Akademik Veri Yönetim Sistemi
INTERNATIONAL ASIAN CONGRESS ON CONTEMPORARY SCIENCES-V, Nakhchivan, Azerbaycan, 1 - 02 Haziran 2021, ss.174
The electric motor is one of the most important factors that determine the performance and dynamics of an electric vehicle. For this reason, one of the most critical stages in the design of an electric vehicle is the selection of the electric motor. There are many different alternatives for electric motor selection and many different parameters that affect performance. In this study, the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method, which is one of the multi-criteria decision-making methods, is used for the most suitable electric motor selection. In multi-criteria decision-making methods, the best alternative varies depending on the weighting of the parameters. In this study, the entropy method is used to specify the weightings of the parameters. Thus, the weightings are determined by the entropy method by removing their subjective judgments. Finally, with the weightings determined, the best electric motor selection for the concept electric vehicle is made with the TOPSIS method.