On the Fly Nonintrusive MCU Data Acquisition through Remote Access While Driving a Vehicle

2022-01-0062

03/29/2022

Event
WCX SAE World Congress Experience
Authors Abstract
Content
In recent years, big data has become a strong new influencer on the economic aspects of our society and even more in our daily lives as individuals. New embedded capabilities within microcontrollers allow non-intrusive methods for the collection of data while not compromising safety, security, or real-time performance. The biggest challenge is allowing seamless and flexible collection of this data without creating additional CPU load to the existing application software. Some topics need to be addressed, like observing data without changing the ECU software during run-time or any safety requirements being violated. Additionally, any hazardous malfunction of the car due to missed real-time constrainsts must be avoided. Only allowed authorized users have access to the observed data and code. The monitoring configuration needs to be flexible allowing on-the-fly adaptability to scope the data. Providing data to the cloud has other applications apart from the big data analysis. For example, in advanced remote diagnostics a technician can assist the driver over the phone and provide guidance based on “live data” coming from the car. In this paper, we will address these challenges by describing different methods for collecting and transferring data from the ECU to other systems. Various communication schemes will be examined and discussed. Once the data reaches the cloud, it can be analyzed and processed into usable information for diagnostic or trend analysis. A proof of concept can be envisioned by using the Infineon AURIX™ microcontroller with ETAS tooling on a Ford vehicle platform.
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Citation
Bulmus, A., Shuaibi, N., Ellis, P., Nitoiu, A. et al., "On the Fly Nonintrusive MCU Data Acquisition through Remote Access While Driving a Vehicle ," SAE Technical Paper 2022-01-0062, 2022, .
Additional Details
Publisher
Published
Mar 29, 2022
Product Code
2022-01-0062
Content Type
Technical Paper
Language
English