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Intelligent predicting method and device for power supply of driverless vehicle under extreme rainstorm environment

An unmanned vehicle and environmental technology, applied in measurement devices, battery/fuel cell control devices, vehicle energy storage, etc.

Active Publication Date: 2018-10-16
CENT SOUTH UNIV
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AI Technical Summary

Problems solved by technology

[0004] The present invention proposes a method and device for intelligently predicting the power supply of unmanned vehicles in an extreme rainstorm environment. Aiming at the single calculation method of the existing vehicle battery, a variety of external sensors are set, and the driving process of unmanned vehicles is comprehensively considered. A variety of environmental factors in the environment can effectively solve the problem of vehicle battery power prediction

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  • Intelligent predicting method and device for power supply of driverless vehicle under extreme rainstorm environment
  • Intelligent predicting method and device for power supply of driverless vehicle under extreme rainstorm environment
  • Intelligent predicting method and device for power supply of driverless vehicle under extreme rainstorm environment

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Embodiment Construction

[0094] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0095] Such as figure 1 As shown, an intelligent prediction method for power supply of unmanned vehicles in an extreme rainstorm environment includes the following steps:

[0096] Step 1: Obtain the historical driving data of unmanned vehicles in the rainstorm environment;

[0097] The historical driving data includes rainfall resistance at each moment, road water resistance, slope power loss, vehicle battery temperature, power consumption rate, and remaining power;

[0098] Step 2: Construct a battery power consumption rate fitting model for unmanned vehicles based on wavelet neural network;

[0099] Taking the rainfall resistance, road water resistance, slope power loss, and vehicle battery temperature in each specified time interval T in the historical driving data as input data, the specified time interval T is 30s in this example, and the rainfal...

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Abstract

The invention discloses an intelligent predicting method and device for a power supply of a driverless vehicle under the extreme rainstorm environment. The intelligent predicting method adopts varioussensors, various environmental information of the driverless vehicle under the extreme rainstorm environment can be considered comprehensively, the rainfall resistance of a vehicle body is measured through force sensors, and data fusion is conducted through a hierarchical dispersion fusion algorithm; image collection is conducted through a Kinect camera, grey processing is conducted, thus an obtained accumulated water detecting image is concise and clear, and the detecting precision is high; the electrical quantity of the driverless vehicle under the extreme rainstorm environment is predictedin real time through a two-layer neural network, the use of the neural network takes full account of various quantitative and qualitative variable factors under the nonlinear environment, thus compared with a general SOC battery electrical quantity predicting method, the obtained electrical quantity predicting result is more intelligent, and the predicting result is more precise.

Description

technical field [0001] The invention belongs to the field of unmanned vehicles, in particular to a method and device for intelligently predicting the power supply of an unmanned vehicle in an extreme rainstorm environment. Background technique [0002] With the rapid development of science and technology, the research and development of unmanned vehicle technology has been paid more and more attention by people. However, as far as the existing technology is concerned, the driving of unmanned vehicles cannot completely replace existing vehicles. There are many limitations, the most important of which is the control of the battery power of the vehicle. Realize the basis. [0003] As far as the existing conditions are concerned, how to accurately estimate the vehicle power condition in extreme environments is a difficult problem for unmanned vehicles. There is no effective technology disclosed so far. This is the core technical problem to be solved by the invention patent. Co...

Claims

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Application Information

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IPC IPC(8): B60L11/18G06N3/08G06N3/12G01R31/36
CPCB60L58/10B60L2240/12B60L2240/26B60L2240/545B60L2240/64B60L2240/667B60L2260/54G06N3/08G06N3/084G06N3/126Y02T10/70
Inventor 刘辉李燕飞龙治豪
Owner CENT SOUTH UNIV
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