Publication: Marine predators algorithm and multi-verse optimisation algorithm for optimal battery case design of electric vehicles
dc.contributor.author | Yıldız, Betül Sultan | |
dc.contributor.buuauthor | YILDIZ, BETÜL SULTAN | |
dc.contributor.department | Meslek Yüksek Okulu | |
dc.contributor.department | Elektrik ve Enerji Bölümü | |
dc.contributor.orcid | 0000-0002-7493-2068 | |
dc.contributor.scopusid | 57094682600 | |
dc.date.accessioned | 2025-05-13T06:42:17Z | |
dc.date.issued | 2022-01-01 | |
dc.description.abstract | This paper focuses on the optimum design of a battery case of an electric racing car. Two recently developed metaheuristics, which are marine predators algorithm (MPA) and the multi-verse optimisation (MVO) algorithm, are used to create an optimal design where the mass is considered as an objective function, and the geometric dimensions of the component is considered to be design variables. The kriging surrogate modelling is used to obtain the proxy model to increase the efficiency of the optimisation. The results show the robustness of the MPA in the optimum design of the electric car components. The MPA can be used in other product development processes. | |
dc.identifier.doi | 10.1504/ijvd.2022.124866 | |
dc.identifier.endpage | 11 | |
dc.identifier.issn | 0143-3369 | |
dc.identifier.issue | 1 | |
dc.identifier.scopus | 2-s2.0-85138090033 | |
dc.identifier.startpage | 1 | |
dc.identifier.uri | https://hdl.handle.net/11452/51758 | |
dc.identifier.volume | 88 | |
dc.indexed.scopus | Scopus | |
dc.language.iso | en | |
dc.publisher | Inderscience Publishers | |
dc.relation.journal | International Journal of Vehicle Design | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | Weight reduction | |
dc.subject | Vehicle design | |
dc.subject | Topology optimisation | |
dc.subject | Structural optimisation | |
dc.subject | Shape design optimisation | |
dc.subject | Multi-verse optimisation algorithm | |
dc.subject | MPA | |
dc.subject | Metaheuristics | |
dc.subject | Marine predators algorithm | |
dc.subject | Electric vehicles | |
dc.subject | Battery case | |
dc.subject.scopus | Genetic Algorithm; Automotives; Particle Swarm Optimization | |
dc.title | Marine predators algorithm and multi-verse optimisation algorithm for optimal battery case design of electric vehicles | |
dc.type | Article | |
dspace.entity.type | Publication | |
local.contributor.department | Meslek Yüksek Okulu/Elektrik ve Enerji Bölümü | |
relation.isAuthorOfPublication | e544f464-5e4a-4fb5-a77a-957577c981c6 | |
relation.isAuthorOfPublication.latestForDiscovery | e544f464-5e4a-4fb5-a77a-957577c981c6 |