Long Short-Term Memory–Model Predictive Control Speed Prediction-Based Double Deep Q-Network Energy Management for Hybrid Electric Vehicle to Enhanced Fuel Economy

How to further improve the fuel economy and emission performance of hybrid vehicles through scientific and reasonable energy management strategies has become an urgent issue to be addressed at present. This paper proposes an energy management model based on speed prediction using Long Short-Term Mem...

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Bibliografische Detailangaben

Hauptverfasser:	Haichao Liu, Hongliang Wang, Miao Yu, Yaolin Wang, Yang Luo
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-04-01
Schriftenreihe:	Sensors
Schlagworte:	hybrid electric vehicle LSTM speed prediction DDQN MPC deep reinforcement learning
Online-Zugang:	https://www.mdpi.com/1424-8220/25/9/2784
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