China Intelligent Vehicle E/E Architecture Industry Report 2022: 14 Key Technologies and Innovative Layout from 24 OEMs –


DUBLIN–(BUSINESS WIRE)–Added China Intelligent Vehicle E/E Architecture Research Report, 2022 report Offer.

Key Technologies of Next Generation Electronic and Electrical Architectures (EEA)

The definition of next-generation E/E architectures includes: HPC with high computing power for the integration of vehicle cloud architectures; High-speed, high-bandwidth backbone network for cooperative computing between domains; service-oriented architecture (SOA), which enables software and hardware decoupling, generalized software/hardware architecture and standardized interfaces; complete development tool chain using the V-model development process; support for advanced L4 driving assistance; intelligent low-voltage power supply architecture.

We have summarized 14 key technologies for the development of next-generation E/E architectures. In the following, the advances in some key technologies are listed and analyzed:

Key technologies of EEA: complete development tool chain, advanced architecture standards and V-model based EEA development process.

There is currently no global automotive EEA standard. ISO 26262 Road Vehicles-Functional Safety, ISO/SAE 21434 Road Vehicles-Cybersecurity Engineering and GB/T 34590 Road Vehicles-Functional Safety, among others, provide a reference for the design and optimization of EEAs for the automotive industry.

In China, in April 2021, the Automotive Electronic and Electrical Architecture Working Group was reviewed and established at the second council of the third session of the China Industry Technology Innovation Strategic Alliance for Electric Vehicle. To date, experts from over 35 companies have participated, including OEMs, architecture solution providers, software companies, communications companies and providers of test tools and services.

In China, the formulation of automotive EEA standards is progressing very quickly. Several group or organizational standards have been submitted or published, including:

  • Data Distribution Service (DDS) test methods for Intelligent Connected Vehicles

  • Technical Requirements for Security of Automotive Ethernet Switch Devices

  • Technical requirements for time-dependent network middleware for vehicles

  • Software-defined vehicle service API reference specification 2.0

  • 11 Corporate Standards in SparkLink Release 1.0

  • Technical requirements and test methods for vehicle-specific short-range radio transmission systems

Key EEA Technologies: Computing power tends to be centralized and clustered in the cloud, allowing for the integration of vehicle cloud architectures.

Vehicles move in the direction of Brain-Inspired Intelligence + Central Nerves + Terminal Nerves. At present, semiconductor suppliers inside and outside China are developing and designing vehicle data center chips with powerful computing power for intelligent vehicles. These chips use multi-core parallel CPUs, GPUs for graphics and image processing, and AI accelerators. A case in point is NVIDIA ORIN, which has multitasking parallel computing capabilities to power cockpits, autonomous driving, AI, and more.

Eventually, in the future, when high-speed vehicle networks and 5G technologies mature, vehicles will tend to be based on centralized computers and a centralized EEA, and evolve toward cooperative vehicle cloud control; and computing power is centralized and clustered in the cloud to avoid the unlimited expansion of computing power of vehicle terminals.

Key technologies of the EUA: CP+AP AUTOSAR, SOA software, generalized software/hardware architecture and interface standards.

Vehicle software architectures are evolving towards a hybrid CP+AP-AUTOSAR software architecture. CP AUTOSAR is aimed at the vehicle control domain that requires high reliability and high real-time performance. AP AUTOSAR targets areas of intelligent driving and entertainment that require parallel processing of massive data. It also enables standardized design according to functional properties of interfaces, and integrates interface designs to build a common interface platform.

With SOA software, automakers enable open ecosystems for application service development (interfaces are open to the outside), scene feature development differentiation (combining and splicing any subservices), and rapid iteration of individual scene-based features (requiring only subservice reconfiguration). In Xpeng Motors’ X-EEA 3.0 architecture, SOA software is mainly applied to cockpit platforms.

Key technologies of the EEA: cross-domain communication protocols (SOME/IP and DDS), Gigabit Ethernet backbone network + TSN + switch and high-speed / high-speed communication network, combined to achieve high-speed communication and cooperation between domains count.

Body networks must meet performance requirements for the sheer volume of data, high-speed transmission, low latency, and high real-time performance. Backbone networks were Ethernet + CAN-FD high-speed networks and formed the basis for the cross-domain communication protocol SOME/IP + DDS. The mainstream communication middleware SOME/IP and DDS have their own advantages.

Besides communication middleware, vehicle cloud platforms currently favor using MQTT, a communication protocol that allows devices to easily and flexibly connect to IoT cloud services, such as B. Real-time online vehicle data analysis and monitoring, OTA, HD map applications, vehicle big data and Al analysis.

Key Technologies of the EEA: Vehicle-specific short-range wireless communications.

In China, the SparkLink Alliance was founded in September 2020. Following the launch of SparkLink Release 1.0 in late 2021, the Alliance rolled out testing tools and also began submitting SparkLink Release 2.0 2022H1. Several Chip members in the organization have created custom chip-based street signs and plan to launch commercial chips in 2022H2. Based on commercial chips, pioneers in major industries have formulated development plans for commercial terminals expected to come out in 2023.

“SparkLink” short-range wireless communication technology is widely used in: immersive vehicle noise zones and noise reduction, wireless interactive mirroring, wireless in-vehicle ambient lighting, 360-degree panoramic surround view, and wireless BMS (Battery Management System).

Cadillac LYRIQ is the first company in the world to introduce Wireless Battery Management System (wBMS), a breakthrough technology that reduces battery pack wiring harnesses and associated connectors and plug-ins by 90%, fundamentally eliminating the problem of wiring harness aging. At the same time, the interior space saved by fewer battery pack wiring harnesses allows for more flexible layout and configuration, and room for more chips to increase range.

Cadillac uses Analog Devices, Inc. (ADI) Wireless Battery Management System (wBMS) solutions. OEMs are increasing their pace in developing the EEA

Main topics covered:

1 Key Technologies of Automotive E/E Architecture Updates

1.1 Development of the automotive E/E architecture

1.2 Architectural Standardization

1.3 Complete Development Process

1.4 Supercomputing Chip and Vehicle-Cloud Integration Computing

1.5 AP AUTOSAR and SOA software

1.6 Communication architecture (SOME/IP&DDS)

1.7 Communication architecture (Wireless Short-Range Communication Technology)

1.8 Communication Architecture

1.9 Communication Architecture (High Speed ​​Gateway)

1.10 Automotive OS, Microkernel and Hypervisor

1.11 Security Technology

1.12 Tool chain

1.13 Zone Controller

1.14 Power architecture (redundancy strategy)

1.15 Energy architecture (intelligent low-voltage distribution network)

2 E/E architecture revolution for OEMs and Tier1s

2.1 Revolution of the business model between OEMs and Tier1 suppliers under new E/E architecture

2.2 Reference architecture of the E/E architecture development

2.3 E/E architecture comparison by OEMs

2.3.7 OEMs will focus on domain hybrid before 2025

3 E/E architecture of emerging automobile manufacturers

3.1 Tesla

3.2 XPeng

3.3 NOK

3.4Li car

3.5 Human Horizons


3.7 JIDU

3.8 net

4 E/E architecture of independent brands

4.1 Geely

4.2 Great Wall engine

4.3 GAC


4.5 SAIC

4.6 Changan

4.7 FAW Hongqi

4.8 Higher

5 E/E architecture of foreign brands

5.1 Volkswagen


5.3 Mercedes Benz


5.5 General Engines

5.6 Volvo

5.7 Nissan

5.8 Stellantis

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