Intelligent Vehicle Electronic and Electrical Architecture (EEA) and Technology Supply Chain Construction Strategy Research Report, 2025
E/E Architecture Research: 24 OEMs Deploy Innovative Products from Platform Architectures to Technical Selling Points
According to statistics from ResearchInChina, 802,000 passenger cars with domain fusion architectures were sold in 2025H1, accounting for 7.6%, followed by 640,000 passenger cars with quasi-central + zonal architectures with a share of 6.1% and 299,000 passenger cars with central + zonal architectures with a share of 2.8%. The penetration rate of "quasi-central + zonal" architectures and “central + zonal” architectures will reach 25.2% and 17.5% by 2030 respectively.
With the trend of cross-domain integration and the evolution of central + zonal architectures, OEMs are launching new technologies and products in multiple dimensions, including new EEA, intelligent cockpits, autonomous driving, intelligent powertrain and electric drive, intelligent chassis, intelligent thermal management, and intelligent body electronics. This report will focus on new technologies.
Cockpit-driving central computing domain architecture: Multiple "central + zonal" computing architecture forms adapt to vehicle models with different positioning
4-in-1 domain controller of Xiaomi YU7
The Xiaomi YU7, Xiaomi's first luxury high-performance SUV, utilizes an EEA that integrates the four core modules of a traditional distributed architecture - vehicle domain control unit, cockpit domain control unit, autonomous driving domain control unit, and T-Box communication module - into a central computing platform through four-in-one integration technology. This integration is housed on a 3.6kg motherboard, resulting in a 57% reduction in size, 75% fewer parts, and 15-minute OTA updates. Sentry Mode reduces power consumption by 40%, leading to an additional 16km of range for the vehicle. The design uses Qualcomm's 4nm Snapdragon 8 Gen 3 cockpit chip and Nvidia's Thor autonomous driving chip, supporting millisecond-level signal processing and multi-tasking in parallel.
The entire four-in-one domain control module consists of two boards: one is a CDC board based on Qualcomm Snapdragon 8 Gen3, and the other is an ADAS board based on NVIDIA Thor. The two boards use the same water-cooling structure housing. Sensor Configuration: 1L1R11V12U - 1*LiDAR, 1*4D radar, 4*surround view camera, 7*ADAS camera (2*front, 1*rear, 4*side), 12*ultrasonic radar.
Xiaomi YU7's four-in-one controller integrating the vehicle, T-Box, cockpit and autonomous driving adopts a liquid cooling design and consists of three PCBs: the core board of Qualcomm Snapdragon 8 Gen 3 (actually a mobile phone board using SiP for the processor and LPDDR5 DRAM), a cockpit motherboard, and an autonomous driving PCB. The cockpit motherboard and the core board of Qualcomm Snapdragon 8 Gen 3 are parallel to each other on one side of the cockpit motherboard via a BTB connector.
For the video input and output, Xiaomi YU7 was originally designed to use five 8-megapixel cameras and four 4-megapixel cameras. Therefore, three MAX96792 deserialization chips were designed, each of which could correspond to two high-frame-rate 8-megapixel cameras. In actual mass production, in order to reduce costs, two 8-megapixel cameras were used instead, plus nine 3-megapixel cameras and a 3-megapixel/5-megapixel in-vehicle DMS camera. In this way, only one MAX96792 chip was needed, and the other two were not externally connected. One MAX96712 chip corresponds to the in-vehicle DMS camera, and three MAX96724 chips correspond to nine 3-megapixel (actually 4/5-megapixel) cameras. Both of two video outputs involves MAX96781 for serial processing.
NVIDIA's Thor-X autonomous driving chip supports up to 128GB of memory. The Thor-U has about one-third fewer CUDA cores and Tensor cores, with the number of CPU cores reducing from 14 to 12.
Single-SA8775P cockpit-driving integrated computing platform of ARCFOX αT5
In October 2025, the single-SA8775P cockpit-driving integrated computing platform solution was implemented on ARCFOX αT5. The SA8775P cockpit-driving integrated computing platform solution, developed in collaboration with Zhuoyu Technology, integrates the cockpit and the autonomous driving system into a single chip, enabling direct data interaction, reducing transmission latency, and optimizing power consumption.
Hardware and software systems:
The underlying layer runs the automotive-grade QNX real-time operating system, which is responsible for all control links of autonomous driving;
The upper layer runs the Android cockpit system through virtualization technology, providing functions such as voice interaction and audio-visual entertainment. The two systems operate independently. Previously, communication between the cockpit and the pilot relied on a "translator," but now they can speak face-to-face. The link is shorter, the bandwidth is higher, the latency is lower, and the interaction is more responsive.
The integrated domain controller consumes approximately 60W and employs two water-cooling pipelines, thus helping the chip in high computing power and extremely strong heat dissipation.
The cockpit-driving integration solution reduces the overall vehicle cost by about 30%, improves space utilization by simplifying wiring harness layout and hardware integration, and simplifies maintenance.
Functionality:
Autonomous driving: Based on the Qualcomm Snapdragon 8775, an end-to-end foundation model is implemented to realize functions such as city NOA, highway NOA, cross-layer HPA, and APA. Its key subsystems include:
Zhuoyu's "Inertial Navigation Binocular?" System uses two 8-megapixel cameras and an IMU to directly output a "3D map with ultra-high pixel density," accurately reconstructing the surrounding environment with centimeter-level precision.
Zhuoyu's "High-Insight End-to-End Algorithm 2.0” encompasses perception, prediction, planning, and control in a model which is capable of handling advanced scenarios such as traffic light recognition, unprotected left turns, and lane changes in congestion.
