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Research on Monitoring and Fault-Tolerance Scheme Based on AUTOSAR Adaptive Platform
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Yuan Zhu1, Qianxiang Zhao1, Biao Zhang2, Chengding Bi2
Automotive Digest | 2024, (6) : 11 - 23
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Automotive Digest | 2024, (6): 11-23
Research on Monitoring and Fault-Tolerance Scheme Based on AUTOSAR Adaptive Platform
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Yuan Zhu1, Qianxiang Zhao1, Biao Zhang2, Chengding Bi2
Affiliations
  • 1 School of Automotive Engineering, Tongji University, Shanghai 201804
  • 2 Commercial Vehicle Development Institute, FAW Jiefang Automobile Co., Ltd., Changchun 130011
Published: 2024-06-05 doi: 10.19822/j.cnki.1671-6329.20240021
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To address the lack of effective monitoring and fault tolerance mechanisms in the service-oriented AUTOSAR Adaptive Platform (AP) and to ensure high stability and safety of the software system in case of faults, this study takes the automotive basic software platform AP as the research object. A complete monitoring and fault tolerance mechanism is designed through the Automated Valet Parking (AVP) software system. By analyzing traditional software architectures, other service-oriented architecture monitoring solutions, and the characteristics of AP, a monitoring scheme for AP is designed to supervise the platform infrastructure (processors, networks, memory) and service states (response times). A data display module developed with Qt, using the LT protocol, implements the collection and display of real-time monitoring data. Furthermore, a service call chain tracing method supporting the SOME/IP protocol is proposed, enabling analysis of complex service call relationships within service-oriented architectures. The results indicate that the scheme can monitor and analyze service failures within the AVP software system and implement fault tolerance mechanisms in case of failures, thus enhancing system reliability.

AUTOSAR  /  Service-oriented architecture  /  Platform monitoring  /  Fault tolerance mechanism
Yuan Zhu, Qianxiang Zhao, Biao Zhang, Chengding Bi. Research on Monitoring and Fault-Tolerance Scheme Based on AUTOSAR Adaptive Platform[J]. Automotive Digest, 2024 , (6) : 11 -23 . DOI: 10.19822/j.cnki.1671-6329.20240021
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doi: 10.19822/j.cnki.1671-6329.20240021
  • Online Date：2025-11-25
  • Published：2024-06-05
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Affiliations
    1 School of Automotive Engineering, Tongji University, Shanghai 201804
    2 Commercial Vehicle Development Institute, FAW Jiefang Automobile Co., Ltd., Changchun 130011
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