Driving Data Tire Selection for Road Type Matching
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Solution Overview
Problem
Existing tire selection methods often recommend tires based on expected driving conditions rather than actual usage, leading to reduced fuel efficiency and tire lifespan due to mismatched tire types and surfaces.
Innovation Solution
A method utilizing electronic devices in vehicles to collect driving data, determine road type usage, and form a road type driving profile to select the most suitable tire from a database based on actual driving habits, considering factors like road types, durability, and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If tires are selected based on expected driving conditions, then the selection process is simple and quick, but the tire may not be suitable for actual usage leading to reduced fuel efficiency and lifespan
Solution Approach 1:
The system collects and analyzes driving data preliminarily to establish a driving profile before tire selection is made. This preliminary action of gathering actual driving information (road types, distances, conditions) enables more accurate tire matching while maintaining efficient selection through automated processing
Solution Approach 2:
The system uses feedback from actual driving data collected from the vehicle to continuously improve tire selection accuracy. By monitoring real driving patterns and comparing them with expected conditions, the system adjusts tire recommendations to better match actual usage, improving both suitability and fuel efficiency
2Device complexity
If tires are selected based on expected driving patterns, then the selection process requires minimal data collection, but fuel efficiency and tire lifespan are reduced due to mismatch
Solution Approach 1:
The vehicle's existing electronic devices and sensors self-generate the driving data needed for tire selection without requiring additional external measurement equipment. The vehicle's own operational data (position, speed, road type) is utilized to create the driving profile, eliminating the need for complex external data collection systems while improving fuel efficiency through better tire matching
3Ease of operation
If tires are selected based on expected driving conditions, then the system is simple to operate, but tire lifespan is reduced due to improper tire-road matching
Solution Approach 1:
The manual judgment process for tire selection is replaced with an automated electronic system that processes driving data and generates tire recommendations. This substitution maintains ease of operation through automated decision-making while significantly improving tire lifespan by ensuring proper tire-road matching based on actual driving patterns rather than subjective assessment
Data Source
AI summary
There is disclosed a method, for determining a suitable tire for use on a vehicle, wherein the vehicle comprises an electronic device capable of collecting driving data relating to the driving of the vehicle. The method comprises obtaining driving data (18), from the electronic device, relating to the driving of the vehicle, and determining, from the driving data, an amount of driving performed on at least one of a plurality of different road types (20). The method further comprises forming a road type driving profile (22) comprising one or more road types and the associated determined amount of driving performed thereon and selecting, from a plurality of different tires, a suitable tire (24) for the vehicle based on at least the road type driving profile.