EV Reservation Screening for Accommodation Charging Gaps
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Solution Overview
Problem
Existing online vehicle reservation systems fail to account for whether rented electric vehicles will require charging during a trip and whether selected accommodations provide charging facilities, leading to situations where electric vehicles run out of charge unexpectedly.
Innovation Solution
A system that uses processors and memory to curate online vehicle reservations by determining if a selected electric vehicle will require charging based on trip duration and comparing this data to accommodation information, generating a warning or preventing the reservation if charging facilities are not available.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system monitors and curates vehicle and accommodation reservations to ensure charging availability, then the reliability of electric vehicle rentals is improved, but the device complexity increases
Solution Approach 1:
The system merges vehicle reservation data and accommodation reservation data into a single integrated analysis process. By combining these previously separate reservation streams, the system can simultaneously evaluate charging needs against accommodation charging availability, resolving the contradiction through data integration rather than adding separate monitoring systems.
Solution Approach 2:
The system performs multiple functions using a single platform: it monitors vehicle reservations, monitors accommodation reservations, determines vehicle type (electric or not), calculates charging requirements, checks accommodation charging facilities, and generates warnings. This multi-functional approach improves reliability without proportionally increasing device complexity.
2Reliability
If the system integrates vehicle and accommodation reservation monitoring to prevent battery depletion, then the reliability of electric vehicle rentals is improved, but the ease of operation deteriorates
Solution Approach 1:
The system automatically performs the entire analysis process without requiring user intervention. It self-monitors both reservations, self-determines charging needs, self-checks accommodation facilities, and self-generates warnings. This automation maintains ease of operation while achieving improved reliability through comprehensive monitoring.
Solution Approach 2:
The system provides feedback to users through warnings when a mismatch is detected between vehicle charging needs and accommodation charging availability. This feedback mechanism guides users to make appropriate reservation choices without complicating the booking process, thereby maintaining ease of operation while improving reliability.
3Reliability
If the system performs comprehensive data analysis to determine charging requirements, then the reliability of electric vehicle rentals is improved, but the loss of time increases
Solution Approach 1:
The system performs the charging requirement analysis and accommodation compatibility check in advance, before the user finalizes their reservation. By conducting this comprehensive data analysis preliminarily, the system ensures reliability without causing time loss during the actual booking or trip execution phases.
Solution Approach 2:
The system efficiently processes the comprehensive data analysis by skipping unnecessary intermediate steps. It directly compares vehicle charging requirements with accommodation charging facilities using automated algorithms, rushing through the analysis process to minimize time loss while maintaining high reliability through thorough evaluation.
Data Source
AI summary
Disclosed embodiments may include a system for curating online vehicle reservations. The system may determine, from received vehicle data including first timing data and indicating a selected vehicle, that the selected vehicle is electric. The system may receive accommodation data including second timing data and indicating a selected accommodation. The system may determine, from comparing the first timing data to the second timing data, that the selected vehicle will likely require charging at the selected accommodation. The system may determine whether the accommodation data includes an indication of electric vehicle charging facilities. Responsive to determining that the selected accommodation does not provide the indication of electric vehicle charging facilities, the system may generate a first graphical user interface warning that no charging station is available for the selected vehicle at the selected accommodation and transmit the first graphical user interface to a user device for display.