2026年机械学院

“新质装备前沿讲堂”

第三场




讲座主题

2026.3.20

Advanced SOFC Diagnostics at Beihang Hangzhou: From In-situ Thermal Mapping to AI-driven Soft-Sensing

讲座摘要

As the global energy landscape pivots toward carbon neutrality, High-Temperature Solid Oxide Fuel Cells (SOFCs) have emerged as a cornerstone technology, offering net electrical efficiencies of up to 65% and overall efficiencies reaching 90% in combined heat and power configurations. However, achieving long-term durability and peak performance remains a challenge due to the extreme thermo-mechanical stresses and the inherent complexity of monitoring internal states in harsh environments. Furthermore, the transition toward a hydrogen economy introduces fluctuating fuel qualities, such as H2/NG blends, that require precise, real-time control of fuel utilisation and oxygen-to-carbon ratios to prevent degradation like coking or fuel depletion.

This seminar presents a comprehensive evolution of monitoring technologies, spanning over two decades of research into bridging experimental excellence with computational precision. We explore a multi-scale diagnostic framework: from the monitoring of cell’s thermal behaviour to the deployment of patented hardware sensors and the latest advancements in AI-driven Soft-sensor diagnostics.

Part 1: In-situ Thermal Mapping (THERMONO沪ICP备16029818号-3): Conventional thermocouples often fail to capture internal temperature gradients. We present the MCTA sensor technology, which utilizes thin-film sputter deposition to provide high-resolution, real-time thermal data directly from the electrode surfaces during operation.

Part 2: Amperometric Hydrogen Purity Analysis: We introduce a novel sensing methodology that uses current output to quantify hydrogen concentration in H2/NG mixtures without interference from hydrocarbons, providing an economical and robust alternative to expensive chromatography.

Part 3: Soft-Sensor Based System Operation: To complement physical sensors, we explore the integration of Soft-sensors within SOFC systems. This approach combines physics-based energy balances with data-based Gaussian Process (GP)regression models. 

嘉宾介绍

Professor Jung-Sik Kim is an internationally renowned scientist and academic leader with over 25 years of expertise in micro/nano-fabrication, MEMS-based sensor design, and the thermal management of electrochemical energy systems. He currently serves as a Professor at Beihang University (Hangzhou), following a distinguished 12-year tenure as a Senior Lecturer at Loughborough University and a researcher then a Visiting Professor at Imperial College London.

Prof. Kim is the pioneer of THERMONO沪ICP备16029818号-3, a patented multi-junction thermal array technology for in-situ micro-thermal sensing in harsh environments, and the inventor of the SOFC-based amperometric hydrogen purity sensor (HySensor). His research bridges fundamental materials science with scalable industrial applications, evidenced by the founding of two spin-out companies in the UK and China and collaborations with global leaders such as Rolls-Royce and Hyundai Mobis.

讲座时间:2026/3/20

16:00 (GMT+08:00)

讲座地点:机械楼南高厅

主持人:孙东科


供稿 | 王   军

排版 | 冯祎卓

审核 | 孙东科