Energy optimization control of extended-range hybrid combine harvesters based on quasi-cycle power demand estimation Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.4081/jae.2025.1819
This study develops an energy management strategy (EMS) for hybrid combine harvesters to address fluctuating power demands in agricultural operations. By segmenting harvesting processes into quasi-periodic cycles linked to machine dynamics, the method integrates component-specific power models (header, conveyor, drum) for accurate energy estimation. Real-time feed rate adjustments are achieved through dynamic responses of critical components, optimizing cycle duration and power allocation. A genetic algorithm synchronizes energy distribution and cycle timing to minimize fuel consumption. Validated via AMESim/Simulink co-simulation with dual engine models, the strategy reduces fuel use by 21.1% compared to conventional systems. Key innovations include quasi-periodic load segmentation, component-response-based feed rate prediction, and GA-driven multi-objective optimization. The approach enhances adaptability to variable harvesting conditions, offering a scalable framework for energy-efficient electrification in agriculture. Results demonstrate significant potential for hybrid systems in reducing operational costs and emissions while maintaining productivity under dynamic workloads.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4081/jae.2025.1819
- https://www.agroengineering.org/jae/article/download/1819/1331
- OA Status
- gold
- References
- 32
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410747303Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.4081/jae.2025.1819Digital Object Identifier
- Title
-
Energy optimization control of extended-range hybrid combine harvesters based on quasi-cycle power demand estimationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-26Full publication date if available
- Authors
-
Shuofeng Weng, Chaochun Yuan, Youguo He, Jie Shen, Lizhang Xu, Zhihao Zhu, Qiuye Yu, Xiaowei YangList of authors in order
- Landing page
-
https://doi.org/10.4081/jae.2025.1819Publisher landing page
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https://www.agroengineering.org/jae/article/download/1819/1331Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.agroengineering.org/jae/article/download/1819/1331Direct OA link when available
- Concepts
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Automotive engineering, Computer science, Genetic algorithm, Component (thermodynamics), Energy management, Range (aeronautics), Header, Benchmark (surveying), Engineering, Energy (signal processing), Control engineering, Simulation, Geography, Aerospace engineering, Mathematics, Physics, Statistics, Geodesy, Machine learning, Computer network, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| institutions_distinct_count | 8 |
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| citation_normalized_percentile.is_in_top_10_percent | False |