2results about How to "Estimate method is simple" patented technology

This invention relates to the field of automotive control methods, specifically to a method for estimating the driving range of a pure electric vehicle. The method comprises the following steps: S1, obtaining the real-time power consumption and remaining battery power of the vehicle's auxiliary components; S2, dividing the vehicle's historical mileage into short and long mileage segments according to a set distance, and calculating the average motor power consumption for the short and long mileage segments respectively; S3, calculating the current average motor power consumption based on the average motor power consumption for the short and long mileage segments and their respective weighting coefficients; S4, calculating the remaining driving range of the electric vehicle based on the current average motor power consumption, remaining battery power, and real-time power consumption of the auxiliary components. The method for estimating the driving range of a pure electric vehicle in this application is simple. By distinguishing between short and long mileage segments and calculating the average motor power consumption for each segment, the final driving range is calculated. This method considers the power consumption characteristics of the motor under different mileage segments, resulting in a more accurate calculation.

The invention relates to the technical field of rock mass structure prediction methods, in particular to a rock mass fracture parameter estimation method and system. The method includes: acquiring a rock fracture image; preprocessing the rock mass fracture image to obtain a preprocessed image; the preprocessed image is analyzed and calculated to obtain a dominant fracture density range and a fracture density range in any direction, and Monte Carlo simulation is adopted to analyze the dominant fracture density range and the fracture density range in any direction so as to estimate the density of rock mass fractures; normal distribution and logarithmic normal distribution fitting are carried out on the preprocessed image, and the inclination angle of the rock mass fracture is estimated based on the projection angle; and counting the fracture length of each group of fractures in the preprocessed image, and estimating the length of the rock mass fractures in the group based on the fractures with the fracture length greater than a set threshold value. The rock mass fracture image is analyzed based on the geometrical characteristics and the distribution rule of the fractures, and the density, the inclination angle and the length of the rock mass fractures can be accurately estimated.