Zhuoyu’s Enhanced OCC Dynamic Obstacle Completion Module can detect and avoid various types of obstacles without an existing database, providing higher stability when handling urban intersections and complex traffic congestion scenarios.
?Data training module sends back some driving data of production vehicles after each OTA update to the cloud for model retraining, resulting in 260 million video clips and 1.5 billion frames of raw images.
Cockpit multimodal foundation model can actively perceive all scenarios inside and outside the car, providing intelligent, convenient, emotional, and personalized proactive services. Leveraging the powerful performance of the Snapdragon 8775, it supports highly human-like "intelligent dialogue," creating a smarter "mobility companion" for users.
Intelligent Chassis Domain Architecture: Under the trend of cross-domain integration, AI intelligent chassis has become a key selling point for OEMs.
The essence of AI intelligent chassis is to achieve "all-scenario management" of vehicle dynamics through the collaboration of "sensors, algorithms and actuators". Multimodal sensors (such as cameras, lidar, radar, accelerometers, suspension travel sensors, etc.) can collect real-time data on "vehicle status" (such as pitch angle, roll angle, wheel torque) and "road environment" (such as speed bumps, potholes, and slippery road surfaces). After processing, the data allows the system to predict changes in the vehicle's attitude in advance.
Under different road conditions, such as potholes, gravel roads, slippery roads, or even sudden road debris (stones, traffic cones), the height and damping adjustment of the suspension system can provide support, vibration absorption, and even protection as needed. The pre-emptive system is key to intelligent suspension adjustment. It must not only see far, but also see clearly and in detail.
The pre-scan system uses binocular or even trinocular cameras or lidar to scan the road ahead in real time. Some vendors also establish a cloud-based road condition data layer to comprehensively analyze real-time data and cloud data.
In July 2025, XPeng released the "Taiji AI Chassis". Through a three-in-one control architecture of intelligent perception, cloud-edge collaboration, and self-learning algorithms, it forms a highly collaborative closed loop in the perception-decision-execution link, achieving dynamic response to comfort and providing electric SUVs with an experience far superior to traditional chassis in complex urban environments.
Five core AI algorithms and software capabilities:
Intelligent speed bump recognition: It can identify speed bumps on the road in advance and automatically adjust the vehicle speed and chassis status.
Intelligent bumpy road section recognition: It achieves precise adjustment through lane-level bump perception and recording.
6D anti-motion sickness: Combining multi-dimensional sensor data, it adjusts the vehicle's posture in real time, effectively reducing the incidence of motion sickness.
Intelligent uneven pavement recognition: It accurately senses the unevenness of the pavement and adjusts chassis parameters in a timely manner based on cloud data updates.
Intelligent obstacle recognition: During driving, it promptly identifies obstacles ahead, provides early warnings, and takes corresponding chassis adjustment.
Perception and actuation capabilities:
It supports early detection up to 200 meters away and has lane-level bump perception and recording capabilities.
It supports 1000 scans per second and completes adjustment within 300 milliseconds.
The cloud-based turbulence layer is updated 24 hours a day, and new features can be iterated in as fast as 21 days.
XPeng G7's Taiji AI chassis can generate a 24-hour cloud-based bump map. The data can be used to provide alerts to other XPeng vehicle models, helping drivers make better driving decisions, whether manually or with ADAS.
In October 2025, Leapmotor's newly released flagship model, the D19, was equipped with LMC 2.0, which includes features such as a high-speed dual-wheel tire blowout stability system, Active Pre-emptive Lingbo Weibu Technology, one-button leveling for air suspension, three-motor compass turn, and tire blowout stability control.
The MK C2, which is the second-generation integrated (one-box) brake system from AUMOVIO (formerly Continental), is used.
Bosch offers the R-EPS parallel-axis system.
The dual-chamber closed air suspension solution supplied by KH Automotive Technologies adopts semi-active suspension with CDC.
The chassis domain controller adopts the self-developed LMC 2.0. By integrating braking, steering, drive, and suspension control, millisecond-level response can be achieved, enabling features such as dual-wheel tire blowout stability, Active Pre-emptive Lingbo Weibu Technology, one-button leveling, compass turn, zero-motion turn, anti-motion sickness mode, anti-slip on wet roads, high-speed cornering pre-stabilization, dynamic steering assist, and active anti-aiming. Therefor, the vehicle's chassis handling pleasure and ride comfort can be comprehensively enhanced.
Intelligent powertrain domain: development towards integrated intelligent control of drive, braking, steering, and suspension subsystems.
With the rapid development of autonomous driving, the requirements for powertrain domain latency in vehicles are becoming increasingly stringent. The powertrain domain will move from the current electrification of the drive system to the comprehensive electrification of the drive, steering, suspension, braking and other systems.
In the future, the power chassis domain will have a "cerebro" through the integrated intelligent control of various subsystems for drive, braking, steering, and suspension, enabling safer, more comfortable, and more agile handling of the vehicle in all scenarios.
As E/E architectures evolve towards centralization, systems such as braking, steering, and suspension are gradually decoupled into electronic control units (such as brake-by-wire and steer-by-wire), and multi-dimensional collaborative control is achieved through the central ECU.
Changan Automobile deeply integrates and coordinates drive, brake, steering, and suspension, providing unlimited possibilities for intelligent scenarios. It can make cars realize scene functions such as in-situ U-turns, automatic drifting, and racing games, and provide fast, accurate, and redundant actuation for autonomous driving scenarios.
Mercedes-Benz's "In-Drive" brake system for electric vehicles integrates the brakes into the electric motor drive units on both the left and right sides, eliminating traditional wheel-mounted brakes, further realizing the integration of drive and braking at the physical and system levels.
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