With　the　increasing　popularization　and　competition　of　electric　vehicles　(EVs),　EV　users　often　have　anxiety　on　their　trip　to　find　better　charging　stations　with　less　travel　distance.　An　intelligent　charging　guidance　strategy　and　two　algorithms　were　proposed　to　alleviate　this　problem.　First,　based　on　the　next　destination　of　EV　users＇　trip,　the　strategy　established　a　dynamic-area　model　to　match　charging　stations　with　users＇　travel　demand　intelligently.　In　the　dynamic　area,　the　Dijkstra　algorithm　is　used　to　find　the　charging　station　with　the　shortest　trip.　Then,　the　area　extension　algorithm　and　the　charging　station　attribution　algorithm　were　developed　to　improve　the　robustness　of　the　dynamic　area.　The　two　algorithms　can　automatically　adjust　the　area　size　according　to　the　number　of　charging　stations　in　the　dynamic　area　to　reduce　the　number　of　nodes　traversed　by　the　Dijkstra　algorithm.　Finally,　simulation　examples　were　used　to　verify　the　effectiveness　of　the　proposed　model　and　algorithms.　The　results　showed　that　the　proposed　intelligent　charging　guidance　strategy　can　meet　the　travel　demand　of　users.　It　is　a　promising　technique　in　smart　cities　to　find　better　travel　trips　with　less　travel　distance　and　less　computed　time.