Optimal Scheduling Strategy for Swapped Battery Station of Electric Vehicle by Human Felicity Algorithm

In recent days, the research has been focusing on designing intelligent battery swapping station (BSS) infrastructure which helps to refuel the battery within few minutes. BSS is considered as a practical means for avoiding the long charging time associated with the charging of vehicles at charging station. In this paper, an intelligent swapped battery station scheduling algorithm (ISBSS-Algorithm) is proposed, which may help to fulfill the charging process with the objective to minimize the total charging cost by maintaining the rental income optimum. The scheduling process has been performed for 24 hours, at 15 minutes interval. Using 2m-Point Estimation Method (PEM) the uncertain attributes have been tackled. It has been observed that proposed algorithm is burlier enough to provide consistent output. By clubbing Human Felicity Algorithm (HFA) optimization technique, the objective function has been minimized.