Towards a smarter battery management system for electric vehicle applications: A critical review of lithium-ion battery state of charge estimation

MU Ali, A Zafar, SH Nengroo, S Hussain, M Junaid Alvi… - Energies, 2019 - mdpi.com
Energy storage system (ESS) technology is still the logjam for the electric vehicle (EV)
industry. Lithium-ion (Li-ion) batteries have attracted considerable attention in the EV …

[HTML][HTML] A review of recent advances in fractional-order sensing and filtering techniques

CI Muresan, IR Birs, EH Dulf, D Copot, L Miclea - Sensors, 2021 - mdpi.com
The present manuscript aims at raising awareness of the endless possibilities of fractional
calculus applied not only to system identification and control engineering, but also into …

State-of-charge estimation of li-ion battery in electric vehicles: A deep neural network approach

DNT How, MA Hannan, MSH Lipu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The state of charge (SOC) is a crucial parameter of a battery management system for Li-ion
batteries. The SOC indicates the amount of charge left in the battery of electric vehicles-akin …

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 …

Toward enhanced state of charge estimation of lithium-ion batteries using optimized machine learning techniques

MA Hannan, MSH Lipu, A Hussain, PJ Ker… - Scientific reports, 2020 - nature.com
State of charge (SOC) is a crucial index used in the assessment of electric vehicle (EV)
battery storage systems. Thus, SOC estimation of lithium-ion batteries has been widely …

State-of-charge and state-of-health estimation for lithium-ion batteries based on dual fractional-order extended Kalman filter and online parameter identification

L Ling, Y Wei - Ieee Access, 2021 - ieeexplore.ieee.org
Accurate state-of-charge (SOC) and state-of-health (SOH) estimations of batteries are of
great significance for electric vehicles. A combined SOC and SOH estimation method for …

A state of charge estimation method for lithium-ion batteries based on fractional order adaptive extended kalman filter

Q Zhu, M Xu, W Liu, M Zheng - Energy, 2019 - Elsevier
This paper focuses on the state of charge (SOC) estimation of a lithium-ion battery based on
a fractional-order adaptive extended Kalman filter (FO-AEKF). First, a fractional order model …

State-of-charge estimation of lithium-ion batteries based on MCC-AEKF in non-Gaussian noise environment

C Wu, W Hu, J Meng, X Xu, X Huang, L Cai - Energy, 2023 - Elsevier
The extended Kalman filter (EKF) has low estimation accuracy for lithium-ion battery SOC
under non-Gaussian noise interference. To solve this problem, an adaptive EKF based on …

State-of-charge estimation tolerant of battery aging based on a physics-based model and an adaptive cubature Kalman filter

X Li, Z Huang, J Tian, Y Tian - Energy, 2021 - Elsevier
Battery performance declines with aging. This phenomenon makes it difficult to estimate the
state-of-charge (SOC) of the battery. Because physics-based battery models (PBMs) can …

A multi-scale fractional-order dual unscented Kalman filter based parameter and state of charge joint estimation method of lithium-ion battery

J Wu, C Fang, Z **, L Zhang, J **ng - Journal of Energy Storage, 2022 - Elsevier
Accurate estimation of lithium-ion batteries' state of charge (SOC) is the key to the battery
management system (BMS). A multi-scale fractional-order dual unscented Kalman filter is …