Author: XU Liang
On September 28, at the “Hardcore dialogue – Coffee Intelligence 2.0 Technology Sharing Salon” event, three technical experts from Great Wall Motors comprehensively demonstrated the design concept of the new electronic and electrical architecture of Great Wall Motors.
With the rapid development of automobile intelligence, the number of ECUs inside the car continues to increase. Traditional distributed architecture cannot bear the load and causes difficulties in the development of system software functions with long cycles, which cannot meet the rapidly growing needs of users. In 2020, Great Wall Motors developed the GEEP 3.0 electronic and electrical architecture covering four domain controllers, including body control, powertrain chassis, intelligent cockpit, and intelligent driving. It has been mass-produced and applied to all models of Great Wall Motors.
To further concentrate the entire vehicle control software, Great Wall Motors integrates the entire vehicle software and hardware into a high degree, forming a next-generation new electronic and electrical architecture based on central computing and regional control – GEEP 4.0.
GEEP 4.0 adopts the SOA design concept, opens standard API interfaces, and achieves functional scalability, meeting the intelligent needs of users. Great Wall technical experts introduced: “Based on the SOA design, GEEP 4.0 will help the entire vehicle achieve full-life cycle function iteration and upgrade. Users can dynamically subscribe to upgraded vehicle service functions. At the same time can flexibly deploy intelligent scenarios, standardized interfaces can realize open services, and build the Great Wall Motors crowdsourcing ecology.”
GEEP 4.0 has three computing platforms: central computing, intelligent cockpit, and intelligent driving. Among them, central computing integrates body, gateway, air conditioning, powertrain/chassis control, and ADAS functions, with a main SOC computing power of 30 KDMIPS. At the same time, the central computing unit also has a visual processing chip solution, 18 channels of CAN FD, 4 channels of LIN, and 11 channels of on-board Ethernet, supporting 64GB storage and 1GB memory.
In terms of software architecture, microcontroller unit cores, high-performance computing cores, and middleware use different architectures. At the application software level, software systems such as big data, cloud diagnosis, and information security are integrated to achieve functional integration.
In terms of hardware architecture, GEEP 4.0 adopts a regional design, which integrates many vehicle hardware such as CEM, AC, and PDCU, optimizes the length of the harness, reduces the complexity of the entire vehicle line, and Great Wall technical experts stated: “Compared with GEEP 3.0, the number of ECUs in GEEP 4.0 has been reduced.”
In terms of security, GEEP 4.0 is constructed with a multi-dimensional full-stack security protection. Regarding network security, it has a CSMS system, and Great Wall Motors has built a comprehensive and deep defense security architecture that integrates encryption of internal hardware and communication encryption verification. In terms of platform security, Great Wall Motors’ customized operating system is independent of the hardware core and shares basic software platforms, ensuring software maintainability, reliability, and security. In terms of functional safety, Great Wall Motors integrates redundant perception, control, execution, power supply, and communication, which can fully meet ASIL D functional safety requirements. Regarding SOTIF (Safety of the Intended Functionality), GEEP 4.0 complies with the ISO 21448 system and covers aspects such as road environment and autonomous driving systems.
Currently, GEEP 4.0 has entered the product development stage and will be first integrated into Great Wall’s new electric and hybrid platforms, and gradually expanded to the entire product line. At the same time, the development of GEEP 5.0 has also been launched, which will realize the realization of a single brain for the entire vehicle, fully forming an intelligent robot, 100% SOA (service-oriented architecture), completing the construction of a standardized software platform for the entire vehicle, and is expected to be launched in 2024.
This article is a translation by ChatGPT of a Chinese report from 42HOW. If you have any questions about it, please email bd@42how.com.