My Account Log in

1 option

Streamlined Process for Cloud Based Diagnostics Using Amazon Web Services Prince Mohammad Bin Fahd University

SAE Technical Papers (1906-current) Available online

View online
Format:
Book
Conference/Event
Author/Creator:
Khaled, Nassim, author.
Conference Name:
SAE WCX Digital Summit (2021-04-13 : Live Online, Pennsylvania, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2021
Summary:
In the age of 5G, the cloud constitutes a massive computational resource. Such capability is greatly underutilized, especially for the purpose of vehicle diagnostics and prognostics. Diagnostics and prognostics run mostly in the limited and cost sensitive electronic module of the vehicle. Utilizing vehicle connectivity, along with the massive capability of the cloud would allow the deployment of smarter algorithms that provide improved vehicle performance and operation management. In this paper, a streamlined process to develop and deploy off-board diagnostics is presented. The process included developing multiphysics digital twins and running the diagnostics off-board. It was demonstrated on a fleet of virtual Hybrid Electric Vehicles (HEV). The Digital Twin replica was created using Simulink® and Simscape®. The microcontroller used to demonstrate the diagnostic is a Raspberry Pi hardware running in real time. Furthermore, a Digital Twin of the same HEV model was developed and deployed into the Amazon Cloud Services (AWS). A total of 1000 vehicles were simulated to prove the effectiveness of the proposed process. The diagnostic data of these 1000 vehicles were sent in real time to AWS Digital Twin. The Digital Twin ran a diagnostic algorithm based on vehicle speed, motor, generator, engine speeds and battery SOC data received from the hardware. Failures were randomly introduced in the 1000 vehicles. The Digital Twin Diagnostics effectively detected the introduced failures and notified the drivers via Email and Text messages
Notes:
Vendor supplied data
Publisher Number:
2021-01-0159
Access Restriction:
Restricted for use by site license

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account