Journal
IEEE ACCESS
Volume 9, Issue -, Pages 55742-55753Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3071500
Keywords
Engines; Task analysis; Tools; Multicore processing; Automotive engineering; Resource management; Software; Multi-core-based engine system; shared data inconsistency; core load balancing; memory and offset optimization technology
Categories
Funding
- Industrial Strategic Technology Development Program (Development of Front/Side Camera Sensor for Autonomous Vehicle) - Ministry of Trade, Industry, & Energy (MI, South Korea) [10080011]
- Korea Evaluation Institute of Industrial Technology (KEIT) [10080011] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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This paper focuses on the design of a multi-core migration methodology for engine ECUs and verifies its practicality and improved performance in real-world automotive applications. Demonstrating that with connectivity to other automotive domain ECUs, a multi-core engine ECU utilizing the migration technology can significantly enhance performance.
As multiple functions have been added to single-core-based engine electronic control units (ECUs) in vehicles, automotive researchers and manufacturers have actively studied multi-core architecture for engine ECUs. Multi-core architecture can provide load balancing and parallelism that can meet the requirements of international organization standard (ISO) 26262. However, since real-world engine ECUs have the most complex automotive open system architecture (AUTOSAR)-based control logic and datasets among automotive ECUs, developing multi-core-based engine ECUs is a substantial amount of work. Thus, automotive researchers and manufacturers will need new methodologies for multi-core-based engine ECUs. In this paper, we focus on designing a multi-core migration methodology and applying it to a real-world AUTOSAR-based engine ECU from HYUNDAI. We verify its practicability and enhanced performance. In conclusion, through connection with other automotive domain ECUs, it is demonstrated that a multi-core engine ECU using our migration technology can be applied in real-world automotive vehicles, leading to a significant improvement in performance.
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