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H2Bloom

Real-Time AI & EIS Diagnosis Solution for Hydrogen Stacks

Specialization

Hydrogen Stack Diagnosis
AI-Based Monitoring
Industrial EIS Solution

Keywords

EIStack
Hydrogen Stack
EIS Diagnosis

H2Bloom develops EIStack™, a real-time AI and EIS-based diagnosis solution for hydrogen stacks.
EIStack monitors hidden abnormal signals inside operating hydrogen stacks and supports early detection of degradation or damage.
The solution enables in-situ EIS measurement during actual operation, without stopping the facility.
It is designed for hydrogen plants, fuel cells, electrolyzers, and industrial-scale stack systems.

(1) Owned Technology

EIS-based real-time hydrogen stack monitoring technology.
AI-powered automatic diagnosis algorithm for fault isolation.
Noise-robust EIS measurement technology for high-voltage and high-load industrial environments.
Compact industrial EIS hardware optimized for field installation.
Stack degradation tracking and remaining useful life prediction framework.

(2) Applied Products

EIStack™ Industrial EIS Solution
- Real-time EIS diagnosis solution for hydrogen plants.
- Supports operation-stage stack monitoring without facility shutdown.
- Compact design: approximately 20 cm and 1 kg.
- Supports up to 250 kW and 1000 V industrial stack environments.
AI Diagnosis Dashboard
- Provides automated stack health diagnosis.
- Supports fault isolation, degradation tracking, and operator decision-making.

(1) Problem Definition / Development Background

Hydrogen stacks are the core component of hydrogen systems and account for more than 60% of total system cost.
Stack degradation is often invisible, making it difficult to detect early-stage abnormal conditions.
Conventional CVM methods are reactive and can only detect damage after it has already occurred.
Traditional EIS equipment is bulky, expensive, offline-only, and difficult to use in noisy industrial operating environments.

(2) Value Proposition / Solution

EIStack provides real-time stack diagnosis during operation.
The solution helps detect abnormal signals early and enables preventive response before irreversible damage occurs.
It improves stack durability, reduces maintenance cost, and enhances the economic feasibility of hydrogen facilities.
By lowering initial deployment costs, EIStack makes EIS diagnosis more accessible for industrial hydrogen systems.

Real-Time Diagnosis: Enables in-operation EIS measurement without stopping the system.
AI-Powered Insight: Automatically diagnoses stack abnormality types through fault isolation.
Noise-Robust Measurement: Secures reliable data even in high-voltage, high-load, and noisy operating environments.
Compact & Lightweight: 20 cm and 1 kg device, compared with traditional rack-scale EIS equipment.
Cost Innovation: Reduces initial introduction cost by more than 80% compared with existing technologies.
Industrial Scale-Up: Supports up to 250 kW and 1000 V, with scalability through parallel expansion.

Developed EIStack™, an EIS + Stack diagnosis solution for hydrogen systems.
Built for industrial hydrogen plants requiring real-time monitoring and predictive maintenance.
Positioned as the “MRI for Hydrogen Systems,” enabling operators to see hidden stack conditions.
Designed to support all-type stack compatibility, including PEM, PA, SO, and AEM stack types.
Targets global standards and European hydrogen markets.

(1) PoC Progress

EIStack is presented as a field-ready industrial solution for hydrogen stack monitoring and diagnosis.

(2) Global Expansion

H2Bloom targets global hydrogen standards and European markets.
The company aims to contribute to hydrogen energy adoption by improving stack durability, operational efficiency, and maintenance economics.
EIStack supports the broader transition toward net-zero energy and carbon-neutral hydrogen infrastructure.