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Document details - ECU Communication using AUTOSAR through SOMEIP

Journal Volume 11, Issue 4, July - August 2022, Article 9992274 Adarsha Kashyap H M, Dr. Usha Rani K R, Yogeshwar Bawisker , " ECU Communication using AUTOSAR through SOMEIP" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 11, Issue 4, July - August 2022 , pp. 005-010 , ISSN 2278 - 6856.

ECU Communication using AUTOSAR through SOMEIP

    Adarsha Kashyap H M, Dr. Usha Rani K R, Yogeshwar Bawisker


Abstract: The emerging technologies like automated-driving, Vehicle-2-X, firmware updates over-the-air and vehicles as partof the internet-of-things, raise the complete new developments in the software platform for the design of next-generation Electronic Control Units (ECUs) and also the all-time increase of user- demands and expectations require a standardized software platforms to follow the trending developments. The previous implementations and development using Classic AUTomotive Open System ARchitecture (AUTOSAR) can’t solve the problem because of less computing performance and use of signal-oriented communication. The AUTOSAR group starts the design of an AUTOSAR Adaptive Platform as a global solution which will incline towards the future software platform developments. This platform aims at dynamicdeployment of user applications to provide a friendly environment for apps. that require high computation, non- AUTOSAR systems in a seamless manner, and to preserve typical characteristics of a deep embedded automotive systems at different safety levels, controllability and real-time actions. Also, the upcoming challenges can be tackled by the introduction of Service-Oriented Communication (SOC) protocols into the vehicle’s communication system like Scalable- Service-Oriented-Middle-ware over-IP (SOME/IP). In this paper, this task is first developed with the use of virtual machines and later it is deployed on the target hardware. The software components are configured and set up appropriately. Simulation and results are tested using a test application. Keywords: Vehicle-2-X, ECU, AUTOSAR, Service-Oriented Communication, SOME/IP, Adaptive Platform

  • ISSN: 22786856
  • Source Type: Journal
  • Original language: English

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