Connected Vehicle Data – Prognostics and Monetization Opportunity

2023-01-1685

10/31/2023

Features
Event
Energy & Propulsion Conference & Exhibition
Authors Abstract
Content
In recent years, the automotive industry has seen an exponential increase in the replacement of mechanical components with electronic-controlled components or systems. engine, transmission, brake, exhaust gas recirculation (EGR), lighting, driver-assist technologies, etc. are all monitored and/or controlled electronically. Connected vehicles are increasingly being used by Original Equipment Manufacturers (OEMs) to collect and transmit vehicle data in real-time via the use of various sensors, actuators, and communication technologies. Vehicle telematics devices can collect and transmit data about the vehicle location, speed, fuel efficiency, State Of Charge (SOC), auxiliary battery voltage, emissions, performance, and more. This data is sent over to the cloud via cellular networks, where it can be processed and analyzed to improve their products and services by automotive companies and/or fleet management. This data can also be used for a variety of purposes, including enhancing the driving experience, improving safety, understanding customer driving patterns, vehicle functionality utilization, SOC monitoring, battery thermal monitoring, prognostic health review, and providing new services to drivers and passengers. By collecting and analyzing this data, connected vehicles can provide a wealth of insights that can be used to improve safety, reduce congestion, and risky driving behavior, review pending diagnostics codes in vehicles, and enhance the overall driving experience. This paper investigates and explores the opportunities related to connected vehicle data analytics, vehicle health prognostics, and possible monetization associated scope.
Meta TagsDetails
DOI
https://doi.org/10.4271/2023-01-1685
Pages
8
Citation
Kumar, V., Zhu, D., and Dadam, S., "Connected Vehicle Data – Prognostics and Monetization Opportunity," SAE Technical Paper 2023-01-1685, 2023, https://doi.org/10.4271/2023-01-1685.
Additional Details
Publisher
Published
Oct 31, 2023
Product Code
2023-01-1685
Content Type
Technical Paper
Language
English