Afida Ayob

TL;DR: In this paper, the authors comprehensively review technologies of ESSs, its classifications, characteristics, constructions, electricity conversion, and evaluation processes with advantages and disadvantages for EV applications.

TL;DR: The goal of this paper is to comprehensively review the different estimation models to predict SOH, and RUL in a comparative manner and identify the classifications, characteristics and evaluation processes with advantages and disadvantages for EV applications.

TL;DR: The obtained results show that the BPNN based BSA model outperforms other neural network models in estimating SOC with high accuracy under different EV profiles and temperatures.

TL;DR: In this paper, a comprehensive review of the different type of charge equalization controller (CEC) for electric vehicle (EV) applications is highlighted, and a comparison on the salient feature characteristics among the CECs are explained on their topologies, types and execution times, difficulties in control, efficiencies, cost, components, merits and demerits.

TL;DR: A comprehensive review of different intelligent approaches and control schemes of the battery management system in electric vehicle applications concerning their features, structure, configuration, accuracy, advantages, and disadvantages is delivered.