Battery capacity predication method and pre-warning system for unmanned vehicle on heavy rain road

Abstract

The invention discloses a battery capacity predication method and pre-warning system for an unmanned vehicle on a heavy rain road. According to the battery capacity predication method for the unmannedvehicle on the heavy rain road, by using a plurality of sensors to form a sensor network, multiple running environment factors of the unmanned vehicle on the heavy rain road can be comprehensively considered; rainfall resistance of a vehicle body is measured by using a force sensor; integrated data fusion is carried out by using a fusion coefficient; by using a genetic algorithm to carry out weighted coefficient optimization on collected data information, the influences of the different running environment factors on the vehicle battery capacity can be distinguished so that the obtained datastructure is more representative; the battery capacity of the unmanned vehicle under an extreme heavy rain environment is predicated in real time by using a two-layer neural network; and various quantitative and qualitative variable factors under a non-linear environment are sufficiently considered through the adoption of the the neural network. Compared with the common SOC battery capacity predication method, the battery capacity predication method for the unmanned vehicle on the heavy rain road has the advantages that the method is more intelligent, the obtained battery capacity predicationresult is more accurate, and a very good pre-warning function can also be realized.

Description

technical field [0001] The invention relates to a power prediction method and an early warning system for an unmanned vehicle on a rainstorm road. Background technique [0002] In recent years, the research and development of unmanned vehicle technology has attracted more and more attention from major companies. Companies such as Google and Uber have continued to increase their research on unmanned vehicles. Countries have also been promoting the implementation of laws for unmanned vehicles on the road. However, the current unmanned vehicles cannot completely replace the existing vehicles. There are many reasons for this. One of the more important points is the control of the battery power of the unmanned vehicles. The technical basis for whether the vehicle can be put into practical use. [0003] At present, the battery power calculation of unmanned vehicles generally adopts a simple SOC prediction method, etc., the calculation results are not accurate enough, and the real...

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Problems solved by technology

[0004] The present invention provides a method and early warning system for pre

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