EV Charging Communication Adaptation for EVSE Non-Conformance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Interoperability issues arise between electric vehicles (EVs) and EV supply equipment (EVSE) due to non-compliance with communication standards, requiring specialized testing equipment and highly trained technicians for effective troubleshooting.
Innovation Solution
Equipping EVs with controller equipment that includes programmable logic in the EV communication controller (EVCC) to diagnose and adapt to communication standard non-conformance, allowing self-diagnosis and dynamic logic adaptation to handle errors, reducing the need for specialized equipment and trained technicians.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If specialized testing equipment and highly trained technicians are used to troubleshoot interoperability issues, then diagnostic accuracy and reliability are improved, but device complexity and operational costs increase
Solution Approach 1:
The EVCC performs self-diagnosis of communication errors by automatically comparing received messages against the communication standard schema, eliminating the need for external specialized testing equipment and technicians while maintaining high diagnostic accuracy
Solution Approach 2:
The system implements a feedback mechanism where the EVCC logs communication errors, analyzes them against the standard, and uses the diagnostic results to dynamically adapt its communication logic, creating a self-improving system that reduces reliance on external expertise
2Difficulty of detecting and measuring
If specialized testing equipment and highly trained technicians are deployed for troubleshooting, then error detection capability is improved, but loss of time and operational efficiency worsen
Solution Approach 1:
The EVCC is pre-configured with the communication standard schema and error detection logic before operation, enabling immediate automated diagnosis upon error occurrence without requiring time-consuming setup of specialized equipment or deployment of trained technicians
Solution Approach 2:
The system performs automatic real-time monitoring and self-diagnosis of communication errors, eliminating the time delay associated with manual intervention by specialized personnel while maintaining high error detection capability
3Device complexity
If the EVCC uses fixed communication logic, then device complexity is reduced, but adaptability to non-compliant EVSE deteriorates
Solution Approach 1:
The EVCC transitions from fixed logic to dynamic adaptive logic that can modify its communication behavior based on detected non-compliance patterns, allowing the system to adapt to various EVSE implementations while maintaining manageable complexity through standardized adaptation mechanisms
Solution Approach 2:
The system adapts to non-compliant EVSE by dynamically changing communication parameters such as message formatting, timing, and interpretation rules based on the detected deviation from the standard, enabling versatility without requiring complete redesign of the controller architecture
4Measurement precision
If manual troubleshooting by trained technicians is performed, then diagnostic precision is improved, but productivity and operational efficiency deteriorate
Solution Approach 1:
The EVCC automatically performs precise diagnostic analysis of communication errors by comparing messages against the standard schema and generating detailed error reports, achieving the same diagnostic precision as trained technicians while eliminating the time loss and productivity reduction associated with manual intervention
Solution Approach 2:
The system implements automated feedback loops that continuously monitor communication quality, detect deviations, and adjust communication parameters in real-time, maintaining high diagnostic precision while enabling parallel charging sessions and improving overall system throughput
Data Source
AI summary
Controller equipment for an electric vehicle (EV) comprises an EV communication controller (EVCC) configured with programmable logic that controls communication between the EV and an electric vehicle supply equipment (EVSE). The controller equipment performs a diagnostic process to (i) diagnose a charging session error as being caused by non-conformance of communication between the EV and the EVSE to a governing standard; and (ii) determine a criticality of and/or a suggested fix for the non-conformance. The results of the diagnostic process may be provided to a user or control unit, so that the user or control unit can provide the controller equipment with instructions on how to handle the non-conformance. The controller equipment then dynamically adapts the programmable logic of the EVCC to handle the non-conformance, e.g., according to instructions received from the user or control unit.


