Autonomous Parking Spot Selection for Battery Temperature Control
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Solution Overview
Problem
Existing autonomous parking systems often fail to select optimal parking locations for vehicles, particularly in terms of temperature and sunlight exposure, which can affect battery capacity, vehicle range, and passenger comfort.
Innovation Solution
A method and system that utilizes sensors and a processor to select parking spots based on temperature and light intensity data, choosing shaded spots when it's hot and sunny, and sunny spots when it's cold, to maximize rechargeable energy storage system capacity, vehicle range, and passenger comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If autonomous parking systems select any available parking spot, then parking maneuver is completed, but battery capacity and vehicle range are not optimized
Solution Approach 1:
The system changes the selection criteria parameters from simple availability to include environmental factors (temperature, sunlight exposure) that affect battery performance. The processor evaluates multiple parameters simultaneously to select optimal parking locations that maximize battery capacity preservation.
Solution Approach 2:
The system performs preliminary evaluation of parking spots before the vehicle parks, analyzing environmental conditions and predicting their impact on battery capacity. This advance assessment allows the vehicle to select the most beneficial parking location before committing to the maneuver.
2Use of energy by moving object
If autonomous parking systems select any available parking spot, then parking maneuver is completed, but vehicle range is not optimized
Solution Approach 1:
The system incorporates environmental parameters (sunlight exposure, temperature) into the parking spot evaluation criteria. These parameters directly influence vehicle range predictions, allowing the system to select locations that maximize energy efficiency and extend vehicle range.
Solution Approach 2:
The system uses sensor data and environmental information to provide feedback on potential parking spot quality. This feedback loop enables the processor to compare multiple locations and select the one that optimizes vehicle range based on real-time conditions.
3Object-affected harmful factors
If autonomous parking systems select any available parking spot, then parking maneuver is completed, but passenger comfort is not optimized
Solution Approach 1:
The system changes the evaluation parameters to include passenger comfort factors such as temperature and sunlight exposure. The processor weighs these environmental parameters when selecting parking spots, ensuring optimal conditions for passenger comfort are prioritized.
Solution Approach 2:
The system applies different selection criteria to different parking locations based on their local environmental qualities. Each parking spot is evaluated according to its specific characteristics (shaded vs. sunny, temperature levels) to determine which location provides the best passenger comfort.
Data Source
AI summary
In an embodiment, a method is provided that includes receiving a request for autonomous parking of a vehicle; upon receiving the request, obtaining information as to a plurality of potential parking spots, including as to their respective effects on a temperature of the vehicle; selecting, via a processor of the vehicle, one of the plurality of potential parking spots as a selected parking spot for the vehicle, based on the information, including the respective effects on the temperature of the vehicle; and autonomously parking the vehicle in the selected parking spot, in accordance with instructions provided by the processor.