Construction and optimization of representative actual driving cycles based on the improved autoencoder

In this study, much work has been performed to accurately and efficiently develop representative actual driving cycles. Electric vehicle road tests were conducted and the associated data were gathered based on the manual driving method, and the Changsha Driving Cycle Construction (CS-DCC) method was...

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Veröffentlicht in:	Scientific reports Jg. 14; H. 1; S. 2351 - 16
Hauptverfasser:	Zhao, Zhichao, Sun, Xilei, Wang, Xun, Wang, Yi, Fu, Jianqin, Liu, Jingping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 29.01.2024 Nature Publishing Group Nature Portfolio
Schlagworte:	639/166/988 639/705/1046 639/705/117 Algorithms Artificial intelligence Automobile industry Construction Deep learning Dynamic programming Electric vehicles Energy consumption Energy efficiency Humanities and Social Sciences Markov analysis multidisciplinary Noise reduction Optimization Principal components analysis Science Science (multidisciplinary)
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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