Intelligent identification Method for running state of hybrid electric automobile

A driving state, intelligent identification technology, applied in electric vehicles, neural learning methods, electric traction and other directions, can solve the problem of fuel economy and emission performance advantages not being fully reflected, and achieve improved fuel economy and emission performance, identification obvious effect

Inactive Publication Date: 2009-04-29
BEIJING JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

Compared with traditional engine vehicles, the control strategy of hybrid electric vehicles is closely related to the driving state of the vehicle. At present, there is no equip

Method used

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  • Intelligent identification Method for running state of hybrid electric automobile
  • Intelligent identification Method for running state of hybrid electric automobile
  • Intelligent identification Method for running state of hybrid electric automobile

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Embodiment Construction

[0021] Below in conjunction with accompanying drawing, the present invention is further described as follows:

[0022] Such as figure 1 As shown, the use of neural network for intelligent recognition requires two stages. The first stage is the learning period, which is mainly to calculate the control parameters required by the intelligent recognition program. The second stage is to write the intelligent recognition program and then download it to the controller. The driving state of the car can be recognized in real time. In the following, we will elaborate on the above two stages in detail with examples:

[0023] In the first stage, the learning period is as figure 1 The top half of the :

[0024] Step 1: Collect standard driving conditions of automobile trunk roads and expressways. Then segment the driving conditions of the vehicle to obtain small speed segments, that is, small samples. In this example analysis, the sampling time of each small sample is t s Choose 180 ...

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Abstract

The invention discloses an intelligent method for identifying the driving state of a hybrid electric vehicle, belonging to the electric vehicle control technical field. Neural network is mainly adopted by the method for the identification. The working process is mainly divided into two stages of a learning period and a working period. During the learning period, the standard driving condition of the vehicle is collected firstly and segmented; each sample is calculated to obtain a series of sample parameters; the sample parameters are inserted in a neural network calculation formula to obtain parameters required for the intelligent identification control. During the working period, the cut ridge filtering processing is implemented on the obtained speeds; then the recursive average filtering processing is carried out; the speeds within a certain period of time are stored and are calculated; the calculated results are inserted in the neural network calculation formula to obtain the current driving state of the vehicle. With obvious identification effect on the vehicle driving state, the method for identifying the driving state of the hybrid electric vehicle can help a controller of the electric vehicle to reasonably and effectively regulate control parameters, thereby further improving the fuel economy and emission performance of the electric vehicle.

Description

technical field [0001] The invention relates to an intelligent identification method for the current driving state of a hybrid electric vehicle, belonging to the technical field of electric vehicle control. Background technique [0002] Electric vehicle is an important direction of automobile development in our country. The research on the control strategy of hybrid electric vehicle has become one of the hotspots in automobile research. Compared with traditional engine vehicles, the control strategy of hybrid electric vehicles is closely related to the driving state of the vehicle. At present, there is no equipment and method for identifying the driving state of the vehicle in China. Therefore, the fuel economy and emission performance of hybrid electric vehicles advantage has not been maximized. The invention processes and calculates the running speed of the car, thereby effectively identifying the running state of the car and helping the controller of the electric car to ...

Claims

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Application Information

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IPC IPC(8): G06N3/02G06N3/08B60L11/00
Inventor 张欣田毅宋建锋
Owner BEIJING JIAOTONG UNIV
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