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Design the Engineering Ecosystem for Tomorrow’s Mobility.

Next-generation vehicles demand precision engineering, from EV battery thermal management and motor optimization to EMI/EMC compliance and radar reliability. Ansys delivers the simulation depth to tackle these challenges, helping you design safer, more efficient, and intelligent mobility solutions—faster and with less risk.

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Where We've Helped

Still trying to decide?
Here are our most frequently asked questions.

How can simulation help us improve EV range without adding weight or cost?

EV range is often limited by inefficiencies across the full electrified system—battery thermal behavior, inverter losses, motor performance, and cooling strategy. Multiphysics simulation helps teams identify where energy is lost, optimize thermal paths, and validate tradeoffs early. This enables faster design iteration with fewer prototype loops and more confidence in real-world performance.

Battery safety requires early insight into thermal runaway triggers, propagation behavior, and the effectiveness of cooling and packaging decisions. Simulation supports design exploration and “what-if” analysis before physical builds are available, helping teams reduce risk earlier in the program. It also provides technical evidence to support design reviews, test planning, and safety-focused decision-making.

As power electronics density increases and high-voltage switching becomes more aggressive, EMI/EMC issues can surface late and disrupt schedules. Electromagnetic simulation helps teams predict interference, coupling paths, and susceptibility risks early—before harness routing, enclosures, and integration choices become difficult to change. This improves electronics reliability and reduces costly redesigns near validation.

Yes—modern electric machines must balance torque, efficiency, thermal limits, NVH, and packaging constraints all at once. Integrated simulation enables faster motor design exploration across duty cycles and operating conditions, helping teams validate performance earlier and reduce iteration time. This approach supports smarter tradeoffs and faster e-drive development.

ADAS and connected vehicle systems depend on sensor accuracy in real-world conditions, where packaging and electronics interference can significantly impact performance. Physics-based simulation helps teams assess antenna and radar behavior, identify electromagnetic risks, and validate sensor robustness earlier. The result is fewer late-stage surprises and stronger confidence in system-level performance.

High-power electronics, compact packaging, and limited cooling headroom can drive hot spots, derating, and reliability concerns. Thermal simulation helps teams optimize airflow, cooling approaches, and component-level heat transfer while evaluating impacts across the full system. This supports earlier validation and more stable performance across operating environments.

Yes—functional safety and cybersecurity expectations are increasingly tied to how systems are designed, validated, and updated over time. Simulation-driven validation supports stronger confidence in electronics and embedded system behavior, helping teams reduce risk and improve robustness across integration. This complements ISO 26262 and AUTOSAR-aligned workflows by improving traceability and early verification.