Category: bev

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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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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electric system of eco car engine Automotive part concept|Futuristic tanker transporting oil or liquefied gas on the high seas

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, […]

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Blue Hydrogen filled H2 Aeroplane flying in the sky - future H2 energy concept.||Battery pack temperature at 60°C charging|Li-plating potential at 60°C|Li-plating potential output at 25°C|Li-plating potential output at -10°C|||Figure 5: SEI and Li-plating formation|Monitor signals for relevant battery pack states|Constant-current charging strategy example|Problems (left column) and solutions (right column) for BMS design|Operational window of a lithium-ion battery|Challenges Addressed||||||GT-SUITE & GT-Autolion model for engineering

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 […]

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||Digital Twin Results in Live Analysis Dashboard|GT-Cloud for Digital Twin Execution|Daily SOH estimation for device leveraging GT-Play|GT-Autilion Digital Twin Models hosted on GT-Play|Digital Twin Cloud Setup|An innovative smart sensor box mounted on a sleek metal pole in a modern urban park

Virtual Validation of Lithium-Ion Battery Management Systems

Battery Management Systems (BMSs) play a critical role in ensuring lithium-ion battery packs operate safely, efficiently, and reliably across all operating conditions. As battery systems become more complex and application demands continue to increase, validating BMS algorithms has become significantly more challenging. Building on the previous blog’s overview of BMS architecture for lithium-ion batteries (LIBs), […]

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Cutaway view of a Solid-State Battery module on black background. Next Generation Electric Vehicle Battery concept. Generic design. Isometric view. 3D rendering illustration.|fuel cell bus|IceFraction Animation|Schematic of water recirculation|Ice fraction near cathode catalyst layer|Comparison of steady and transient model response|2D flowfield in CAD

Solid-State Batteries: Why Virtual Modeling and Simulation are the Only Way Forward

Solid-State vs Lithium-Ion Batteries | What’s Driving the Shift The push for safer, longer-lasting, and higher-energy batteries is accelerating change across the energy storage industry. Solid-state batteries (SSB) are gaining attention as a promising solution to meet these growing demands. Unlike conventional lithium-ion batteries (LIB), which use flammable liquid electrolytes, SSB relies on solid materials, […]

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||Routes Selected for System Level Simulation|1-D Simulation Model Built in GT-SUITE|Schematic diagram of hydrogen fuel cell. Electrochemical cell. Vector illustration isolated on white background.|Modern rail freight powered by hydrogen fuel cells

Everything You Wanted to Know About Sodium-Ion Batteries

From Lithium-Ion to Sodium-Ion Batteries: A New Era in Battery Technology As the demand for energy storage continues to rise, sodium-ion batteries (NIBs) are gaining momentum as a compelling alternative to lithium-ion batteries (LIBs). Leveraging more abundant and cost-effective materials, NIBs are especially well-suited for low-speed electric vehicles—where range is less critical and affordability is […]

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Multi-scale Modeling with Compular Labs and Gamma Technologies|RDE Diagram|Concept Image of a Rotating Detonation Engine|Concept Image of a Rotating Detonation Engine||Unwrapped view of the RDE

How Multi-scale Models Are Enhancing Battery Performance and Design

Beyond Experimentation: Predicting Battery Performance with Multi-Scale Models In today’s electrified world, designing better batteries goes far beyond trial-and-error testing. Engineers and researchers are increasingly turning to simulation to accelerate innovation and reduce development costs. Lithium-ion batteries power modern energy storage systems, from electric vehicles to grid storage. As demand grows for higher performance, longer […]

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