Cycle Life Prediction of Battery-Supercapacitor Hybrids Using Artificial Neural Networks

The cycle life of batteries and battery-supercapacitor hybrid systems was predicted using artificial neural networks. The presented techniques are able to predict the cycle life of a device based on a short (around 4% of the average cycle life) initial segment of the discharge curve. The prediction...

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Bibliographic Details
Main Authors: Weigert, Thomas J., Tian, Qifeng, Lian, Keryn K.
Format: Conference Proceeding
Language:English
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Summary:The cycle life of batteries and battery-supercapacitor hybrid systems was predicted using artificial neural networks. The presented techniques are able to predict the cycle life of a device based on a short (around 4% of the average cycle life) initial segment of the discharge curve. The prediction showed good performance with a correlation coefficient above 0.95. We were able to improve the predication further by considering ready measurements about the device and usage.
ISSN:1938-5862
1938-6737
DOI:10.1149/1.3492329