Digital Twin
For mobility, energy, and control systems, we create high-fidelity virtual replicas (digital twins) of physical assets and processes; delivering end-to-end solutions for monitoring, prediction, optimization, and decision support.
- Model-based digital twins: physics-based models, parameter identification, and validation
- Real-time data integration: sensor streams, telemetry, and data fusion
- Prediction: SoC/SoH, fault/degradation analysis, and predictive maintenance
- Scenario analysis: “what-if” simulations, safety and performance evaluations
- Optimization: energy/efficiency improvements and strategy tuning
- Lifecycle approach: design → validation → field monitoring → continuous improvement
With our digital twin infrastructure, we reduce risks before physical prototyping,
optimize performance in virtual environments, and deliver reliable models
continuously updated with real-world data.
