Parking Space Selection for Energy-Optimized Temperature Control
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Solution Overview
Problem
Existing methods for rating and finding energy-optimized parking spaces are inefficient, as they often rely on individual evaluation of each parking space, which can lead to over-specification and are not adaptable to changing weather conditions, limiting the search area and increasing energy consumption in vehicles.
Innovation Solution
A method and system that provide collective parking area information based on vehicle parameters, allowing for the selection of a parking space within a specified area considering multiple vehicles' data, including weather conditions, vehicle types, and orientation, to optimize energy usage by choosing a location that minimizes the need for climate conditioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual parking spaces are evaluated separately, then detailed and accurate information is obtained, but the system complexity and computational requirements increase significantly
Solution Approach 1:
The patent combines individual parking space evaluations into a collective assessment by aggregating temperature data from multiple vehicles parked in the same area. Instead of evaluating each parking space independently with full computational resources, the system merges measurements from multiple sources to achieve accurate environmental characterization while reducing individual computational burdens.
Solution Approach 2:
The system utilizes the vehicles themselves as sensing devices, where each vehicle's temperature sensors contribute to the collective evaluation. The vehicles passively provide data about their thermal state, which the central system then aggregates to determine optimal parking areas, eliminating the need for dedicated sensing infrastructure.
2Loss of time
If the parking space search is restricted to a local area, then the search time is reduced, but the quality of the optimal parking space may deteriorate
Solution Approach 1:
The system performs preliminary evaluation of parking areas by aggregating temperature data from vehicles already parked in candidate locations. This advance assessment allows the navigation system to identify thermally favorable areas before the target vehicle arrives, enabling efficient routing decisions without extensive real-time searching.
Solution Approach 2:
The system uses feedback from temperature measurements of vehicles already parked in various locations to continuously refine its understanding of thermal conditions in different areas. This feedback mechanism allows the system to make informed decisions about optimal parking spaces based on accumulated empirical data rather than theoretical models.
3Area of stationary object
If weather data is used for area-level assessment, then the evaluation coverage is improved, but the precision for individual parking space evaluation decreases
Solution Approach 1:
The system enhances area-level weather data with local microclimate measurements from individual vehicles parked in specific locations. By combining broad weather patterns with localized temperature readings from multiple vehicles, the system achieves both wide coverage and high precision for individual parking space evaluation.
Data Source
AI summary
A method collectively and yet individually assesses a parking area and locates a parking space which is energy-optimized with respect to a temperature control. A correspondingly equipped parking system carries out the method.