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Comprehensive optimization and design of an electric vehicle battery box side profile for lightweight and crashworthiness using a novel hybrid structure

dc.contributor.authorArslan, Muhammet
dc.contributor.authorKaramangil, Mehmet İhsan
dc.contributor.buuauthorArslan, Muhammet
dc.contributor.buuauthorKARAMANGİL, MEHMET İHSAN
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentMakine Mühendisliği Bölümü
dc.contributor.orcid0009-0009-8048-4685
dc.contributor.researcheridAAH-8619-2019
dc.contributor.researcheridOAG-4209-2025
dc.date.accessioned2025-10-21T09:12:39Z
dc.date.issued2025-02-01
dc.description.abstractLightweighting is a critical focus in the transportation sector, directly enhancing efficiency and significantly reducing costs. In electric vehicle (EV) design, the body surrounding the battery must effectively absorb impact, especially during crashes. This study aims to improve the crash performance of the side profiles in the battery box of an M1 category vehicle. It is based on the crash test in Annex 8D of the ECE R100 regulation. In this study, the safe displacement at which the battery will not deform is set as 20 mm, and the maximum force and energy absorption at this displacement are compared. In total, 33 different electric and hybrid vehicle models were benchmarked in this study. L-shaped geometry and aluminum materials are generally preferred; this study focuses on using glass-fiber-reinforced polymer (GFRP) pultruded profiles to make batteries more durable and lighter. The GF800 material was selected for its superior mechanical strength among glass fiber composites. A virtual tensile test verified its properties. A unique hybrid model combining honeycomb and auxetic geometries was developed, showing a crash performance improvement of similar to 360% over honeycomb structures and similar to 88% over auxetic structures. Through multi-objective optimization using artificial neural networks (ANNs), 27 models were analyzed, leading to an optimized design. The final design resulted in the battery box side profile being 23.9% lighter and 38.6% cheaper, and exhibiting a performance 3% higher. This study demonstrates significant advancements in EV safety and cost efficiency, highlighting the practical benefits of innovative material and design approaches.
dc.identifier.doi10.3390/app15042037
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85218629627
dc.identifier.urihttps://doi.org/10.3390/app15042037
dc.identifier.urihttps://hdl.handle.net/11452/55909
dc.identifier.volume15
dc.identifier.wos001430615900001
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherMdpi
dc.relation.journalApplied sciences-basel
dc.subjectPultrision
dc.subjectBehaviors
dc.subjectSisal
dc.subjectHybrid structure
dc.subjectMulti-objective optimization
dc.subjectGlass-fiber-reinforced polymer (GFRP)
dc.subjectBattery box
dc.subjectCrashworthiness
dc.subjectPultrusion
dc.subjectScience & technology
dc.subjectPhysical sciences
dc.subjectTechnology
dc.subjectChemistry, multidisciplinary
dc.subjectEngineering, multidisciplinary
dc.subjectMaterials science, multidisciplinary
dc.subjectPhysics, applied
dc.subjectChemistry
dc.subjectEngineering
dc.subjectMaterials science
dc.subjectPhysics
dc.titleComprehensive optimization and design of an electric vehicle battery box side profile for lightweight and crashworthiness using a novel hybrid structure
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Makine Mühendisliği Bölümü
local.indexed.atWOS
local.indexed.atScopus
relation.isAuthorOfPublication28dc729c-b0e6-44bb-b6e7-3e4cc105d73d
relation.isAuthorOfPublication.latestForDiscovery28dc729c-b0e6-44bb-b6e7-3e4cc105d73d

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