Self-adaptation control method for intelligent automobile system

Abstract

The invention discloses a self-adaptation control method for an intelligent automobile system. The method includes the steps that driver identity information is acquired, and driving environment settings of drivers are recorded; whether the accumulated driving frequency of the same driver exceeds a preset frequency or not is judged, if the accumulated driving frequency of the same driver does not exceed the preset frequency, the driving environment settings of the same driver are accumulated, and if the accumulated driving frequency of the same driver exceeds the preset frequency, the driver is set as a common driver, all parameter values of the driving environment settings of the driver are calculated, and the driving environment settings commonly used by the driver are obtained; and when the driver drives again, the driving environment is automatically changed into the driving environment settings commonly used by the driver. By the adoption of the method, based on an intelligent adjusting function, the driving behavior operating habits of the multiple drivers can be automatically recorded, and a new driver and persons with different body features can be assisted in automatically adjusting the driving habits. The driving environment settings commonly used by the drivers can be automatically processed and analyzed, and therefore the method has the beneficial effects of being more user-friendly and intelligent.

Description

technical field [0001] The invention relates to the technical field of vehicle control systems, in particular to an adaptive control method for an intelligent vehicle system. Background technique [0002] In recent years, after the driver enters the interior of the car, he needs to prepare the seat position, interior / exterior mirrors, steering wheel, radio channels, and the welcome interface of the entertainment system, all manually or by equipment to continue the last operation record. All of the above technologies have limitations that require manual intervention or limited working modes. There must be manual intervention every time, and there are non-automated conditions. Even when the machine performs memory and continues the last operation, it is still inevitable to miss the operation; the driver needs to operate separately for many times, increasing the workload of the driver; increasing the workload of the driver's manual intervention during driving, reducing driving...

AI Technical Summary

Problems solved by technology

The above technologies all have limitations that require manual intervention or limited working modes

There must be manual intervention every time, and there are non-automated conditions

Even when the machine performs memory and continues the last operation, it is still inevitable to miss the operation; the driver needs to operate separately for many times, increasing the workload of the driver; increasing the workload of the driver's manual intervention during driving, reducing driving safety; Chairs, interior / exterior rearview mirrors, radio frequency bands, and steering wheels need to be operated separately, and the work that can be completed by one operation and the latter by misoperation has the limitation of low efficiency.