Intelligent Hybrid EV Energy Management: Leveraging Real-Time Data for Efficient Power Utilization

Abstract

Intelligent Energy Management Systems (IEMS) play a pivotal role in enhancing the performance and sustainability of Hybrid Electric Vehicles (HEVs). By integrating renewable energy sources like solar panels and wind generators, these systems reduce dependency on fossil fuels and promote cleaner transportation solutions. Advanced control techniques and machine learning algorithms enable the system to adapt to real-time driving conditions, traffic patterns, and weather variations, optimizing energy distribution and minimizing waste. Key components such as voltage regulators, relays, and boost converters stabilize power flow and protect sensitive elements like batteries and motors. An Arduino controller intelligently manages energy input from various sources, while an LCD display provides real-time feedback on system performance, empowering drivers with crucial operational insights. The solar panel and wind generator dynamically charge the battery, and filters ensure high-quality power delivery. The motor efficiently converts stored electrical energy into mechanical motion, driving the vehicle forward with enhanced range and reduced emissions. Together, these components work in synergy to maximize energy efficiency, prolong battery life, and contribute to a sustainable future. As HEVs continue to evolve, IEMS innovations will be instrumental in accelerating the transition toward smarter, more efficient, and eco-friendly transportation.