Adaptive Vehicle Brake Control via Driver Recognition
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Solution Overview
Problem
Existing vehicle brake systems cannot automatically recognize and classify the braking preferences of different drivers, limiting the ability to customize brake force settings based on individual driver behavior and preferences.
Innovation Solution
A system that includes an electronic control unit with sensors, a user interface, and a driver recognition system, which processes sensor data, driver preference data, and identification data to execute a control algorithm determining a driver-dependent braking force and regulating the brake system accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If brake systems are controlled by predetermined settings defined in the manufacturing process, then the system structure remains simple and reliable, but the system cannot adapt to individual driver preferences and behaviors
Solution Approach 1:
The brake control system transitions from static predetermined settings to dynamic adaptive control by continuously monitoring driver behavior through sensors and adjusting brake force in real-time based on classified driving patterns and individual preferences stored in memory
Solution Approach 2:
The system automatically recognizes and classifies the driver's braking preferences without manual intervention by processing sensor data through evaluation modules that identify driving patterns and select appropriate brake force settings independently
2Ease of operation
If drivers are provided with manual selection switches for limited brake options, then the system remains simple to manufacture, but drivers cannot flexibly adjust brake settings to their specific preferences
Solution Approach 1:
The patent replaces manual mechanical selection switches with an electronic control system that uses sensors, processors, and memory to automatically determine and adjust brake force settings based on driver behavior classification and stored preference data
3Adaptability or versatility
If the system automatically recognizes and classifies driver braking preferences using sensors and control algorithms, then personalized brake control is achieved, but the device complexity and processing requirements increase
Solution Approach 1:
The control unit performs multiple functions including sensing driver input, classifying driving patterns, storing preference data, and regulating brake force within a single integrated system, reducing the need for separate dedicated components for each function
Data Source
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AI summary
A system for controlling a brake force of a vehicle. In one embodiment, the system includes an electronic control unit (15) including a controller (20), a plurality of sensors (25) in electronic communication with the controller. Each of the sensors transmits sensor data to the controller. A user interface (30) and a driver recognition system (51) are in electronic communication with the controller, and a computer readable memory (70) stores instructions executed by the controller. The instructions cause the controller to evaluate a driver identification data (77) received from the driver recognition system (51), a driver preference data (79) received from the user interface (30), and the sensor data (202) received from the sensors (25). The instructions further cause the controller to classify and select a driver or a driving pattern class (203), execute a control algorithm to determine a driver dependent brake force (208) based on at least one of the selected driver or driving pattern class, the driver preference data, and the driver identification data, and to regulate the brake force (209, 210) of the vehicle based on the driver dependent brake force.