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Vehicle energy management method based on intelligent network connection information

A vehicle energy management and intelligent network technology, applied in the field of electric vehicle energy management, can solve the problems of pure electric vehicle energy management vacancy and so on

Active Publication Date: 2021-03-19
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, considering this point, the research on energy management of pure electric vehicles is still vacant.

Method used

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  • Vehicle energy management method based on intelligent network connection information
  • Vehicle energy management method based on intelligent network connection information
  • Vehicle energy management method based on intelligent network connection information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0142] First, the dynamic traffic information of the target vehicle is obtained by the intelligent network, and the vehicle travel route is planned, and the planned vehicle travel route is converted into a method of vehicle speed requirements;

[0143] Including the OSM map data; extract road node information and processing; set the path weight based on real-time traffic information; after entering the start point, use the path search algorithm to search; real-time traffic information; reset the road section during driving The value is related to the way; the path information is converted to an acceleration information.

[0144] After obtaining real-time road traffic information, it is necessary to optimize the local acceleration requirements. The information that the real-time road traffic information can be provided has the speed of the front car, the distance between the signal light and the green lamp time. In addition, the distance from the front car can be obtained by car mi...

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Abstract

The invention provides a vehicle energy management method based on intelligent network connection information, and belongs to the technical field of electric vehicle energy management. The method specifically comprises the steps of firstly, for a certain target vehicle, acquiring dynamic traffic information of the vehicle through intelligent network connection, and constructing a target function and a constraint condition; then, solving the target function by utilizing a dynamic programming method under the constraint condition to obtain the optimal acceleration a of the target vehicle; meanwhile, building a power battery equivalent circuit model, and setting a state-space equation and carrying out discretization; solving by using an extended Kalman filtering method to obtain a real-time state of charge value SOC of the battery as a battery electric quantity condition; and finally, taking the optimal acceleration a of the target vehicle and the battery electric quantity condition as optimization factors of energy management, and performing distribution management on power consumption of a power system and a non-power system of the electric vehicle by adopting a method based on fuzzy control. The energy management of the invention is novel and efficient.

Description

Technical field [0001] The present invention relates to an energy management method based on intelligent network information, belonging to the technical field of electric vehicle energy management. Background technique [0002] The life of electric vehicle and battery life is a key factor constraints of electric vehicles; energy management technology for electric vehicles can effectively improve the economics and improve the motor vehicle. In addition, since the power battery is relatively stable, it is difficult to have a large technical breakthrough in the short term, so energy management technology is the most effective and practical to improve the mileage of electric vehicles. [0003] Currently, the energy management of pure electric vehicles is concentrated in energy management and optimization of multivariate sources, such as energy management of power batteries and supercapacitor two energy sources. However, existing electric vehicles are mostly single energy sources, tha...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04G01R31/367
CPCG05B13/042G01R31/367
Inventor 徐向阳李光远张辉
Owner BEIHANG UNIV