine due to their energy conservation performance and faster torque response to deal with load fluctuations. However, the strategy to allocate the battery and fuel energy for demand power should be discussed. In this paper, an on-line management strategy of the HT is proposed to optimize the energy consumption of engine and motor and to reduce torque ripple for power units. A new architecture for replacing power shift and continuously variable transmission technology is proposed. Then, the modified equivalent consumption minimization strategy (ECMS) is used to optimize the torque distribution in which the equivalent factor is further calculated for the real-time process. Besides, the modification of ECMS in variable working conditions can effectively analyse the torque distribution between the motor and engine. The numerical test is implemented that the effectiveness of the proposed energy strategy is validated in plowing conditions. The consequences indicated that the proposed power distribution strategy can adaptively allocate the torque demand according to the fluctuation load. Comparing with the traditional rule-based strategy, the proposed strategy can reduce 6.2% of the energy, and decrease torque ripple with the proposed tractor architecture. Public Library of Science 2023-11-20 /pmc/articles/PMC10659192/ /pubmed/37983203 http://dx.doi.org/10.1371/journal.pone.0292510 Text en © 2023 Dou et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Dou, Haishi
Wei, Hongqian
Ai, Qiang
Zhang, Youtong
Optimal energy management strategy for dual-power coupling tractor based on the adaptive control technology
title Optimal energy management strategy for dual-power coupling tractor based on the adaptive control technology
title_full Optimal energy management strategy for dual-power coupling tractor based on the adaptive control technology
title_fullStr Optimal energy management strategy for dual-power coupling tractor based on the adaptive control technology
title_full_unstemmed Optimal energy management strategy for dual-power coupling tractor based on the adaptive control technology
title_short Optimal energy management strategy for dual-power coupling tractor based on the adaptive control technology
title_sort optimal energy management strategy for dual-power coupling tractor based on the adaptive control technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659192/
https://www.ncbi.nlm.nih.gov/pubmed/37983203
http://dx.doi.org/10.1371/journal.pone.0292510
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