Category: GT-SUITE
Lithium Plating Detection: How Virtual Sensors Enable Smarter Fast Charging
Fast Charging Pushes Li-ion Batteries Toward a Hidden Risk Fast charging has become a defining requirement for modern electric vehicles and battery-powered systems. Users expect shorter charging times, consistent performance, and reliable operation under all conditions. For simulation, battery control, and engineering teams, this shift raises a shared challenge: predicting and managing internal battery risk […]
When Agents Build the Model: Accelerating Digital Twins with GT Intelligence Studio
Why Building a Digital Twin Model Still Takes Too Long Our three-part series on physics-based digital twins followed a solar-charged, battery-powered Internet of Things (IoT) monitoring device. We covered the availability and battery-health questions that matter for operating it, how GT-SUITE and GT-AutoLion capture its physics and aging behavior, and how the model runs in […]
Hybrid Powertrain Simulation for a Pickup Truck: How FEV Optimized Five Architectures with GT-SUITE
Most hybrid powertrain programmes commit to an architecture too early. A configuration that looks promising on paper can fall apart once you account for towing loads, payload constraints, and real-world drive cycles simultaneously. By that point, hardware has been ordered and timelines are fixed. FEV North America took a different approach. Working with a 4WD […]
Machine Learning-Based E-Motor Thermal Metamodeling: Replacing FE Models for Fast System-Level EV Simulation
The Challenge with E-Motor Thermal Simulation Thermal simulation of electric motors sits at the intersection of two competing demands: the need for spatial accuracy at the component level, and the speed required for system-level scenario exploration. High‑fidelity 3D Finite Element (FE) thermal models of electric machines are essential for predicting hotspot temperatures, validating cooling strategies, […]