OEMs are ramping up mass production of new E/E architectures, domain controllers will be a big beneficiary

DUBLIN, September 9, 2022 /PRNewswire/ — The “Autonomous Driving Domain and Cockpit Control Unit (DCU) Industry Report, 2022 (I)” report has been added to from ResearchAndMarkets.com offer.

Automakers are accelerating mass production of new E/E architecture platforms, and domain controller penetration is increasing.

In addition to emerging automakers early adopting new domain controller architectures, conventional automakers have also accelerated the pace of using domain controllers in vehicles. Typical architectures include Geely Sustainable Experience Architecture (SEA), GAC Protoss Architecture, Great Wall E/E Platform (GEEP), BYD E3.0 Platform and Volkswagen E3 Architecture.

As part of development planning, after achieving mass production of centralized domain controller architectures in 2021-2022, most OEMs will produce cross-domain fusion architectures in quantities between 2022 and 2023, and are expected to generate centralized architectures from 2024 to 2025.

As OEMs ramp up mass production of new E/E architectures, domain controllers will be a big beneficiary. Taking the example of self-driving domain controllers, our statistics show that in 2021, at least 33 OEMs had more than 50 production vehicle models equipped with self-driving domain controller products, and the number of those models production will increase in 2022.

According to the publisher, China shipped 539,000 self-driving domain controllers for passenger cars in 2021, with a penetration rate of 2.7%, a figure that is expected to exceed 5% in 2022. It is conceivable that in 2025, annual shipments will reach 4.523 million sets, and the penetration rate will jump to 18.7%; the main driver will be the surge in shipments of L2+ integrated driving and parking domain controllers.

At present, more than 18 vendors have launched more than 20 L2+ driving and parking integrated domain controllers. In 2022, NOA is to be mounted on large-scale vehicles. In addition, lightweight integrated driving and parking solutions using TI TDA4 and Horizon J3 chips have reduced costs by 30%-50% compared to NVIDIA Xavier solutions, helping “NOA+ automated parking” solutions to fully cover the passenger cars whose price is between 100,000 RMB and 200,000 RMB. The growing number of passenger cars will support L2+ driver assistance features such as ramp-to-ramp highway pilot, automated parking and home AVP.

L3/L4 high-computing domain controllers with embedded high-computing chips, for example, NVIDIA ORIN-X, Horizon J5, Huawei Ascend 610, EyeQ6, Qualcomm Ride (8540+9000) and Renesas V3U, support support high-precision sensors like LiDAR, 4D radar and multiple 8MP cameras, enabling smart driving in all highway, city and parking scenarios. Currently, they are already in the initial phase of small batch shipments and are largely mounted on more than 300,000 RMB high-end models.

As for autonomous driving, taking Neusoft Reach as an example, it offers the following autonomous driving domain controller products:

Neusoft Reach’s next-generation core computing platform for autonomous driving based on the Horizon Journey5 chip supports access to multi-channel LiDARs, 16-channel high-definition cameras, radars, and ultrasonic radars, enabling a 360° perception redundancy for the entire vehicle. The platform provides L3/L4 autonomous driving functions based on an open SOA and NeuSAR, the core software self-developed by Neusoft Reach;

Neusoft Reach’s integrated driving and parking domain controller for autonomous driving allows access to 5 to 10 channels of high-definition cameras, 5-channel radars and 12-channel ultrasonic radars, the cameras of which deliver up to at 8 megapixels. The integration of parking and driving functions and the sharing of sensors improve the perception capability for L2+ autonomous driving. Thanks to the predefined basic software and the autonomous driving-specific middleware, the SOA-based software architecture provides developers with a range of development tools;

Neusoft Reach’s X-Box3.0 domain controller enables mass production and application of L0-L3 autonomous driving for multiple scenarios, including multiple function combinations such as indoor/outdoor scenario, driving scenario L2-L3 and the L3+ parking scenario. This intelligent driving controller has been designed for several production models, and will be mass-produced and marketed in 2022.

In April 2022, Neusoft Reach introduced a software development platform for domain controllers – NeuSAR DS (Domain System). As a complete underlying software development platform, verification system and tool chain for domain controllers (central domain, cockpit domain and intelligent driving domain), NeuSAR DS is designed for OEMs and offers all general software functions between the hardware and application layers.

