Vehicle Comfort Estimation Using Multi-Axis Motion Feedback
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Solution Overview
Problem
The driving comfort experienced by passengers in vehicles, particularly in public transportation, is significantly affected by the driving style and road conditions, necessitating a cost-effective and optimized method to evaluate and maintain high comfort levels during trips.
Innovation Solution
A method involving a vehicle system with sensors to detect longitudinal, lateral, and vertical accelerations, an electronic control unit to process these data, and a driver interface to provide real-time feedback, allowing for the estimation of passenger comfort and adjustment of driving style.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive sensor systems and complex processing algorithms are deployed to accurately evaluate driving comfort, then measurement precision and reliability improve, but device complexity and cost increase
Solution Approach 1:
The patent segments the driving comfort evaluation into three independent acceleration components (longitudinal, lateral, and vertical) measured by separate sensors. Each component is processed independently through specific algorithms, allowing the system to achieve comprehensive measurement precision while maintaining manageable device complexity through modular architecture
Solution Approach 2:
The electronic control unit serves multiple functions: it processes data from three different sensors, applies multiple evaluation algorithms for different acceleration components, and generates comprehensive comfort scores. This multi-functionality consolidates what would otherwise require separate dedicated systems, improving measurement precision without proportionally increasing device complexity
2Productivity
If real-time feedback systems are implemented to continuously monitor and alert drivers about comfort levels, then driving comfort improvement is enhanced, but use of energy and device complexity increase
Solution Approach 1:
The patent implements a feedback mechanism where the electronic control unit continuously monitors acceleration data, evaluates comfort levels, and provides real-time alerts to the driver through visual or audible signals. This feedback loop enables continuous comfort improvement without requiring constant high-energy processing, as the system only activates alerts when comfort thresholds are exceeded
Solution Approach 2:
The system performs comfort evaluations at periodic intervals based on acceleration data sampling rather than continuous processing. The electronic control unit processes motion data at specific sampling rates and triggers feedback only when necessary, reducing overall energy consumption while maintaining effective real-time monitoring and comfort improvement
Data Source
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AI summary
A computer-implemented method is provided for estimating the driving comfort of a vehicle (3). The method comprises: receiving motion data representing one or more quantities acquired by a detection system (10) of the vehicle during driving of the vehicle, the one or more quantities being indicative of at least one of a vertical acceleration (Aver), a lateral acceleration (Alar) and a longitudinal acceleration (Alon) of the vehicle during driving; and estimating the driving comfort of the vehicle, based on the motion data.