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A multi-source fusion prediction method and system for unmanned vehicle power supply

A technology of unmanned vehicles and prediction methods, which is applied in the field of multi-source fusion prediction of unmanned vehicle power sources, and can solve the problems of poor performance, poor adaptability, and poor practicability of system predictions, etc.

Active Publication Date: 2020-08-25
CENT SOUTH UNIV
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Problems solved by technology

[0005] The present invention proposes a multi-source fusion prediction method and system for the unmanned vehicle power supply. In order to solve the problem of low stability, especially in the ice and snow environment, the collected effective snow depth, road slope, battery temperature and other parameters are integrated 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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  • A multi-source fusion prediction method and system for unmanned vehicle power supply
  • A multi-source fusion prediction method and system for unmanned vehicle power supply
  • A multi-source fusion prediction method and system for unmanned vehicle power supply

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Embodiment Construction

[0089] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0090] like figure 1 As shown, an unmanned vehicle power multi-source fusion prediction method includes the following steps:

[0091] Step 1: Obtain historical driving data of unmanned vehicles in ice and snow environment;

[0092] The driving data includes road snow depth, road slope, battery temperature, power consumption rate, and remaining power at each moment;

[0093] Using the MEMS gyroscope in the on-board inertial navigation system of the unmanned vehicle, the angle between the vehicle body direction and the horizontal direction is sensed as the road slope measurement value.

[0094] 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 battery...

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Abstract

The present invention provides a multi-source fusion prediction method and system for unmanned vehicle power supply. The method uses multi-sensor data fusion technology to fuse the collected multiple parameters such as effective snow depth, road slope, and battery temperature into the unmanned vehicle power supply. In the comprehensive prediction model of driving vehicle battery power, the intelligent comprehensive calculation of battery power of unmanned vehicles in complex environments such as snow-covered road environments is realized, providing more complete considerations for the field of autonomous vehicle battery design and research and development. The system has a simple structure, gets rid of the dependence on fixed snow depth measuring devices along the road, realizes the optimal allocation of resources in the power supply system of unmanned vehicles, and improves the endurance of unmanned vehicles to a certain extent.

Description

technical field [0001] The invention belongs to the field of unmanned vehicles, and in particular relates to a multi-source fusion prediction method and system for unmanned vehicle power supplies. 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. Google, Volvo and other companies 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 comprehensive planning of traffic intelligence. However, as a vehicle power source, the on-board power supply is the basis for the realization of all technologies of unmanned ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/02G06N3/04G06N3/08
CPCG05D1/0221G05D1/0223G05D1/0251G05D1/0276G06N3/006G06N3/08G06N3/084
Inventor 刘辉吴海平李燕飞施惠鹏
Owner CENT SOUTH UNIV