Enhancing Vehicle Lifecycle Management Through Blockchain-Driven Predictive Maintenance and Federated Learning
Mritunjay Shall Peelam, Kunjan Shah, Vinay Chamola, Biplab Sikdar · 2024
In recent years, the automotive industry has increasingly adopted blockchain technology to enhance vehicle lifecycle management and predictive maintenance. This paper presents a blockchain-enabled framework that integrates data from various stakeholders, including manufacturers, service providers, and vehicle owners, to create a transparent and immutable vehicle history record. The proposed solution utilizes predictive maintenance with Federated Learning (FL) algorithms to analyze real-time vehicle data, ensuring timely and efficient maintenance. By utilizing blockchain technology, the framework ensures data integrity, security, and accessibility, addressing common issues such as fraud, data manipulation, and information asymmetry. The proposed system aims to reduce maintenance costs, improve vehicle performance, and enhance user experience by providing reliable and secure vehicle lifecycle management.