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A Particle Swarm Optimized Multi-Model Framework for Remaining Useful Life Prediction of Lithium-Ion Batteries Using Domain-Driven Feature Engineering.

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Title: A Particle Swarm Optimized Multi-Model Framework for Remaining Useful Life Prediction of Lithium-Ion Batteries Using Domain-Driven Feature Engineering.
Authors: Hafeez, Farrukh1, Arfeen, Zeeshan Ahmad2, Ali, Gohar3, Masud, Muhammad I.4, Hamid, Muhammad5, Aman, Mohammed6, Saeed, Muhammad Salman7, Jumani, Touqeer Ahmed8
Source: World Electric Vehicle Journal; Nov2025, Vol. 16 Issue 11, p639, 21p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189683079
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Particle Swarm Optimized Multi-Model Framework for Remaining Useful Life Prediction of Lithium-Ion Batteries Using Domain-Driven Feature Engineering.
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  Data: <searchLink fieldCode="AU" term="%22Hafeez%2C+Farrukh%22">Hafeez, Farrukh</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Arfeen%2C+Zeeshan+Ahmad%22">Arfeen, Zeeshan Ahmad</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Ali%2C+Gohar%22">Ali, Gohar</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Masud%2C+Muhammad+I%2E%22">Masud, Muhammad I.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Hamid%2C+Muhammad%22">Hamid, Muhammad</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AU" term="%22Aman%2C+Mohammed%22">Aman, Mohammed</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AU" term="%22Saeed%2C+Muhammad+Salman%22">Saeed, Muhammad Salman</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AU" term="%22Jumani%2C+Touqeer+Ahmed%22">Jumani, Touqeer Ahmed</searchLink><relatesTo>8</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22World+Electric+Vehicle+Journal%22">World Electric Vehicle Journal</searchLink>; Nov2025, Vol. 16 Issue 11, p639, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189683079
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        Value: 10.3390/wevj16110639
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        Text: English
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        PageCount: 21
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      – TitleFull: A Particle Swarm Optimized Multi-Model Framework for Remaining Useful Life Prediction of Lithium-Ion Batteries Using Domain-Driven Feature Engineering.
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              Text: Nov2025
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