Design and Implementation Process of an Intelligent Automotive Chassis Domain Controller System Based on AUTOSAR

With the rapid development of intelligent automobiles, the chassis serves as an essential carrier of intelligence and a necessary condition for achieving high-level autonomous driving. Its electronic and electrical architecture is evolving toward centralized development, which is also significantly increasing the complexity of system functions. Meanwhile, with the integration of more sensors and an increase in data volume, stricter requirements have been placed on software scalability, portability, and maintainability. This paper presents a system software design and implementation approach for the chassis domain controller by integrating the AUTOSAR standard with model-based design (MBD). The developed software is subsequently deployed on a domain controller hardware platform based on the Renesas u2a16 chip for integrated testing. The software algorithm development, model-in-the-loop (MIL) testing, hardware-in-the-loop (HIL) testing, and real vehicle calibration processes are described in detail, focusing on the roll stability control software component in the chassis domain controller. A detailed definition of the toolchain for each development stage is also provided. The feasibility and effectiveness of the proposed chassis domain controller software system development process, based on the combination of the AUTOSAR standard and model-based design, are validated through test results. This method effectively achieves software-hardware decoupling and enhances software scalability, module reusability, and reliability, which is of great significance for improving the efficiency and iteration of chassis domain controller development.

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Publication Details

Journal
Sensors
Published
2025-08-14
DOI
https://doi.org/10.3390/s25165056
Citations
3
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
3.64

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article

Design and Implementation Process of an Intelligent Automotive Chassis Domain Controller System Based on AUTOSAR

Yanlin Jin, Yinong Li, Guangxuan Li, Ling Zheng et al.
3 citations
Sensors
Industrial Technology and Control Systems
3.64
article

Design and Implementation Process of an Intelligent Automotive Chassis Domain Controller System Based on AUTOSAR

Yanlin Jin, Yinong Li, Guangxuan Li, Ling Zheng, Xiaoyu Huang
article en
3 citations

Abstract

With the rapid development of intelligent automobiles, the chassis serves as an essential carrier of intelligence and a necessary condition for achieving high-level autonomous driving. Its electronic and electrical architecture is evolving toward centralized development, which is also significantly increasing the complexity of system functions. Meanwhile, with the integration of more sensors and an increase in data volume, stricter requirements have been placed on software scalability, portability, and maintainability. This paper presents a system software design and implementation approach for the chassis domain controller by integrating the AUTOSAR standard with model-based design (MBD). The developed software is subsequently deployed on a domain controller hardware platform based on the Renesas u2a16 chip for integrated testing. The software algorithm development, model-in-the-loop (MIL) testing, hardware-in-the-loop (HIL) testing, and real vehicle calibration processes are described in detail, focusing on the roll stability control software component in the chassis domain controller. A detailed definition of the toolchain for each development stage is also provided. The feasibility and effectiveness of the proposed chassis domain controller software system development process, based on the combination of the AUTOSAR standard and model-based design, are validated through test results. This method effectively achieves software-hardware decoupling and enhances software scalability, module reusability, and reliability, which is of great significance for improving the efficiency and iteration of chassis domain controller development.

SensorsVol. 25(16)
Chongqing University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
Industrial Technology and Control Systems
3.64
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Design and Implementation Process of an Intelligent Automotive Chassis Domain Controller System Based on AUTOSAR — Yanlin Jin, Yinong Li, et al. · Sensors (2025) | TGRS Research Map | TGRS