EV Charge Point Diagnostics During Vehicle Charging
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Solution Overview
Problem
Current electric vehicle charging infrastructure lacks the capability to perform service checks on electric vehicles simultaneously with the charging process, which can lead to inefficiencies and potential maintenance issues.
Innovation Solution
The integration of EV charge points with communication links to server computers, enabling automated inspections and data analytics during the charging process to evaluate the condition of electric vehicles and their critical components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If EV charge points only perform charging function, then charging capability is simple and reliable, but service checking capability is lacking导致maintenance issues
Solution Approach 1:
The EV charge point is designed to perform multiple functions: charging the vehicle battery and conducting service inspections simultaneously. The system includes interfaces to access vehicle data, communication links to transmit data to servers, and displays to present inspection results, enabling one device to serve both charging and diagnostic purposes.
Solution Approach 2:
The patent combines the charging function and inspection function into a single integrated system. The charge point hardware is merged with data acquisition interfaces, communication capabilities, and result display mechanisms, allowing simultaneous execution of charging and diagnostic tasks without requiring separate standalone devices.
2Productivity
If service checks are performed separately from charging, then inspection thoroughness is improved, but time efficiency deteriorates
Solution Approach 1:
The system enables continuous useful action by performing service inspections continuously during the charging process. While the vehicle battery is being charged, the charge point simultaneously accesses vehicle data through interfaces, transmits it to servers for analysis, and generates inspection reports, maximizing the utilization of charging time without interrupting either operation.
Solution Approach 2:
The system performs preliminary inspections during routine charging operations, identifying potential issues before they become critical problems. By continuously monitoring vehicle data during charging, the system can detect early signs of component degradation or failures, allowing preventive maintenance to be scheduled before actual breakdowns occur.
3Measurement precision
If automated data analytics are implemented, then inspection accuracy is improved, but system complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary between the charge point and the data analysis process. The charge point collects vehicle data through interfaces and transmits it via communication links to external servers that perform the complex analytics. This intermediary approach allows sophisticated data processing without significantly increasing the complexity of the charge point hardware itself.
Solution Approach 2:
The system replaces complex local mechanical inspection systems with electronic data acquisition and remote digital analysis. Instead of requiring complex onboard diagnostic equipment at the charge point, the solution uses electronic interfaces to extract vehicle data and substitutes local computational complexity with remote server-based analytics, achieving high measurement precision with distributed system architecture.
Data Source
AI summary
Various embodiments of the teachings herein include systems for managing electric vehicle charging and servicing. An example comprises: an EV charge point comprising: an output to supply electric charging power to an electric vehicle from an electricity supply unit, an interface to get vehicle data from the electrical vehicle, and a communication link to deliver the vehicle data to the server computer; and a server computer to receive the vehicle data from the EV charge point. The server computer is further configured to carry out automated inspections by applying advanced automatic data analytics to the vehicle data to evaluate conditions of the electric vehicle or of critical components of the electric vehicle during the charging process for the electric vehicle.