A decision support model for anode material selection in electric vehicle batteries using SAW–AHP

The substitution of fossil fuel-based propulsion with battery-operated vehicles, is evolving rapidly in order to ensure emission-free and sustainable transportation. However, there are certain persistence challenges that retard the growth of the EV market, and the researchers and industries are actively pursuing research and development of better battery technologies. Essential characteristics required for better battery performance are instant charging, driving range efficiency, operational reliability, while keeping the optimal running cost. Though the Li⁺ battery is better in many aspects, yet there are safety, sustainability and performance issues that are majorly determined by electrodes, for which material selection continues to be a critical concern in Li⁺ batteries. Therefore, an MCDM-based approach is proposed in this paper to find the best material for anode. A simple additive weighting in conjunction with analytic hierarchy process is proposed to prioritize the best anode material for Li⁺ battery. The method is useful for the original equipment manufacturers of battery and EVs in selecting better anode material for Li⁺ battery, to optimize the cost and performance of EVs.