Battery-Involved Energy Management for Hybrid Electric Bus Based on Expert-Assistance Deep Deterministic Policy Gradient Algorithm

Energy management is an enabling technique to guarantee the reliability and economy of hybrid electric systems. This paper proposes a novel machine learning-based energy management strategy for a hybrid electric bus (HEB), with an emphasized consciousness of both thermal safety and degradation of th...

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Bibliographic Details
Published in:	IEEE transactions on vehicular technology Vol. 69; no. 11; pp. 12786 - 12796
Main Authors:	Wu, Jingda, Wei, Zhongbao, Liu, Kailong, Quan, Zhongyi, Li, Yunwei
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.11.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Batteries Battery health deep deterministic policy gradient Degradation Energy management expert assistance hybrid electric bus Hybrid systems Lithium-ion batteries Machine learning Optimization Product safety Rechargeable batteries Thermal degradation Thermal management thermal safety Traction motors
ISSN:	0018-9545, 1939-9359
Online Access:	Get full text
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