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

Authors: Betül Sultan Yıldız

Addresses: Department of Electrical and Energy, Bursa Uludağ University, Görükle, 16059, Turkey

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.

Keywords: MPA; marine predators algorithm; electric vehicles; battery case; shape design optimisation; multi-verse optimisation algorithm; topology optimisation; vehicle design; structural optimisation; weight reduction; metaheuristics.

DOI: 10.1504/IJVD.2022.124866

International Journal of Vehicle Design, 2022 Vol.88 No.1, pp.1 - 11

Received: 29 Jan 2020
Accepted: 23 Jun 2020

Published online: 13 Aug 2022 *

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