Simulation Process & Data Management (SPDM) Conference 2026

Accurately predicting battery degradation under real-world operating conditions is critical for sizing, thermal management, and long-term EV reliability. In this session, Gamma Technologies demonstrates how physics-based simulation combines with machine learning to streamline Vehicle Thermal Management (VTM) workflows.

Key Highlights:

• Physics-Informed Aging: Methods to capture electrochemical battery degradation and thermal behavior at scale.
• AI/ML Integration: Using machine learning surrogates to accelerate full-vehicle thermal simulations without sacrificing fidelity.
• Scalable Data Workflows: Managing simulation data and surrogate models effectively across engineering teams.