Connected Vehicle Weather Estimation During Sensor Cold Starts
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Solution Overview
Problem
Current vehicle weather condition systems provide inaccurate data during cold starts, especially in extreme temperatures, as onboard sensors take time to acclimate, and struggle to determine weather conditions at unknown locations without actual data from sensors or external sources.
Innovation Solution
A system and method using a computer processor to collect data from onboard sensors and external sources, building a temporal-spatial effectiveness model to estimate weather conditions, filtering data during cold starts by comparing it with known locations' data, and predicting acclimation delay based on vehicle speed, while communicating with other vehicles and weather sources via wireless networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If onboard vehicle sensors are used to determine weather conditions during cold start, then the system can provide weather data immediately, but the data will be inaccurate until sensors acclimate to external conditions
Solution Approach 1:
The system performs preliminary actions by collecting weather data from multiple external sources (weather services, nearby vehicles, roadside units) before the onboard sensors can provide accurate readings. This allows the system to have accurate weather information available during the cold start period when onboard sensors are still acclimating to external conditions.
Solution Approach 2:
The system introduces intermediary data sources between the onboard sensors and the final weather determination. These intermediaries include external weather services, data from nearby connected vehicles, and roadside weather monitoring units, which provide accurate weather information that mediates the inaccuracy of cold-start onboard sensors.
2Measurement precision
If onboard sensors are used in extreme temperatures, then the system can measure weather conditions, but the sensors provide exaggerated or inaccurate data due to overheating or extreme cold
Solution Approach 1:
External weather data sources serve as intermediaries that are not affected by the extreme temperatures impacting onboard sensors. These external sources provide accurate reference weather conditions that can be used to validate, correct, or replace sensor readings when extreme temperature effects are detected.
Solution Approach 2:
The system uses feedback from multiple external weather sources to continuously validate and correct onboard sensor readings. When discrepancies are detected between sensor data and external sources (indicating sensor impairment from extreme temperatures), the system adjusts or replaces the sensor data with more accurate external measurements.
3Measurement precision
If data from multiple connected sources is collected and processed, then weather conditions at unknown locations can be estimated accurately, but the system complexity increases
Solution Approach 1:
The system implements a universal data processing architecture that handles multiple data sources (weather services, connected vehicles, roadside units) through a common framework. This multi-functional approach allows the same processing logic to be applied regardless of the data source, simplifying the overall system complexity while maintaining the ability to estimate weather conditions at unknown locations accurately.
Data Source
AI summary
A system for providing weather conditions to a target vehicle includes a plurality of sensors mounted within the target vehicle adapted to measure weather conditions at the target vehicle and a computer processor adapted to collect data of weather conditions at the target vehicle from the plurality of sensors mounted within the target vehicle, collect data of measured weather conditions of at least one known location remote from the target vehicle, and build a temporal-spatial effectiveness model adapted to estimate weather conditions of at least one unknown location remote from the target vehicle using the data of weather conditions at the target vehicle and the data of measured weather conditions of the at least one known location remote from the target vehicle.