Study on Energy Saving and Consumption Reduction of Fresh Agricultural Products Cold Chain Logistics in China

Zhang, Yongjun; Zhang, Chang-Feng; Wu, Shenggang

doi:10.12783/dteees/epee2017/18133

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…As the foundation of modern agricultural development, agricultural machinery is advancing towards electrification, intelligence, and environmental sustainability [1]. Among these, general-purpose tractors, celebrated for their versatility and consistently high annual utilization, stand at the heart of agricultural machinery.…”

Section: Introductionmentioning

confidence: 99%

Energy Management Optimization and Validation of a Hydrogen Fuel Cell-Powered Agricultural Tractor Based on Hierarchical Dynamic Programming

Li,

Liu,

Wang

et al. 2024

IEEE Access

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In addressing challenges associated with the constrained enhancement of range performance in pure electric tractors, the difficulty in achieving genuinely eco-friendly agricultural machinery with hybrid powertrains, and the outdated approaches to energy optimization in hydrogen fuel cell tractors, a comprehensive methodology covering the entire spectrum of system design, optimization, and validation is presented. This method constructs an integrated electromechanical and hydraulic power bond graph model for an agricultural tractor, encompassing energy systems, drive systems, and lifting systems. It achieves rapid interaction between 20-sim software and Matlab/Simulink software through a script toolbox. In order to tackle the real-time applicability challenges of dynamic programming, a hierarchical dynamic programming is proposed. The dynamic programming strategy results serve as the upper-level output. At the lower layer, preprocessing of impact value variables is carried out to filter the input variables for the general regression neural network. This enables the real-time application of the dynamic programming algorithm and significantly reduces training time. Finally, a Matlab-HIL test platform is established, utilizing 20-sim, Matlab/Simulink, HIL cabinet, and PowerECU-57A controller as the core components for the test of modelin-the-loop and hardware-in-the-loop. The results demonstrate the correctness and superiority of the designed tractor simulation model and energy management strategy model compared to the power-following strategy. Specifically, in plowing conditions, the dynamic programming and hierarchical dynamic programming strategies exhibited reductions of 10.278% and 6.728%, respectively, in equivalent hydrogen consumption compared to power-following strategy. In transportation conditions, the reductions are 16.02% for dynamic programming strategy and 4.87% for hierarchical dynamic programming strategy, both relative to powerfollowing strategy. This study lays the theoretical groundwork for modeling dynamic systems of tractors and optimizing energy management.INDEX TERMS hydrogen fuel cell tractors, bond graph, energy management strategy, model-in-the-loop, hard-ware-in-the-loop.

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Section: Introductionmentioning

confidence: 99%

Energy Management Optimization and Validation of a Hydrogen Fuel Cell-Powered Agricultural Tractor Based on Hierarchical Dynamic Programming

Li,

Liu,

Wang

et al. 2024

IEEE Access

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Analysis of energy consumption status and development trend of cold chain logistics

Tang

2021

E3S Web Conf.

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As a new industry, cold chain logistics has attracted much attention. Under the strong support of national policies, the development of cold chain logistics has entered the fast lane. This study takes the energy consumption of cold chain logistics as the research object, uses the the energy consumption benchmark evaluation model of regression analysis to present the current situation of energy consumption of cold chain logistics from different dimensions, puts forward the contradictions and problems existing in the current development based on the SWOT (strengths, weaknesses, opportunities and threats) analysis method. Finally, the development trend of cold chain logistics energy consumption is predicted and relevant suggestions are put forward. The purpose of this paper is to find out the rule of effect of each factor on energy consumption in cold chain logistics, and to provide the direction for energy-saving measures in production.

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Study on Energy Saving and Consumption Reduction of Fresh Agricultural Products Cold Chain Logistics in China

Cited by 2 publications

References 2 publications

Energy Management Optimization and Validation of a Hydrogen Fuel Cell-Powered Agricultural Tractor Based on Hierarchical Dynamic Programming

Energy Management Optimization and Validation of a Hydrogen Fuel Cell-Powered Agricultural Tractor Based on Hierarchical Dynamic Programming

Analysis of energy consumption status and development trend of cold chain logistics

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