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Cost Reduction and Accelerated Innovation with Simulation
from Sensor to Software
Modern cars today comprise 100s of ECUs, multiple sensors, networks, million lines of code. This has drastically increased the complexity in product development. Managing design complexity, reducing test-fail-fix-repeat cycles, assuring safety compliance, perform expensive physical tests are key engineering challenges.
Ansys provides comprehensive simulation solutions that help auto companies to effectively address these challenges and achieve engineering goals (safety, reliability & cost) while delivering innovative technology solutions.
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Electrification
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ADAS & Autonomy
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Digital cockpit
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Electronics reliability
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Functional Safety
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Model-based Systems Engineering
Powerful Simulation Tools Tailored for Automotive Electronics and Software
Powering Lucid Motors with Ansys
Ansys multiphysics simulation platform helps Lucid to address customer needs, solve engineering problems, optimize subsystems, meet regulatory requirements, and bring a world-class vehicle to market.
How Multiphysics Simulation Can Prevent Electric Vehicle from Going up in Flames
In our quest to find sustainable mobility solutions with mitigation measures to prevent, reduce or control the adverse environmental effects, there is an increasing demand for efficient and less polluting transportation. With governments enforcing stricter regulations and growing consumer awareness, electrification in the transportation sector is gaining significant momentum.
In India, of late, there have been multiple incidents of electric two-wheelers catching fire. The EV powertrain is simple and robust with a smaller number of rotating components than the IC Engine powertrain. However, Li-Ion Battery used in EV powertrain needs special engineering attention during engineering, product development, and system integration.
Systems and Software
Accelerate AV Perception Software Testing with Ansys SCADE Vision
Ansys SCADE Vision is a unique solution that automates the identification of potential vulnerabilities in perception software and flag a range of edge cases, so autonomous perception software can be visually trained to recognize and respond appropriately to these objects.
