Automotive
The Impact Of Generative AI On The Future Of Automotive And EVs
– Advertisement – Autonomous vehicles, connected ecosystems, and smart factories are only the beginning. Generative AI is pushing the auto industry beyond predictions into a bold era of creativity — from EV design to real-time diagnostics and showroom automation. Here is how GenAI is reshaping innovation across the automotive value chain. Let us start with…
Power Tips #144: Designing an efficient, cost-effective micro DC/DC converter with high output accuracy for automotive applications
The ongoing electrification of cars brings new trends and requirements with every new design cycle. One trend for battery electric vehicles is reducing the size of the low-voltage batteries, which power either 12-V or 48-V systems. Some auto manufacturers are even investigating whether it’s possible to eliminate low-voltage batteries completely. Regardless, you’ll need isolated high-…
Power Tips #143: Tips for keeping the power converter cool in automotive USB PD applications
Today’s car buyers, whether purchasing premium or economy models, expect to charge multiple devices simultaneously through in-vehicle USB ports. To meet this demand, automakers are replacing legacy USB Type-A ports with multiple USB Type-C ports that support the latest USB power delivery (PD) standards. These standards enable significantly higher power levels—up to 48 V and…
LED Pixel Lighting: Promising Brighter Automotive Lighting
– Advertisement – Reimagining headlights as smart, stylish, and sustainable systems, LED pixel lighting is transforming how vehicles see and are seen, blending safety, design, and cutting-edge control. An LED pixel light controller is an electronic device or system that manages and synchronises the colour, brightness, and pattern of LED pixels in a vehicle’s lighting…
Automotive insights from CES 2025
OEMs are shifting from installing black box solutions that specialized functions in the more conventional domain architecture to a zone architecture and a function-agnostic processing backbone where each node handles location-specific data. Along with this trend, there is a push towards optimizing sensor functions, fusing multimodal input data with ML for contextual awareness. Sensors no…