Predictive battery thermal management using quantile convolutional neural networks

Predictive battery thermal management using quantile convolutional neural networks

An improvement in energy efficiency of Battery Thermal Management Systems (BTMS) can increase range and reduce well-to-wheel emissions of Battery Electric Vehicles (BEV). In this work, the potential of a predictive BTMS using Quantile Convolutional Neural Networks (QCNN) was examined. The QCNN provi...

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Bibliographic Details
Main Authors: Andreas M. Billert, Stefan Erschen, Michael Frey, Frank Gauterin
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Transportation Engineering
Subjects:
Battery thermal management
Machine learning
Predictive control
Quantile convolutional neural networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2666691X22000483

Internet

http://www.sciencedirect.com/science/article/pii/S2666691X22000483

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