基于平行板电容器原理的智能除霜控制研究

李光野; 赵松松; 刘斌; 刘创创; 王齐; 秦豪; 鲍勇

doi:10.12465/j.issn.0253-4339.2025.06.115

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基于平行板电容器原理的智能除霜控制研究

更新时间：2025-12-03

- 基于平行板电容器原理的智能除霜控制研究
- Research on Intelligent Defrost Control Based on Parallel Plate Capacitor Principle
- 制冷学报 2025年46卷第6期页码：115-122
- 作者机构：
  
  1.天津商业大学　农业农村部农产品低碳冷链重点实验室　天津市制冷技术重点实验室　天津　 300134
  2.佛山市技师学院　佛山　 528237
- 作者简介：
  
  赵松松，男，副教授，天津商业大学机械工程学院，13820590827，E-mail：songsongzhao@tjcu.edu.cn。研究方向：制冷系统智能控制优化。
- 基金信息：
  
  国家重点研发计划(2023YFD1600705);中国博士后科学基金(2022T150503)
- DOI：10.12465/j.issn.0253-4339.2025.06.115
  中图分类号： TB657.1;TB663
- 收稿：2024-08-17，
  
  修回：2024-10-28，
  
  录用：2024-11-04，
  
  纸质出版：2025-12-16
- 稿件说明：
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李光野, 赵松松, 刘斌, 等. 基于平行板电容器原理的智能除霜控制研究[J]. 制冷学报, 2025,46(6):115-122.

Li Guangye, Zhao Songsong, Liu Bin, et al. Research on Intelligent Defrost Control Based on Parallel Plate Capacitor Principle[J]. Journal of Refrigeration, 2025, 46(6): 115-122.
李光野, 赵松松, 刘斌, 等. 基于平行板电容器原理的智能除霜控制研究[J]. 制冷学报, 2025,46(6):115-122. DOI： 10.12465/j.issn.0253-4339.2025.06.115.

Li Guangye, Zhao Songsong, Liu Bin, et al. Research on Intelligent Defrost Control Based on Parallel Plate Capacitor Principle[J]. Journal of Refrigeration, 2025, 46(6): 115-122. DOI： 10.12465/j.issn.0253-4339.2025.06.115.

摘要

针对蒸发器在结霜工况中出现“误除霜”的问题，提出一种基于平行板电容器原理的新型智能除霜控制策略，并建立蒸发器结霜-除霜过程平行板电容器数学模型，理论分析了空气/冰霜/水中间介质的占比对电容值的影响规律。电容值在结霜过程中呈线性缓慢增长，而在除霜过程中先升后降。以冷库蒸发器作为研究对象，构建了电容除霜控制系统，实验结果与理论分析电容值变化趋势一致。结果表明：32.0 pF与19.0 pF可分别作为除霜智能控制启停点；冷库中心温度波动幅度减少了12.0 ℃，除霜周期时间缩短约4 min，除霜效率提高约22%，除霜耗电量降低36.74%，制冷系统总耗电量降低19.8%。

Abstract

A novel intelligent defrosting control strategy based on the parallel-plate capacitor principle was investigated to address the issue of the “erroneous defrosting” of an evaporator. A mathematical model of a parallel-plate capacitor was established in the process of frosting and defrosting of the evaporator

and a theoretical analysis of the effects of the air/frost/water intermediate medium proportions on the capacitance value was conducted. The capacitance value showed a gradual linear growth during the frosting process

whereas it first rose and then fell during the defrosting process. This study considered a cold storage evaporator as the research object and constructed a capacitance defrosting control system. The experimental results were consistent with the theoretical analysis results for the capacitance variation trend. The results showed that 32.0 pF and 19.0 pF could be used as the start and stop points for intelligent defrosting control

respectively. The fluctuation range for the central temperature in the cold storage was reduced by 12.0 ℃. The defrosting cycle time was shortened by approximately 4 min. The defrosting efficiency increased by approximately 22%. The defrosting power consumption was reduced by 36.74%

and the total power consumption of the refrigeration system was reduced by 19.8%.

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references

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