In this webinar, presented by Gamma Technologies’ own Nils Framke (Principal Engineer, Product & Apps Strategy) talks about how in heat pump systems operating with high-pressure ratios and extended environmental conditions, vapor injection compressor systems are used to increase the system coefficient of performance (COP) and lower the operating expenditure. Access the recording Such systems […]

In this webinar, presented by Gamma Technologies’ Yogesh Nalam (Senior Application Engineer, Thermal Fluid Systems), we will explore two different battery cooling methods, cold plate and immersion cooling, and address the challenges of thermal runaway through numerical simulations. Access the recording Thermal runaway is a complex 3D multi-physics issue that demands significant computational resources. Hence, […]

Watch the webinar “Fuel Cell Fault Simulation and Detection for On Board Diagnostics using Real-Time Digital Twins ” presented by Gamma Technologies’ own Christian Altenhofen and Pantelis Dimitrakopoulos. Access the recording About the webinar: The modern automotive industry is facing challenges of ever-increasing complexity in the electrified powertrain era. On-board diagnostic (OBD) systems must be […]

This webinar, presented by Gamma Technologies’ own Sagar Kulkarni (Senior Engineer, Application Engineering | Thermal Management), investigates methods aimed at streamlining complex thermal management models of battery electric vehicles (BEVs). A high-fidelity model of a BEV is used, featuring detailed thermal representations of components and several cooling, chiller, and AC circuits. The focus is on […]

This webinar, presented by Gamma Technologies’ own Michael Zagun (Staff Application Engineer, Mobility & System Integration) and Thomas Vevaud (Senior Application Engineer, Reactive Flow Systems), highlights the multi-objective optimization of a fuel-cell powered in-harbor tugboat propulsion under selected duty cycle and weather conditions. Access the recording The dynamic and forward-facing multi-physics simulation model integrates a […]

In this webinar, presented by Gamma Technologies’ own Milan Cvetković (Senior Application Engineer, Mobility & System Integration) and Pantelis Dimitrakopoulos (Staff Application Engineer, Mobility Systems & Integration) explores the challenges and opportunities associated with the integration of a full e-Powertrain into a fuel cell truck, focusing on the seamless coordination of various components such as […]

In this webinar, presented by Gamma Technologies’ own Massimiliano Mastrogiorgio (Senior Application Engineer, Electrical Systems • Battery Systems), we discuss machine learning techniques to develop efficient and comprehensive battery models, including thermal aspects. We will showcase how machine learning algorithms are employed to capture complex battery behaviors quickly and integrate them into vehicle system models. […]

The HVACR industry is undergoing a transformation. With evolving regulations, increasing competition, shorter design cycles, and the need to minimize costly and time-consuming physical testing, Copeland turned to advanced simulation technology to meet these challenges head-on. Discover how scroll compressor mechanical modulation and HVACR system optimization are driving sustainable HVACR solutions through cutting-edge simulation, guided […]

Lithium-ion batteries (LIBs) play a vital role in the advancement of electric vehicles and sustainable energy solutions. They are favored over other secondary energy storage systems due to their high energy density, long cycle life, high nominal voltage, and low self-discharge rate. However, the latency of LIBs’ internal states makes it difficult to predict their […]

Undoubtedly, fast and accurate battery models are crucial for various applications such as electric vehicles, renewable energy storage, and portable electronics. Machine learning techniques offer the ability to develop efficient and comprehensive models for automotive simulation including batteries and their thermal aspects. This 45-minute webinar explores how to use machine learning to develop these more […]