The company says it will focus on showcasing its expertise in electrification, autonomous, connected and model-based systems engineering.
16 Jan 2019 | 6655 Views | By Autocar Professional Bureau
Simulation and software have become a driving force in automotive and ANSYS sees the SIAT Expo as an opportunity for it to present its solutions (Stall No. 96). The company says it will focus on showcasing its expertise in electrification, autonomous, connected and model-based systems engineering.
Current density ...
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Simulation and software have become a driving force in automotive and ANSYS sees the SIAT Expo as an opportunity for it to present its solutions (Stall No. 96). The company says it will focus on showcasing its expertise in electrification, autonomous, connected and model-based systems engineering.
Current density on an IGBT. Power electronics in the electric powertrain of a hybrid or electric vehicle.
The company says it will display how simulation is being used to drive innovation in electrification, where its solutions can help expedite and maximise performance of a wide range of powertrain components such as traction motors, drives, controls, batteries and power electronics by providing in-depth insights into complex components and systems through virtual prototyping and testing.
In addition, ANSYS will demonstrate its history of high-fidelity simulations for component, subsystem and system design to build a comprehensive solution for simulating autonomous vehicle miles driven.
The company says at present, automotive companies are accustomed to simulating and optimising vehicle components separate from each other. With the rise of complex systems, this methodology is no longer effective, and the focus needs to shift towards Model Based Systems Engineering (MBSE), an approach where systems and components are simulated together. Such simulations accurately capture behavioural characteristics of individual components under real life operating conditions that they would experience as part of a bigger system, and therefore enable more accurate and extensive predictions of system behaviour.