Editorial preview September/October issue 2021

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Advertising deadline: September 17, 2021
Publication date: October 14, 2021

 

Semiconductors

Source: JYPIX AdobeStock_427915047

Easier motor and engine control for hybrids

Both PHEVs and FHEVs are highly complex in terms of the cooperative control strategy followed by their electric motor and combustion engine. This is just as true for the electronics as it is for the electromechanical components. Using a microcontroller with integrated xEV features can make control much less complex thanks to dedicated hardware accelerator functions for mathematical vector calculations.


The difference between GaN and SiC transistors

GaN and SiC power transistors are competing with tried-and-tested Si LDMOS power MOSFETs and superjunction MOSFETs. They are used in applications such as OBCs, DC-to-DC converters, motor drivers, and lidar systems. Although GaN and SiC are similar in several respects, they also have some significant differences. The article compares the two and shines a light on some of the facts that will be helpful for your next automotive design project.


On-Board Network / Architecture

Source: metamorworks AdobeStock_95442549

PCIe for zonal architectures

To enable distributed processing in zonal architectures, the automotive data backbone has to use high-speed interfaces that support a high bandwidth and minimal latencies. In particular, an ultra-low latency is crucial if the shared-use data is required for safety-critical real-time processing. The Peripheral Component Interconnect Express (PCIe) ecosystem is enjoying growing popularity. The article explores the industry trends relating to backbone architectures in the automotive sector, focusing on the benefits gained and compromises made when choosing PCIe over other interface technologies.

 


Sensors

Source: metamorworks AdobeStock_129624359

See further with lidar thanks to tracking

A detailed 3D map of various dynamic objects is generally regarded as essential in order to achieve a high level of safety for (semi-)autonomous vehicles. Lidar sensors are felt to be a helpful system to have on board a vehicle as they are capable of generating detailed maps. However, this kind of sensor has its limitations: An object can only be detected while enough light from it is being captured, as only then can the modified filter distinguish this signal from the background noise. An innovative “firefly” tracking method enables the lidar system to detect objects nearly 300 m away.


Tools

Source: Gorodenkoff AdobeStock_305628507

Verifying automotive systems – a mammoth task

The vehicles of the future will be built on many different technologies coming together. Electrification, sensors, connectivity, cloud computing, big data, AI – they are all closely connected to the functional safety of and driver-assist features in autonomous vehicles. There are literally millions of scenarios that have to be checked, each of which comes with its own variations. All of this combines to present a verification project that could never realistically be handled by physical means. However, the problem is ideally suited to verification tools, which can make this process manageable. A combination of realistic scenario modelling, simulation, and mechatronic verification is geared toward getting a new vehicle onto the road quickly and efficiently.

Making better use of existing data

How can you use data that should already be there in principle to improve a product and ensure a consistently good level of quality in order to avoid failures in the field and recalls? A corresponding tool promises to provide a valuable service in this regard. The story of how it works is told in an article in AUTOMOBIL-ELEKTRONIK 09-10/2021.


Henning Frank
Head of Sales
Frank Henning
 
Marion Taylor-Hauser
Austria, Great Britain, Ireland, USA, Canada:
Marion Taylor-Hauser
 
Katja Hammelbeck
Switzerland, Liechtenstein:
Katja Hammelbeck
 
 

 

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