Digital Twin Platform

TwinElectra's Digital Twin Platform combines physics-based engineering models, real-time operational data, and AI-driven analytics to create intelligent digital representations of products and systems throughout their lifecycle. Unlike traditional simulation models used only during development, our digital twins remain connected to deployed assets through telematics and Industrial IoT (IIoT) infrastructure, enabling continuous monitoring, optimization, and performance improvement in the field.

We develop digital twins for electrified powertrains, electric machines, power electronics, battery systems, generators, hydraulic systems, industrial equipment, and off-highway vehicles. These virtual models accurately replicate the behavior of physical systems and provide a foundation for design optimization, controls development, validation, and operational intelligence.

Engineering Digital Twins

• Comprehensive off-highway and automotive vehicle models including conventional and electric powertrains, energy storage, brake & suspension systems, hydraulics, vehicle dynamics and controls.
• Electric machine modeling including induction motors, permanent magnet motors, and synchronous generators
• Power electronics, inverter, battery, and energy management simulation
• Model-Based Design (MBD) and controls development
• Field-Oriented Control (FOC) and advanced motor control algorithms
• Generator synchronization and power system modeling
• System-level performance and efficiency optimization
• Hardware-in-the-Loop (HIL) and Controller-in-the-Loop (CIL) validation

Connected Digital Twins

• Vehicle telematics and IIoT data integration
• Edge and cloud-based data acquisition architectures
• Real-time asset monitoring and diagnostics
• Fleet performance analytics and benchmarking
• Predictive maintenance and anomaly detection
• Remaining useful life estimation
• Energy consumption and operational efficiency tracking
• Remote software and calibration validation

AI-Enabled Engineering Intelligence

By combining physics-based models with operational data, TwinElectra enables intelligent digital twins that continuously learn from real-world usage. AI-driven analytics help identify performance deviations, optimize control strategies, predict failures before they occur, and accelerate engineering decision-making.

Accelerating Innovation Across the Product Lifecycle

TwinElectra's Digital Twin Platform creates a digital thread connecting engineering, validation, deployment, and field operations. This integrated approach reduces development risk, shortens time-to-market, improves product reliability, and unlocks actionable insights throughout the life of the asset.