Optimizing the charging cost of a battery swapping station using the genetic algorithm

Abstract

The environment is the major concern of today’s world due to global warming; cities are getting more polluted day by day. To keep the environment clean and green, every vehicle manufacturer is thinking of making electric vehicles but charging EVs became a major issue for EV owners due to its range anxiety. In a busy schedule, even a fast charger takes up to 30-40 minutes to charge an EV which is much more as compared to battery swapping which takes only 3-4 minutes, which is analogous to refilling a conventional vehicle from petrol or diesel or gas in the gas station and it motivates to use more electric vehicles. Charging a battery during peak hours increases the load on the grid and also increases the cost. To reduce the charging cost, the concept of charging during off-peak hours is proposed in this paper using the genetic algorithm to minimize the overall cost of charging in a battery-swapping station.