EV Charging Station Reliability Indexing From Historical Fault Data
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Solution Overview
Problem
Electric vehicle charging stations often malfunction without clear error indicators, making it difficult for customers to determine their reliability, especially when traveling, as they may be offline or not communicate issues with the backend system.
Innovation Solution
A method and device for assessing the reliability of electric vehicle charging stations by calculating short-term and long-term reliability indices based on historical data, including offline time, fault percentage, and charge performance, to provide a comprehensive reliability assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If charging station monitoring is simplified to basic online/offline status, then system complexity is reduced, but reliability assessment accuracy deteriorates because stations may be online and communicating without sending error messages while still not operating properly
Solution Approach 1:
The reliability assessment is segmented into multiple dimensions: basic operational status (online/offline), communication status (error messages sent), and performance metrics (charging sessions completed, uptime percentage). This segmentation allows comprehensive assessment without requiring overly complex monitoring at each individual level.
Solution Approach 2:
The monitoring system serves multiple functions simultaneously: it tracks basic online status, monitors error communications, analyzes charging performance metrics, and generates reliability scores. This multi-functionality enables accurate reliability assessment using a unified monitoring framework rather than separate specialized systems.
2Measurement precision
If comprehensive historical data is collected for reliability assessment, then reliability assessment accuracy is improved, but data processing complexity and time consumption increase
Solution Approach 1:
Reliability indices are calculated and stored in advance for different time periods (e.g., 24-hour, 7-day, 30-day indices). When a customer queries charging station reliability, the pre-calculated indices are immediately available for comparison and assessment, eliminating the need for real-time historical data analysis.
Solution Approach 2:
The patent replaces complex real-time mechanical data processing with a database-driven information retrieval system. Historical charging data is stored in structured databases with pre-computed reliability metrics, allowing rapid querying and assessment without heavy computational processing at query time.
3Loss of information
If real-time monitoring of all charging station parameters is implemented, then reliability information accuracy is improved, but energy consumption and system resource usage increase
Solution Approach 1:
The monitoring system applies different levels of observation to different parameters: critical parameters (online status, error messages) are monitored continuously in real-time, while performance parameters (charging sessions, uptime) are assessed at intervals. This localized quality approach ensures accurate reliability information while minimizing continuous energy consumption.
Solution Approach 2:
Instead of continuous monitoring of all parameters, the system uses periodic assessments for certain metrics such as charging session completion rates and uptime calculations. This periodic action reduces energy consumption while maintaining sufficient accuracy for reliability assessment purposes.
Data Source
AI summary
It is an object to provide a charging station reliability assessment device and a charging station reliability assessment method. According to an embodiment, a method comprises obtaining a history information of an electric vehicle, EV, charging station. A first and a second reliability index may be calculated based on the history information. Based on the first and the second reliability index, a third reliability index may be calculated. A method, a device, and a computer program product are provided.