Track Driver Assistance Using Tyre Data and Lap Interventions
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Solution Overview
Problem
Drivers of high-performance vehicles often fail to harness the full potential of their vehicles due to lack of knowledge about the vehicle's capabilities and current driving conditions, leading to inefficient control, especially on tracks, and coaching by instructors is time-consuming and skill-dependent.
Innovation Solution
A method utilizing vehicle sensors to collect tyre operation and condition data during laps, determining interventions for the driver, such as adjustments in braking, acceleration, cornering, and steering, and communicating these interventions through displays or speakers to enhance vehicle control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If driving instructors coach drivers to improve vehicle control ability, then driver control ability is improved, but it is time consuming and expensive
Solution Approach 1:
The system enables drivers to self-improve by providing them with actionable feedback about their driving performance. The feedback system allows drivers to independently identify areas for improvement and adjust their driving style without requiring constant instructor intervention, thus reducing coaching time while maintaining improvement effectiveness.
Solution Approach 2:
The system implements a closed-loop feedback mechanism that continuously monitors driving parameters, compares them against optimal values, and provides real-time or post-drive feedback to the driver. This automated feedback replaces manual instructor feedback, enabling drivers to learn and improve more efficiently without the time constraints of scheduled coaching sessions.
2Ease of operation
If driving instructors coach drivers to improve vehicle control ability, then driver control ability is improved, but it is expensive
Solution Approach 1:
The system empowers drivers to independently improve their skills through automated feedback, eliminating the need for expensive instructor services. The driver becomes self-sufficient in identifying and correcting driving deficiencies, reducing dependency on paid coaching while achieving continuous improvement.
Solution Approach 2:
The patent replaces the mechanical system of human instructor-coach interaction with an automated electronic feedback system. Sensors, processors, and communication modules substitute for the instructor's expertise and time, providing scalable, cost-effective training without the recurring costs associated with hiring instructors.
3Ease of operation
If drivers use basic control methods, then driving is simple, but vehicle performance potential is not harnessed
Solution Approach 1:
The system provides targeted feedback on specific driving parameters rather than requiring complete restructuring of driving behavior. By focusing on partial improvements in specific areas (e.g., braking points, throttle application, steering inputs), the system enables performance gains without overwhelming the driver with complex changes, maintaining simplicity while enhancing performance.
Solution Approach 2:
The system identifies and communicates specific parameter adjustments that can improve performance, such as optimal braking force, acceleration rates, or cornering speeds. By translating complex performance optimization into simple parameter changes, the system allows drivers to extract more performance from their vehicles through minor adjustments rather than fundamental changes to driving style.
Data Source
AI summary
A method for assisting a driver in controlling a vehicle, the vehicle comprising a road wheel and at least one vehicle sensor configured to provide vehicle condition data, the road wheel comprising a tyre sensor configured to output tyre operation data, the method comprising: receiving tyre operation data from the tyre sensor during the vehicle being controlled along at least one lap of a track; receiving vehicle condition data from at least one vehicle sensor during the vehicle being controlled along at least one lap of the track; determining, based on the tyre operation data and vehicle condition data, an intervention the driver should make during a future lap of the track; and communicating the intervention to the driver.