Design of peer-to-peer energy trading in transactive energy management for charge estimation of lithium-ion battery on hybrid electric vehicles

•The OML-SOCE is aimed for estimating an accurate capacity of SOC of Li-ion batteries on HEVs.•To develop optimal machine learning based SOC estimation (OML-SOCE) model for HEVs in TEM.•SSAE are optimally adjusted by the use of SSA in such a way that the prediction performance can be considerably im...

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Bibliographic Details
Published in:	Electric power systems research Vol. 207; p. 107845
Main Authors:	Annamalai, Subramanian, Mangaiyarkarasi, S.P., Rani, M.Santhosh, Ashokkumar, V., Gupta, Deepak, Rodrigues, Joel JPC
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.06.2022 Elsevier Science Ltd
Subjects:	Algorithms Batteries Battery management Coders Electric vehicles Energy efficiency Energy management Environmental management Estimating techniques Estimation Hybrid electric vehicles Lithium Lithium-ion batteries Machine learning Optimization Peer-to-peer energy trading Power consumption Power management Prediction models Rechargeable batteries SOC estimation State of charge Transactive energy management Energy efficiency SOC estimation Transactive energy management Battery management Machine learning Peer-to-peer energy trading
ISSN:	0378-7796, 1873-2046
Online Access:	Get full text
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