Intelligent multisource assessment method and device for limit mileages of intelligent unmanned vehicles

Abstract

The invention discloses an intelligent multisource assessment method and device for limit mileages of intelligent unmanned vehicles. According to the method, a slope energy consumption value, a temperature energy consumption value, a wind resistance energy consumption value and length index at road sections with different speeds are put forward by combining road environments, influence factors, for unmanned vehicle power consumption, of complicated road environments are quantified, and an unmanned vehicle power consumption prediction model is established; the power prediction of the method isunrelated to batteries, vehicle models and vehicle part performance, and training is carried out by the model in real time, so that the prediction result is not influenced by the using time and life of the batteries and the vehicles; and when the vehicle running speed is high, the wind resistance is the main part of the vehicle energy consumption. According to the method, different power consumption prediction models are selected according to the sizes of wind speeds, and different power consumption prediction models are used for high and low wind speeds, so that input parameters of the modelsare decreased, the calculation time is shortened, the prediction precision of the models can be improved, and the timeliness is stronger.

Description

technical field [0001] The invention belongs to the field of artificial intelligence, in particular to an intelligent multi-source evaluation method and device for the limit mileage of an intelligent unmanned vehicle. Background technique [0002] With the continuous development of artificial intelligence, unmanned vehicles have attracted more and more attention. As the energy source for driving unmanned vehicles, the electric energy storage device of unmanned vehicles plays an important role in the driving state of unmanned vehicles. Different power conditions will affect the limit mileage that unmanned vehicles can travel, and affect the path planning of vehicles. To a certain extent, high-precision prediction of vehicle power and real-time evaluation of vehicle limit mileage are the core foundations for high-quality driverless driving. [0003] Unmanned vehicles need to obtain real-time power data information of unmanned vehicles during driving, and the power information...

AI Technical Summary

Problems solved by technology

[0004] The current power of unmanned vehicles is only considered based on the vehicle's own factors such as vehicle speed, distance, and battery capacity. It does not fully consider the nonlinear dynamic impact of unmanned vehicles on different road conditions, especially wind environments, so it cannot be real-time accurate. Accurately predict the actual battery capacity and future operating mileage

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