Please use this identifier to cite or link to this item:
Title: Battery thermal-and health-constrained energy management for hybrid electric bus based on soft actor-critic DRL algorithm
Authors: Wu, Jingda
Wei, Zhongbao
Li, Weihan
Wang, Yu
Li, Yunwei
Sauer, Dirk Uwe
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Wu, J., Wei, Z., Li, W., Wang, Y., Li, Y. & Sauer, D. U. (2020). Battery thermal-and health-constrained energy management for hybrid electric bus based on soft actor-critic DRL algorithm. IEEE Transactions On Industrial Informatics, 17(6), 3751-3761.
Journal: IEEE Transactions on Industrial Informatics
Abstract: Energy management is critical to reducing the size and operating cost of hybrid energy systems, so as to expedite on-the-move electric energy technologies. This article proposes a novel knowledge-based, multiphysics-constrained energy management strategy for hybrid electric buses, with an emphasized consciousness of both thermal safety and degradation of onboard lithium-ion battery (LIB) system. Particularly, a multiconstrained least costly formulation is proposed by augmenting the overtemperature penalty and multistress-driven degradation cost of LIB into the existing indicators. Further, a soft actor-critic deep reinforcement learning strategy is innovatively exploited to make an intelligent balance over conflicting objectives and virtually optimize the power allocation with accelerated iterative convergence. The proposed strategy is tested under different road missions to validate its superiority over existing methods in terms of the converging effort, as well as the enforcement of LIB thermal safety and the reduction of overall driving cost.
ISSN: 1551-3203
DOI: 10.1109/TII.2020.3014599
Schools: School of Electrical and Electronic Engineering 
Rights: © 2020 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

Citations 5

Updated on Jun 2, 2023

Web of ScienceTM
Citations 5

Updated on Jun 4, 2023

Page view(s)

Updated on Jun 6, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.