Dynamic Task Allocation and Scheduling for Multicore Electronics Control Unit (ECU)

Faizan, Mohd; Pillai, Anju S.

doi:10.1109/iceca.2019.8822086

Cited by 11 publications

(2 citation statements)

References 10 publications

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“…An ECU is an embedded controller used to gather information from sensors and control actuators. In modern vehicles, many ECUs are used to control different functionalities, such as the braking, engine, infotainment system, airbag, and powertrain, among other systems [5] [6].…”

Section: Background and Motivationmentioning

confidence: 99%

Desenvolvimento de Software Embarcado para Aquisição e Calibração de ECUs Automotivas

ARRIBAS¹,

BEDRETCHUCK²,

SPENGLER³

et al. 2022

Blucher Engineering Proceedings

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The automotive industry is one of the most demanding industries in the world. Companies in this sector have to follow high-quality standards and reduce the manufacturing cycle time, minimizing the final cost of their products. Specifically, measurements and calibrations of Electronic Control Units (ECUs) play an important role in improving fuel consumption, reducing maintenance costs, and optimizing engine performance.However, the interaction with ECUs is neither easy nor cheap. It requires complex software, bound to costly hardware and licenses, that few highly qualified engineers are able to configure and use. In this article, we propose an embedded software able to acquire and write data from and to ECUs through the CAN bus, using standard communication protocols. The solution adds features not present in commercial solutions, such as online transmission of data to a cloud server, local data storage, and GPS integration.Our proposal eliminates the expenses with licenses and reduces up to 90% of the hardware investment, and furthermore, it allows engineers to analyze the results of a car test during its execution, saving time and money in case an error is detected.

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Section: Background and Motivationmentioning

confidence: 99%

Desenvolvimento de Software Embarcado para Aquisição e Calibração de ECUs Automotivas

ARRIBAS¹,

BEDRETCHUCK²,

SPENGLER³

et al. 2022

Blucher Engineering Proceedings

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show abstract

“…We build on this idea in our work for enabling ECU consolidation. Some works have explored task migration for the development of scheduling strategies that minimize task preemption and overhead, making it possible to execute a wider variety of tasks [11,12]. These examples, however, are mostly theoretical and compare their strategies to classic approaches, such as earliest deadline first (EDF).…”

Section: Related Workmentioning

confidence: 99%

A Generalistic Approach to Machine-Learning-Supported Task Migration on Real-Time Systems

Delgadillo

Blieninger

Kuhn

et al. 2022

JLPEA

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Consolidating tasks to a smaller number of electronic control units (ECUs) is an important strategy for optimizing costs and resources in the automotive industry. In our research, we aim to enable ECU consolidation by migrating tasks at runtime between different ECUs, which adds redundancy and fail-safety capabilities to the system. In this paper, we present a setup with a generalistic and modular architecture that allows for integrating and testing different ECU architectures and machine learning (ML) models. As part of a holistic testbed, we introduce a collection of reproducible tasks, as well as a toolchain that controls the dynamic migration of tasks depending on ECU status and load. The migration is aided by the machine learning predictions on the schedulability analysis of possible future task distributions. To demonstrate the capabilities of the setup, we show its integration with FreeRTOS-based ECUs and two ML models—a long short-term memory (LSTM) network and a spiking neural network—along with a collection of tasks to distribute among the ECUs. Our approach shows a promising potential for machine-learning-based schedulability analysis and enables a comparison between different ML models.

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A Framework for Tasks Allocation and Scheduling in Precision Agriculture Settings

Santilli

Carpio

Gasparri

2021

2021 20th International Conference on Advanced Robotics (ICAR)

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Dynamic Task Allocation and Scheduling for Multicore Electronics Control Unit (ECU)

Cited by 11 publications

References 10 publications

Desenvolvimento de Software Embarcado para Aquisição e Calibração de ECUs Automotivas

Desenvolvimento de Software Embarcado para Aquisição e Calibração de ECUs Automotivas

A Generalistic Approach to Machine-Learning-Supported Task Migration on Real-Time Systems

A Framework for Tasks Allocation and Scheduling in Precision Agriculture Settings

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