The　exponential　growth　in　hydrogen　energy　vehicles　is　anticipated　to　have　a　substantial　impact　on　the　operating　state　of　power-traffic　coupled　networks.　How　to　implement　a　hydrogen　energy　pricing　strategy　that　effectively　accounts　for　user　behaviors　and　to　guide　them　hold　great　significance　for　collaborative　scheduling　and　interactions　within　these　networks.　In　light　of　this,　this　paper　proposes　a　pricing　strategy　model　for　coupled　networks　that　takes　into　account　user　behaviors　for　hydrogen　energy　vehicles.　Firstly,　a　traffic　user　equilibrium　model,　addressing　energy　constraints　through　variational　inequalities　(VIs),　is　initially　established,　followed　by　the　introduction　of　a　second-order　cone　program　for　the　distribution　network＇s　hydrogen　demands.　Subsequently,　a　novel　hydrogen　pricing　model　is　put　forward,　reformulated　into　a　mathematical　programming　problem　utilizing　VIs,　and　solved　using　a　second-order　fixed　point　iteration　algorithm　that　leverages　the　projection-contraction　method.　Based　on　the　aforementioned,　a　hydrogen　pricing　model　is　proposed　and　recast　into　a　corresponding　mathematical　programming　problem　with　VIs.　To　address　this　problem,　a　second-order　fixed　point　iteration　algorithm　is　designed　by　incorporating　the　projection-contraction　algorithm.　The　efficacy　of　the　model　and　approach　is　confirmed　through　case　studies,　highlighting　the　critical　role　of　energy　constraints　in　the　development　of　hydrogen　pricing　strategies　within　such　networks.　©2025　Chin.Soc.for　Elec.Eng.