Abstract: Pure electric mining trucks have the characteristics of low carbon emissions and braking en⁃ ergy recovery. In recent years，they have been widely used in open-pit mining operations. Due to the complex driving conditions of the electric mining truck，it is easy to have problems such as large energy consumption difference and insufficient endurance. Therefore，the study of the key factors affecting the energy consump⁃ tion of electric mining truck during driving provides reasonable energy-saving suggestions for drivers. The actual driving data acquisition work is carried out for the active pure electric mining truck fleet. Through the Spearman correlation analysis，the Spearman correlation heat map is drawn to screen the main factors affect⁃ ing energy consumption and eliminate the factors with low correlation. The main influencing factors include the output torque of the drive motor，the opening of the electric door，the slope，the air temperature and the load. Through the energy flow analysis of the electric mining truck，the economy of the electric mining truck is evaluated based on the driving behavior and road conditions.According to the acceleration and braking pro⁃ cess，the influence of driving behavior on vehicle energy consumption is studied，and the influence of road conditions on energy consumption is analyzed from the slope. Based on Cruise，the whole vehicle model of electric mining truck is built，and the energy consumption of different gradient and load states is simulated and analyzed respectively. According to the results of energy consumption analysis，energy-saving sugges⁃ tions are provided to drivers. The results show that for the electric mining truck used in the study，when the gradient is 7% and the load state is no-load uphill-full load downhill，the energy consumption of the electric mining truck is the lowest. The driver adopts a gentle acceleration method to increase the proportion of motor braking and reduce the number of start-stops，which can effectively reduce energy consumption.

Key words: pure electric mining truck, data acquisition, energy consumption analysis, gradient, load state