Reinforcement learning-based real-time intelligent energy management for hybrid electric vehicles in a model predictive control framework-Reference-Cited by-同舟云学术

Reinforcement learning-based real-time intelligent energy management for hybrid electric vehicles in a model predictive control framework

Published:2023-05 Issue: Volume:270 Page:126971
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Yang Ningkang,Ruan Shumin,Han Lijin^ORCID,Liu Hui,Guo Lingxiong,Xiang Changle

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference29 articles.

1. Reinforcement learning optimized look-ahead energy management of a parallel hybrid electric vehicle;Liu;IEEE ASME Trans Mechatron,2017

2. Multi-objective stochastic MPC-based system control architecture for plug-in hybrid electric buses;Li;IEEE Trans Ind Electron,2016

3. Energy management of a dual-mode power-split hybrid electric vehicle based on velocity prediction and nonlinear model predictive control;Xiang;Appl Energy,2017

4. Model predictive control for power management in a plug-in hybrid electric vehicle with a hybrid energy storage system;Zhang;Appl Energy,2017

5. A stochastic predictive energy management strategy for plug-in hybrid electric vehicles based on fast rolling optimization;Yang;IEEE Trans Ind Electron,2019

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