A spatiotemporal charging recommendation strategy for electric vehicles considering grid connection mode differences

With the growing penetration of electric vehicles (EVs), there is an increasing demand for effective charging strategies to address range anxiety and charging challenges. This paper proposes a novel spatiotemporal charging recommendation strategy that considers grid connection mode differences, overcoming the limitations of conventional approaches that neglect temporal, spatial, and charging mode differences in EV charging behavior. First, this paper analyzes the passenger revenue and charging prices for each time period to determine the optimal charging time for EVs. Then, when the EV is in the recommended time period, the charging station (CS) is recommended with the goal of minimizing the overall cost by considering the time consumption, economic loss, and driving road impedance, and grid connection modes are recommended based on factors such as incentive price and battery loss after users arrive at the CS, guiding EVs to charge with the optimal grid connection mode. The effectiveness of the proposed strategy has been validated through simulations. The results demonstrate significant improvements in CS utilization balance, with individual EVs achieving up to 22.74 % reduction in charging costs and a 14.35 % decrease in overall EV costs, while simultaneously enhancing electric taxi operational revenue.