Real-Time Energy Management for Plug-in Hybrid Electric Vehicles via Incorporating Double-Delay Q-Learning and Model Prediction Control

Real-Time Energy Management for Plug-in Hybrid Electric Vehicles via Incorporating Double-Delay Q-Learning and Model Prediction Control

Plug-in hybrid electric vehicles (PHEVs) have been validated as a preferable solution to transportation due to its great advantages in fuel economy promotion, harmful emission reduction and mileage anxiety mitigation. While, designing an effective energy management strategy to allocate the power bet...

Descrición completa

Detalles Bibliográficos
Main Authors: Shiquan Shen, Shun Gao, Yonggang Liu, Yuanjian Zhang, Jiangwei Shen, Zheng Chen, Zhenzhen Lei
Formato: Artigo
Idioma:English
Publicado: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Model predictive control
double delayed Q-learning
energy management strategy (EMS)
convolutional neural network
velocity prediction
Acceso en liña:https://ieeexplore.ieee.org/document/9987509/

Internet

https://ieeexplore.ieee.org/document/9987509/

Títulos similares