Data-Driven Reinforcement Learning-Based Real-Time Energy Management System for Plug-In Hybrid Electric Vehicles

Research output: Contribution to journal › Article › peer-review

111 Scopus Citations

Original language	American English
Number of pages	8
Journal	Transportation Research Record
Volume	2572
DOIs	https://doi.org/10.3141/2572-01
State	Published - 2016

NLR Publication Number

@article{9019c0de97b24d09bc2d15d7c6f66203,

title = "Data-Driven Reinforcement Learning-Based Real-Time Energy Management System for Plug-In Hybrid Electric Vehicles",

keywords = "approximate dynamic programming, energy management system (EMS), plug-in hybrid electric vehicles (PHEV), reinforcement learning (RL)",

author = "Jeffrey Gonder and Xuewei Qi and Guoyuan Wu and Kanok Boriboonsomsin and Matthew. Barth",

year = "2016",

doi = "10.3141/2572-01",

language = "American English",

volume = "2572",

journal = "Transportation Research Record",

issn = "0361-1981",

publisher = "SAGE Publications Ltd",

}

TY - JOUR

T1 - Data-Driven Reinforcement Learning-Based Real-Time Energy Management System for Plug-In Hybrid Electric Vehicles

AU - Gonder, Jeffrey

AU - Qi, Xuewei

AU - Wu, Guoyuan

AU - Boriboonsomsin, Kanok

AU - Barth, Matthew.

PY - 2016

Y1 - 2016

KW - approximate dynamic programming

KW - energy management system (EMS)

KW - plug-in hybrid electric vehicles (PHEV)

KW - reinforcement learning (RL)

U2 - 10.3141/2572-01

DO - 10.3141/2572-01

M3 - Article

SN - 0361-1981

VL - 2572

JO - Transportation Research Record

JF - Transportation Research Record

ER -