Siemens announced the release of Digital Twin Composer, a software solution designed to support large-scale industrial digital twin environments for complex, software-defined products, including electric vehicles (EVs).
Siemens’ Digital Twin Composer builds Industrial Metaverse environments at scale, empowering organizations to apply industrial AI, simulation and real-time physical data to make decisions virtually, at speed and at scale
The platform enables manufacturers to combine industrial AI, physics-based simulation, and real-time operational data to evaluate vehicle platforms, battery production, and manufacturing systems in a virtual environment prior to physical deployment.
Digital Twin Composer allows engineering teams to integrate 2D and 3D digital twin data with live data from manufacturing execution systems, quality systems, programmable logic controllers, and industrial IoT sources.
Built using NVIDIA Omniverse libraries, the solution provides a managed, high-fidelity 3D environment that reflects both virtual designs and physical operating conditions across the lifecycle of a product or facility.
For EV manufacturers, Digital Twin Composer supports the virtual design and optimization of vehicle architectures, battery assembly lines, power electronics manufacturing, and automated production systems. Engineers can simulate factory layouts, material flows, logistics, and automation strategies with physics-level accuracy, identifying design conflicts, capacity constraints, and integration risks before construction or tooling begins.
The platform enables teams to test changes to production configurations, validate automation concepts, and assess throughput and energy efficiency in a virtual environment, reducing reliance on physical prototypes and late-stage modifications. This approach supports faster design cycles, improved validation, and reduced capital expenditure for EV programs operating under compressed development timelines and increasing system complexity.
Digital Twin Composer also addresses challenges associated with disconnected engineering and operations workflows by providing a unified digital model that links design, simulation, and real-time operational data. This allows EV manufacturers to continuously update and refine digital twins as vehicles, batteries, and production systems evolve, supporting long-term optimization and scalability.
Digital Twin Composer is part of the Siemens Xcelerator portfolio and is designed to integrate with Siemens data analytics and AI software, including RapidMiner, to support data-driven decision making across EV product development and manufacturing operations.
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