【講座主題】使用圓周磁場(chǎng)的聚合物電解質(zhì)燃料電池內(nèi)部發(fā)電電流分布的非接觸測(cè)量方法

【講座時(shí)間】2022年03月05日    下午：13:30-14:30

【講座地點(diǎn)】Zoom ID: 820 9135 4664   Passcode: 618743

【主講人】Yuji Gotoh，副教授，日本大分大學(xué)創(chuàng)新工程系

【主講人簡(jiǎn)介】

Yuji Gotoh，日本大分大學(xué)創(chuàng)新工程系副教授，主要從事三次元電磁界解析、漏泄磁束、渦電流。發(fā)表學(xué)術(shù)著作70余篇，獲得日本AEM學(xué)會(huì)優(yōu)秀論文發(fā)表獎(jiǎng)，日本無(wú)損檢測(cè)協(xié)會(huì)學(xué)術(shù)鼓勵(lì)獎(jiǎng)，儀表與控制工程師學(xué)會(huì)蓮沼獎(jiǎng)。日本電氣工程師學(xué)會(huì)會(huì)員、日本無(wú)損檢測(cè)協(xié)會(huì)會(huì)員、日本AEM協(xié)會(huì)會(huì)員儀器與控制工程師學(xué)會(huì)會(huì)員。

【報(bào)告內(nèi)容簡(jiǎn)介】

In this resarch, the evaluation method of the distribution of the power generation current inside MEA using the distribution of static magnetic field around PEFC is proposed. The generated current distribution in the MEA is calculated by inverse problem analysis using Ampere's law from the distribution of the magnetic field around the fuel cell. The evolutionary strategy method is used by this inverse problem analysis. In addition, the current distribution estimation accuracy inside the MEA has been improved by using the weighting coefficient according to the distance between the magnetic sensor and each position in the MEA.