R&D |
We are dedicated to continuous R&D to become a leader in battery inspection and performance evaluation |
AI
Artificial
Intelligence

KAIST
Prof. Hong Seongbeom’s
Research Team
Study Impact of battery behavior–induced degradation on material properties

UNIST
Prof. Jung Kyungmin’s
Research Team
Study relationship between compositional changes across the full battery life cycle and the correlation between cell formats and lifespan

GyeongsangNational University &
Korea Photonics Technology Institute
–AI Energy Research Center
Conduct multi-variable modeling and predictive classification of battery degradation using nickel-cobalt–based cathode materials to analyze phase transitions and capacity fade after use.
Hardware
Battery Inspection Equipment

Kyungpook National University
Prof. Han Byungchul’s Research Team
Develop sensing hardware for precise DCIR measurement in a 1kW-class switching control cycler

Seoul National University
Prof. Jung Taekdong’s Research Team
Develop FT-EIS (Fast Transient Electrochemical Impedance Spectroscopy) system
H.Q & Factory
#509, 307, Waryong-ro, Seo-gu, Daegu, Republic of Korea
| R&D | We are dedicated to continuous R&D to become a leader in battery inspection and performance evaluation. |
Battery
Battery Cell/Module/Pack

KAIST
Prof. Lee Yoongu’s
Research Team
Establishment of a reuse diagnostic system through vehicle driving scenario-based battery charging and discharging experiments, analysis of degradation mechanisms using digital twins, and development of digital biomarkers

UNIST
Prof. Jung Kyungmin’s
Research Team
Relationship between compositional changes across the full battery life cycle and the correlation between cell formats and lifespan
AI
Artificial Intelligence

AI-Energy Research Center
in Korea Photonics
Technology Institute
Development of an Electrochemical Signal-Based SoH/RUL Prediction Model Using a Hybrid PINN

Seoul National University
Prof. Lim Jongwoo’s
Research Team
Development of a Battery Life Prediction Model through Micro-to-Macro Scale Electrode Interface Analysis via Real-time XRD
Hardware
Battery Inspection Equipment

Kyungpook National University
Prof. Han Byungchul’s
Research Team
Develop sensing hardware for precise DCIR measurement in a 1kW-class switching control cycler

Seoul National University
Prof. Jung Taekdong’s
Research Team
Develop FT-EIS (Fast Transient Electrochemical Impedance Spectroscopy) system
Material
Battery Materials

KAIST
Prof. Hong Seongbeom’s
Research Team
Impact of battery behavior–induced degradation on material properties

Green Energy Convergence
Research Institute in
Gyeongsang National University
Conduct multi-variable modeling and predictive classification of battery degradation using nickel-cobalt–based cathode materials to analyze phase transitions and capacity fade after use
H.Q & Factory
#509, 307, Waryong-ro, Seo-gu, Daegu, Republic of Korea
AI Lab
#504, 10, Noryangjin-ro, Dongjak-gu, Seoul, Republic of Korea
Power Electronics Lab
1F, 14, Gail 1-ro, Gwacheon-si, Republic of Korea
onbridge@onbridge.kr