摘要
热电发电机(thermoelectric generator,TEG)以无运动部件、无噪音等诸多优点已成为废热回收领域研究热点。然而,传统三明治构型热电模块热电腿端面和冷热源之间存在较大热阻,严重损害了TEG输出性能;当TEG用于汽车尾气废热回收时,陶瓷板高密度和大用量加剧了其寄生损耗。针对上述问题,提出一种内流道热电模块构型,旨在提升TEG输出功率、降低寄生损耗。通过COMSOL Multiphysics对单个热电单元发电进行仿真计算,分析了热电腿宽度、高度及PTFE基板高度等因素对热电性能的影响。经过优化的热电单元输出功率和功率密度分别达到了171.12 mW和8.42 W/cm^(3),与传统结构相比,分别提升了173.02%和248.13%。研究结果对提升TEG输出性能和汽车燃油经济性具有一定的参考意义。
Thermoelectric generators(TEGs)have become a research hotspot in the field of waste heat recovery due to their many advantages such as no moving parts and no noise.However,there is a large thermal resistance between the end face of the thermoelectric leg and the cold and heat source of the traditional sandwich thermoelectric module,which seriously impairs the output performance of the TEG.When TEG is used for automobile exhaust waste heat recovery,the high density and large amount of ceramic plates also significantly aggravate its parasitic loss.In order to solve the above problems,an internal channel thermoelectric module configuration was proposed,which aims to increase the output power of TEG and reduce the parasitic loss.COMSOL Multiphysics was used to simulate the thermoelectric performance of a single thermoelectric unit,and the influence of factors such as the width and height of the thermoelectric leg and the height of the PTFE substrate on the thermoelectric performance was analyzed in detail.The optimized output power and power density of the thermoelectric unit reach 171.12 mW and 8.42 W/cm^(3),respectively,which are 173.02%and 248.13%higher than the traditional structure.The research results have certain reference significance for improving the TEG output performance and automobile fuel economy.
作者
刘显茜
谭波
刘禹
韩以强
LIU Xianxi;TAN Bo;LIU Yu;HAN Yiqiang(Kunming University of Science and Technology,Kunming 650504,China)
出处
《兵器装备工程学报》
北大核心
2026年第1期87-95,共9页
Journal of Ordnance Equipment Engineering
基金
国家自然科学基金项目(51566006)。
关键词
热电性能
废热回收
内流道温差发电机
参数优化
多物理场耦合
thermoelectric properties
waste heat recovery
inner runner thermoelectric generators
parameter optimization
multiphysics coupling
