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电动汽车R290间接式热管理系统制冷性能研究与优化

Research and optimization of refrigeration performance in R290 indirect thermal management system for electric vehicles
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摘要 针对电动汽车的高温应用场景,本文研究了电动汽车用R290双二次回路热管理系统的制冷性能。通过理论分析与实验验证,揭示了室内外参数对性能的影响机制:室内侧参数主导低压侧压力,显著影响制冷量但对系统COP(性能系数)作用有限;室外侧参数主导冷凝压力,显著影响COP但对制冷量影响较弱。针对该系统在高温工况(45℃)制冷不足问题,提出Chiller优化策略。实验表明:优化后系统低压压力提升14.3%,实现单位功耗降低10.3%且制冷量提升20.1%。本研究阐明了R290系统制冷性能的关键影响机制与优化路径,为电动汽车高效热管理系统提供理论依据与设计支撑。 Targeting high temperature application scenarios in electric vehicles,this study investigated the cooling performance of an R290 dual secondary circuit thermal management system.Through theoretical analysis and experimental validation,it revealed the influence mechanisms of indoor and outdoor parameters on system performance:Indoor-side parameters dominate the low-pressure side,significantly affecting cooling capacity but having limited impact on system COP(Coefficient of Performance);outdoor-side parameters dominated the condensation pressure,significantly influencing COP while exerting a weaker effect on cooling capacity.To address the cooling deficiency under high-temperature conditions(45 C),an optimization strategy for the Chiller was proposed.Experimental results demonstrate that the optimized system achieves a 14.3%increase in low-side pressure,effectively realizing a 10.3%reduction in unit power consumption and a 20.1%improvement in cooling capacity.This research elucidates the key influence mechanisms and optimization pathways for the cooling performance of R290systems,providing theoretical foundations and design support for high-efficiency thermal management systems in electric vehicles.
作者 赵东鹏 余力 华菁阳 席椿富 王庆洋 徐磊 陈江平 Zhao Dongpeng;Yu Li;Hua Jingyang;Xi Chunfu;Wang Qingyang;Xu Lei;Chen Jiangping(School of Mechanical Engineering,Tianjin University,Tianjin 300350,China;China Automotive Engineering Research Institute Co.,Ltd,Chongqing 401122,China;School of Mechanical Engineering,Shanghai Jiao TongUniversity,Shanghai 200240,China)
出处 《低温与超导》 北大核心 2025年第11期33-40,共8页 Cryogenics and Superconductivity
基金 国家自然科学基金(52376066)资助。
关键词 R290 电动汽车 制冷性能 优化研究 R290 Electricvehicles Refrigeration performance Optimization research
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