Simcenter E-Motor Director accelerates e-powertrain development by enabling engineers to explore, evaluate and optimize electric motor concepts within a unified, multiphysics environment.
By combining simulation, data-driven design and control system integration, it helps teams balance performance, efficiency and cost while making informed system-level decisions early in the design process.
Combine electromagnetic, thermal, mechanical and control system interactions within a single environment. This integrated approach supports inverter–motor co-design and delivers robust performance across real operating conditions.
Explore motor architectures, evaluate design trade-offs and improve performance. Account for multiphysics interactions and control strategies. Early system-level insights enable better decisions and reduce costly iterations.
Leverage automated workflows and design of experiments (DOE) to rapidly explore design spaces, compare alternatives and identify optimal motor configurations or families based on multiple constraints and operating conditions.
Quickly define and compare a wide range of motor architectures and topologies from a single baseline concept. Easily create design variants, evaluate trade-offs and build structured design studies to identify the most promising configurations early in the development process.
Evaluate electric motor performance by combining electromagnetic, thermal, mechanical and control system interactions in a single workflow. Capture inverter–motor coupling effects and assess system behavior under realistic operating conditions to improve accuracy and robustness.
Define and explore large design spaces using automated design of experiments (DOE). Easily generate, manage and analyze multiple motor concepts for rapid comparison of alternatives and identification of optimal designs or motor families under multiple constraints and operating conditions.
Accelerate e-powertrain development by exploring motor architectures, optimizing performance and evaluating system-level trade-offs early in the design process. Integrate multiphysics simulations and control strategies to improve efficiency, reduce development time and support modular platform design across vehicle programs.
Design efficient and reliable electric motors for industrial applications by exploring multiple configurations and optimizing performance under varying operating conditions. Automate design exploration and integrate multiphysics analyses to improve durability, energy efficiency and overall system performance.
