Development of a Data-Driven Method for Online Battery Remaining-Useful-Life Prediction
- Remaining-useful-life (RUL) prediction of Li-ion batteries is used to provide an early indication of the expected lifetime of the battery, thereby reducing the risk of failure and increasing safety. In this paper, a detailed method is presented to make long-term predictions for the RUL based on a combination of gated recurrent unit neural network (GRU NN) and soft-sensing method. Firstly, an indirect health indicator (HI) was extracted from the charging processes using a soft-sensing method that can accurately describe power degradation instead of capacity. Then, a GRU NN with a sliding window was applied to learn the long-term performance development. The method also uses a dropout and early stopping method to prevent overfitting. To build the models and validate the effectiveness of the proposed method, a real-world NASA battery data set with various battery measurements was used. The results show that the method can produce a long-term and accurate RUL prediction at each position of the degradation progression based on several historical battery data sets.
Author: | Sebastian Matthias Hell, Chong Dae Kim |
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URN: | urn:nbn:de:hbz:832-epub4-20639 |
DOI: | https://doi.org/10.3390/batteries8100192 |
ISSN: | 2313-0105 |
Parent Title (English): | Batteries |
Publisher: | MDPI |
Editor: | Claudio Gerbaldi |
Document Type: | Article |
Language: | English |
Date of first Publication: | 2022/10/18 |
Date of Publication (online): | 2022/11/07 |
GND-Keyword: | Lithium-Ionen-Akkumulator |
Tag: | gated recurrent unit neural network (GRU NN); lithium-ion batteries; real-world data; remaining-useful-life (RUL) |
Volume: | 8 |
Issue: | 10 |
Page Number: | 12 |
Institutes: | Anlagen, Energie- und Maschinensysteme (F09) / Fakultät 09 / Institut für Produktentwicklung und Konstruktionstechnik |
Dewey Decimal Classification: | 600 Technik, Medizin, angewandte Wissenschaften |
Open Access: | Open Access |
DeepGreen: | DeepGreen |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |