Category: commercial vehicle

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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GT IS BLOG|Mild hybrid system model in GT-SUITE|||New pickup trucks on assembly line

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 […]

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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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Machine Deep learning algorithms

Combining Physics and Machine Learning to Predict Battery Aging with Confidence

Battery technology is evolving rapidly to meet the growing demands of electric vehicles, large-scale energy storage systems, and portable electronics. A major challenge lies in reliably predicting long-term battery performance within practical development timelines. Because batteries degrade gradually during both use and storage, conventional testing methods take a long time to produce accurate lifetime estimates. […]

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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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