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MPC-Based Power Management for Energy Efficiency and Li-Ion Battery Degradation Mitigation in Off-Grid Hybrid Photovoltaic Inverters

2026Artigo científico Acesso aberto
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dc.contributor.authorGonschorowski, Ezequiel
dc.contributor.authorCardoso, Rafael
dc.contributor.authorCarvalho, Edivan Laercio
dc.contributor.authorStein, Carlos Marcelo De Oliveira
dc.contributor.authorCarati, Emerson Giovani
dc.contributor.authorDenardin, Gustavo Weber
dc.contributor.authorDa Costa, Jean Patric
dc.contributor.institutionFaculdade de Ciências e Tecnologia (FCT)
dc.contributor.pblInstitute of Electrical and Electronics Engineers (IEEE)
dc.date.accessioned2026-06-26T11:29:01Z
dc.date.available2026-06-26T11:29:01Z
dc.date.issued2026
dc.descriptionPublisher Copyright: © 2020 IEEE.
dc.description.abstractEfficient power management in Hybrid Energy Storage Systems (HESS) for off-grid PV inverters remains a challenge, particularly in terms of energy efficiency and battery degradation mitigation. In this context, this paper proposes a Model Predictive Control (MPC) based power management designed to mitigate Li-ion battery degradation while improving the overall system efficiency. To validate this proposal, extensive experimental results are presented. The proposed formulation aims to minimize battery stress by smoothing the current profile and reducing cycling effects. The performance of the MPC power management is verified through a comparative experimental analysis of four distinct strategies: rule-based, frequencyfiltering, a benchmark MPC, and the proposed MPC. Evaluation is based on four key metrics: RMS current, total power losses, Equivalent Full Cycles (EFC), and State of Health variation (SOH). Experimental results demonstrate that the proposed method outperforms the compared strategies across all evaluated criteria, significantly reducing battery stress in terms of cycling and current distribution. Furthermore, long-term simulations corroborate these findings, showing a substantial reduction in battery degradation compared to other established methods. These results confirm that the proposed method, provides a robust solution for mitigating battery degradation in hybrid inverter applications.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent17
dc.format.extent7121233
dc.identifier.doi10.1109/OJPEL.2026.3665487
dc.identifier.issn2644-1314
dc.identifier.otherPURE: 165959188
dc.identifier.otherPURE UUID: e90f121c-2de8-427e-8637-90e4a4decc14
dc.identifier.otherScopus: 105030719405
dc.identifier.otherWOS: 001706344600003
dc.identifier.otherPubMed: 25079929
dc.identifier.otherPubMedCentral: PMC4120374
dc.identifier.urihttp://hdl.handle.net/10362/204105
dc.identifier.urlhttps://www.scopus.com/pages/publications/105030719405
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001706344600003
dc.language.isoeng
dc.peerreviewedyes
dc.subjectHybrid energy storage system
dc.subjectLi-ion battery
dc.subjectOff-grid photovoltaic hybrid inverter
dc.subjectSupercapacitor
dc.subjectElectrical and Electronic Engineering
dc.subjectSDG 7 - Affordable and Clean Energy
dc.titleMPC-Based Power Management for Energy Efficiency and Li-Ion Battery Degradation Mitigation in Off-Grid Hybrid Photovoltaic Invertersen
dc.typejournal article
degois.publication.firstPage759
degois.publication.lastPage775
degois.publication.titleIEEE Open Journal of Power Electronics
degois.publication.volume7
dspace.entity.typePublication
rcaap.rightsopenAccess

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