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 …

[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

Z Wang, G Feng, D Zhen, F Gu, A Ball - Energy Reports, 2021 - Elsevier
With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …

A review of deep learning approach to predicting the state of health and state of charge of lithium-ion batteries

K Luo, X Chen, H Zheng, Z Shi - Journal of Energy Chemistry, 2022 - Elsevier
In the field of energy storage, it is very important to predict the state of charge and the state of
health of lithium-ion batteries. In this paper, we review the current widely used equivalent …

Battery state-of-charge estimation amid dynamic usage with physics-informed deep learning

J Tian, R Xiong, J Lu, C Chen, W Shen - Energy Storage Materials, 2022 - Elsevier
Accurate estimation of state of charge (SOC) constitutes the basis to enable the reliable
operations of lithium-ion batteries. The recent development in deep learning provides an …

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 …

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 …

Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement

Z Wei, J Zhao, H He, G Ding, H Cui, L Liu - Journal of Power Sources, 2021 - Elsevier
Lithium-ion batteries (LIBs) has seen widespread applications in a variety of fields like the
renewable penetration, electrified transportation, and portable electronics. A reliable battery …

State estimation for advanced battery management: Key challenges and future trends

X Hu, F Feng, K Liu, L Zhang, J Xie, B Liu - Renewable and Sustainable …, 2019 - Elsevier
Batteries are presently pervasive in portable electronics, electrified vehicles, and renewable
energy storage. These indispensable engineering applications are all safety-critical and …

Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries

P Shrivastava, TK Soon, MYIB Idris… - … and Sustainable Energy …, 2019 - Elsevier
Carbon impression and the growing reliance on fossil fuels are two unique concerns for
world emission regulatory agencies. These issues have placed electric vehicles (EVs) …

A review on battery modelling techniques

S Tamilselvi, S Gunasundari, N Karuppiah… - Sustainability, 2021 - mdpi.com
The growing demand for electrical energy and the impact of global warming leads to a
paradigm shift in the power sector. This has led to the increased usage of renewable energy …