Marine predators algorithm and multi-verse optimisation algorithm for optimal battery case design of electric vehicles

YILDIZ B. S.

INTERNATIONAL JOURNAL OF VEHICLE DESIGN, cilt.88, sa.1, ss.1-11, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 88 Sayı: 1
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1504/ijvd.2022.124866
  • Dergi Adı: INTERNATIONAL JOURNAL OF VEHICLE DESIGN
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aerospace Database, Business Source Elite, Business Source Premier, Communication Abstracts, INSPEC, Metadex, Pollution Abstracts, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1-11
  • Anahtar Kelimeler: MPA, marine predators algorithm, electric vehicles, battery case, shape design optimisation, multi-verse optimisation algorithm, topology optimisation, vehicle design, structural optimisation, weight reduction, metaheuristics, STRUCTURAL DESIGN, SYSTEM
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

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.