Network simulation machine self-learning method and device

A self-learning method and network simulation technology, which is applied in the field of network simulation machine self-learning method and its device, can solve the problems of not satisfying consumers' driving preferences and operators, so as to increase the sense of technology, improve the car experience, The effect of improving driving comfort

Inactive Publication Date: 2021-05-28
NANCHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, smart cars can only provide fixed two or three driving modes, but these fixed two or three modes cannot meet the driving preferences of millions of consumers and operators of different driving modes, and need to be tested on network simulation machines self-learning method

Method used

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  • Network simulation machine self-learning method and device
  • Network simulation machine self-learning method and device

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Embodiment Construction

[0056] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. The following description serves to disclose the present invention to enable those skilled in the art to carry out the present invention. The preferred embodiments described below are only examples, and those skilled in the art can devise other obvious variations.

[0057] exist figure 1 Among them, the VCU vehicle controller collects drivability judgment-related signals to recommend the operator’s driving mode, such as the travel information of the accelerator pedal and brake pedal, etc., and can also communicate with the MCU motor controller, ESC electronic stability system controller, BCM body controller, EHU car large-screen controller, etc. establish signal communication through CAN bus; MCU motor controller is used to receive VCU vehicle controller control torque demand signal, and control motor to respond to vehicle torque deman...

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Abstract

The invention discloses a network simulation machine self-learning method and device. The method comprises the following steps: switching a motion state of a simulation machine into a general mode; acquiring operation information of an operator and motion information of a simulation machine; respectively extracting an operation characteristic parameter and a simulation machine motion characteristic parameter from the operator operation information and the simulation machine motion information; searching classification in a classifier according to the operation characteristic parameters and the simulation machine motion characteristic parameters to obtain a classification result; according to the classification result, identifying and matching the driving mode of the operator to obtain a driving mode matching result, and storing the driving mode matching result; and according to the driving mode matching result, changing the motion state of the simulation machine. According to the invention, the operator can select the driving mode by himself / herself to adapt to different operator styles, the driving comfort is improved, the vehicle using experience of a user is improved, and the science and technology feeling of the vehicle is also improved.

Description

technical field [0001] The invention relates to the field of industrial Internet, in particular to a network simulation machine self-learning method and a device thereof. Background technique [0002] Smart cars are on the rise. In order to provide a more reliable solution for smart cars, it is necessary to conduct experiments on network simulation machines. At present, smart cars can only provide fixed two or three driving modes, but these fixed two or three modes cannot meet the driving preferences of millions of consumers and operators of different driving modes, and need to be tested on network simulation machines self-learning method. Contents of the invention [0003] The purpose of the present invention is to provide a network simulation machine self-learning method and its device which are more comfortable to drive and meet the requirements of different users. [0004] To achieve the above object, the technical scheme adopted in the present invention is: [0005...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N20/00G09B9/04
CPCG06N20/00G09B9/04G06F18/241
Inventor 彭杰付云
Owner NANCHANG UNIV
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