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作 者:张钦国 徐梁飞[1] 李建秋[1] 马会明 ZHANG Qin-guo;XU Liang-fei;LI Jian-qiu;MA Hui-ming(Department of Automotive Engineering, State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China;Lovol Heavy Industries Company Limited Agricultural Equipment Division, Shandong Weifang 261200, China)
机构地区:[1]清华大学汽车安全与节能国家重点实验室,北京100084 [2]雷沃重工股份有限公司农业装备事业部,山东潍坊261200
出 处:《机械设计与制造》2018年第A01期1-5,共5页Machinery Design & Manufacture
基 金:国家自然科学基金项目(51576113);清华大学汽车安全与节能国家重点实验室项目(zz2016-041)
摘 要:为了分析冷启动过程中质子交换膜燃料电池发动机的空气加热系统的工作性能,采用ε-NTU方法和CFD仿真技术得到了双流程换热器内部的温度分布,研究了冷却液温度和流量对整体散热器的换热性能的影响。通过比较发现模拟值与测试数据的误差小于10%,表明仿真模型和采用多孔介质模型的研究方法的可行性。根据仿真结果,采用遗传算法得到了该系统采用的铝制散热器的冷却液的最优参数组合,研究结果为优化空气预热系统,提高散热器的冷却效率提供了指导。In order to analyze the working performance of the air heating system of the proton exchange membrane fuel cell engine during the cold start process, the inside temperature distribution of the dual flow heat exchanger was obtained by ε- NTU method and CFD simulation technique. And the effect of coolant temperature and flow on the heat transfer performance of the whole radiator was studied. By comparison, it is found that the error between the simulated value and the test data is less than 10%, which shows the feasibility of the simulation model and the research method based on the porous media model. According to the simulation results, the optimal parameters of the aluminum radiator using genetic algorithm are obtained. The results provide guidance for optimizing the air preheating system and improving the cooling efficiency of the radiator.
分 类 号:TH16[机械工程—机械制造及自动化] U415.52[交通运输工程—道路与铁道工程]
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