摘要
有限的能源供应限制了水下剖面平台对于海洋的探究。海洋温差能作为清洁能源,为剖面平台能源供给提供了有效解决方案。设计了基于相变材料(PCM)的海洋温差能发电系统,为水下剖面平台供能,并提出了一种基于负载匹配的新型温差能发电效率跟踪方法。该跟踪方法以数据驱动原理为基础,建立数据模型,通过PID算法进行负载控制,达到高效温差发电的目的。实验结果表明:在装载10%体积变化率的10 kg PCM条件下,单次剖面发电量达到1.88 Wh,此时,发电效率为45.4%,负载控制跟随压力变化时,误差比在10%以内。该跟踪方法可以嵌入通用微处理芯片,为水下剖面平台的海洋新能源开发提供新思路,便于研发轻便、泛用性强的海洋温差发电剖面平台。
Limited energy supply restricts the exploration of the ocean by underwater profiling platforms.As a clean energy,ocean temperature difference energy provides an effective solution for the energy supply of the profiling platforms.A phase change material(PCM)-based ocean temperature difference energy power generation system is designed to supply power to underwater profiling platforms,and a new temprature difference energy power generation efficiency tracking method based on load matching is proposed.This tracking method establishes a data model based on the data-driven principle,implements load control through the PID algorithm,and ultimately achieves the goal of highly efficient temperature difference power generation.Experimental results show that under the condition of loading 10 kg PCM with a volume change rate of 10%,the power generation capacity reaches 1.88 Wh per single profile.At this time,the power generation efficiency is 45.4%.When the load control follows the pressure change,the error ratio is within 10%.This tracking method can be implemented by embedding a general-purpose microprocessor chip,providing new ideas for the development of marine new energy for underwater profiling platforms,and facilitating the development of lightweight,versatile ocean temperature difference power generation profiling platforms.
作者
钱意祯
张宇
徐佳毅
刘烨昊
李醒飞
QIAN Yizhen;ZHANG Yu;XU Jiayi;LIU Yehao;LI Xingfei(State Key Laboratory of Precision Measurement Technology and Instruments,Tianjin University,Tianjin 300000,China)
出处
《传感器与微系统》
北大核心
2026年第4期101-106,共6页
Transducer and Microsystem Technologies
基金
国家重点研发计划项目(2022YFF0607505)
山东省自然科学基金面上项目(ZR2022MF336)。
关键词
负载匹配
效率跟踪
温差发电
数据驱动
load matching
efficiency tracking
temperature difference power generation
data-driven
