Real-time driver's braking behavior and state distinguishing method

An identification method and driver's technology, applied in the direction of control devices, etc., can solve the problems of difficulty in ensuring the real-time and accuracy of identification results, inconsistent braking behavior, etc., and achieve the effect of strong real-time performance and high accuracy.

Active Publication Date: 2017-06-13
湖北应急产业技术研究院有限公司
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  • Application Information

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Problems solved by technology

The current patents and research on the braking state do not fully start from the perspective of the driver's operating habits and braking behavior characteristics, and the selected characteristic parameters and clustering basis are difficult to fully describe all the braking states th

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  • Real-time driver's braking behavior and state distinguishing method
  • Real-time driver's braking behavior and state distinguishing method
  • Real-time driver's braking behavior and state distinguishing method

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Embodiment Construction

[0027] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0028] Such as figure 1 As shown, this method specifically includes five steps: signal acquisition, feature extraction, behavior clustering, adaptive learning and real-time identification.

[0029] 1. Data collection

[0030] The present invention first utilizes the actual vehicle test platform to collect the driver's manipulation signal and vehicle braking state parameters through the brake pedal force sensor, the brake pedal travel sensor and the vehicle-mounted CAN bus: brake pedal force, brake pedal travel, vehicle speed, Line pressure, front and rear wheel speeds. Considering the differences in the maneuvering habit...

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Abstract

The invention discloses a real-time driver's braking behavior and state distinguishing method. The method comprises the following steps that 1, original test data of an actual vehicle of a driver is obtained through an actual vehicle testing platform; 2, the test data is preprocessed, wherein the preprocessing includes noise reduction preprocessing and abnormal data processing; 3, a principal component analysis method is utilized to conduct feature extraction and data dimension reduction on preprocessed data; 4, a braking pedal force, a braking pedal stroke and braking pedal stroke change rate data are clustered; 5, offline learning of different braking behaviors and states is completed based on a statistic pattern recognition model, and a behavior training library and a state training library of corresponding quantization representation values are obtained; 6, braking behaviors and states of different drivers under different driving working conditions are distinguished in real time. The method can be used in the technical fields of a brake-by-wire system, a braking energy recovery strategy, vehicle running state monitoring and the like, and can also create conditions for automatic driving decision-making control based on driver's behaviors.

Description

technical field [0001] The invention relates to vehicle intelligent assisted driving technology, in particular to a method for real-time identification of a driver's braking behavior and state. Background technique [0002] As vehicle technology continues to advance towards intelligence and sharing, a series of intelligent assisted driving systems around the vehicle braking system have been proposed, which put forward higher requirements for the control decision-making of the traditional braking system. In the "Technology Roadmap for Energy Saving and New Energy Vehicles" issued by the Society of Automotive Engineers of China, the development requirements for automatic driving control functions based on driver behavior are proposed for the control decision-making of intelligent networked vehicles, emphasizing the impact of driving behavior on the environment, vehicle characteristics, The dynamic movement mechanism adapts to the necessity of learning. [0003] Braking state ...

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Application Information

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IPC IPC(8): B60W40/09
CPCB60W40/09B60W2050/0019B60W2050/0028
Inventor 裴晓飞潘浩过学迅孙道远余奎董兴智
Owner 湖北应急产业技术研究院有限公司
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