EVSE Charging Profiles Using Field Data for Vehicle-Type Adaptation

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Solution Overview

Problem

Existing electric vehicle supply equipment (EVSE) systems lack the ability to adapt charging profiles to the specific vehicle type, ambient conditions, and external factors, leading to suboptimal charging performance.

Innovation Solution

The method involves collecting EVSE field data from multiple charging processes, identifying the vehicle type, and configuring a customized vehicle charging profile using machine learning to adjust charge curve parameters, and operating the EVSE accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a fixed charging profile is used for all vehicles, then the device complexity is reduced, but the adaptability to different vehicle types and conditions deteriorates

Engineering Contradiction:

Improvecharging profile managementVSAvoidadaptability to vehicle type

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The charging profile is transformed from a static fixed configuration to a dynamic adaptive system. The EVSE continuously collects field data during charging processes, identifies vehicle types based on this data, and automatically adjusts charging parameters in real-time. This dynamic adaptation resolves the contradiction by making the system complex only when and where needed, rather than requiring pre-configured complexity for all possible scenarios.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The EVSE system performs self-identification of vehicle types and self-adjustment of charging profiles without external intervention. By autonomously collecting field data, analyzing vehicle characteristics, and configuring appropriate charging parameters, the system eliminates the need for manual profile selection while achieving high adaptability. This self-service mechanism resolves the contradiction between simplicity and adaptability.

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If charging parameters are manually configured for each vehicle type, then the adaptability to different conditions is improved, but the ease of operation deteriorates

Engineering Contradiction:

Improveadaptability to ambient conditionsVSAvoidease of charging process

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system implements continuous feedback loops where field data collected during charging processes is used to automatically adjust charging parameters. The EVSE monitors charging performance, compares it against expected behavior for different vehicle types and ambient conditions, and dynamically modifies charging profiles accordingly. This feedback mechanism eliminates manual configuration while maintaining high adaptability to different conditions.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

Manual mechanical configuration of charging parameters is replaced with automated electronic identification and adjustment systems. The EVSE uses field data analysis and vehicle type recognition algorithms to automatically select and adjust charging profiles, replacing the need for manual operator intervention. This substitution maintains adaptability while dramatically improving ease of operation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If field data collection and analysis is implemented, then the charging efficiency is improved, but the loss of time for data processing increases

Engineering Contradiction:

Improvecharging efficiencyVSAvoidtime for profile configuration

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by collecting and analyzing field data during idle periods and between charging processes. Vehicle type identification and charging profile configuration are completed in advance before the actual charging begins. This preliminary preparation eliminates time delays during charging operations, allowing the system to quickly switch between different vehicle types without sacrificing charging efficiency.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The field data collection and analysis process operates continuously in the background during charging processes rather than interrupting the charging flow. The EVSE simultaneously charges the vehicle while collecting field data for future profile optimization. This continuous parallel operation ensures that data processing does not reduce charging efficiency, as both activities occur concurrently without mutual interference.

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS20250249776A1Method of operating an electric vehicle supply equipment

Publication Date: 2025.08.07 ABB E-MOBILITY BV

AI summary

A method of operating an electric vehicle supply equipment (EVSE), the method comprising receiving EVSE field data collected during a plurality of field charging processes of respective field vehicles by a field EVSE. The EVSE field data includes, for each of the field charging processes, respective current and voltage data representing time-dependent current and voltage applied for charging the field vehicle during the respective field charging process. The method further comprises identifying a vehicle type of the field vehicle based on the EVSE field data and configuring a vehicle charging profile for the identified vehicle type using the EVSE field data. The vehicle charging profile describes a charging behavior of the identified vehicle type, whereby parameters of a charge curve for the identified vehicle type are adjusted using the EVSE field data. The method further comprises operating the EVSE using the vehicle charging profile.