Intelligent Driving System with Embedded Driver Model
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Solution Overview
Problem
Existing vehicle control systems fail to adapt to individual driver preferences and demands, such as comfort and performance, as they are designed based on general automobile dynamics without considering the driver's operation intentions and road environment.
Innovation Solution
An intelligent driving system with an embedded driver model that includes a driver model module, road environment detection module, driver operation detection module, and complete vehicle system module, which collects and analyzes data to identify and predict driver preferences and road conditions, adjusting vehicle parameters in real-time to meet individual driver demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed parameters are used in automotive electronic control systems, then system design is simplified and manufacturing is easier, but the system cannot adapt to individual driver preferences and demands
Solution Approach 1:
The patent applies dynamics by transforming fixed control parameters into dynamically adjustable ones. The system continuously adapts suspension damping parameters and powertrain control parameters based on real-time detection of driver operations, road conditions, and vehicle state, enabling the system to transition between different driving modes (comfort-oriented and performance-oriented) according to actual driving scenarios
Solution Approach 2:
The patent implements feedback mechanisms through multiple detection modules that continuously monitor driver operations (steering wheel torque, pedal operations), road environment (curvature, gradient, adhesion coefficient), and vehicle state (speed, acceleration). This feedback information is processed by control units that adjust control parameters in real-time, creating a closed-loop control system that adapts to driver preferences and road conditions
2Speed
If suspension damping parameters are increased, then vehicle maneuverability and driving performance are improved, but vehicle comfortableness deteriorates
Solution Approach 1:
The patent applies dynamics by making suspension damping parameters dynamically adjustable rather than fixed. The system detects driver preferences through operation patterns and road conditions, then real-time adjusts damping parameters to achieve the desired balance between maneuverability and comfortableness for each specific driving scenario
Solution Approach 2:
The patent changes physical parameters of the suspension system by adjusting damping coefficients based on detected driving conditions and driver preferences. The control system modifies suspension parameters dynamically, increasing damping for performance-oriented driving and decreasing damping for comfort-oriented driving, thereby resolving the contradiction between maneuverability and comfortableness
3Measurement precision
If the system detects and analyzes multiple parameters in real-time, then driver preferences and road conditions are accurately identified, but system complexity and computational requirements increase
Solution Approach 1:
The patent segments the detection and control system into specialized modules: road environment detection module, driver operation detection module, vehicle state detection module, and separate control units for suspension and powertrain. Each module focuses on specific detection or control tasks, which simplifies the overall system architecture while maintaining high detection accuracy through dedicated sensors and processors for each function
Data Source
AI summary
An intelligent driving system with an embedded driver model. The system includes a driver model module that adjusts vehicle performances according to driving characteristics of a driver and road environment. A driver's visual and tactile information may be taken into account when driving a vehicle, so as to tune vehicle performances to allow the vehicle to adapt itself to the individual driver.