Connected Vehicle Data – Prognostics and Monetization Opportunity

Author:

Kumar Vivek1,Zhu Di1,Dadam Sumanth Reddy1

Affiliation:

1. Ford Motor Company

Abstract

<div class="section abstract"><div class="htmlview paragraph">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.</div></div>

Publisher

SAE International

Reference23 articles.

1. https://www.greencarreports.com/news/1093560_1-2-billion-vehicles-on-worlds-roads-now-2-billion-by-2035-report

2. Ahmed , N. and Kapadia , J. Big Data Analytics: How Big Data is Shaping Our Understanding of Electrified Vehicle Customers SAE Int. J. Mater. Manf. 10 3 2017 10.4271/2017-01-0247

3. Zhao , Y. Telematics: Safe and Fun Driving IEEE Intelligent Systems 17 1 2002 10 14 10.1109/5254.988442

4. US Department of Transportation, Vehicle-to-Vehicle Communication Technology https://www.nhtsa.gov/sites/nhtsa.gov/files/documents/v2v_fact_sheet_101414_v2a.pdf

5. https://www.nhtsa.gov/sites/nhtsa.gov/files/documents/v2v_pria_12-12-16_clean.pdf

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