温差电池具有热能直接转换为电能、无机械振动、免维护等特点，是解决地下管网长期监测过程中电池容量有限、难以更换等问题的一种理想的自供电方式。目前，温差电池多由毒性大且稀缺的Te基材料组成，热电转换效率低且难以曲面贴合，无法满足地下管网广泛的应用需求，亟需开展新型高性能无Te柔性温差电池的研究。本项目提出一种基于低热导、高电导和高Seebeck系数的Ag2Se/MgAgSb柔性温差电池构建方案，围绕微观散射调控电-热输运机制、温差电池结构组成与性能之间的相互影响机制等关键科学问题，开展磁控溅射工艺优化柔性热电薄膜微观散射行为、Y型混合结构柔性温差电池性能优化以及环境适应性研究，突破化学计量偏析镀膜和大面积MEMS可控剥离等关键技术，获得高性能Ag2Se/MgAgSb柔性温差电池，实现地下管网自供电无线监测，为丰富热电输运理论及提升智慧管网监测管理能力奠定基础。

Thermoelectric batteries have the characteristics of direct conversion of thermal energy into electrical energy, no mechanical vibration, maintenance free, etc. It is an ideal self-powered way to solve the problems of limited capacity and difficult replacement for batteries during the long-term monitoring of underground pipeline network. At present, thermoelectric devices are mostly composed of toxic and scarce Te-based materials, low thermoelectric conversion efficiency and difficult to fit the curved surface, which can’t meet the extensive application needs of underground pipeline network. Therefore, it is urgent to carry out research on new high-performance Te-free flexible thermoelectric batteries. This project proposes a scheme of flexible thermoelectric battery based on Ag2Se/MgAgSb with low thermal conductivity, high conductivity and high Seebeck coefficient, focusing on the key scientific problems in electrical and thermal transport mechanism regulated by microscopic scattering, interaction mechanism between structure composition of thermoelectric battery and its performance, to carry out research on the magnetron sputtering process to optimize the microscopic scattering behavior of flexible thermoelectric films, Y type hybrid structure flexible thermoelectric devices performance optimization and environmental adaptability, to breakthrough key technologies of the stoichiometric segregation coating and large area of MEMS controllable stripping, to obtain Te-free flexible thermoelectric battery with high performance, to achieve self-powered wireless monitoring of underground pipeline network, laying the foundation for enriching thermoelectric transport theory and improving the monitoring and management ability of intelligent pipeline network.