Bayesian Algorithm Matching Analysis of Battery Charging Pile and Battery Charging Cable of Battery Vehicle

The matching analysis of battery charging piles and battery charging cables of battery car rooted in particle swarm algorithm has the matching problem of battery charging piles and battery charging cables, which is of great significance for improving battery charging efficiency, alleviating battery charging pressure and improving user experience. Rooted in Bayesian algorithm, this paper deeply studies the matching analysis of battery charging piles and battery charging cables for battery car. The results show that the matching analysis method rooted in Bayesian algorithm can quickly and accurately determine the suitable combination of battery charging cable and battery charging pile, so as to improve battery charging efficiency, reduce user waiting time and battery charging difficulty. In addition, due to the flexibility and adaptability of Bayesian algorithm, the method can also be dynamically adjusted according to different user needs and environmental changes to further improve the battery charging experience. Therefore, the research results of the paper provide strong support for the optimization and intelligence of battery car charging facilities.