
JLR: Using machine learning for Digital Twin based thermal management
The electric stack—encompassing lithium-ion batteries, electric machines, power electronics, and embedded compute—forms a foundational technology for modern mobility and energy systems for the 21st century. The Digital Twin offers a unique opportunity to optimize system performance.
Speakers: Juan San Primitivo Rodriguez, Field Service Engineer, and Alexandru Ciobanas, Software Engineer Jaguar Land Rover
Business impact
- Lowered compute cost by 70–90%
- Enabled increase of accuracy of real time models for software calibration
- Accelerated highfidelity CFD models by 100×–1,000×




