2020/11/25(三)【日本專家】二次鋰電池新型電化學評估法-取消開課

此課程因人數不足,確定不開課,已繳費學員將進行退費事宜。
日後有相關課程規畫並將再公告於TDMDA網站,謝謝您!(11/6更新)

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【主講人親筆】
With the hope that it will serve as basic information for promoting technology for ensuring battery safety, this lecture will explain the LIB characteristics in detailed in terms of battery reaction principles, constituent materials, and electrochemical characteristic-evaluation methods. The explanation and introduction are based on the characteristics of commercially available LIBs, which are expanding their market for mobile device applications, stationary energy storage, and in-vehicle applications. However, regarding LIB, there are some problems in the currently used evaluation method of battery characteristics and judgment method of its deterioration degree, and thus development of a new method is desired.

Therefore, in this seminar the methods using impedance method and pulse method, etc. from the basics will be thoroughly explained. Then new solutions to these problems will be introduced. The scientific rationality of the proposed evaluation method is judged from the error value of the simulation for the fitting between the measurement result and the response based on the evaluation model of the pseudo equivalent circuit of the battery reaction. The seminar also explains the effectiveness of the machine learning method algorithm, we invented, that uses pulse response and impedance characteristics as training samples to quantitatively estimate the battery deterioration state with high accuracy and at high speed (seconds). After the seminar, we answer the questions of the participants.


【習得知識】
Structure and reaction mechanism of LIB, Interpretation and understanding of charge/discharge characteristics, Hysteresis phenomenon of output potential, battery constituent materials and electrode reaction characteristics, Handling of impedance measurement spectrum, Relationship between current-pulse response and electrical equivalent-circuit parameters as evaluation factors, Understanding the battery performance-status, Diagnosis methods of battery state of health(SOH), Applicability of machine learning method to LIB SOH, Standard measurement method for battery reuse (?), Chemical additives for improving LIB characteristics, Some topics in battery research and development, etc.

【舉辦時間】2020年11月25日(三)09:30 -16:30(含中午1hr用餐及休息時間)
【舉辦地點】(1)雲端會議室:使用視訊會議軟體進入
                 (2)實體教室:工研院中興院區(新竹縣竹東鎮中興路四段195號)
【主辦單位】台灣平面顯示器材料與元件產業協會(TDMDA)
【講師簡介】日本業界專家/日本東京農工大教授、產總研退役之後,成立電池新事業(自動車用途的大型電池)以及開發電化學設備及相關材料/專門領域:鋰電池
【課程語言】日文解說.中文口譯.英文講義
【議程大綱】主辦單位得視情況保留變動講師、議程變更之權利

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【視訊課程說明】

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4. 因分點資源有限,建議同單位學員共用1分點(團報的學員,可在公司會議室中共同使用一台電腦與視訊設備進行課程)。

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【報名費用 】

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【報名方式】
採『線上報名』
報名網址:https://pse.is/v36h8 (需用Google瀏覽器開啟)
※如有公司無法使用以上網址報名,請洽詢聯絡窗口。

【繳費方式】
採『銀行匯款』或『ATM轉帳』
銀行名稱:台灣土地銀行工研院分行
銀行帳號:156-001-000-195
銀行代碼:005
戶 名:社團法人台灣平面顯示器材料與元件產業協會
<請e-mail您匯款帳號末五碼以確認繳費成功>

【聯絡資訊】
台灣平面顯示器材料與元件產業協會(TDMDA) www.tdmda.org.tw
Tel: 886-3-5916872 何小姐 e-mail:Email住址會使用灌水程式保護機制。你需要啟動Javascript才能觀看它 
Tel: 886-3-5912264 陳小姐 e-mail:Email住址會使用灌水程式保護機制。你需要啟動Javascript才能觀看它

活動屬性

活動開始日期 2020-11-25 09:30
活動結束日期 2020-11-25 16:30
報名截止日期 2020-11-19
報名費用 $6,000.00
位置 新竹縣

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