Kalman filtering techniques for the online model parameters and state of charge estimation of the Li-ion batteries: A comparative analysis

M Hossain, ME Haque, MT Arif - Journal of Energy Storage, 2022 - Elsevier
The state of charge (SoC) is the most commonly used performance indicator of battery used
in various applications. A chronic erroneous estimation of battery SoC may result in constant …

[HTML][HTML] IoB: Internet-of-batteries for electric Vehicles–Architectures, opportunities, and challenges

H Li, MB Kaleem, Z Liu, Y Wu, W Liu… - Green Energy and …, 2023 - Elsevier
The concept of the Internet-of-Batteries (IoB) has recently emerged and offers great potential
for the control and optimization of battery utilization in electric vehicles (EV). This concept …

Co-estimation of state of charge and state of health for lithium-ion batteries based on fractional-order model with multi-innovations unscented Kalman filter method

L Ma, Y Xu, H Zhang, F Yang, X Wang, C Li - Journal of Energy Storage, 2022 - Elsevier
Accurate state of charge (SOC) and state of health (SOH) estimation is very important to
ensure safe and efficient operation of electric vehicle battery system. In this study, an …

A strong tracking adaptive fading‐extended Kalman filter for the state of charge estimation of lithium‐ion batteries

P Takyi‐Aninakwa, S Wang, H Zhang… - … Journal of Energy …, 2022 - Wiley Online Library
Lithium‐ion batteries are widely used as rechargeable energy and power storage system in
smart devices and electric vehicles because of their high specific energy, high power …

An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries

P Takyi-Aninakwa, S Wang, H Zhang, H Li, W Xu… - Energy, 2022 - Elsevier
Accurate state of charge (SOC) estimation of lithium-ion batteries by the battery
management system (BMS) plays a prominent role in ensuring their reliability, safe …

A chaotic firefly-Particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance

J Qiao, S Wang, C Yu, X Yang, C Fernandez - Energy, 2023 - Elsevier
In this research, a novel dynamic migration model is proposed, which can better describe
the dynamic characteristics of the lithium-ion batteries under different aging states by …

[HTML][HTML] Co-estimation of state-of-charge and state-of-health for lithium-ion batteries considering temperature and ageing

X Lai, M Yuan, X Tang, Y Yao, J Weng, F Gao, W Ma… - Energies, 2022 - mdpi.com
State-of-charge (SOC) estimation of lithium-ion batteries (LIBs) is the basis of other state
estimations. However, its accuracy can be affected by many factors, such as temperature …

Neural network extended state-observer for energy system monitoring

Y Zhu, Z Dong, Z Cheng, X Huang, Y Dong, Z Zhang - Energy, 2023 - Elsevier
Due to the complexity of industrial energy systems such as the thermal power plants,
renewable plants and batteries, energy system monitoring is gaining more and more …

A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries

P Takyi-Aninakwa, S Wang, H Zhang, Y Xiao… - Journal of Energy …, 2023 - Elsevier
Due to the high nonlinearities and unstable working conditions, accurately estimating the
state of charge (SOC) by the battery management system (BMS) is a major challenge in …

Collaborative evaluation of SoC, SoP and SoH of lithium-ion battery in an electric bus through improved remora optimization algorithm and dual adaptive Kalman …

P Reshma, VJ Manohar - Journal of Energy Storage, 2023 - Elsevier
Many countries are switched to electric vehicles (EVs) for public transportation, which
increases the adoption of electric buses. Batteries are the key component in battery …