Review of electric vehicle charging technologies, standards, architectures, and converter configurations

SSG Acharige, ME Haque, MT Arif… - IEEE …, 2023 - ieeexplore.ieee.org
Electric Vehicles (EVs) are projected to be one of the major contributors to energy transition
in global transportation due to their rapid expansion. High-level EVs integration into the …

Physics-based battery SOC estimation methods: Recent advances and future perspectives

L Wu, Z Lyu, Z Huang, C Zhang, C Wei - Journal of Energy Chemistry, 2024 - Elsevier
The reliable prediction of state of charge (SOC) is one of the vital functions of advanced
battery management system (BMS), which has great significance towards safe operation of …

Machine learning: an advanced platform for materials development and state prediction in lithium‐ion batteries

C Lv, X Zhou, L Zhong, C Yan, M Srinivasan… - Advanced …, 2022 - Wiley Online Library
Lithium‐ion batteries (LIBs) are vital energy‐storage devices in modern society. However,
the performance and cost are still not satisfactory in terms of energy density, power density …

A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

Y Wang, J Tian, Z Sun, L Wang, R Xu, M Li… - … and Sustainable Energy …, 2020 - Elsevier
With the rapid development of new energy electric vehicles and smart grids, the demand for
batteries is increasing. The battery management system (BMS) plays a crucial role in the …

Mitigation strategies for Li-ion battery thermal runaway: A review

B Xu, J Lee, D Kwon, L Kong, M Pecht - Renewable and Sustainable …, 2021 - Elsevier
Li-ion batteries are commercially successful power sources for diverse applications.
However, the characteristics of Li-ion batteries make them susceptible to thermal runaway …

Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review

A Manoharan, KM Begam, VR Aparow… - Journal of Energy …, 2022 - Elsevier
Abstract In recent years, Artificial Intelligence has been widely used for determining the
current state of Li-ion batteries used for Electric Vehicle applications. It is crucial to have an …

A review on passive and active strategies of enhancing the safety of lithium-ion batteries

Y Qiu, F Jiang - International Journal of Heat and Mass Transfer, 2022 - Elsevier
Lithium-ion battery (LIB) becomes the dominant candidate for electric vehicles (EVs) and
energy storage systems (ESSs); nevertheless, as its popularization, the number of safety …

Modeling, state of charge estimation, and charging of lithium‐ion battery in electric vehicle: a review

M Adaikkappan… - International Journal of …, 2022 - Wiley Online Library
Extension of driving range and battery run time optimization are necessary key points in the
modeling of Electric Vehicle (EV). In this view, Battery Management System (BMS) plays a …

State-of-charge estimation and remaining useful life prediction of supercapacitors

C Liu, Q Li, K Wang - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
As a new type of energy storage device, supercapacitors are widely applied in various fields
owing to their irreplaceable extraordinary characteristics. The remaining useful life …

Battery technologies and functionality of battery management system for EVs: Current status, key challenges, and future prospectives

M Waseem, M Ahmad, A Parveen, M Suhaib - Journal of Power Sources, 2023 - Elsevier
Research and development towards electric vehicles (EVs) are getting exclusive attention
because of their eco-friendly nature, suppression of petroleum products, greener transport …