Analyzing Fuel Cell Vehicles Through Intelligent Battery Management Systems (BMS)
Putchakayala Yanna Reddy, Balpreet Singh Madan, Harishchander Anandaram, Praveen Rathod, S. Vasanthaseelan, Sampath Boopathi
Abstract
Integrating artificial intelligence (AI), internet of things (IoT), and machine learning (ML) technologies into fuel cell systems offers numerous benefits, applications, and opportunities for advancement across various sectors. This chapter explores the synergistic potential of AI, IoT, and ML in fuel cell integration, outlining their advantages, applications, challenges, and potential solutions. By leveraging AI for predictive maintenance, optimizing operating conditions through IoT sensors, and employing ML algorithms for efficiency enhancements, fuel cell systems can achieve higher performance and reliability. Real-world case studies and examples demonstrate successful integration in sectors such as transportation, energy production, and manufacturing. Moreover, this chapter discusses future prospects, including advancements in data analytics, system optimization, and scalability, driving innovation in fuel cell technology integration with AI, IoT, and ML.