Machine Learning Lithium-Ion Battery Capacity Estimation

버전 1.0.1.2 (763 KB) 작성자: Wanbin Song
Machine learning based Lithium-Ion battery capacity estimation using multi-Channel charging Profiles

다운로드 수: 1.2K

업데이트 날짜: 2020/1/7

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In this script, I've implemented machine learning based Lithium-Ion battery capacity estimation using multi-Channel charging Profiles. Dataset used in this example is from "Battery data set" from NASA[1].
Basic implementation theory and approach is referenced by the recent published paper[2], and they proposed Multi-Channel charging profiles based machine learning and deep learning model for capacity estimation. Through this example, I will capture each approach described in paper.
[1] B. Saha and K. Goebel (2007). "Battery Data Set", NASA Ames Prognostics Data Repository (https://www.nasa.gov/intelligent-systems-division), NASA Ames Research Center, Moffett Field, CA
[2] Choi, Yohwan, et al. "Machine Learning-Based Lithium-Ion Battery Capacity Estimation Exploiting Multi-Channel Charging Profiles." IEEE Access 7 (2019): 75143-75152.

인용 양식

Wanbin Song (2022). Machine Learning Lithium-Ion Battery Capacity Estimation (https://github.com/wanbin-song/BatteryMachineLearning), GitHub. 검색됨 .

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