Technology
We support safe operation and extended lifespan of batteries through accurate data analysis and predictive modeling, providing optimized solutions for electric vehicle (EV) and energy storage system (ESS) batteries.
Technology
We support safe operation and extended lifespan of batteries through accurate data analysis and predictive modeling, providing optimized solutions for electric vehicle (EV) and energy storage system (ESS) batteries.
Technology
We support safe operation and extended lifespan of batteries through accurate data analysis and predictive modeling, providing optimized solutions for electric vehicle (EV) and energy storage system (ESS) batteries.
What is Cloud BMS?
What is Cloud BMS?
Providing various battery diagnosis functionsas a service based on the cloud that customers want in a cloud computing service model
Providing various battery diagnosis functionsas a service based on the cloud that customers want in a cloud computing service model
① Providing real-time status diagnosis solutions
Status diagnosis
technology
Status diagnosis
technology
Status diagnosis
technology
Goal
Suggesting classification criteria for Second Life
Suggesting classification criteria for Second Life
Real-time detection for accident prevention
Real-time detection for accident prevention
Providing criteria for determining battery value by customer
Providing criteria for determining battery value by customer
Research direction
Discovery of parameters (characteristics) reflecting the status
Discovery of parameters (characteristics) reflecting the status
Analysis of degradation mechanisms under operating conditions
Analysis of degradation mechanisms under operating conditions
Presentation of battery value assessment criteria for each customer through diagnostic verification and analysis.
Presentation of battery value assessment criteria for each customer through diagnostic verification and analysis.
Customer provided
Analysis results app/web provided
Analysis results app/web provided
Inspection report, battery value
Inspection report, battery value
② Accident prevention possible
Exceptional predictive technology
Exceptional predictive technology
Exceptional predictive technology
Goal
Predicting maintenance timing considering user patterns
Predicting maintenance timing considering user patterns
Accident prevention through prediction
Accident prevention through prediction
Presenting the predicted cause of the accident
Presenting the predicted cause of the accident
Research direction
Analysis of the mechanism causing defects
Analysis of the mechanism causing defects
Analysis of possible abnormal scenarios during operation
Analysis of possible abnormal scenarios during operation
Qualitative/Quantitative Diagnostic Analysis of Abnormal Causes
Qualitative/Quantitative Diagnostic Analysis of Abnormal Causes
Customer provided
Analysis results app/web provided
Analysis results app/web provided
Inspection Report
Inspection Report
③ Cost reduction possible
Lifespan prediction/extending technology
Lifespan prediction/extending technology
Lifespan prediction/extending technology
Goal
Securing cost-effectiveness through optimization of operating conditions
Securing cost-effectiveness through optimization of operating conditions
Presenting optimal driving conditions to prevent accidents
Presenting optimal driving conditions to prevent accidents
Research direction
Analysis of the impact on lifespan according to the degradation mechanism
Analysis of the impact on lifespan according to the degradation mechanism
Analysis of battery operating patterns by user
Analysis of battery operating patterns by user
Customer provided
Analysis result app/web provided
Analysis result app/web provided
Inspection report, battery value
Inspection report, battery value
Battery diagnosis
Battery diagnosis
Development of a diagnostic model based on condition-reflecting indicators for accurate and rapid diagnosis and verification of the diagnostic model through cell decomposition analysis to check the internal state of the battery
Development of diagnostic models based on condition indicators for accurate and rapid diagnosis and verification of diagnostic models through cell decomposition analysis to check the internal state of the battery
- 1
전기자동차, 에너지저장장치 등 배터리 데이터 입력
- 2
모델 입력 매트릭스 구성 배터리 상태 추정 모델
- 3
수명/이상 예측 모델
- 4
Diagnosis result provided to the customer
- 5
Total battery solution for care throughout the battery life cycle
- 1
전기자동차, 에너지저장장치 등 배터리 데이터 입력
- 2
모델 입력 매트릭스 구성 배터리 상태 추정 모델
3수명/이상 예측 모델
4Diagnosis result provided to the customer
5Total battery solution for care throughout the battery life cycle
- 1
전기자동차, 에너지저장장치 등 배터리 데이터 입력
- 2
모델 입력 매트릭스 구성 배터리 상태 추정 모델
- 3
수명/이상 예측 모델
- 4
Diagnosis result provided to the customer
- 5
Total battery solution for care throughout the battery life cycle
Key technologies
Key technologies
Battery material surface analysis/ Composition analysis/ Structural analysis performed
Battery material surface analysis/ Composition analysis/ Structural analysis performed
⓵ STEP
⓵ STEP
Analysis of degradation mechanism
Analysis of degradation mechanism
Analysis of degradation mechanism
⓶ STEP
⓶ STEP
Development of status/abnormal indicators
Development of status/abnormal indicators
Development of status/abnormal indicators
⓷ STEP
⓷ STEP
Decomposition analysis diagnostic model validation
Decomposition analysis diagnostic model validation
Decomposition analysis diagnostic model validation
Analysis of degradation causes and securing diagnosis accuracy
Analysis of degradation causes and securing diagnosis accuracy
Apply accurate condition estimation indicators and ensure diagnostic accuracy through root cause analysis of degradation
Development of diagnostic models based on status-reflecting indicators for accurate and rapid diagnosis, and verification of the diagnostic model through cell decomposition analysis to check the internal status of the battery.