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] Advances in Integrated System Health Management for mission-essential and safety-critical aerospace applications

K Ranasinghe, R Sabatini, A Gardi, S Bijjahalli… - Progress in Aerospace …, 2022 - Elsevier
Abstract Integrated System Health Management (ISHM) is a promising technology that fuses
sensor data and historical state-of-health information of components and subsystems to …

A robust observer based on the nonlinear descriptor systems application to estimate the state of charge of lithium-ion batteries

S Meng, F Meng, H Chi, H Chen, A Pang - Journal of the Franklin Institute, 2023 - Elsevier
A robust observer based on nonlinear descriptor systems is applied to estimate lithium-ion
batteries' state of charge (SOC). We creatively take the relationship between the battery's …

State-of-charge estimation of lithium-ion battery using an improved neural network model and extended Kalman filter

C Chen, R **ong, R Yang, W Shen, F Sun - Journal of Cleaner Production, 2019 - Elsevier
Accurate state-of-charge (SoC) estimation is remarkably difficult due to nonlinear
characteristics of batteries and complex application environment in electric vehicles (EVs) …

State of charge estimation of lithium-ion battery based on improved forgetting factor recursive least squares-extended Kalman filter joint algorithm

C Ge, Y Zheng, Y Yu - Journal of Energy Storage, 2022 - Elsevier
In order to solve the problem that forgetting factor recursive least squares (FFRLS) is prone
to abnormal jitter and even divergence under complex working conditions, improved …

A review of multi-state joint estimation for lithium-ion battery: Research status and suggestions

F Liu, D Yu, C Shao, X Liu, W Su - Journal of Energy Storage, 2023 - Elsevier
With the rapid development and widespread application of smart grids, electric vehicles and
various electronic devices, the demand of lithium-ion battery (LIB) is constantly increasing …

An extended Kalman filter based data-driven method for state of charge estimation of Li-ion batteries

X Liu, K Li, J Wu, Y He, X Liu - Journal of Energy Storage, 2021 - Elsevier
Accurate state-of-charge (SOC) estimation, which can effectively prevent battery overcharge
and over-discharge, provide accurate driving range and extend battery life, is challenging …

Progress and perspectives of liquid metal batteries

S Wu, X Zhang, R Wang, T Li - Energy Storage Materials, 2023 - Elsevier
The increasing demands for the penetration of renewable energy into the grid urgently call
for low-cost and large-scale energy storage technologies. With an intrinsic dendrite-free …

State of charge (SOC) estimation of lithium-ion battery based on adaptive square root unscented kalman filter

W Kai, F **ao, P **bo, R Jun, D Chongxiong… - International Journal of …, 2020 - Elsevier
The improved battery management system (BMS) can give full play to the best performance
of power battery, and the state of charge (SOC) estimation of power lithium-ion battery is the …

Recent progress and future trends on the state of charge estimation methods to improve battery-storage efficiency: A review

MO Qays, Y Buswig, ML Hossain… - CSEE Journal of …, 2020 - ieeexplore.ieee.org
Battery storage systems are subject to frequent charging/discharging cycles, which reduce
the operational life of the battery and reduce system reliability in the long run. As such …