Custom Drift Control for Vehicle Dynamics
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Solution Overview
Problem
Existing technologies fail to consider a driver's skill level and road conditions when performing drift control, leading to unsatisfactory experiences for both experienced and beginner drivers.
Innovation Solution
A custom drift control method and device that differentially perform drift control based on driver input, including accelerator reaction speed level, attitude control assist level, and road surface information, allowing drivers to customize the degree of drift control according to their skill level and road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If drift control is performed with fixed control parameters, then the control system is simple to implement, but it cannot adapt to different driver skill levels and road conditions
Solution Approach 1:
The control system dynamically adjusts drift control parameters based on real-time detection of driver operations (steering angle, accelerator depression, brake pressure) and road conditions (lateral acceleration, yaw rate). This allows the system to adapt to different driver skill levels and road surfaces without requiring a completely different control architecture for each scenario.
Solution Approach 2:
The system changes control parameters such as torque distribution ratios, steering assistance levels, and brake force distribution based on detected driver behavior patterns and road conditions. By varying these parameters dynamically, the system achieves adaptability to different skill levels while maintaining a unified control structure.
2Ease of operation
If drift control provides high level assistance, then beginner drivers can control the vehicle more easily, but experienced drivers feel the control is intrusive and unsatisfying
Solution Approach 1:
The system continuously monitors driver operations including steering angle changes, accelerator depression rate, and brake pressure to assess driver skill level and intent. This feedback mechanism allows the system to automatically adjust the level of assistance provided, giving more guidance to beginners and reducing intervention for experienced drivers who demonstrate competent control patterns.
Solution Approach 2:
The control assistance level is dynamically adjusted based on real-time detection of driver behavior. The system transitions between high-assistance modes for beginners and low-assistance modes for experienced drivers without requiring manual intervention, making the control system adaptable to different driver skill levels.
3Productivity
If drift control activates automatically based on fixed conditions, then the control activation is simple, but it cannot respond to varying road surface conditions and driver intentions
Solution Approach 1:
The system uses multiple sensors to continuously monitor road conditions (lateral acceleration, yaw rate, wheel slip) and driver intentions (steering input rate, accelerator position). This comprehensive feedback allows the system to detect appropriate drift activation conditions while adapting to varying road surface conditions such as ice, snow, or dry pavement.
Solution Approach 2:
The system performs preliminary detection and assessment of both road conditions and driver intent before activating drift control. By evaluating multiple parameters in advance, the system ensures drift control is activated at the appropriate moment while adapting to current road conditions, rather than using fixed activation thresholds.
Data Source
AI summary
A custom drift control method includes: determining whether to enter a drift mode based on a drift mode activation condition; when the drift mode activation condition is satisfied, entering the drift mode; based on the entering the drift mode, receiving input information including at least one of an accelerator reaction speed level, an attitude control assist level, and road surface information from a user; and based on the input information, performing custom drift control.