A method and system for unmanned driving power calculation and early warning based on environmental vision fusion
A technology of unmanned driving and electric quantity calculation, applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., which can solve the problems of poor adaptability, poor system prediction and poor practicability, etc.
Active Publication Date: 2019-09-03
CENT SOUTH UNIV
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[0005] The present invention proposes an unmanned driving power calculation and early warning method based on environmental vision fusion. The problem of poor practicability, especially in the ice and snow environment, integrates the collected effective snow depth, road slope, battery temperature and other parameters into the comprehensive prediction model of battery power of unmanned vehicles to achieve high reliability of the battery high precision prediction
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[0100] The present invention will be further described below with reference to the drawings and embodiments.
[0101] Such as figure 1 As shown, an unmanned driving power calculation and early warning method based on environmental vision fusion includes the following steps:
[0102] Step 1: Obtain historical driving data of unmanned vehicles in ice and snow environments;
[0103] The driving data includes road surface snow depth, road slope, battery temperature, power consumption rate, and remaining power at each time;
[0104] The MEMS gyroscope in the inertial navigation system of the unmanned vehicle is used to sense the angle between the vehicle body direction and the horizontal direction as the road gradient measurement value.
[0105] 16 non-contact temperature sensors uniformly distributed on the battery surface are used to collect the battery temperature of the unmanned vehicle in real time. Through interpolation processing, a three-dimensional temperature distribution data map...
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The invention discloses an unmanned electric quantity calculation and early-warning method and system based on environmental visual fusion. Intelligent and comprehensive electric quantity calculationof a battery of an unmanned vehicle in complicated environments such as a snow covered road environment, real-time detection of effective road snow depth is organically combined with electric quantitycalculation and early warning of the battery of the unmanned vehicle, and more perfect considering factors are provided for the field of battery design, research and development of unmanned vehicles.Multiple aspect factors such as effective snow depth, road slope, battery temperature of the unmanned vehicles of roads in a snowy environment are comprehensively considered, combination of vehicularaccurate measurement of the effective snow depth of roads and fixed snow depth measuring devices along the roads is achieved, optimized resource allocation of an unmanned vehicle power supply systemis achieved, and the endurance capability of unmanned vehicles is improved to some degree.
Description
Technical field [0001] The invention belongs to the field of unmanned vehicles, and particularly relates to an unmanned electric power calculation and early warning method and system based on environmental vision fusion. Background technique [0002] In recent years, as the market has increasingly higher requirements for vehicle safety and intelligence, unmanned vehicles have gradually become a hot technology, and more and more companies and scientific research institutions have participated in this field. Auto manufacturing 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, right-of-way allocation, and comprehensive intelligent traffic planning, etc. aspect. However, as a vehicle power source, the on-board power supply is the basis f...
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IPC IPC(8): G01R31/367
Inventor 李燕飞施惠鹏刘辉
Owner CENT SOUTH UNIV