To　accurately　calculate　the　charging　demand　of　electric　vehicles　(EVs),　a　dynamic　charging　demand　model　of　EVs　on　highway　is　proposed,　which　considers　the　interaction　between　stations.　On　this　basis,　a　charging　station　layout　planning　model　is　constructed　to　minimize　the　investment　cost　of　charging　facilities　and　the　waiting　time　of　users　in　the　queue,　with　the　number　of　charging　stations　and　piles,　the　distance　between　stations,　and　the　charging　demand　of　users　as　constraints.　To　solve　the　model　quickly,　this　paper　establishes　a　set　of　candidate　sites　under　the　shortest　path　and　then　linearizes　the　distance　constraint　between　charging　stations　from　nonlinear　to　integer　linear　programming.　Moreover,　the　non-dominated　sorting　multi-objective　genetic　algorithm　Ⅱ　(NSGA-Ⅱ)　and　evidence　reasoning　are　adopted　to　solve　the　proposed　models.　Finally,　the　proposed　model　is　simulated　and　verified　in　the　actual　travel　data　of　the　Fujian　section　of　the　31-node　Shenhai　Expressway.　©　2025　Science　Press.　All　rights　reserved.