EV Charging Workflow Policies for Non-Critical Anomaly Handling
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Solution Overview
Problem
Existing electric vehicle charging infrastructure faces interoperability issues due to fragmented components and user interaction mismatches, leading to frequent charging cancellations despite testing efforts, as standardization and user behavior variability complicate seamless charging operations.
Innovation Solution
An electric vehicle charging infrastructure system with a policy configurator and master event processor that adapts workflows dynamically based on event data from human-machine interface, payment subsystem, and charging subsystem, enabling flexible and automated policy adjustments to handle non-critical anomalies, ensuring successful charging operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static workflow is implemented in the charging infrastructure, then the system structure is simple and easy to implement, but it cannot adapt to varying user behaviors and leads to charging cancellations
Solution Approach 1:
The patent implements a dynamic workflow system where the master event processor can adjust the charging workflow in real-time based on user actions and system events. Instead of a fixed static sequence, the workflow adapts dynamically to handle various user behaviors and anomaly scenarios, resolving the contradiction between adaptability and complexity by making the system flexible rather than rigid.
Solution Approach 2:
The system incorporates feedback mechanisms where the master event processor continuously monitors events from the HMI, payment subsystem, and charging subsystem. Based on this feedback, the system adjusts the workflow dynamically, allowing it to adapt to user behaviors and correct anomalies while maintaining a manageable system structure through event-driven control.
2Reliability
If extensive testing is performed on charging scenarios, then interoperability issues are reduced, but not all scenarios can be tested reliably and charging cancellations still occur
Solution Approach 1:
The system performs preliminary anomaly detection and classification before charging cancellations occur. The master event processor identifies non-critical anomalies early in the workflow and applies corrective actions proactively, preventing charging failures rather than relying solely on extensive pre-testing of all possible scenarios.
Solution Approach 2:
The system changes operational parameters dynamically based on detected anomalies. Instead of requiring exhaustive testing of all parameter combinations, the system adjusts workflow parameters in real-time based on the specific anomaly detected, improving reliability without requiring comprehensive pre-testing of all possible scenarios.
3Adaptability or versatility
If each company defines their own backend-parameters within the standard, then customization and company-specific requirements are met, but compatibility issues and charging failures increase
Solution Approach 1:
The master event processor acts as an intermediary layer between the standardized charging protocol and company-specific backend parameters. It translates and coordinates between different parameter sets, allowing each company to maintain their custom parameters while ensuring interoperability through the mediating event processing layer that harmonizes the interactions.
Data Source
AI summary
An electric vehicle charging infrastructure is provided which includes an electric vehicle supply equipment (EVSE) for charging an electric vehicle (EV) and a policy configurator. The EVSE includes a human-machine interface (HMI) for interacting with a user, a payment subsystem for processing payments, a charging subsystem for charging the EV, and a master event processor. The policy configurator is configures a policy set and for sending the policy set to the master event processor. The master event processor receives event data from the HMI and the payment subsystem and in response to the received event data, controls operation of the HMI and of the payment subsystem according to a workflow based on the policy set. The event data include at least one non-critical anomaly event, and the workflow specifies a respective action for enabling a charging operation in response to the at least one non-critical anomaly event.