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Self-learning intelligent start-stop system based on signal light countdown recognition

A signal light and countdown technology, applied in the field of self-learning, can solve the problems of shortening the service life of the battery, increasing the wear and tear of the starter, and increasing the failure rate of the vehicle electrical system

Inactive Publication Date: 2018-06-22
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Intensive signal lights are set up on urban roads, resulting in frequent idling start and stop of vehicles
Frequent idling starts and stops have brought many negative effects: 1) The failure rate of the on-board electrical system is significantly increased; 2) The service life of the battery is seriously shortened; 3) The wear and tear of the starter is greatly increased; More fuel consumption than idling
Some scholars have researched that for an engine with a displacement of 1489mL and an in-line 4-cylinder 16-valve engine, the fuel consumption at idle speed is 0.18mL / s, and the fuel consumption at one start of the engine is 1.2mL. It means that the short-time idling start-stop engine caused by a large number of traffic lights has caused greater fuel consumption

Method used

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  • Self-learning intelligent start-stop system based on signal light countdown recognition
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  • Self-learning intelligent start-stop system based on signal light countdown recognition

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Embodiment Construction

[0022] see figure 1 , the present invention comprises the following steps:

[0023] First, using computer vision knowledge, image detection and recognition methods are used to recognize the color and number of the signal light countdown in the current video frame in real time. The video frame image in the present invention is collected by the video collection device in real time and processed in real time. The collection and processing process of signal light information is detailed in figure 2 . Convert the original RGB color image to LAB color space and HSV color space respectively, and select candidate regions by simultaneously setting thresholds on the A channel of LAB, the H channel of HSV, and the difference between the G channel and the R channel of RGB space . The formula is as follows:

[0024]

[0025] conditions: H(a,b)∈(th Hmin ,th Hmax )|A(a,b)∈(th Amin ,th Amax )|R(a,b)-G(a,b)>th RG

[0026] Among them, I(a,b) represents the pixel value in the imag...

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Abstract

The invention discloses a self-learning intelligent start-stop system based on countdown recognition of signal lights. Its data collection and preprocessing module collects traffic scene video and speed time series data in front of the vehicle under various traffic environments; traffic signal light countdown data recognition The module detects the countdown position of the signal light, and recognizes the color and number of the countdown; the intelligent start-stop control module predicts the time before the vehicle reaches the signal light according to the current speed of the vehicle and the distance between the vehicle and the signal light, and according to the countdown digital information, Use the intelligent start-stop control algorithm to judge whether the vehicle needs to turn off the engine; the self-learning module, the actual traffic scene is complex and changeable, after each prediction, the data will be stored according to the actual situation, and after accumulating certain data, the model will be retrained , using the new model to complete the judgment of the control algorithm. The present invention performs self-study according to different traffic environments and current driving habits of drivers.

Description

technical field [0001] The invention relates to the technical field of engine idling start-stop control, in particular to the identification of signal lamp countdown time and the self-learning ability of an intelligent control system. Background technique [0002] As vehicle emission standards become more and more stringent, many vehicles are equipped with automatic start-stop systems in order to meet the standards. Under NEDC (New European Driving Cycle) operating conditions, the fuel saving rate of the automatic start-stop system can reach 3.37%-5.04%. NEDC is the European fuel consumption and emission assessment standard. Nowadays, domestic automobile companies usually use NEDC cycle fuel consumption for comparative analysis when evaluating the fuel economy of their development models compared with other competing models of the same level. However, in China, unlike the NEDC working conditions, the main body of vehicles is private cars, which are mainly used for commuting...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F02N11/08G06K9/00G06K9/62
CPCF02N11/0837F02N2200/125G06V20/584G06F18/2411Y02T10/40
Inventor 隗海林包翠竹熊书晨李明达王涵豆雪珊郭运珍
Owner JILIN UNIV