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Vehicle speed planning method based on cloud reasoning

Inactive Publication Date: 2017-04-05
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing cruise technology has certain fuel economy, but this cruise mode takes the comfort and safety of the vehicle as the control goal, and cannot maximize the fuel economy of the vehicle

Method used

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  • Vehicle speed planning method based on cloud reasoning
  • Vehicle speed planning method based on cloud reasoning
  • Vehicle speed planning method based on cloud reasoning

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with accompanying drawing:

[0029] The uncertainty of the driving environment, the nonlinear characteristics of the running state and other artificial uncertain factors lead to the uncertainty of the fuel consumption in the running of the vehicle. The present invention proposes a vehicle cruising speed planning method based on cloud reasoning, which combines the road condition of the vehicle with the economic state of the vehicle to plan the economical cruising speed change track, and the vehicle will cruise according to the economical cruising speed change track. , which can minimize the fuel consumption of the car and improve the fuel economy of the whole vehicle.

[0030] The implementation of the inventive method comprises the following concrete steps:

[0031] 1) Establish a database of average fuel consumption per 100 kilometers of vehicles based on test data. The database includes the followin...

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Abstract

The invention relates to a cloud inference-based car cruising speed planning method, which takes the average fuel consumption of a car per 100 kilometers as an economic evaluation index. The planning method has the flow diagram that first, a cloud model of the average fuel consumption per 100 kilometers is established based on experimental data; second, related theories of cloud transform, cloud inference and the like are used for determining a concept tree of cloud model input and outputting variables so as to generate a cloud model rule base of the average fuel consumption of a car per 100 kilometers; a mapping relationship between the input and output variables is generated based on automatic extraction procedures of the cloud inference and the rule base, the economic speed under different driving resistances is extracted based on the mapping relationship, an economic cruising speed changing track which is adapted to the change of driving resistances is planned for these economic speeds, and the car runs at the economic speed corresponding to the driving resistance all the time. Accordingly, the method can improve the fuel economy of the whole car, thereby effectively reducing the average fuel consumption of a car per 100 kilometers and better achieving the purpose of energy conservation and emission reduction.

Description

technical field [0001] The invention is a cloud-based reasoning-based vehicle cruising speed planning method. It can switch between different driving resistance conditions according to the road conditions and climate environment parameters when the car is cruising, and plan the change trajectory of the economical cruising speed. Background technique [0002] During the "Eleventh Five-Year Plan" period, the country proposed a strategy for energy conservation and emission reduction. During the "Twelfth Five-Year Plan", my country continued to implement energy conservation and emission reduction, and then proposed a specific "energy-saving and new energy vehicle" strategy, which shows that the country's fuel economy for automobiles and emission performance are constantly putting forward new requirements. [0003] The existing cruising technology has certain fuel economy, but the cruising mode takes the comfort and safety of the vehicle as the control target, and cannot maximize...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 张立斌荆忠倩杨玉林苏建单红梅刘玉梅戴建国陈熔徐观林慧英邓祥敬袁越超王鹏李福齐韩玲刘琦峰
Owner JILIN UNIV
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