Hardware-in-the-Loop Testing in the Context of ISO 26262

Himmler, Andreas; Lamberg, Klaus; Beine, Michael

doi:10.4271/2012-01-0035

Cited by 14 publications

(9 citation statements)

References 2 publications

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“…Several platforms have been leveraged to carry out the testing and validation activities known as X-in-the-loop [10]. Among them, Hardware-in-the-Loop (HIL) real-time simulation is recommended by ISO 26262 as a safe, flexible, reliable, and effective platform [11]. Recently, HIL has played a vital role in the verification and validation of automotive-embedded control systems under real-time conditions.…”

Section: Introductionmentioning

confidence: 99%

Representative Real-Time Dataset Generation Based on Automated Fault Injection and HIL Simulation for ML-Assisted Validation of Automotive Software Systems

Abboush,

Knieke,

Rausch

2024

Electronics

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Recently, a data-driven approach has been widely used at various stages of the system development lifecycle thanks to its ability to extract knowledge from historical data. However, despite its superiority over other conventional approaches, e.g., approaches that are model-based and signal-based, the availability of representative datasets poses a major challenge. Therefore, for various engineering applications, new solutions to generate representative faulty data that reflect the real world operating conditions should be explored. In this study, a novel approach based on a hardware-in-the-loop (HIL) simulation and automated real-time fault injection (FI) method is proposed to generate, analyse and collect data samples in the presence of single and concurrent faults. The generated dataset is employed for the development of machine learning (ML)-assisted test strategies during the system verification and validation phases of the V-cycle development model. The developed framework can generate not only time series data but also a textual data including fault logs in an automated manner. As a case study, a high-fidelity simulation model of a gasoline engine system with a dynamic entire vehicle model is utilised to demonstrate the capabilities and benefits of the proposed framework. The results reveal the applicability of the proposed framework in simulating and capturing the system behaviour in the presence of faults occurring within the system’s components. Furthermore, the effectiveness of the proposed framework in analysing system behaviour and acquiring data during the validation phase of real-time systems under realistic operating conditions has been demonstrated.

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Section: Introductionmentioning

confidence: 99%

Representative Real-Time Dataset Generation Based on Automated Fault Injection and HIL Simulation for ML-Assisted Validation of Automotive Software Systems

Abboush,

Knieke,

Rausch

2024

Electronics

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“…To improve EV conversion development process, model-based design process is shown in Figure 1. The method would benefit the design engineer in making better decision for the conversion and also saving time and cost by reducing error during the design process [5][6][7]. The process can be employed to perform system simulation based on different scenarios and technical specification.…”

Section: Introductionmentioning

confidence: 99%

Model Based System Design for Electric Vehicle Conversion

Ukaew¹

2019

New Trends in Electrical Vehicle Powertrains

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Development of electric vehicle (EV) conversion process can be implemented in a low-cost and time-saving manner, along with the design of actual components. Model-based system design is employed to systematically compute the power flow of the electric vehicle propulsion and dynamic load. Vehicle specification and driving cycles were the two main inputs for the simulation. As a result, the approach is capable of predicting various EV characteristics and design parameters, such as EV performance, driving range, torque speed characteristics, motor power, and battery power charge/discharge, which are the necessity for the design and sizing selection of the main EV components. Furthermore, drive-by-wire (DBW) ECU function can be employed by means of model-based design to improve drivability. For the current setup, the system components are consisted of actual ECU hardware, electric vehicle models, and control area network (CAN) communication. The EV component and system models are virtually simulated simultaneously in real time. Thus, the EV functionalities are verified corresponding to objective requirements. The current methodology can be employed as rapid design tool for ECU and software development. Same methodology can be illustrated to be used for EV tuning and reliability model test in the future.

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“…The test object is therefore a distributed function. In this example, the test is executed on a HIL simulator [4]. But it could also be executed on a PC-based simulation platform.…”

Section: Illustrating the Generic Test Process Using The Example Of Vmentioning

confidence: 99%

Hardware-in-the-Loop Test Process for Modern E/E Systems

Schulze

Stavesand

2016

Simulation and Testing for Vehicle Technology

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Automobiles are highly interconnected mechatronic systems. Over the last years, the software of these systems has played an increasingly important role in the value chain. Current production vehicles contain more than 80 electronic control units (ECUs) with over one hundred million lines of software code. Advanced driver assistance systems and functions for autonomous driving will further increase the requirements for the E/E systems. Furthermore, these systems will become even more complex due to the use of sensors to capture the vehicle environment, the interconnection of the ECU functions, and the influence of external communication. This paper outlines an ECU test process example in which an advanced driver assistance function is tested on a hardware-in-the-loop (HIL) test system. The necessary process steps and interdependencies to ISO 26262 are identified. The paper also explains how to simulate an ideal test process under consideration of the version and variant flows, and how to use different validation systems to perform different validation steps throughout the development process. The paper aims to analyze the various questions arising in the E/E validation process to identify the advantages the users have throughout the entire development cycle.

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Hardware-in-the-Loop Testing in the Context of ISO 26262

Cited by 14 publications

References 2 publications

Representative Real-Time Dataset Generation Based on Automated Fault Injection and HIL Simulation for ML-Assisted Validation of Automotive Software Systems

Representative Real-Time Dataset Generation Based on Automated Fault Injection and HIL Simulation for ML-Assisted Validation of Automotive Software Systems

Model Based System Design for Electric Vehicle Conversion

Hardware-in-the-Loop Test Process for Modern E/E Systems

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