Category: digital twin
Simulating Lithium–Sulfur Batteries for UAV Missions with GT-AutoLionSulfur
As industries push for lighter and more energy-efficient solutions, lithium–sulfur (Li–S) batteries are gaining increasing attention. Their appeal is clear: they offer the potential for much higher energy per weight than conventional lithium-ion batteries while using sulfur, an abundant and low-cost material. But while the promise is real, so are the challenges. Unlike lithium-ion batteries, […]
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, […]
Marine System Simulation for LNG Carriers: Improving Fuel Efficiency and Reducing Emissions
The maritime industry is navigating one of the most significant transitions in its history. As global trade continues to grow, vessel operators face increasing pressure to reduce fuel consumption, lower greenhouse gas emissions, and comply with evolving environmental regulations. The International Maritime Organization (IMO) has established ambitious decarbonization targets, pushing ship owners and operators to […]
From the Road to the Rack: Using Physics-Based Simulation to Integrate Second-Life Batteries into Data Centers
Today’s data center industry is facing a massive power crunch. Driven by the explosive growth of AI workloads and a strained electrical grid, the industry is desperate for solutions that can provide firm power solutions and resilience. Second-life (2nd life) batteries, repurposed modules from retired EVs, are a tempting solution to fill this gap at […]
Modeling Hydrogen Fuel Cell Propulsion Systems for Aviation with GT-SUITE
The aviation industry is entering a period of rapid transformation as manufacturers explore new propulsion technologies to meet increasingly ambitious emissions targets. While improvements in conventional engines and sustainable aviation fuels remain important pathways, hydrogen-powered propulsion is emerging as a potential long-term solution for cleaner flights. Among the hydrogen pathways being explored, fuel cell–based propulsion […]