An intelligent multi-source evaluation method and device for limit mileage of intelligent unmanned vehicles

Abstract

The invention discloses an intelligent multi-source evaluation method and device for the limit mileage of an intelligent unmanned vehicle. In combination with the road environment, the method proposes slope energy consumption values, temperature energy consumption values, wind resistance energy consumption values, and road section length indicators at different speeds. The complex road environment quantifies the factors affecting the power consumption of unmanned vehicles, and establishes a prediction model for the power consumption of unmanned vehicles; The prediction results are not affected by the service time and life of the battery and the vehicle; when the vehicle is running at a high speed, the wind resistance accounts for the main part of the energy consumption of the vehicle. This method selects different power consumption prediction models according to the wind speed. The use of different power consumption prediction models reduces the input parameters of the model, reduces the calculation time, improves the prediction accuracy of the model, and is more time-sensitive.

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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