scholarly journals CNN-Based Fault Localization Method Using Memory-Updated Patterns for Integration Test in an HiL Environment

2019 ◽  
Vol 9 (14) ◽  
pp. 2799
Author(s):  
Ki-Yong Choi ◽  
Jung-Won Lee

Automotive electronic components are tested via hardware-in-the-loop (HiL) testing at the unit and integration test stages, according to ISO 26262. It is difficult to obtain debugging information from the HiL test because the simulator runs a black-box test automatically, depending on the scenario in the test script. At this time, debugging information can be obtained in HiL tests, using memory-updated information, without the source code or the debugging tool. However, this method does not know when the fault occurred, and it is difficult to select the starting point of debugging if the execution flow of the software is not known. In this paper, we propose a fault-localization method using a pattern in which each memory address is updated in the HiL test. Via a sequential pattern-mining algorithm in the memory-updated information of the transferred unit tests, memory-updated patterns are extracted, and the system learns using a convolutional neural network. Applying the learned pattern in the memory-updated information of the integration test can determine the fault point from the normal pattern. The point of departure from the normal pattern is highlighted as a fault-occurrence time, and updated addresses are presented as fault candidates. We applied the proposed method to an HiL test of an OSEK/VDX-based electronic control unit. Through fault-injection testing, we could find the cause of faults by checking the average memory address of 3.28%, and we could present the point of fault occurrence with an average accuracy of 80%.

2018 ◽  
Vol 8 (11) ◽  
pp. 2260 ◽  
Author(s):  
Ki-Yong Choi ◽  
Jung-Won Lee

During the inspection stage, an integration test is performed on electronic automobile parts that have passed a unit test. The faults found during this test are reported to the developer, who subsequently modifies the source code. If the tester provides the developer with memory usage information (such as functional symbol or interface signal), which works differently from normal operation in failed Hardware-in-the-Loop (HiL) testing (even when the tester has no source code), that information will be useful for debugging. In this paper, we propose a fault localization method for automotive software in an HiL environment by comparing the analysis results of updated memory between units and integration tests. Analyzing the memory usage of a normally operates unit test, makes it possible to obtain memory-updated information necessary for the operation of that particular function. By comparing this information to the memory usage when a fault occurs during an integration test, erroneously operated symbols and stored values are presented as potential root causes of the fault. We applied the proposed method to HiL testing for an OSEK/VDX-based electronic control unit (ECU). As a result of testing using fault injection, we confirmed that the fault causes can be found by checking the localized memory symbols with an average of 5.77%. In addition, when applying this methodology to a failure that occurred during a body control module (BCM) (which provides seat belt warnings) test, we could identify a suspicious symbol and find the cause of the test failure with only 8.54% of localized memory symbols.


Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 850
Author(s):  
Jihyun Park ◽  
Byoungju Choi

With recent increases in the amount of software installed in vehicles, the probability of automotive software faults that lead to accidents has also increased. Because automotive software faults can lead to serious accidents or even mortalities, vehicle software design and testing must consider safety a top priority. ISO 26262 recommends fault injection testing as a measure to verify the functional safety of vehicles. However, the standard does not clearly specify when and where faults should be injected, and the tools to support fault injection testing for automotive software are also insufficient. In the present study, we define faults that may occur in Automotive Open System Architecture (AUTOSAR)-based automotive software and propose a fault injection method to be applied during the software development process. The proposed method can inject different types of faults that may occur in AUTOSAR-based automotive software, such as access, asymmetric, and timing errors, while minimizing performance degradation due to fault injection, and without using any separate hardware devices. The superior performance of the proposed method is demonstrated through empirical studies applied to fault injection testing of a range of vehicle electronic control unit software.


Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1580
Author(s):  
Diana Raluca Biba ◽  
Mihaela Codruta Ancuti ◽  
Alexandru Ianovici ◽  
Ciprian Sorandaru ◽  
Sorin Musuroi

In the last decade, modern vehicles have become very complex, being equipped with embedded electronic systems which include more than a thousand of electronic control units (ECUs). Therefore, it is mandatory to analyze the potential risk of automotive systems failure because it could have a significant impact on humans’ safety. This paper proposes a novel, functional safety concept at the power management level of a system basis chip (SBC), from the development phase to system design. In the presented case, the safety-critical application is represented by a powertrain transmission electronic control unit. A step-by-step design guideline procedure is presented, having as a focus the cost, safety, and performance to obtain a robust, cost-efficient, safe, and reliable design. To prove compliance with the ISO 26262 standard, quantitative worst-case evaluations of the hardware have been done. The assessment results qualify the proposed design with automotive safety integrity levels (ASIL, up to ASIL-D). The main contribution of this paper is to demonstrate how to apply the functional safety concept to a real, safety-critical system by following the proposed design methodology.


