Vehicle Ventilation Control via Forward Emission Prediction
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Solution Overview
Problem
Drivers face challenges in manually controlling vehicle ventilation systems to prevent the intake of high concentrations of emissions, as these emissions are often invisible and vary constantly, making it difficult to react in time to switch to recirculate mode.
Innovation Solution
A computing system that estimates characteristics of emissions from forward vehicles within a predetermined travel distance and automatically controls the vehicle's ventilation system based on these estimates, using sensors and emissions flow modeling to determine when to open, close, or adjust the ventilation intakes and impeller.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual control of ventilation system is used, then driver can control intake, but driver cannot react in time to switch to recirculate mode due to invisible and constantly varying emissions
Solution Approach 1:
The system performs preliminary action by predicting emissions characteristics before the vehicle actually encounters them. The computing system uses sensor data from forward vehicles and emissions flow modeling to anticipate high-concentration emission zones ahead, allowing the ventilation system to switch to recirculate mode in advance, thus resolving the timing issue of manual reaction.
Solution Approach 2:
The system introduces an intermediary computing system that acts as a mediator between the invisible emissions and the driver's control decisions. This computing system processes sensor data, models emissions flow, and automatically controls the ventilation system, eliminating the need for the driver to directly detect and respond to invisible emissions.
2Reliability
If manual control of ventilation system is used, then driver can adjust intake, but driver cannot prevent intake of high concentrations of emissions due to constant variation in emission concentrations
Solution Approach 1:
The ventilation system performs self-service by automatically monitoring and adjusting itself based on predicted emissions conditions. The computing system continuously analyzes sensor data from forward vehicles and autonomously controls the ventilation system without requiring manual driver intervention, ensuring reliable prevention of emissions intake while simplifying operation.
Solution Approach 2:
The system implements feedback by continuously monitoring sensor data from forward vehicles and using this information to adjust ventilation system control. The computing system processes real-time data about forward vehicle emissions and automatically modifies ventilation settings, creating a closed-loop control system that adapts to changing emission conditions.
3Reliability
If automated control system is implemented, then emissions intake is reduced effectively, but system complexity increases with sensors and modeling requirements
Solution Approach 1:
The computing system performs multiple functions using a single integrated platform: it processes sensor data from forward vehicles, executes emissions flow modeling, predicts emission concentrations, and controls the ventilation system. This multi-functionality reduces overall system complexity compared to having separate dedicated systems for each function.
Solution Approach 2:
The system uses copying by creating a virtual model of emissions flow through computational modeling rather than requiring complex physical sensors throughout the ventilation system. The emissions flow model replicates the behavior of actual emissions, allowing the system to predict and respond to emission conditions using simplified computational representations.
Data Source
AI summary
A computing system for a vehicle is provided. The computing system includes one or more processors for controlling operation of the computing device, and a memory for storing data and program instructions usable by the one or more processors, wherein the one or more processors are configured to execute instructions stored in the memory to estimate at least one characteristic of emissions from at least one forward vehicle expected to enter a ventilation system of an ego-vehicle within a predetermined travel distance ahead of the ego-vehicle and, responsive to one or more estimated characteristics, control the ego-vehicle ventilation system.