The　increasing　prevalence　of　electric　vehicles　(EVs)　has　intensified　the　coupling　between　power　distribution　networks　(PDNs)　and　transportation　networks　(TNs)　in　both　temporal　and　spatial　dimensions.　In　order　to　accurately　model　the　coupled　network,　this　paper　studies　the　dynamic　network　equilibrium　to　capture　the　temporally-dynamic　interactions　between　PDNs　and　TNs.　This　equilibrium　encapsulates　the　driver＇s　choices　of　route,　departure　time,　and　charging　location,　and　the　electricity　price.　In　the　TN,　a　dynamic　traffic　model　with　point　queues　is　proposed　to　describe　the　spatial　and　temporal　evolution　of　traffic　flows　that　is　congruent　with　established　user　equilibrium　choices.　In　particular,　the　queues　formed　at　charging　stations　are,　for　the　first　time,　modeled　by　a　point　queue.　In　the　PDN,　the　electricity　prices　are　accurately　determined　from　a　second-order　conic　program　with　a　guarantee　of　strong　duality.　After　theoretically　proving　the　existence　of　an　equilibrium　solution,　an　improved　fixed-point　algorithm　based　on　extrapolation　is　also　proposed　to　solve　the　equilibrium　problem　efficiently.　Numerical　results　show　that　the　dynamic　network　equilibrium　can　be　efficiently　solved　to　capture　the　temporally　variant　nature　of　traffic　flows,　queues,　and　electricity　prices.