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Real-time-power-amount smart-prediction method and device of unmanned vehicle

An unmanned vehicle, real-time power technology, applied in the field of artificial intelligence, can solve the problem of not fully considering the nonlinear dynamic influence of power, and predicting battery power consumption.

Active Publication Date: 2018-09-07
CENT SOUTH UNIV
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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, history, and battery capacity. It does not fully consider the nonlinear dynamic impact of road conditions on the power of unmanned vehicles in different environments. Predict the actual power consumption of the battery

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Embodiment Construction

[0082] The present invention will be further described below in conjunction with accompanying drawings and examples.

[0083] like figure 1 As shown, a real-time electric power intelligent prediction method for unmanned vehicles includes the following steps:

[0084] Step 1: Obtain training data;

[0085] The training data includes the energy consumption value, driving distance and power consumption of the unmanned vehicle within a specified time nT during driving, and the energy consumption value includes wind resistance energy consumption value, slope energy consumption value and temperature energy consumption value ;

[0086] The wind resistance energy consumption value is obtained by accumulating the relative wind speed of the unmanned vehicle within a specified time nT, and the relative wind speed refers to the difference between the external wind speed of the vehicle and the vehicle speed;

[0087]The slope energy consumption value is obtained by integrating the climb...

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Abstract

The invention discloses a real-time-power-amount smart-prediction method and device of an unmanned vehicle. According to the method, research is carried out for main power consumption aspects such asaspects of air conditioning, wind resistance and the like of vehicle running, complex road environments are combined to establish a power consumption amount prediction model, the selected and used model is obtained on the basis of training of a neural network, self-learning performance is high, and accuracy is good; and power amount prediction of the model is independent of a battery, and is trained in real time, use situations of power amounts in the different road condition environments can be identified, prediction result accuracy is high, timeliness is good, and the problem of inaccuracy caused by calculating power consumption amounts only for basic working principles and charging / discharging characteristics of batteries in the prior art is better avoided.

Description

technical field [0001] The invention belongs to the field of artificial intelligence, in particular to a method and device for real-time power intelligent prediction of unmanned vehicles. Background technique [0002] Artificial intelligence has developed rapidly recently, and unmanned vehicles are one of the hottest concerns among people. For the development of unmanned vehicles, the power storage device is the focus of its development. The performance of the power storage device using electric energy will affect the speed decision and path planning decision of the unmanned vehicle. The high-precision prediction of vehicle power is in the To a certain extent, it can provide decision-making and suggestions for the power storage device to exert its maximum effect. [0003] The power of unmanned vehicles is a piece of data that needs to be obtained in real time during the driving process of unmanned vehicles. The power of the unmanned vehicle reflects the matching relationsh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/00G06N3/04
CPCG06N3/006G06Q10/04G06N3/044
Inventor 刘辉李燕飞段铸
Owner CENT SOUTH UNIV
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