The platform provides a wealth of software development and debugging tools, virtualization validation systems, embedded systems, environment deployment services (e.g. IDE), commercial POSIX operating system and third-party OS integration, as well as BSP chip and secure boot solutions.

Main topics covered:

1 Evolution of automotive electronic and electrical architecture (EEE)
1.1 Four Dimensions of Automotive EEE Upgrade: Software Architecture, Hardware Architecture, Communication Architecture, and Power Architecture
1.2 Domain integration platform and vehicle computing platform in the evolution of automotive EEE
1.3 Evolution of the automotive EEA over the next decade
1.4 OEMs accelerate upgrade and mass production in the EEA (1)
1.5 OEMs accelerate upgrade and mass production in the EEA (2)
1.6 EEA and OEM Next Generation Domain Controller Layout (1)
1.7 EEA and OEM Next Generation Domain Controller Layout (2)
1.8 EEA and OEM Next Generation Domain Controller Layout (3)
1.9 EEA and OEM Next Generation Domain Controller Layout (4)

2 Evolution of domain controller software and hardware architectures and business models
2.1 Domain Controller Hardware Design
2.2 Domain Controller Software Design
2.3 Domain controller design and production models
2.4 Domain Controller ODM/OEM Production Model

3 Autonomous Driving Domain Controller Technology and Market Research
3.1 Evolution of autonomous driving and domain controller
3.2 L2+ Driving and Parking Integrated Domain Controller Solutions
3.3 L3/L4 Autonomous Driving Domain Controller Solutions
3.4 OEM Autonomous Driving Domain Controller Software and Hardware Solutions
3.5 Tier 1 Vendor Autonomous Driving Domain Controller Solutions
3.6 Autonomous Driving Domain Controller Software Vendor Solutions
3.7 Autonomous Driving Domain Controller SoC Solutions
3.8 Benchmarking of Autonomous Driving Domain Controller Technology
3.9 Autonomous Driving Domain Controllers End Markets: Passenger Cars
3.10 Autonomous Driving Domain Controllers End Markets: Commercial Vehicles
3.11 Autonomous Driving Domain Controller End Markets: Autonomous Delivery Vehicles

5 foreign domain controller providers
5.1 Bosch
5.1.1 Creation of the Cross-Domain Computing Solutions Division (XC Division)
5.1.2 Structure and presence of the XC division in China
5.1.3 Other Integrated ETAS Software Activities
5.1.4 Cockpit Domain Controllers Product Development Trends
5.1.5 Cockpit Domain Controller Platform: Autosee 2.0
5.1.6 Cockpit Domain Controller Platform: Autosee 2.0 System Architecture
5.1.7 Domain controllers: technical solutions and advantages (1)
5.1.8 Domain controllers: technical solutions and advantages (2)
5.1.9 Cockpit Domain Controller Platform: Innovations and Benefits
5.1.10 Cockpit domain controller platform: jointly developed with Autolink
5.1.11 Intelligent Cockpit Cross-Domain Fusion: system architecture of fusion control products (1)
5.1.12 Intelligent Cockpit Cross-Domain Fusion: system architecture of fusion control products (2)
5.1.13 Intelligent Cockpit Cross-Domain Fusion: Fusion Control Products System Architecture Roadmap
5.1.14 Autonomous Driving Domain Controllers: Product Development Trends
5.1.15 Autonomous Driving Domain Controllers: Evolution of DASy Technology
5.1.16 Autonomous Driving Domain Controllers: L1-L4 Development Planning
5.1.17 Autonomous Driving Domain Controllers: Planning Computing Power Development
5.1.18 Autonomous Driving Middleware: Iceoryx
5.2 Visteon
5.3 Continental
5.4 Veoneer
5.6 Aptiva
5.7 Denso
5.8 Faurecia Clarion
5.9 Panasonic
5.10 Harmon
5.11 LG Electronics
5.12 Tesla
5.13 Marelli
5.14 TT Tech

For more information on this report, visit https://www.researchandmarkets.com/r/g43vw6

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