Energy management system optimization based on an LSTM deep learning model using vehicle speed prediction

Energy management system optimization based on an LSTM deep learning model using vehicle speed prediction

The energy management of a Hybrid Electric Vehicle (HEV) is a global optimization problem, and its optimal solution inevitably entails knowing the entire mission profile. The exploitation of Vehicle-to-Everything (V2X) connectivity can pave the way for reliable short-term vehicle speed predictions....

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Bibliographic Details
Main Authors: Luca Pulvirenti, Luciano Rolando, Federico Millo
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Transportation Engineering
Subjects:
Hybrid Electric Vehicle
Energy management system
Vehicle connectivity
LSTM deep learning
Adaptive ECMS
Online Access:http://www.sciencedirect.com/science/article/pii/S2666691X23000015

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http://www.sciencedirect.com/science/article/pii/S2666691X23000015

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