Vehicle Start-Up Preparation Using User Location Sequence Data
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Solution Overview
Problem
Existing vehicle user identification systems lack convenience in determining user intent to use the vehicle, leading to potential waiting times and inefficient preparation for start-up.
Innovation Solution
A method that uses data indicative of a vehicle user's sequence of locations to determine their intent, allowing early preparation of the vehicle for start-up, including obtaining and analyzing location data from mobile devices, comparing it to historic or predefined patterns, and providing start-up instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the vehicle waits for the user to approach before preparing for start-up, then the system complexity is reduced, but the user convenience deteriorates due to waiting time
Solution Approach 1:
The system performs preliminary actions by analyzing the user's location sequence data to predict intent to use the vehicle before the user actually approaches. This allows the vehicle preparation (climate control, seat adjustments, etc.) to start in advance, eliminating waiting time when the user arrives at the vehicle.
2Ease of operation
If the vehicle prepares for start-up early based on location data, then user convenience is improved, but the device complexity increases due to additional data processing requirements
Solution Approach 1:
The system uses location sequence data as an intermediary indicator to infer user intent. Instead of requiring direct user input or complex biometric authentication, the system analyzes the pattern of location data (using the vehicle's location, approaching the vehicle, etc.) to determine when preparation should begin, simplifying the overall system architecture.
3Measurement precision
If the system continuously monitors user location to determine intent, then the accuracy of intent detection is improved, but the energy consumption increases
Solution Approach 1:
The system uses periodic location updates from the mobile device rather than continuous monitoring. The location data is obtained at regular intervals as the user moves, and this periodic information is sufficient to determine the user's intent to use the vehicle, reducing energy consumption compared to continuous tracking while maintaining detection accuracy.
Data Source
AI summary
A method for preparing a vehicle for start up is provided, including obtaining first data (D1) indicative of a sequence of locations of a vehicle user. The method also includes determining, based on the first data (D1), whether the vehicle user intends to use the vehicle. The method further includes providing second data (D2) indicative of a start up instruction for the vehicle based on a result of the determining. A method for starting up a vehicle is also provided, including obtaining the second data (D2) indicative of the start up instruction for the vehicle. The method also includes starting up the vehicle based on the second data (D2), wherein the starting up comprises at least one of starting up a data processing device of the vehicle, starting up a thermal management system of an energy storage of the vehicle, and adjusting at least one vehicle component in a cabin of the vehicle.