Optimal Configuration of Expressway Charging Piles and Vehicle Charging Guidance Technology Based on Genetic Algorithm

With the intensification of urbanization and environmental problems, it is a consensus that new energy vehicles will replace fuel vehicles, but the development of their charging facilities is lagging, and the short battery life and uncoordinated charging facilities lead to "mileage anxiety" on expressways. The existing DC charging piles of expressways in China are difficult to meet the demand due to the problems of large load and uneven distribution. Based on the analysis of traffic flow and charging behavior of electric vehicles, this study constructs a short-term traffic flow and charging demand forecasting model that integrates the attention mechanism LSTM, and establishes a charging pile configuration model with optimal operating cost and a charging guidance model with optimal travel time under multi-constraint conditions by combining genetic algorithm. The research findings are of great significance for improving pricing convenience, promoting industrial development, and protecting the ecological environment.