Real-Time Optimization of Energy Management Strategy for Fuel Cell Vehicles Using Inflated 3D Inception Long Short-Term Memory Network-Based Speed Prediction

The performance of speed prediction-based energy management strategy (EMS) for fuel cell vehicles (FCVs) highly relies on the accuracy of predicted speed sequences. Therefore, the future speed sequences are estimated by Inflated 3D Inception long short-term memory (LSTM) network, which can use the h...

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Veröffentlicht in:IEEE transactions on vehicular technology Jg. 70; H. 2; S. 1190 - 1199
Hauptverfasser: Zhang, Caizhi, Zhang, Yuanzhi, Huang, Zhiyu, Lv, Chen, Hao, Dong, Liang, Chen, Deng, Chenghao, Chen, Jinrui
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.02.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0018-9545, 1939-9359
Online-Zugang:Volltext
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