Literature DB >> 22075387

A portable hardware-in-the-loop (HIL) device for automotive diagnostic control systems.

A Palladino1, G Fiengo, D Lanzo.   

Abstract

In-vehicle driving tests for evaluating the performance and diagnostic functionalities of engine control systems are often time consuming, expensive, and not reproducible. Using a hardware-in-the-loop (HIL) simulation approach, new control strategies and diagnostic functions on a controller area network (CAN) line can be easily tested in real time, in order to reduce the effort and the cost of the testing phase. Nowadays, spark ignition engines are controlled by an electronic control unit (ECU) with a large number of embedded sensors and actuators. In order to meet the rising demand of lower emissions and fuel consumption, an increasing number of control functions are added into such a unit. This work aims at presenting a portable electronic environment system, suited for HIL simulations, in order to test the engine control software and the diagnostic functionality on a CAN line, respectively, through non-regression and diagnostic tests. The performances of the proposed electronic device, called a micro hardware-in-the-loop system, are presented through the testing of the engine management system software of a 1.6 l Fiat gasoline engine with variable valve actuation for the ECU development version.
Copyright © 2011 ISA. Published by Elsevier Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 22075387     DOI: 10.1016/j.isatra.2011.10.009

Source DB:  PubMed          Journal:  ISA Trans        ISSN: 0019-0578            Impact factor:   5.468


  2 in total

Review 1.  Regulatory Considerations for Physiological Closed-Loop Controlled Medical Devices Used for Automated Critical Care: Food and Drug Administration Workshop Discussion Topics.

Authors:  Bahram Parvinian; Christopher Scully; Hanniebey Wiyor; Allison Kumar; Sandy Weininger
Journal:  Anesth Analg       Date:  2018-06       Impact factor: 5.108

2.  Hardware-in-the-Loop-Based Real-Time Fault Injection Framework for Dynamic Behavior Analysis of Automotive Software Systems.

Authors:  Mohammad Abboush; Daniel Bamal; Christoph Knieke; Andreas Rausch
Journal:  Sensors (Basel)       Date:  2022-02-10       Impact factor: 3.576

  2 in total

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