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新能源智能拖拉机关键技术的发展现状与展望OA

Current status and prospects of key technologies for new energy intelligent tractors

中文摘要英文摘要

围绕新能源智能拖拉机这一现代农业装备的核心方向,系统论述了其在动力系统、智能控制、智能网联、整车集成及运维管理等关键领域的技术发展与挑战.研究指出,当前技术演进已从单一的能源替代迈向整车架构的系统性重构,在电驱动平台、智能控制算法等方面取得显著进展.然而,产业仍面临储能系统能量密度与成本难以平衡、复杂工况下能效管理不佳、数据标准缺失导致生态封闭,以及严苛环境下动力电池全生命周期健康管理困难等核心瓶颈.针对上述问题,学术界在基于模型预测控制的能量管理、语义互操作与数字孪生融合的网联架构,以及多物理场耦合的预测性健康管理等方面开展了前沿探索.未来,新能源智能拖拉机将向软硬件深度协同、具备全局优化与自主决策能力的智能作业终端演进,其技术突破与产业化推广对推动智慧农业建设和农业低碳转型具有重要战略意义.

Focusing on new energy intelligent tractors,the core direction of modern agricultural equipment,systematic discussions were conducted on the technological development and challenges in such key fields as power system,intelligent control,intelligent networking,vehicle integration,and operation and maintenance management.It was pointed out in the study that the evolution of current technologies had shifted from a single energy substitution to the systematic reconstruction of the whole vehicle architecture,and remarkable progress had been achieved in electric drive platforms,intelligent control algorithms and other aspects.However,the industry was still confronted with such core bottlenecks as the difficulty in balancing the energy density and cost of energy storage systems,poor energy efficiency management under complex working conditions,ecological closure caused by the lack of data standards,and the arduous task of full-life-cycle health management of power batteries in harsh environments.In response to the above problems,cutting-edge explorations were carried out by the academic community in model predictive control-based energy management,networking architecture integrating semantic interoperability and digital twins,and predictive health management based on multi-physics field coupling.It was predicted that new energy intelligent tractors would evolve into intelligent operation terminals with deep software-hardware collaboration,global optimization and independent decision-making capabilities in the future,and their technological breakthroughs and industrialization promotion were regarded as of great strategic significance for advancing the construction of smart agriculture and the low-carbon transformation of agriculture.

王保平;赵翔;褚幼晖;孙芹;卢国梁;韩兴昌;马欣;赵达

山东交通学院工程机械学院,山东 济南 250357山东交通学院工程机械学院,山东 济南 250357山东省农业机械科学研究院,山东 济南 250100||山东省农业机械科学研究院 农业农村部黄淮海现代农业装备重点实验室,山东 济南 250100||山东省农业机械科学研究院 山东省丘陵山区智慧农业装备重点实验室,山东 济南 250100山东交通学院工程机械学院,山东 济南 250357山东大学机械工程学院,山东 济南 250061山东省农业机械科学研究院,山东 济南 250100||山东省农业机械科学研究院 农业农村部黄淮海现代农业装备重点实验室,山东 济南 250100||山东省农业机械科学研究院 山东省丘陵山区智慧农业装备重点实验室,山东 济南 250100山东省创新发展研究院,山东 济南 250101山东交通学院工程机械学院,山东 济南 250357

农业科技

新能源智能拖拉机动力与传动系统智能控制智能网联系统集成运维技术体系

new energy intelligent tractorspower and transmission systemintelligent controlintelligent networkingsystem integrationoperation and maintenance technology system

《农业装备与车辆工程》 2026 (1)

1-14,14

山东省工程机械智能装备创新创业共同体重点项目(GTT20240105)山东省重点研发计划(科技军民融合)项目(2025JMRH0304)

10.3969/j.issn.1673-3142.2026.01.001

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