Achieving Accurate and Comprehensive Machine Learning Modeling for CFD Applications

Computational fluid dynamics (CFD) simulations are subject to a variety of uncertainties such as initial conditions, boundary conditions, and choice...

How AI Can Revolutionize FMEA Development

Artificial Intelligence (AI) is already a transformative force in our daily lives. From virtual assistants like the Google Assistant, Siri, and Alexa, to personalized recommendations on...

The Future Role of Hybrids in Off-Highway Vehicles

Hybrid electric drive systems are not necessarily limited to intermediate-technology status. When paired with low-carbon alternative fuels, they can be longer-term solutions...

Improving EV Performance, Efficiency, and Range with Multi-Functional Shift Systems

Electric vehicle (EV) drivetrain systems are being redefined — creating next-generation propulsion systems as the EV market rapidly grows. These...

Seamless Integration of Safety Operating Systems up to ASIL D/SIL 3

All automotive ECUs depend heavily on operating systems (OS) to manage multiple applications and hardware components. Ongoing complexity of ECUs is on the rise and,...

Next Steps in EV Transmission Development

Many traction-motor operating ranges are well-suited to light-vehicle applications – and even many commercial vehicles – without the need for multi-ratio transmission. Or are they? This...

Inspecting Automotive Components at Scale With Industrial X-ray CT

Automotive recalls are on the rise, prompting suppliers and automakers to find new technologies that can identify quality problems earlier in design and manufacturing...

The Evolution of Cellular Vehicle-to-Everything and Connected Vehicles

With cellular-vehicle-to-everything (C-V2X) technology, vehicles can communicate directly with other vehicles as well as infrastructure, resulting in safer and...

5 Tips for a Successful Transition to R-1234yf

There has been a notable shift in automotive refrigerants, with R-1234yf continuing to replace R-134a in new vehicles. Boasting significant environmental benefits over its predecessor,...

Machine Learning for Multi-Physics Automotive Simulation

Undoubtedly, fast and accurate battery models are crucial for various applications such as electric vehicles, renewable energy storage, and portable electronics. Machine...

Accelerated SDV Development: Virtual Prototypes of Vehicle Super-Integration Processors

To adapt to new customer demands such as convenience, safety, autonomy, and electrification, the automotive industry is moving to...

Virtual Twin as an Accelerator of ADAS and AD Development

The automotive sector faces deep transformation — autonomous driving (AD) and advanced driver assistance systems (ADAS) represent a critical domain in the change ahead....

Product Compliance Challenges for Wireless Radio Devices in Vehicles

Designing wireless products for normal commercial environments is well understood by most designers. However, because vehicle regulations are different from the...