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.