Lifetime Prediction of Lithium Ion Batteries by Using the Heterogeneity of Graphite Anodes
2023 · ACS Energy Letters
저자
Minsoo Kim, Inwoo Kim, Jisub Kim, 최장욱 (Jang Wook Choi)
연구주제
Advanced Battery Technologies Research · Advancements in Battery Materials · Extraction and Separation Processes
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
지원 과제·AI 키워드로 잡을 근거가 없어 분류하지 않았다.
AI 연구 키워드·방법
battery lifetime prediction 흑연 음극 lithiation heterogeneity
키워드 (OpenAlex)
lithium-ion batteries graphite anode cycle life prediction electric vehicle batteries battery safety
초록
Lithium ion batteries for electric vehicles demand high-level monitoring of their safety and long-term cyclability. To this end, identifying defective cells at the postmanufacturing stage would be the most effective approach. Here, we introduce the lithiation heterogeneity as a key descriptor for inspecting and grading as-manufactured cylindrical cells. Specifically, the peak intensity of the differential voltage (DV) profile during charge provides a quantitative indication of the heterogeneity of lithium ion intercalation into graphite, in relation to the staging effect of the graphite anode. The degree of heterogeneity determined by the DV profile is closely correlated with the cycle life, implying that the heterogeneity analysis can serve as a useful tool for inspecting as-manufactured cells and predicting their cycle life at an early stage. Moreover, the ability to accurately grade a…
이 논문을 지원한 국가R&D 과제 (NTIS 성과)
| 연도 | 과제 | 부처 | 사업 | 수행기관 | NTIS 분류(1순위) |
|---|---|---|---|---|---|
| 2023 | 화공분야연구인력양성사업단 | 교육부 | 4단계두뇌한국21사업 | 서울대학 | – |
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Advanced Battery Technologies Research