Hardware-in-the-Loop System for Testing Automotive Ecu Diagnostic Software

Mouzakitis, Alexandros; Copp, D.G.; Parker, Richard; Burnham, Keith J.

doi:10.1177/002029400904200803

Cited by 13 publications

(5 citation statements)

References 14 publications

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“…As the proportion of software dedicated to onboard diagnostic (OBD) systems in each ECU increases, a method for testing automotive controller diagnostic software is essential and will ensure each ECU will function properly in its operational environment [4].…”

Section: Introductionmentioning

confidence: 99%

Modeling of the Automatic Testing Process of Electronic Control Units in the Automotive Industry

2022

IJOMAM

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The scientific paper presents an original contribution regarding the modelling of the automatic EOL (End of Line) testing process of the Electronic Control Units (ECU) in the production flow in the automotive industry, by implementing the parallel testing algorithm to reduce the processing time at the related process station. This modelling operation for optimization must be implemented without affecting the quality of the automated functional testing process and is necessary for the application of the Kanban method in the automotive production flow. The process modelling begins with the analysis of the traditional execution time for each ECU input or output pin and continues with the development of a parallel test algorithm in which the test time for a single ECU is substantially decreased. By reducing the processing time of a station in the production flow, in this case at the EOL test station, a significant improvement in the capacity of the assembly line is achieved, which translates into cost savings at the resource level. The last part of the paper highlights the results obtained from the modelling of the process in order to optimize it and presents our conclusions developed in this case study.

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Section: Introductionmentioning

confidence: 99%

Modeling of the Automatic Testing Process of Electronic Control Units in the Automotive Industry

2022

IJOMAM

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“…A positioning system needs to be both accurate and dependable; thus, there is a need for extensive testing and evaluation. In this paper, we address this need by automating test case generation not only in simulations [1] and Hardware-In-the-Loop (HIL) tests [2,3], but also on full-scale hardware. To demonstrate this approach, we equip our self-driving model car [4] with an ultrawideband (UWB) positioning system in addition to the Real-Time Kinematic Satellite Navigation (RTK-SN) positioning system it already has and evaluate the performance of the UWB system against the RTK-SN system.…”

Section: Introductionmentioning

confidence: 99%

Automated Testing of Ultrawideband Positioning for Autonomous Driving

Vedder

Svensson

Vinter

et al. 2020

Journal of Robotics

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Autonomous vehicles need accurate and dependable positioning, and these systems need to be tested extensively. We have evaluated positioning based on ultrawideband (UWB) ranging with our self-driving model car using a highly automated approach. Random drivable trajectories were generated, while the UWB position was compared against the Real-Time Kinematic Satellite Navigation (RTK-SN) positioning system which our model car also is equipped with. Fault injection was used to study the fault tolerance of the UWB positioning system. Addressed challenges are automatically generating test cases for real-time hardware, restoring the state between tests, and maintaining safety by preventing collisions. We were able to automatically generate and carry out hundreds of experiments on the model car in real time and rerun them consistently with and without fault injection enabled. Thereby, we demonstrate one novel approach to perform automated testing on complex real-time hardware.

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“…To achieve this, we have developed low-cost hardware and both embedded and desktop software controlling model vehicles with Ackerman steering that can be modeled with a bicycle model [9]. Our testbed also has support for Hardware-in-the-Loop (HIL) testing [10,11] by simulating parts of the vehicle dynamics, which is useful during development and automatic testing. Thus, the contribution of this work is to answer to what extent the aforementioned goal can be achieved with low-cost hardware, provide help for other researchers who want to implement their own self-driving model car, and answer what performance and accuracy can be expected.…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost Model Vehicle Testbed with Accurate Positioning for Autonomous Driving

Vedder

Vinter

Jönsson

2018

Journal of Robotics

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Accurate positioning is a requirement for many applications, including safety-critical autonomous vehicles. To reduce cost and at the same time improving accuracy for positioning of autonomous vehicles, new methods, tools, and research platforms are needed. We have created a low-cost testbed consisting of electronics and software that can be fitted on model vehicles allowing them to follow trajectories autonomously with a position accuracy of around 3 cm outdoors. The position of the vehicles is derived from sensor fusion between Real-Time Kinematic Satellite Navigation (RTK-SN), odometry, and inertial measurement and performs well within a 10 km radius from a base station. Trajectories to be followed can be edited with a custom GUI, where also several model vehicles can be controlled and visualized in real time. All software and Printed Circuit Boards (PCBs) for our testbed are available as open source to make customization and development possible. Our testbed can be used for research within autonomous driving, for carrying test equipment, and other applications where low cost and accurate positioning and navigation are required.

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Hardware-in-the-Loop System for Testing Automotive Ecu Diagnostic Software

Cited by 13 publications

References 14 publications

Modeling of the Automatic Testing Process of Electronic Control Units in the Automotive Industry

Modeling of the Automatic Testing Process of Electronic Control Units in the Automotive Industry

Automated Testing of Ultrawideband Positioning for Autonomous Driving

A Low-Cost Model Vehicle Testbed with Accurate Positioning for Autonomous Driving

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