Automobile driving style self-learning method and device, equipment and storage medium

Abstract

The invention discloses an automobile driving style self-learning method and device, equipment and a storage medium in automobile control. The method comprises the following steps: switching a vehicle driving state into a general mode; obtaining driver operation information and vehicle driving information; respectively extracting an operation characteristic parameter and a driving characteristic parameter from the driver operation information and the vehicle driving information; searching classification in a driving style classifier according to the operation characteristic parameters and the driving characteristic parameters to obtain a classification result; according to the classification result, identifying and matching the driving style of the driver to obtain a driving style matching result, and storing the driving style matching result; according to the driving style matching result, changing the vehicle driving state, the driver can select the driving style by himself / herself to adapt to different driver 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 automobile control, in particular to an automobile driving style self-learning method, device, equipment and storage medium. Background technique [0002] At present, automobiles have gradually become a means of transportation that people cannot do without. Many people spend most of their time on vehicles. At present, there are basically three driving styles (power output characteristic curves) of automobiles, namely normal mode (general mode) and sport mode (sports mode). mode) and eco mode (economic mode), after the car leaves the factory, car manufacturers generally only provide these three driving modes, but these three modes certainly cannot satisfy the driving preferences of thousands of car consumers, and every consumer The driving style of the car is definitely different, and it cannot satisfy drivers with different driving styles. In addition, car manufacturers conduct drivability tests before mass-produci...

AI Technical Summary

Problems solved by technology

[0002] At present, automobiles have gradually become a means of transportation that people cannot do without. Many people spend most of their time on vehicles. At present, there are basically three driving styles (power output characteristic curves) of automobiles, namely normal mode (general mode) and sport mode (sports mode). mode) and eco mode (economic mode), after the car leaves the factory, car manufacturers generally only provide these three driving modes, but these three modes certainly cannot satisfy the driving preferences of thousands of car consumers, and every consumer The driving style of the car is definitely different, and it cannot satisfy drivers with different driving styles. In addition, car manufacturers conduct drivability tests before mass-producing models, and they only rely on drivers with rich driving experience to make subjective evaluations. The subjective feelings of the vehicles are not completely consistent. The final assessment of drivability is based on scoring. After the scores meet the requirements of the automaker, the vehicle can be mass-produced. In this way, the driving style has been locked after leaving the factory and cannot be modified. To set up by themselves, the user has no active right to choose, or the right to choose is relatively small, which can neither meet the diversified needs of users and complex road conditions, nor can they conduct independent learning according to the driving habits of different drivers, and provide users with customized services and enjoy

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