Abstract: With the implementation of the " dual-carbon" strategy,the application of new energy electric trucks in openpit mines has become more and more extensive under the background of green mine construction. In order to improve truck transportation efficiency and reduce mine production costs,a multi-objective scheduling optimization model for open-pit mine new energy electric trucks based on carbon emission costs is constructed by comprehensively considering various influencing factors such as battery power,truck shovel production capacity and ore grade,from the perspective of truck carbon emission costs and mine production indicators. The Non-Dominated Neighborhood Immune Algorithm ( NNIA) is adopted to solve the model. Through the simulation analysis of the production data of a domestic open-pit mine,it is found that the scheduling plan obtained by the established multi-objective optimization model increased the equipment utilization efficiency by 9. 5% and increased the ore transportation volume by 11. 29%. Besides that,it effectively reduces the cost of carbon emissions caused by electricity consumption.