Smart AI Solutions for the Entire Battery Lifecycle
Our platform leverages battery-related big data generated from real-world EVs, batteries, and charging stations.
Based on this data, we provide AI-powered services that enhance energy efficiency and
optimize operations across the entire energy lifecycle—from usage and disposal to recycling.
AI-Powered Real-Time Battery Diagnostics Service for In-Operation EVs (Battery DaaS)
Stress Factor Analysis
Temperature, Frequency, and Charging Habits (During Charge/Discharge)
Ratio of Fast to Slow Charging
Driving Patterns and Mileage
Cumulative Battery Usage Period
Road Conditions and Weather Factors
EV and Battery Specifications
Failure and Anomaly Prediction
Stress Factor Scoring
Failure and Maintenance History Analysis Detection of Anomalies and Degradation Signs
Failure and Anomaly Prediction
Remaining Useful Life (RUL) Prediction
Real-Time Calculation of SOH, SOC, and DOD During Operation
AI Training Through Mathematical Modeling
Intelligent Personalized Charging Service (Charging DaaS)
Charging Station Operation Optimization
Power Peak Shaving & Load Management Real-Time Charging Control Service Charger Anomaly Detection
Charger Failure Prediction
Charging Network Monitoring
Customized EV Charging Service
Personalized Charging Scheduling
Peak Shaving & Discounted Rates Alternative Charger Recommendations & Discounts
Customized Charging Services for Each User
e-Mobility Big Data Analytics Service (Analytics Service)
Data Collection
Domain-Specific Data Definition
Data Standards Management
Data Collection & Storage
Data Preprocessing
Analytics Workflow Management
Analytics Model Service
Domain-Specific Data Modeling
AI Algorithm Implementation & Training Hyperparameter Tuning
Analytics Model Management
Operation of Analytical Models
Visualization of Analysis Results
Analytics Model Serving
Analytics Model Change Management