Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction

IF 4.4 2区化学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY

ACS Applied Polymer Materials Pub Date : 2024-06-01 DOI:10.26599/bdma.2023.9020028

Andreas M. Billert, Runyao Yu, Stefan Erschen, Michael Frey, F. Gauterin

引用次数: 0

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用于电动汽车电池温度预测的改进型量化卷积和循环神经网络

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来源期刊

ACS Applied Polymer Materials Multiple-

CiteScore

7.20

自引率

6.00%

发文量

810

期刊介绍： ACS Applied Polymer Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics, and biology relevant to applications of polymers. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates fundamental knowledge in the areas of materials, engineering, physics, bioscience, polymer science and chemistry into important polymer applications. The journal is specifically interested in work that addresses relationships among structure, processing, morphology, chemistry, properties, and function as well as work that provide insights into mechanisms critical to the performance of the polymer for applications.