Abstract: The sub-network coupling in the fields of highway, energy, information and society supports the hybrid driving of new energy, fossil energy and other connected vehicle clusters under the driving condition with or without driver intervention. To reduce the energy consumption of hybrid vehicle clusters, it is urgent to solve the problems such as the difficulty of unified multi-energy modeling of fuel, electric and hydrogen vehicle clusters, the unknown particularity of dynamic evolution of cluster coupling highway, and the lack of research on optimal energy consumption leader-following control. Therefore, a leader-follower control strategy for optimal energy consumption of highway energy community under multiple conditions based on a unified multi-energy consumption model is proposed herein. First, considering the interconnection of multi-dimensional elements such as "people, vehicles, networks, cloud and terminals", and on the basis of the concepts of vehicle self-organization and highway energy community, considering the particularity of highway energy community coupling highway trunk, the leader-follower control mechanism of optimal energy consumption under multiple conditions in highway energy community is described. Secondly, based on graph theory, the leader-follower control model of dynamic evolution of highway energy community and the unified multi-energy consumption model based on energy prices such as gasoline, electricity and hydrogen are established. Finally, taking into account driver intervention or lack of it, two leader-follower control strategies for optimal energy consumption of highway energy community under different conditions based on a unified multi-energy consumption model are proposed. Simulation results under different conditions verify the effectiveness of the proposed two optimal energy leader-follower control strategies based on the unified multi-energy consumption model. It provides theoretical guidance for controlling the optimal energy consumption state of highway energy community scientifically and reasonably.