Vehicle Cabin Climate Control Using Route and User Attributes
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Solution Overview
Problem
Current vehicle climate comfort systems fail to dynamically adjust temperature and air velocity settings based on the attributes of a planned travel route and user-specific factors, such as demographic information and anxiety levels, leading to suboptimal passenger comfort.
Innovation Solution
A method and system that utilize a combination of a Global Positioning System (GPS), a group identity database, and controllers to determine a climate control set-point by analyzing the planned travel route, demographic information, and anxiety levels, adjusting temperature and air velocity settings in real-time to enhance cabin comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If climate control settings are adjusted based on multiple user-specific factors and route attributes, then passenger comfort is improved, but system complexity increases
Solution Approach 1:
The system segments the climate control adjustment process into distinct functional modules: route attribute analysis module, user profile module, anxiety level detection module, and climate control execution module. Each module handles a specific aspect of the overall function, making the complex system manageable and maintainable while achieving high adaptability to different users and routes.
Solution Approach 2:
The system integrates multiple functions into a single climate control system: route analysis, user authentication, anxiety detection through biometric sensors, and climate parameter adjustment. This multi-functional approach reduces the need for separate systems while increasing adaptability to different user needs and travel conditions.
2Adaptability or versatility
If real-time adjustments are made based on anxiety levels and route attributes, then passenger comfort is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic monitoring and adjustment cycles rather than continuous operation. Anxiety levels and route attributes are evaluated at predetermined intervals or at key transition points during the journey, allowing the system to maintain real-time adaptability while reducing energy consumption by keeping sensors and processing units in low-power states between measurement cycles.
Solution Approach 2:
The system performs preliminary analysis of route attributes before the journey begins and pre-calculates optimal climate settings based on predicted anxiety levels. This allows the system to prepare climate control parameters in advance, reducing the need for intensive real-time processing and energy-consuming continuous adjustments during the actual travel.
3Measurement precision
If multiple data sources are integrated for determining climate set-points, then accuracy of comfort optimization is improved, but information processing complexity increases
Solution Approach 1:
The system introduces a centralized data fusion module that acts as an intermediary between multiple data sources (route attributes, user profiles, biometric sensors) and the climate control decision-making process. This intermediary module standardizes data formats, filters redundant information, and synthesizes inputs into unified climate parameters, reducing processing complexity while maintaining high accuracy in comfort optimization.
Solution Approach 2:
The system implements self-calibration and automatic weighting of data sources based on their reliability and relevance to current conditions. The data fusion module automatically adjusts the influence of different data sources without manual intervention, selecting and weighting inputs dynamically based on the specific travel context, which simplifies the processing of multiple data sources while maintaining optimization accuracy.
Data Source
AI summary
Systems and methods are disclosed for supporting and executing automated control of climate comfort settings based on user classification within a group identity database. Methods of generating and employing the group identity database are also disclosed.