Category: XiL

Soldier overseeing military drone while data streams in the background|Mapping of predicted anode potential|Virtual sensor estimating lithium plating|Virtual sensor estimating lithium plating risk in real time

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, […]

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Electric Car EV charging station people charging in car port

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 […]

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||Illustration of modularity|Geometry conversion of original CAD|furnace

Model Predictive Control with NARX Metamodels: Smarter Torque Requests for Fuel Cell Vehicles

As electrification expands across commercial fleets, engineers are rethinking power management to deliver efficiency, drivability, and robustness under real‑world conditions. By anticipating what the vehicle will need moments ahead, Model Predictive Control (MPC) reduces energy waste, smooths transients, and keeps the power source operating in its most efficient window. MPC paired with a dynamic, data-driven […]

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Engineering Insights Blog|BMS|BMS|Tilt-Rotor Animation|Operational Window|VTOL|Simulation Result Summary Table|Flight Mission Profile|Simulation Results|Series Hybrid Tilt-Rotor Model Example in GT-SUITE|Comparison of steady and transient model response|IceFraction Animation|fuel cell bus|Schematic of water recirculation|System Workflow of a Series Hybrid Tilt-Rotor in GT-SUITE_01||Ice fraction near cathode catalyst layer||Routes Selected for System Level Simulation|2D flowfield in CAD

A Year of Engineering Insights: Our Top 7 Blogs You Shouldn’t Miss

From smarter thermal systems and next-generation batteries to digital twins, fuel cells, and advanced air mobility, we explored how engineering simulation is reshaping engineering decisions across industries. If you’re working at the intersection of innovation, performance, and efficiency, these seven blogs capture the most impactful ideas we shared in 2025, each addressing real-world engineering challenges […]

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Virtual Calibration|BMS|BMS|Operational Window|Tilt-Rotor Animation|VTOL|Simulation Result Summary Table|Flight Mission Profile|Simulation Results|Series Hybrid Tilt-Rotor Model Example in GT-SUITE|IceFraction Animation|System Workflow of a Series Hybrid Tilt-Rotor in GT-SUITE_01|Comparison of steady and transient model response||fuel cell bus|Schematic of water recirculation|Ice fraction near cathode catalyst layer||Routes Selected for System Level Simulation|2D flowfield in CAD

Introduction to Virtual Calibration: A Smarter Approach to Powertrain Development

The Limitations of Conventional Calibration and Testing Testing and calibrating powertrains is crucial for product development yet traditionally requires years of work and millions in investment. Over time, requirements have expanded considerably to address regulatory compliance (OBD/emissions), customer expectations (efficiency), and manufacturer standards (reliability). Meeting these demands involves extensive physical testing through in-house facilities, on-road […]

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Digital Twin Simulation|Toshiba GT-AutoLion blog||Toshiba GT-SUITE blog|Table: Results of preliminary study on battery sizing for the tugboat application. Daily fuel consumption as a function of battery configuration.||Figure 8. Simulation results of a single mission comparing two different battery designs. The Toshiba 20 Ah SCiBTM cells are arranged in 250S/170P (light grey) and 250S/142P (black).|||||||||||||Digital Twin Image|Digital Twin Orchestration Workflow|Cabin Comfort Model in GT-TAITherm|Data collection|Data cleaning|Virtual model building|Data driven ML model|Real time integration|Engineers interacting with a virtual digital twin model on a tablet||Fault Detection on OBD_02||Virtual Model using Digital Twin

Digital Twin Simulation: Engineering Smarter, Faster, and More Reliable Products

Why Digital Twins are Necessary and Important Imagine being able to predict equipment failures before they happen, optimize system performance in real time, and reduce expensive physical testing. This is the power of digital twins. A digital twin is a virtual replica of a physical asset, enabling real-time monitoring, simulation, and optimization.  With increasing system […]

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