Automotive NetworkingSource: 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

Introduction

We increasingly hear about centralizing the processing power in cars down to two processors. One to handle all communications with the driver, and the other to process the autonomous driving functions. This could  enable significant learning for vehicles thought. For this we have two or three  processors to look at the proportions of data made by the cameras and sensors in next generation  vehicles. This is to make sense on how to drive the vehicle even more safely and reasonably.

This inquiry addresses some completely different focuses. For example: electrical and electronic framework engineering, sourcing technique via vehicle creators for system on a chip. Next generation vehicles are more and more being characterized as a product stage more  than instrument stage. Structures and system on a chip advancements are acceptable subjects to speak concerning, after we take a glance at ECU. It should not be concerning physical imperatives that vehicle creators ought to manage like weight, and house necessities. The pattern towards ECU union is definitely occurring. This may originate running essential extra cables round the vehicle, together with weight and value.

Another issue in next generation vehicles is whether to have an ethernet spine for information coursing through the vehicle. That absolutely works well, yet it won’t trade CAN and LIN correspondences for things like entryway, mirror and seat control. The primary body hardware works to make up a worth paying attention to vehicle’s ECU arrangement. That is the reason new participants to the car business with electric vehicles have to oversee vehicle weight. This is considered pertinent when we think about new vitality.

Finding a sweet spot to a multidimensional program  

It rapidly becomes clear that the issue is multi-dimensional. How to put up the most recent car advancements for sale to the public quicker on spending plan is a million dollar question now. One way is to downplay the vehicle weight and utilize many years of heritage programming and system equipment . These two mega register processors tend to just piece of this and apparently make a wide range of new issues. https://blog.bitsathy.ac.in/who-owns-the-road-the-iot-connected-cars-of-today-and-tomorrow/

 

Consolidation: Slowly but Surely

The way to integrate might be engaging, and have money saving advantages on paper. However pressing out those advantages implies a total recompose of the present electrical engineering frameworks. This is something that next generation vehicle creators don’t care for.

  1. Will the infotainment head unit and driver framework merge?
  2. Will we see ECU consolidation driving vehicle networks from >100 processors in-vehicle to only 2, 5 or even 10?

Consider the parts of system on a chip structure, and the difficulties of running a vehicle from two principle processors. Getting a car level  on to a street isn’t equivalent to getting it into a cell phone. The processor should  be well secured from external attacks. This is certainly not a minor assignment and there are a bunch of organizations who can give these processors a try.

The intelligence of the next generation vehicles (NGC) takes at an improvement  in the field of cutting edge driver. It helps frameworks for street vehicles just as the field of arranged and mechanized street vehicles. Often most of them are inserted in human focused plan forms and are supported by interdisciplinary groups.

Conclusion

The question of reducing the no of ECU’s in a car is still a valid one from a perspective, but it doesn’t capture the reality of EE car design today and the challenges that car makers face. A streamlined vehicle is imaginable only if all the various orders contribute with a creative innovation. Sweeping up all the ECU’s into handful of powerful processors sounds like a great idea for a prototype architecture. But making it work is a different question, as OEM’s well understand. This is why the current hot topic of deep learning on cars for ECU consolidation is a great subject to talk about. But at first there are a few engineering design constraints that need to be considered. It will be an interesting road to get there, but we aren’t there just yet.

image sources