New Energy-Powered Agricultural Machinery and Equipment

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Technology".

Deadline for manuscript submissions: 25 August 2024 | Viewed by 1660

Special Issue Editors

Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Interests: interests: harvester; mechanics of materials of crops; intelligent agricultural equipment
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Guest Editor
School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Interests: harvester; mechanical troubleshooting
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Guest Editor
College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Interests: high-end agricultural machinery and equipment health maintenance; intelligent manufacturing technology and equipment
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Special Issue Information

Dear Colleagues,

In the context of controlling global warming, the demand for new energy agricultural equipment for modern agricultural production is becoming more and more urgent. According to the statistics of the Consultative Group on International Agricultural Research (CGIAR), due to the high dependence on fossil energy, the energy consumption in the agri-food production process accounts for nearly 30% of the world's total energy consumption and contributes to about one-third of carbon emissions, of which the planting process alone contributes to nearly 20% of global carbon emissions. In order to achieve the goal of controlling carbon emissions and fossil energy consumption, it is necessary to reduce the high dependence of agricultural production on fossil energy, so the development of new energy-powered agricultural machinery and equipment with electric technology at the core is imperative. In this regard, this journal is hereby launching a call for papers in the research field of "New Energy-Powered Agricultural Machinery and Equipment" to provide ideas and technical references for the innovation and development of new energy-powered agricultural machinery and equipment around the world.

Potential topics include, but are not limited to:

  • Structural innovation design of agricultural machinery and equipment for new energy power;
  • Development and utilization of new energy power applicable to agricultural machinery and equipment;
  • Intelligent control system development of agricultural machinery and equipment with new energy power;
  • Application, scenario and promotion of new energy power for agricultural equipment.

Dr. Cheng Shen
Prof. Dr. Zhong Tang
Prof. Dr. Maohua Xiao
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • structural innovation design of agricultural machinery and equipment for new energy power
  • development and utilization of new energy power applicable to agricultural machinery and equipment
  • intelligent control system development of agricultural machinery and equipment with new energy power
  • application, scenario and promotion of new energy power for agricultural equipment

Published Papers (2 papers)

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Research

21 pages, 11797 KiB  
Article
Multi-Scenario Variable-State Robust Fusion Algorithm for Ranging Analysis Framework
by Kaiting Xie, Zhaoguo Zhang and Faan Wang
Agriculture 2024, 14(4), 516; https://doi.org/10.3390/agriculture14040516 - 23 Mar 2024
Viewed by 658
Abstract
Integrating modern information technology with traditional agriculture has made agricultural machinery navigation essential in PA (precision agriculture). However, agricultural equipment faces challenges such as low positioning accuracy and poor algorithm adaptability due to the complex farmland environment and various operational requirements. In this [...] Read more.
Integrating modern information technology with traditional agriculture has made agricultural machinery navigation essential in PA (precision agriculture). However, agricultural equipment faces challenges such as low positioning accuracy and poor algorithm adaptability due to the complex farmland environment and various operational requirements. In this research, we proposed a generalized ranging theoretical framework with multi-scenario variable-state fusion to improve the GNSS (Global Navigation Satellite System) observation exchange performance among agricultural vehicles, and accurately measure IVRs (inter-vehicular ranges). We evaluated the effectiveness of three types of GNSS observations, including PPP-SD (precise single point positioning using single difference), PPP-TCAR (precise single point positioning using double difference based on three-carrier ambiguity resolution), and PPP-LAMBDA (precise single point positioning using double difference based on least-squares ambiguity decorrelation adjustment). Moreover, we compared the accuracy of IVRs measurements. Our framework was validated through field experiments in different scenarios. It provides insights into the appropriate use of different positioning algorithms based on the application scenario, application objects, and motion states. Full article
(This article belongs to the Special Issue New Energy-Powered Agricultural Machinery and Equipment)
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17 pages, 9228 KiB  
Article
Research on Energy Distribution Strategy of Tandem Hybrid Tractor Based on the Pontryagin Minimum Principle
by Rundong Zhou, Lin Wang, Xiaoting Deng, Chao Su, Song Fang and Zhixiong Lu
Agriculture 2024, 14(3), 440; https://doi.org/10.3390/agriculture14030440 - 07 Mar 2024
Viewed by 570
Abstract
In order to study the energy distribution of the tandem hybrid tractor and achieve optimal fuel economy under the whole operating condition, an energy distribution strategy based on PMP (Pontryagin minimum principle) is proposed. The performance parameters of the relevant power components are [...] Read more.
In order to study the energy distribution of the tandem hybrid tractor and achieve optimal fuel economy under the whole operating condition, an energy distribution strategy based on PMP (Pontryagin minimum principle) is proposed. The performance parameters of the relevant power components are obtained by constructing the test bench of the tandem hybrid tractor. At the same time, the mathematical model of energy distribution is established from the aspects of energy distribution objective function, state variable, and variable constraint. Based on the external characteristic test of the hub motor and the resistance analysis, the transport operation condition of the tractor is selected as the simulation target condition. The ADVISOR2002 and Simulink software are used to jointly simulate the three energy distribution strategies: the thermostat type, the power-following type, and the PMP type. The simulation results show that, compared with the other two, the fuel economy and battery power loss of the PMP-based energy distribution strategy are significantly improved. The fuel consumption per 100 km is decreased by 32.91% and 26.10%, respectively, which verifies the feasibility of the strategy. This study is of great significance for improving the production efficiency and reducing fuel consumption of hybrid tractors. Full article
(This article belongs to the Special Issue New Energy-Powered Agricultural Machinery and Equipment)
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