A method and system for predicting power supply models of unmanned vehicles in ice and snow environments
An unmanned vehicle and model prediction technology, which is applied to vehicle components, neural learning methods, biological neural network models, etc., can solve problems such as poor adaptability, poor system prediction performance, and poor practicability
Active Publication Date: 2019-10-08
CENT SOUTH UNIV
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[0005] The present invention proposes a power supply model prediction method and system for an unmanned vehicle in an ice and snow environment. Problems of poor practicability and poor practicability, especially in ice and snow environments, integrate the collected effective snow depth, road slope, battery temperature and other parameters into the comprehensive prediction model of unmanned vehicle battery power to realize battery High reliability and high precision prediction
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[0069] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0070] Such as figure 1 As shown, a power model prediction method for unmanned vehicles in ice and snow environment, including the following steps:
[0071] Step 1: Obtain historical driving data of unmanned vehicles in ice and snow environment;
[0072] The driving data includes road snow depth, road slope, battery temperature, power consumption rate, and remaining power at each moment;
[0073] Using the on-board electronic level instrument of the unmanned vehicle, the angle between the vehicle body direction and the horizontal direction is sensed as the road slope measurement value.
[0074] 16 non-contact temperature sensors evenly distributed on the battery surface are used to collect the battery temperature of the unmanned vehicle in real time. Through interpolation processing, the three-dimensional temperature distribution data map of the batte...
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The invention provides a method and system for predicting power supply models of unmanned vehicles in ice and snow environments. The method uses data collection and fusion technologies from various sensors to collect various parameters such as effective snow depth, road slope, and battery temperature. It is integrated into the comprehensive prediction model of battery power of unmanned vehicles, and the measured value of snow depth and the corresponding three-dimensional depth image observation value are used for weighted fusion to realize the battery power of unmanned vehicles in complex environments such as snowy road environments. Intelligent comprehensive calculation provides more complete considerations for the design and development of unmanned vehicle batteries. The system has a simple structure and gets rid of the reliance on fixed snow depth measurement devices along the road. It realizes the resource optimization configuration of the power supply system of unmanned vehicles, and improves the battery life of unmanned vehicles to a certain extent.
Description
technical field [0001] The invention belongs to the field of unmanned vehicles, in particular to a method and system for predicting power supply models of unmanned vehicles in ice and snow environments. Background technique [0002] In recent years, as the market has higher and higher requirements for vehicle safety and intelligence, unmanned vehicles have gradually become a hot technology, and more and more enterprises and scientific research institutions have participated in this field. Automobile production companies such as Google and Volvo have been committed to the research and development of new technologies for unmanned vehicles, but most of them are distributed in improving the navigation technology of unmanned vehicles, improving positioning accuracy, optimizing decision-making control systems, road right allocation, and intelligent traffic planning. On the other hand, there is no technical solution or technological innovation for the on-board power supply of unman...
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IPC IPC(8): G07C5/00G07C5/08G06K9/62G06N3/08B60W40/06
CPCG06N3/084G07C5/004G07C5/0808B60W40/06B60W2555/20B60W2552/15G06F18/25
Inventor 刘辉李燕飞
Owner CENT SOUTH UNIV