EV Charging Station Evaluation Using Historical Charging Records
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for electric vehicles lack an efficient method to evaluate and display reliable information about charging stations, particularly in determining the availability and reliability of charging stations based on historical charging data.
Innovation Solution
An information processing system that includes a map database for storing charging station information and a charging record database to store records of successful charging events, calculating an evaluation value for each station based on recent charging records, and displaying this information to users through a terminal, allowing for the filtering of results by region and time period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If charging station information is displayed without evaluation, then all charging stations are shown to users, but the reliability and usefulness of the information is low
Solution Approach 1:
The system performs preliminary evaluation of charging stations by calculating evaluation values based on historical charging records before displaying information to users. This advance processing ensures that only reliably evaluated charging station information is presented, improving information quality while maintaining completeness.
Solution Approach 2:
The system implements a feedback mechanism where charging records are continuously collected and used to update evaluation values. This feedback loop ensures that the most current and accurate charging success rate information is reflected in the displayed evaluation values, enhancing reliability without losing information.
2Measurement precision
If all charging records are processed, then complete charging data is analyzed, but processing time and computational resources increase
Solution Approach 1:
The system processes charging records selectively by focusing on the most relevant data points needed for evaluation. Rather than exhaustively analyzing every possible parameter, it calculates evaluation values based on essential charging success indicators, achieving sufficient accuracy with reduced processing time.
Solution Approach 2:
The system transforms raw charging record data into simplified evaluation values that capture the essential information needed for user decision-making. By changing the parameter representation from detailed records to aggregated evaluation scores, it maintains measurement precision while significantly reducing processing time.
3Ease of operation
If charging stations are selected without evaluation criteria, then user choice is maximized, but finding reliable charging stations becomes difficult
Solution Approach 1:
The system segments charging station information by incorporating evaluation values alongside location data. This segmentation allows users to easily distinguish between charging stations of different reliability levels, making selection easier while preserving complete information about each station's performance.
Solution Approach 2:
The system uses visual differentiation through evaluation values to highlight the reliability status of charging stations. By presenting evaluation information in a visually distinct format, users can quickly identify reliable charging stations without losing access to complete station information, thereby easing the selection process.
Data Source
AI summary
An information processing apparatus includes a map information storage, a charging record information storage, and a processor. The map information storage is configured to store map information including a location of a charging station to charge a battery of an electric vehicle. The charging record information storage is configured to store charging record information indicating whether or not it has been possible to charge the battery. The processor is programed to calculate an evaluation value based on the charging record information.