Reinforcement Learning–Based Energy Management Strategy for a Hybrid Electric Tracked Vehicle

Reinforcement Learning–Based Energy Management Strategy for a Hybrid Electric Tracked Vehicle

This paper presents a reinforcement learning (RL)–based energy management strategy for a hybrid electric tracked vehicle. A control-oriented model of the powertrain and vehicle dynamics is first established. According to the sample information of the experimental driving schedule, statistical charac...

Full description

Bibliographic Details
Main Authors: Teng Liu, Yuan Zou, Dexing Liu, Fengchun Sun
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Energies
Subjects:
reinforcement learning (RL)
hybrid electric tracked vehicle (HETV)
Q-learning algorithm
Dyna algorithm
dynamic programming (DP)
stochastic dynamic programming (SDP)
Online Access:http://www.mdpi.com/1996-1073/8/7/7243

Internet

http://www.mdpi.com/1996-1073/8/7/7243

Similar Items