Sadam Hussain

TL;DR: In this paper, Li-ion batteries have attracted considerable attention in the EV industry owing to their high energy density, lifespan, nominal voltage, power density, and cost, and a smart battery management system is one of the essential components; it not only measures the states of battery accurately, but also ensures safe operation and prolongs the battery life.

TL;DR: The validation of applied research for reducing the charging time of an electric wheelchair using a hybrid electric system composed of a supercapacitor bank and a lithium-ion battery with a fuzzy logic controller (FLC)-based fast charging system for Li-ion batteries and a fuzzy Logic-based intelligent energy management system (FLIEMS) for controlling the power flow within the HES.

TL;DR: A real-time EMS is proposed, which is comprised of a fuzzy logic controller-based low-pass filter and an adaptive proportional integrator-based charge controller that intelligently distributes the required power from the battery and a supercapacitor during acceleration.

TL;DR: Results show that the SVM classification and regression model trained with PDD features can accurately predict the RUL with low storage pressure on BMS and can be utilized for online RUL estimation in electric vehicles.

TL;DR: The proposed scheme provides a techno-economic analysis of the combination of a BSS with a low-voltage grid, benefitting from the feed-in tariff (FIT) scheme.