IoT-Based Smart EV Power Management for Basic Life Support Transportation

E-vehicle offers a more sustainable, effective, and environmentally friendly transportation option than traditional fossil-fuel-driven vehicles, electric vehicles have drawn a lot of interest in recent years. The most significant part of the electric car powertrain, lithium-ion batteries need precise monitoring and management. The expense of batteries, anxiety about range, safety concerns, and reliability are just a few of the difficulties that remain in the mass manufacture of electric vehicles. By utilizing a powerful battery management system, these difficulties can be considerably reduced. The battery management system is in charge of figuring out the battery's level of charge, health, and remaining usable life in real-time in addition to interfacing with other parts and subsystems of the vehicle. A high-fidelity battery model and a precise, reliable estimating approach must cooperate under a variety of power demands, temperatures, and stages of life for the battery management system to successfully carry out these responsibilities. In this study, lithium-ion batteries are taken into account. As they can simulate lithium diffusion, electrochemical models are an appealing strategy for these batteries. Processing and monitoring are done on the lithium potentials and concentrations inside the batteries and solutions. Due to their connection to the real battery processes, electrochemical models are therefore favoured over other modelling approaches for battery charge state and state of health evaluation.