Abstract: Summarized the models, quantities, and driving control technologies of auxiliary transportation vehicles powered by lithium-ion batteries in the Shendong mining area; The main measures for electrification of auxiliary transportation vehicles are to increase the capacity of individual batteries, build intelligent charging and swapping chambers in coal mines, and establish passive charging systems for electric vehicles; The energy consumption cost of explosion-proof electric auxiliary transportation vehicles per 100 kilometers is only 6.5% of that of diesel vehicles of the same type. The modules in the architecture of the auxiliary transportation vehicle management system are discussed, including mine map, vehicle management, mileage statistics, driver management, equipment management, safety management, system management, etc. Based on the positioning system for underground personnel and vehicles, the underground 4G or 5G network and tunnel base station are used to transmit to each mine ground dispatch room, and transmitted to the big data center through optical fiber, achieving digital vehicle supervision and making vehicle use and dispatch more convenient. Analyzed intelligent technologies such as on-board auxiliary safety driving system, start warning system, intelligent induction automatic shutdown device, neutral start protection device, wireless line of sight remote control for auxiliary transportation vehicles; Using LiDAR and camera to scan and model the roadway, providing a "map" for unmanned vehicles, and using millimeter wave radar technology and machine vision technology to achieve precise positioning of auxiliary transportation vehicles underground, achieving the normalized operation ability of unmanned driving. The electrification, digital supervision, and intelligence of Shendong auxiliary transportation vehicles have greatly improved the safety and efficiency of auxiliary transportation. The next step is to couple and design the auxiliary transportation vehicle information with comprehensive mining information, excavation information, personnel information, production indicators, safety information, etc. to form an integrated control platform and improve the level of intelligent construction in coal mines.