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Learning-based Control for Hybrid Battery Management Systems

Mirwald, Jonas and de Castro, Ricardo and Brembeck, Jonathan and Ultsch, Johannes and Araujo, Rui Esteves (2021) Learning-based Control for Hybrid Battery Management Systems. In: Intelligent Control and Smart Energy Management: Renewable Resources and Transportation Springer Optimization and Its Applications (SOIA). Springer. (Submitted)

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Abstract

Battery packs of electric vehicles are prone to capacity, thermal, and aging imbalances in their cells, which limit power delivery to the vehicle. In this chapter, a hybrid battery management system (HBMS), capable of simultaneously equalizing battery capacity and temperature while enabling hybridization with supercapacitors, is investigated. We use model-free reinforcement learning to control the HBMS, where the control policy is obtained through direct interaction with the system’s model. Our approach exploits the soft actor-critic algorithm to handle continuous control actions and feedback states, and deep neural networks as function approximators. The validation of the proposed control method is performed through numerical simulations, making use of numerically efficient models of the energy storage and power converters developed in Modelica language.

Item URL in elib:https://elib.dlr.de/138938/
Document Type:Contribution to a Collection
Title:Learning-based Control for Hybrid Battery Management Systems
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Mirwald, JonasJonas.Mirwald (at) dlr.deUNSPECIFIED
de Castro, RicardoRicardo.DeCastro (at) dlr.deUNSPECIFIED
Brembeck, Jonathanjonathan.brembeck (at) dlr.deUNSPECIFIED
Ultsch, JohannesJohannes.Ultsch (at) dlr.deUNSPECIFIED
Araujo, Rui Estevesraraujo (at) fe.up.ptUNSPECIFIED
Date:2021
Journal or Publication Title:Intelligent Control and Smart Energy Management: Renewable Resources and Transportation
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Editors:
EditorsEmailEditor's ORCID iD
Pardalos, Panos M.University of FloridaUNSPECIFIED
Thai, My T.University of FloridaUNSPECIFIED
Du, Ding-ZhuUniversity of Texas at DallasUNSPECIFIED
Publisher:Springer
Series Name:Springer Optimization and Its Applications (SOIA)
Status:Submitted
Keywords:hybrid battery management system, battery management system, battery, supercapacitor, power converter, power conversion, reinforcement learning, model-free, soft actor-critic, neural network, equalize, capacity, temperature
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC Antriebssystem und Energiemanagement
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of System Dynamics and Control > Vehicle System Dynamics
Deposited By: Mirwald, Jonas
Deposited On:02 Dec 2020 14:31
Last Modified:14 Dec 2020 11:02

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