EV Charging Server Preference Matching System
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Solution Overview
Problem
Existing methods for providing information to electric vehicle users during charging time are insufficient, as they only offer basic information about charging facilities and surrounding amenities, failing to assist users in selecting facilities that align with their interests or preferences.
Innovation Solution
A system and method that utilizes a server to select and provide information about charging facilities and surrounding amenities based on user location, preferences, and interests, including advertisements and coupons, to enhance user experience and convenience during charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If only basic information about charging facilities and surrounding amenities is provided, then the information system remains simple, but users cannot select facilities that align with their interests or preferences
Solution Approach 1:
The system performs preliminary actions by collecting user preference information in advance and pre-processing advertisement data from surrounding facilities. When a charging session is initiated, the system quickly matches pre-collected user preferences with relevant advertisements, avoiding the need for complex real-time processing and enabling personalized recommendations without significant system complexity
Solution Approach 2:
Advertisements from surrounding facilities serve as an intermediary mechanism that bridges user preferences and facility recommendations. Instead of implementing a complex recommendation engine, the system uses pre-prepared advertisements containing facility information, user benefits, and promotional content as the intermediary layer that delivers personalized information efficiently
2Loss of information
If detailed information and advertisements for surrounding facilities are provided, then users can effectively select facilities matching their interests, but the information provided becomes more complex and harder to process
Solution Approach 1:
The system applies local quality by tailoring information content to specific user contexts. Advertisements are customized based on user preferences, charging facility location, and surrounding amenities. Each user receives locally optimized information relevant to their specific situation rather than generic comprehensive data, reducing processing complexity while maintaining information completeness
Solution Approach 2:
Information is segmented into distinct components: charging facility information, surrounding amenity descriptions, user preference data, and targeted advertisements. This segmentation allows the system to process and manage complex information in modular units, making it easier to handle and deliver personalized content without overwhelming system complexity
3Loss of time
If users are provided with advertisements for surrounding facilities during charging, then users can effectively utilize charging time, but the charging process becomes more commercialized
Solution Approach 1:
The system converts the potentially harmful effect of commercialization during charging into a beneficial outcome. By providing targeted advertisements for surrounding facilities, the charging time that would otherwise be purely waiting time is transformed into an opportunity for users to discover and visit nearby amenities. The commercial elements become a means to enhance user experience and effective time utilization rather than mere interruptions
Data Source
AI summary
A plurality of charging stations and a plurality of commercial facilities where a user of a vehicle can stay during charging in one of the plurality of charging stations are provided. An information providing method for the vehicle includes: causing a charging server to select a plurality of candidates from among the plurality of charging stations in accordance with location information about each of the vehicle and the plurality of commercial facilities; causing the charging server to provide a car navigation device with information showing the plurality of candidates selected; causing the server to deliver an advertisement for a commercial facility associated with each of the plurality of candidates selected; and causing the charging server to receive information about a candidate selected with the car navigation device from among the plurality of candidates by the user referring to the advertisement.