Prediction and evaluation method and device for road surface resistance energy consumption influencing generation power of range extender, processor and computer readable storage medium thereof

Abstract

The invention relates to a prediction and evaluation method for the road surface resistance energy consumption influencing the generation power of a range extender. The resistance energy consumption of a vehicle caused by the ground of a to-be-driven region is predicted through analysis on collection points of the contour features of a road surface in front of the vehicle. The method specifically comprises the following steps: inputting road surface information, position information and auxiliary information related to a road surface; carrying out algorithm filtering through interference information and obstacle-free information; inputting road surface resistance energy consumption calibration information of the vehicle and information, related to vehicle movement, on the vehicle; calculating an energy consumption predicted value; correcting the energy consumption predicted value to obtain energy output data required by the range extender; and implementing control influence on the working mode of the range extender and the generated power. The invention further relates to a corresponding device for predicting and evaluating the road surface resistance energy consumption influencing the generated power of the range extender, a processor and a storage medium. By means of the road surface resistance energy consumption prediction and evaluation method and device influencing the generation power of the range extender, the processor and the computer readable storage medium, the power of the range extender can be adjusted in advance, the road surface condition of a new site can be rapidly adapted, and reasonable control over the generated power of the range extender is promoted.

Description

technical field [0001] The present invention relates to the field of range extender control strategies for range-extended mining vehicles, and specifically refers to a method, device, processor and computer-readable storage medium for predicting and evaluating road surface resistance energy consumption that affects the power generated by the range extender. Background technique [0002] For non-road transport dump trucks with extended-range unmanned open-pit mining areas, it is necessary to carry out strategic design for its energy system, especially for the working strategy of the range extender, which needs to be reasonably optimized to prevent frequent start and stop caused by unreasonable range-extender power settings. Reduced driving dynamics due to insufficient power under extreme road conditions, unreasonable original range-extending strategy after changing the field or changing the working road surface, extra reserve power to cope with high-power continuous demand tha...

AI Technical Summary

Problems solved by technology

[0002] For non-road transport dump trucks with extended-range unmanned open-pit mining areas, it is necessary to carry out strategic design for its energy system, especially for the working strategy of the range extender, which needs to be reasonably optimized to prevent frequent start and stop caused by unreasonable range-extender power settings. Reduced driving dynamics due to insufficient power under extreme road conditions, unreasonable original range-extending strategy after changing the field or changing the working road surface, extra reserve power to cope with high-power continuous demand that needs to be processed, optimization of range-extending performance under non-road conditions, etc.

Vehicles operating in open-air non-road mining areas are often overloaded and the speed is low. There are various types of road surface materials, surface gravel and potholes, soft and hard roadbed, uneven road surface, dry or muddy road surface, etc. The resistance from the road surface becomes the energy consumption of the vehicle. The most important factor is that the energy consumption prediction algorithm of traditional road vehicle extended range management technology under road conditions is no longer applicable

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