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基于双层优化的分布式混合动力拖拉机能量管理策略

朱明杰 武秀恒 宋正河 谢斌 温昌凯 陈硕

智能化农业装备学报(中英文)2025,Vol.6Issue(3):1-10,10.
智能化农业装备学报(中英文)2025,Vol.6Issue(3):1-10,10.DOI:10.12398/j.issn.2096-7217.2025.03.001

基于双层优化的分布式混合动力拖拉机能量管理策略

Distributed hybrid electric tractor energy management strategy based on dual-layer optimization

朱明杰 1武秀恒 1宋正河 1谢斌 1温昌凯 1陈硕1

作者信息

  • 1. 中国农业大学工学院,北京市,100083||智能农业动力装备全国重点实验室,河南 洛阳,471039
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摘要

Abstract

As the core power equipment in modern agricultural production,the enhancement of tractor efficiency plays a pivotal role in promoting sustainable agricultural development in China.During tractor plowing operations,the complex and variable working conditions lead to frequent fluctuations in traction resistance,making it challenging for tractors to maintain an efficient and energy-saving operational state.Distributed Hybrid Electric Tractors(DHET)leverage their unique power architecture to synergistically allocate power output to the front and rear drive axles,effectively improving traction performance by combining the technical advantages of distributed and hybrid drive modes.To further enhance overall energy efficiency,this paper proposes a dual-layer energy consumption optimization energy management strategy based on Equivalent Minimum Fuel Consumption(ECMS)and system dynamic constraints.This strategy models energy management as a multi-objective optimization problem,constructing a comprehensive evaluation system for system dynamic performance and fuel economy,aiming to effectively address energy consumption losses in the power system caused by frequent fluctuations in traction resistance during plowing operations,while minimizing dynamic and economic performance indicators under system constraints.To validate the effectiveness of the proposed strategy,hardware-in-the-loop experiments were conducted for simulation verification,systematically comparing the proposed dual-layer optimization strategy with the ECMS-based energy management strategy.The hardware-in-the-loop experimental results demonstrate that,compared to the ECMS strategy based on fixed equivalent factors,the dual-layer optimization strategy significantly optimizes the operating points of the engine and motor;under the given simulation conditions,the fuel consumption of the two strategies reached 1 134.52 mL and 1 267.22 mL,respectively,with a total fuel consumption reduction of 10.47%,effectively improving the fuel economy of hybrid electric tractors and providing theoretical support and technical guidance for energy management research in hybrid electric tractors.

关键词

等效最小燃油/能量管理/分布式混动拖拉机/燃油经济性/多目标优化/硬件在环测试

Key words

equivalent minimum fuel/energy management/distributed hybrid electric tractor/fuel economy/multi-objective optimization/hardware-in-the-loop testing

分类

农业科技

引用本文复制引用

朱明杰,武秀恒,宋正河,谢斌,温昌凯,陈硕..基于双层优化的分布式混合动力拖拉机能量管理策略[J].智能化农业装备学报(中英文),2025,6(3):1-10,10.

基金项目

国家自然科学基金(52372437) (52372437)

国家重点研发计划(2022YFD2001202) National Natural Science Foundation of China(52372437) (2022YFD2001202)

National Key Research and Development Plan of China(2022YFD2001202) (2022YFD2001202)

智能化农业装备学报(中英文)

2096-7217

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