Optimal selection of sustainable battery supplier for battery swapping station based on Triangular fuzzy entropy -MULTIMOORA method

Abstract

As one of the important infrastructures for promoting electric vehicles (EVs), the battery swapping station (BSS) has been widely popularized at present due to its convenience and time saving. According to the service mode of BSS, we can find that the batteries of EVs are the core component and their prices account for approximately half of the total operation expenses of the BSS, which directly affect its operation and benefits. Therefore, this paper proposes a sustainable battery supplier selection framework for BSS based on MCDM (Multi-criteria decision making) technique. Firstly, two new criteria are put forward based on the consideration of different requirements between BSS and new energy vehicle manufacture. Then, the Triangular fuzzy numbers (TFNs) are utilized to deal with uncertainty and ambiguity in decision-making process. Afterwards, under the consideration of the relationship between criteria and logic importance, the Triangular fuzzy entropy weight method is applied to determine the criteria weights. Subsequently, the MULTIMOORA approach under the Triangular fuzzy environment is applied to rank alternatives. Finally, a case in Beijing, China with sensitivity analysis and comparative analysis are executed to prove the feasibility of the proposed approach. This paper provides a critical tool for investors to select the most appropriate battery supplier of BSS.