This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Leveraging On-Board Diagnostics and Model-Based Design Methods for Root-Causing Body Control Systems/Software Issues
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 16, 2012 by SAE International in United States
Annotation ability available
Many automotive ECU system issues do not manifest themselves until later in the vehicle product development cycle, despite the extensive testing and stringent validations that the ECU may have gone through. When such a system-level issue is identified, engineers will traditionally rely on the available information collected from logged DTCs and memory dumps to root-cause the issue. They will then develop a solution that will either eliminate the defects in ECU or develop a robust design to mitigate the impact. However, engineers are faced with technical difficulties which include: (a) physical addresses for many RAM variables critical to find the root-cause are subject to change with various releases of software, (b) some variables “come and go” so it is challenging to find out how and when the undesired events happen, and (c) many variables that are needed to identify the root-cause are missing.
In this work, we describe a method for identifying root-causes for systems and/or software issues in body control applications by leveraging the memory read diagnostic function. To combat the technical difficulties described above, we have developed a model-based design oriented practice in which critical variables are inserted and linked to a group of memory addresses independent of software releases so that the diagnostic memory read approach can always be utilized. In this method, we will need to define a set of counters and flag semaphores that will be incorporated into the software either during the model-based development phase or afterwards when using the auxiliary variables to diagnose software failures becomes needed. A suite of customized scripting tools can then be utilized to attach the semaphore variables, to collect the values of them and compare them with nominal and/or typical values to help identify the root-causes. Although implementing the signal mapping and auxiliary variables in the MATALB models will incur additional engineering efforts, we do observe the efforts will eventually pay off due to the advantages over the traditional methods not only in identifying and resolving issues but also in reducing the warranty costs for both OEMs and suppliers.
|Technical Paper||A Systems Engineering Approach to Verification of Distributed Body Control Applications Development|
|Technical Paper||(CS)2 for Distributed Control Systems: A Better Approach to Developing and Maintaining ECU SW|
CitationYang, J., Bauman, J., and Beydoun, A., "Leveraging On-Board Diagnostics and Model-Based Design Methods for Root-Causing Body Control Systems/Software Issues," SAE Technical Paper 2012-01-0931, 2012, https://doi.org/10.4271/2012-01-0931.
- Fürst, Simon “Challenges in the Design of Automotive Software” BMW Group 80788 Munich, Germany 2010 EDAA
- Johansson, Karl Henrik et al. “Vehicle Applications of Controller Area Network” Department of Signals, Sensors and Systems, Royal Institute of Technology Stockholm, Sweden
- Naghshtabrizi, Payam Hespanha, Jõao P. “Analysis of Distributed Control Systems with Shared Communication and Computation Resources” American Control Conference 2009 ACC ′09
- dSPACE “Efficient ECU Development” http://www.dspaceinc.com/en/inc/home/applicationfields/automotive/efficient_ecu_development.cfm Accessed 10/24/2011
- MathWorks Documentation Center “State Storage Classes” http://www.mathworks.com/help/rtw/ug/states.html#f1078701 10 24 2011
- Murthy, K Srirama Satish, D A “White Paper: Diagnostics for Automobiles - A Snapshot” Dearborn Electronics http://www.deindia.com/images/downloads/whitepapers/Diganostcs_for_Automobiles-A_Snapshot.pdf 10 24 2011
- Vector “Introduction to the CAN Calibration Protocol” Application Note AN-AMC-1-102 http://www.vector.com/portal/medien/vector_cantech/Sponsorship/EcoCar/AN-AMC-1-102_Introduction_to_CCP.pdf 10 24 2011