Enchanting World of Heavy-Duty Trucks Start your engines, or in the case of an EV, activate your electric motors! Today, we’re diving headfirst into the intriguing world of predictive cruise control (or PCC for short) for a heavy-duty truck with a trailer. What is predictive cruise control? Is that when my truck predicts my next […]
The topic of heat pumps has gained significant attention in recent years as the push for sustainable and energy-efficient solutions continues. In one of the latest episodes of Gamma Technologies’ Tech Talk podcast, GT experts, Jon Zenker (Head of Strategic Markets) and Rodrigo Aihara (Senior Staff Application Engineer, Thermal Fluid Systems), discuss the potential of […]
At Gamma Technologies, our GT-SUITE and GT-AutoLion simulations provide battery engineers and designers robust solutions for modeling and predicting battery performance throughout its lifecycle. Enjoy reading our battery-focused technical blogs to learn more about: Calculating electric vehicle (EV) range Decreasing battery system simulation runtime Vehicle modeling: ICEV & BEV correlation procedure Reducing battery charging time […]
Component-Level Design & Analysis for Motor Thermal Security Most of today’s traction motors in battery electric vehicles (BEVs) are permanent magnet synchronous machines (PMSMs) that use interior permanent magnet (IPM) rotors with rare-earth magnets embedded in the rotor (automotive companies are starting to explore or even build other technologies, but that is a topic for […]
What Happens During Battery Thermal Runaway? As the world continues to move towards a more sustainable future, so does the popularity of electric vehicles. While the benefits of electric vehicles are many, one of the key challenges is ensuring that the battery packs used in these vehicles are safe and reliable. In the context of […]
Why Neural Networks are Effective in Machine Learning Neural networks are powerful machine learning [ML] models that can capture highly nonlinear relationships between inputs and outputs within a dataset while being computationally inexpensive to execute. The benefits of neural networks for modeling and simulation activities, using the simulation platform GT-SUITE, were covered in part 1 […]
Machine Learning and Modeling Simulation Machine learning [ML] models, such as neural networks and other types of metamodels, are fast-executing mathematical representations of data that serve a variety of modeling and simulation purposes, including: Replacing computationally expensive physics-based sub-systems in integrated simulation models (for instance, we are using GT-SUITE simulation models for the HVACR industry) […]
Environmental agencies, such as the EPA in the United States, play a vital role in controlling nitrogen oxide (NOx) emissions by setting limitations on airborne pollutants that harm public health and the environment. These standards have grown more stringent in recent years for heavy duty and/or road diesel trucks, particularly for engine-out NOx emissions, as […]
Streamlining BEV Drive Cycles Welcome to the second blog of this two-part series on how simulation platforms such as GT-SUITE can streamline the various drive cycles of battery electric vehicles (BEVs) to determine the range and adjustment factors. Read part one to learn more about how electric vehicle (EV) range guidelines are currently determined here. […]
How is Electric Vehicle Range Tested? Range anxiety is one of the biggest concerns of consumers when it comes to looking to purchase an electric vehicle (EV). Because of this, manufacturers of EVs need to have accurate range predictions to build trust and quell range anxiety. The determination of range for battery electric vehicles (BEV) […]
