Category: commercial vehicle

accessory drive machine learning simulation|dynamic machine learning simulation|neural network structure|predicted vs. target stored ammonia coverage and NO outlet mass flow rate|dynamic and static neural networks|metamodel predictions of battery thermal performance simulation|battery call model simulation|Transient neural network predictions of voltage and state of charge (SOC)|neural network structure|machine learning simulation|||neural network and a linear interpolating lookup map|doe simulation|||machine learning neural networks simulation|GT-SUITE accessory drive model|Torsional and Transverse Vibration in an Accessory Drive|belt tension and global slip simulation|Main Effects Plots for Specified Attributes or Inputs Ranking|Variational Analysis for Specified Attributes|belt tension and global slip simulation

Leveraging Machine Learning for Early Design Decisions on an Accessory Belt Drive Simulation

There are various challenges faced by an automotive engineer while designing a robust and optimized accessory drive system. Most original equipment manufacturers (OEMs) rely on different suppliers for their engine belt(s) and accessories (e.g. water pumps, alternators, A/C compressors, etc.). This leads to challenges in obtaining a comprehensive set of input data to incorporate in […]

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dynamic machine learning simulation|machine learning neural networks simulation|||||neural network and a linear interpolating lookup map|doe simulation|machine learning simulation|neural network structure|Transient neural network predictions of voltage and state of charge (SOC)|battery call model simulation|metamodel predictions of battery thermal performance simulation|dynamic and static neural networks|predicted vs. target stored ammonia coverage and NO outlet mass flow rate|neural network structure

Dynamic Machine Learning for Modeling and Simulation

Incorporating Dynamic Metamodeling Simulation To save computational time, engineers are persistently trying to speed up physical models, and some situations absolutely require faster simulation speeds. These situations might include more advanced co-simulation tasks, performing model-based optimization on a slower physical model, or the need to have a surrogate model for XiL (X-in-the-Loop) applications or to […]

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|GT SUITE and SUMO traffic simulation|Co-simulation GT SUITE SUMO vs SUMO|co simulation GT-SUITE and SUMO EV example|co simulation GT-SUITE|simulate driving in traffic|NASA hydrogen rocket simulation|||

Gamma Technologies and GT-SUITE: Pioneering the Future of Simulation

Unveiling the Power of GT-SUITE This year, Gamma Technologies celebrated a significant milestone: its 30th anniversary. Since its inception in 1994, Gamma Technologies has been at the forefront of engineering simulation, revolutionizing how industries approach design and innovation. At the heart of this transformation is GT-SUITE, the company’s flagship systems simulation software that has become […]

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GT SUITE and SUMO traffic simulation|||NASA hydrogen rocket simulation|simulate driving in traffic|co simulation GT-SUITE|co simulation GT-SUITE and SUMO EV example|Co-simulation GT SUITE SUMO vs SUMO

Simulating Real Driving Maneuvers in Traffic using SUMO and GT-SUITE

The Need for Realistic Vehicle Operating Conditions   In an era where mobility is becoming increasingly electrified, new engineering strategies are needed to properly optimize an entire vehicle system for both fuel and energy saving potential that account for a multitude of driving scenarios.  Especially during local commutes with traffic, being able to predict both […]

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epa tailpipe rule|system simulation

How Will Electric and Hybrid Vehicle Development Be Impacted by the Softening of US Rules

Governmental Regulations Impacting Automotive OEMs In recent news, new vehicle tailpipe governmental regulations in the United States have softened for original equipment manufacturers (OEMs) development of electric vehicles (EVs) and hybrids (HEVs).  The Department of Energy has significantly slowed the phase-out of existing rules that give automakers extra fuel-economy credit for electric and hybrid vehicles […]

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fuel cell systems simulation|fuel cell simulation|

Understanding Fuel Cell Systems Simulation for Vehicle Integration

In Episode 3 of the Gamma Technologies Tech Talk podcast, the team delved into the world of fuel cell systems simulation and its integration with gas turbines (GT). Navin Fogla, PhD (Senior R&D Manager, Reactive Flow Systems) and Jake How (Senior Staff Application Engineer, Reactive Flow Systems), shared insights into the mechanics behind this advanced […]

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hydrogen simulation|ethanol simulation|methane simulation|methanol simulation|methanol fuel reformer|methanol simulation|methanol fuel reformer|methane simulation||methanol reformer simulation||

How to Model Fuel Reformers with Simulation

Addressing the Evolving Needs of Powertrain Engineering Through Simulation As the powertrain market begins to pivot from traditional diesel and gasoline engines towards hydrogen engines and fuel cells, there is the open question of how to provide hydrogen to these new powertrains. In the short term, it seems that converting an available hydrocarbon fuel to […]

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top 10 gt suite blogs 2023|top 10 blogs gamma technologies

Top 10 Gamma Technologies Blogs of 2023!

From calculating EV range to heat pump design, there is a blog for every simulation!  As we kick off 2024, let’s look back at the best blogs of 2023! Since the inception of Gamma Technologies, GT-SUITE has optimized system simulation solutions for manufacturers! In no order, these are the top 10 blogs written in 2023 that […]

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