AI Controller for Hydrogen Refueling Station Operations

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Solution Overview

Problem

Existing hydrogen refueling stations face challenges in efficiently managing and maintaining operations, particularly when operators lack experience or unexpected situations arise, leading to inefficient refueling and potential equipment malfunctions.

Innovation Solution

A device and method for controlling hydrogen refueling that utilizes artificial intelligence to collect and analyze data from hydrogen refueling facilities, predict optimal refueling times, automate inspections, and systematize operations, ensuring seamless and efficient refueling processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual operation and monitoring of hydrogen refueling facilities is used, then operational flexibility and adaptability are maintained, but operational efficiency and reliability deteriorate due to operator inexperience and inability to handle unexpected situations

Engineering Contradiction:
Improveoperational efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The control system performs self-diagnosis and self-correction by automatically detecting malfunctions, generating maintenance notifications, and executing control adjustments without requiring operator intervention. The system monitors its own operational status and manages itself through automated protocols.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Manual operational control is replaced with an automated control system that uses sensors, processors, and communication modules to monitor and regulate hydrogen refueling operations. The mechanical/manual control mechanism is substituted with an intelligent electronic control system.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated control systems are implemented to improve operational efficiency, then productivity increases, but the ability to handle unexpected situations and adapt to different conditions deteriorates

Engineering Contradiction:
Improverefueling efficiencyVSAvoidadaptability to unexpected situations
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The system continuously monitors operational parameters through sensors and adjusts control actions based on real-time feedback. When anomalies are detected, the system receives feedback signals and automatically modifies its operation to handle unexpected situations, maintaining both efficiency and adaptability.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The control system transitions from static predetermined operations to dynamic adaptive control. The system can change its operational parameters and response strategies in real-time based on detected conditions, allowing it to adapt to unexpected situations while maintaining high productivity.

Inventive Principle:
Principle #15Dynamics

3Reliability

If continuous monitoring and inspection of facilities is performed to maintain reliability, then system reliability improves, but operational time and cost increase

Engineering Contradiction:
Improvefacility reliabilityVSAvoidinspection time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary inspections and maintenance actions before actual failures occur. By continuously monitoring and detecting potential issues early, the system can schedule maintenance during low-demand periods, minimizing impact on operational time while ensuring high reliability.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The monitoring system operates continuously without interrupting refueling operations. Inspections and maintenance activities are scheduled during off-peak hours or performed remotely, allowing continuous monitoring while minimizing time loss during actual maintenance operations.

Inventive Principle:
Principle #20Continuity of useful action

4Ease of manufacture

If manual inspection and maintenance scheduling is used, then operational simplicity is maintained, but maintenance quality and timeliness deteriorate

Engineering Contradiction:
Improveoperational simplicityVSAvoidmaintenance precision
Core Design Contradiction:
Ease of manufactureVSManufacturing precision

Solution Approach 1:

Manual inspection and scheduling processes are replaced with automated systems that use sensors, data analysis, and intelligent algorithms to determine maintenance needs. The mechanical/manual scheduling mechanism is substituted with an automated system that provides precise, data-driven maintenance timing and sequencing.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12325621B2Device and method for controlling refueling of hydrogen
Publication Date: 2025.06.10 HYUNDAI MOTOR CO LTD
  • US12325621B2 patent drawing
  • US12325621B2 patent drawing
  • US12325621B2 patent drawing

AI summary

A device for controlling refueling of hydrogen includes one or more hydrogen refueling facilities for refueling a hydrogen-powered vehicle with hydrogen, and a controller that collects state information and control data of the hydrogen refueling facilities, performs artificial intelligence learning based on the state information and the control data, and controls operations of the hydrogen refueling facilities based on the learning result.