R. Elakkiya – författare

Artificial Intelligence and Data Science in Electric Vehicle Technology and Infrastructure offers a comprehensive exploration of how AI and data science are revolutionizing the electric vehicle (EV) industry. It guides readers through the basic concepts of EV technology and explains how machine learning and blockchain optimize battery management, predictive maintenance, and secure fault detection. The book highlights cutting-edge techniques like sensor fusion and computer vision for autonomous driving, alongside real-time analytics and edge computing for low-latency AI applications. It also covers intelligent charging infrastructure, route optimization, and renewable energy integration and shares insights into cybersecurity, business models, and demand forecasting, complemented by practical case studies.This book is a useful resource for researchers, scientists, advanced students, software engineers, data scientists, R&D professionals, and other industrial personnel working at the intersection of computer science, electrical engineering, artificial intelligence, data science, and machine learning with an interest in advancing AI and ML applications in electric vehicle technologies.Demonstrates how AI algorithms improve battery management, energy use, and vehicle performance to tackle EV reliability and efficiency issuesExplains how predictive analytics leverage data science and machine learning to prevent vehicle malfunctions, minimizing downtime and reducing maintenance costsShowcases the development of smart charging infrastructure that utilizes data analysis to optimize energy distribution and significantly cut charging timesDiscusses the role of AI and data science in advancing autonomous driving capabilities, enhancing safety and operational efficiency in transportationHighlights innovative, data-driven solutions for sustainable energy, aiding in reducing carbon emissions and promoting environmentally friendly EV technologies