Author: Ebin Mathew

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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Futuristic tanker transporting oil or liquefied gas on the high seas

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 […]

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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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Part 3 — Integrating Physics‑Based Digital Twins into an IoT and Cloud Environments

Part 1 introduced the operational challenges associated with battery-powered IoT monitoring devices. Part 2 described how GT‑SUITE and GT‑AutoLion models capture the system physics and battery aging mechanisms. This final part explains how these models integrate into an IoT and cloud architecture, allowing each digital twin to operate as an automated, scalable component of the […]

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|An innovative smart sensor box mounted on a sleek metal pole in a modern urban park

Part 2 — Modeling Physical Digital Twins: Battery Behavior and Aging with GT‑SUITE and GT‑AutoLion

In Part 1, we explored why solar-charged, battery-powered IoT monitoring devices require reliable prediction of availability, SOH, and RUL, and why telemetry, statistical methods, or machine learning alone are not sufficient. In this second part, we focus on the modeling foundation: how GT‑SUITE and GT‑AutoLion provide the physics‑based structure that allows each digital twin to […]

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An innovative smart sensor box mounted on a sleek metal pole in a modern urban park

Part 1 — Exploring the Power of Physics-Based Digital Twins

From asset monitoring stations in remote locations to industrial sensors tracking equipment health, many modern systems rely on small, self-powered IoT devices operating far from human reach. These devices are typically equipped with a solar panel, a battery, and a communication module. Their job is simple: collect data, stay powered, and reliably transmit information to […]

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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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furnace

Modeling the Google Deschutes CDU in GT-SUITE: A Blueprint for Liquid Cooling Success

A Difficult Balance for Data Centers As data centers push toward higher rack power densities and rapidly scaling AI workloads, liquid cooling has become essential for managing extreme thermal loads efficiently. Designing these next generation cooling systems is challenging – engineers must balance reliability, energy use, water consumption, and safety, all while navigating tight deployment […]

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