EV Charging Station Reliability Evaluation Using Charging History
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Solution Overview
Problem
Electric vehicle charging stations may fail to charge vehicles due to equipment failures, making it difficult for users to find reliable charging points.
Innovation Solution
An information processing system that evaluates charging stations by analyzing historical charging data to provide an evaluation value indicating the likelihood of successful charging, using a database to store charging station information and record charging events, and communicating this information to users through a terminal for navigation and route guidance.
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 users cannot identify reliable charging stations and may waste time on failed charging attempts
Solution Approach 1:
The system performs preliminary evaluation of charging stations by analyzing historical charging data before users attempt charging. Evaluation values are calculated in advance based on past charging success/failure records, and this evaluation information is stored and provided to users before they make charging decisions, allowing them to select reliable stations without wasting time on failed attempts
Solution Approach 2:
The system collects actual charging results (success/failure) from users after charging attempts and feeds this information back to recalculate and update evaluation values for charging stations. This continuous feedback loop ensures that the evaluation information reflects current reliability status, helping users make informed decisions while improving the overall accuracy of the evaluation system
2Reliability
If charging station evaluation is implemented, then users can identify reliable charging stations, but the system complexity increases due to data collection and analysis requirements
Solution Approach 1:
The system automatically collects charging data from various sources (charging stations, user terminals, navigation devices) and performs evaluation calculations without requiring manual intervention. The evaluation process is self-executing, using automated data processing algorithms to analyze charging records and generate evaluation values, thereby reducing the need for complex manual monitoring and management systems
Solution Approach 2:
The information processing system serves multiple functions: it collects charging data, calculates evaluation values, stores evaluation information, provides it to users, and updates based on feedback. By consolidating these diverse functions into a single multi-functional system, the patent avoids the need for separate specialized systems for each function, thereby managing complexity while achieving comprehensive charging station evaluation
3Measurement precision
If detailed charging history is analyzed, then more accurate evaluation values are obtained, but data processing time and computational resources increase
Solution Approach 1:
The system extracts only the essential elements needed for evaluation from the complete charging history data, such as charging success/failure outcomes, time stamps, and station identifiers. By focusing on these critical data points rather than processing every detail of charging history, the system achieves accurate evaluation while minimizing data processing time and computational resource requirements
Data Source
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AI summary
An evaluation value indicating a charging station capable of charging an electric vehicle by a relatively simple method is acquired. Included are: a map DB configured to store map information including a location of a charging station configured to charge a battery of an electric vehicle; a charging record information DB configured to store charging record information indicating whether or not it has been possible to charge the battery; and an evaluation value calculation unit configured to calculate an evaluation value based on the charging record information.