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레독스 흐름 전지의 SOC 예측을 위한 AI 기반의 재귀형 학습 모델
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김윤선 | - |
| dc.contributor.author | 전준현 | - |
| dc.contributor.author | 정대원 | - |
| dc.contributor.author | 조운 | - |
| dc.date.accessioned | 2025-09-09T09:01:32Z | - |
| dc.date.available | 2025-09-09T09:01:32Z | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/60768 | - |
| dc.title | 레독스 흐름 전지의 SOC 예측을 위한 AI 기반의 재귀형 학습 모델 | - |
| dc.title.alternative | AI-based Recursive training model for SOC prediction of Redox Flow batteries(RFBs) | - |
| dc.type | Patent | - |
| dc.publisher.location | 대한민국 | - |
| dc.contributor.assignee | 동국대학교산학협력단 | - |
| dc.date.application | 2019-12-05 | - |
| dc.date.registration | 2021-08-27 | - |
| dc.type.iprs | 특허 | - |
| dc.identifier.patentRegistrationNumber | 10-2297543 | - |
| dc.identifier.patentApplicationNumber | 10-2019-0160689 | - |
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Related Researcher
- Jeon, Joon Hyeon
- College of Engineering (Department of Electronics and Electrical Engineering)