Author(s):  
Juraj Pancik ◽  
Peter Drgona ◽  
Marek Paskala

The electric parking brake (EPB) system as the complex mechatronic system consists of the actuators that generate the clamping force necessary to hold the vehicle safe, the conventional calipers that convert clamp force into brake torque, electronic hardware with the Electronic Control Unit (ECU), cable harness and switches and especially the control software providing the functions that the driver will experience. Like most of the modern automotive components, the EPB is equipped with embedded electronic systems that include ECU, electronic sensors, signals, bus systems, and coding. Due to the complex application in electrical, electronics and programmable electronics, the need to carry out detailed safety analyses that are focused on the potential risk of malfunction is crucial for automotive systems. This paper describes a possible division of the EPB sub-functions between the supplier the wheel brakes and the supplier which supplying the ECU. Functional safety must be a guarantee with concerning the overall vehicle system. Functional safety is according to the requirements of the ISO 26262 standard and in the context of this paper relates solely to the E/E components (electrical and/or electronic) of the EPB. This paper covers the hazard analysis and risk assessment relevant to the EPB control software, and the derived allocation of ASIL risk levels to the EPB software elements of the functional architecture of the EPB.


Author(s):  
Rommel Estores ◽  
Karo Vander Gucht

Abstract This paper discusses a creative manual diagnosis approach, a complementary technique that provides the possibility to extend Automatic Test Pattern Generation (ATPG) beyond its own limits. The authors will discuss this approach in detail using an actual case – a test coverage issue where user-generated ATPG patterns and the resulting ATPG diagnosis isolated the fault to a small part of the digital core. However, traditional fault localization techniques was unable to isolate the fault further. Using the defect candidates from ATPG diagnosis as a starting point, manual diagnosis through fault Injection and fault simulation was performed. Further fault localization was performed using the ‘not detected’ (ND) and/or ‘detected’ (DT) fault classes for each of the available patterns. The result has successfully deduced the defect candidates until the exact faulty net causing the electrical failure was identified. The ability of the FA lab to maximize the use of ATPG in combination with other tools/techniques to investigate failures in detail; is crucial in the fast root cause determination and, in case of a test coverage, aid in having effective test screen method implemented.


Author(s):  
C Kannan ◽  
R Vignesh ◽  
C Karthick ◽  
B Ashok

Lithium-ion batteries are facing difficulties in an aspect of protection towards battery thermal safety issues which leads to performance degradation or thermal runaway. To negate these issues an effective battery thermal management system is absolute pre-requisite to safeguard the lithium-ion batteries. In this context to support the future endeavours and to improvise battery thermal management system (BTMS) design and its operation the article reveals on three aspects through the analysis of scientific literatures. First, this paper collates the present research progress and status of various battery management strategies employed to lithium-ion batteries. Further, to promote stable and efficient BTMS operation as an initiation the extensive attention is paid towards roles of BTMS electronic control unit and also presented the essential functionality need to consider for designing best BTMS control strategy. Finally, elucidates the various unconventional assessment tools can be employed to recognize the suitable thermal management technique and also for establish optimum BTMS operation based on requirements. From the experience of this article additionally delivers some of the research gaps identified and the essential areas need to focus for the development of superior lithium-ion BTMS technology. All the contents reveal in this article will hopefully assist to the design commercially suitable effective BTMS technology especially for electro-mobility application.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3215
Author(s):  
David Fernández-Rodríguez ◽  
Magín Lapuerta ◽  
Lizzie German

Nowadays, the transport sector is trying to face climate change and to contribute to a sustainable world by introducing modern after-treatment systems or by using biofuels. In sectors such as road freight transportation, agricultural or cogeneration in which the electrification is not considered feasible with the current infrastructure, renewable options for diesel engines such as alcohols produced from waste or lignocellulosic materials with advanced production techniques show a significant potential to reduce the life-cycle greenhouse emissions with respect to diesel fuel. This study concludes that lignocellulosic biobutanol can achieve 60% lower greenhouse gas emissions than diesel fuel. Butanol-diesel blends, with up to 40% butanol content, could be successfully used in a diesel engine calibrated for 100% diesel fuel without any additional engine modification nor electronic control unit recalibration at a warm ambient temperature. When n-butanol is introduced, particulate matter emissions are sharply reduced for butanol contents up to 16% (by volume), whereas NOX emissions are not negatively affected. Butanol-diesel blends could be introduced without startability problems up to 13% (by volume) butanol content at a cold ambient temperature. Therefore, biobutanol can be considered as an interesting option to be blended with diesel fuel, contributing to the decarbonization of these sectors.


Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 739
Author(s):  
Nicholas Ayres ◽  
Lipika Deka ◽  
Daniel Paluszczyszyn

The vehicle-embedded system also known as the electronic control unit (ECU) has transformed the humble motorcar, making it more efficient, environmentally friendly, and safer, but has led to a system which is highly dependent on software. As new technologies and features are included with each new vehicle model, the increased reliance on software will no doubt continue. It is an undeniable fact that all software contains bugs, errors, and potential vulnerabilities, which when discovered must be addressed in a timely manner, primarily through patching and updates, to preserve vehicle and occupant safety and integrity. However, current automotive software updating practices are ad hoc at best and often follow the same inefficient fix mechanisms associated with a physical component failure of return or recall. Increasing vehicle connectivity heralds the potential for over the air (OtA) software updates, but rigid ECU hardware design does not often facilitate or enable OtA updating. To address the associated issues regarding automotive ECU-based software updates, a new approach in how automotive software is deployed to the ECU is required. This paper presents how lightweight virtualisation technologies known as containers can promote efficient automotive ECU software updates. ECU functional software can be deployed to a container built from an associated image. Container images promote efficiency in download size and times through layer sharing, similar to ECU difference or delta flashing. Through containers, connectivity and OtA future software updates can be completed without inconveniences to the consumer or incurring expense to the manufacturer.


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