A novel fading memory recursive least square method (FMLS) for accurate state of charge estimation of lithium-ion batteries combined with improved second order …

D Liu, Y Fan, S Wang, L Xia, J Qiu… - International Journal of …, 2021 - Elsevier
As the main energy storage element and power source of electric vehicles, the accurate
estimation of the state of charge (SOC) of lithium-ion batteries is very important for the …

Improved parameters identification and state of charge estimation for lithium-ion battery with real-time optimal forgetting factor

T Ouyang, P Xu, J Chen, J Lu, N Chen - Electrochimica Acta, 2020 - Elsevier
Accurate estimation of state of charge (SOC) is extremely essential for energy management
of electric vehicles, and precise identification of model parameters will directly affect the …

Research on the state of charge estimation method of lithium‐ion batteries based on novel limited memory multi‐innovation least squares method and SDE‐2‐RC …

J Cao, S Wang, Y Xie… - International Journal of …, 2023 - Wiley Online Library
Because of the common data redundancy phenomenon in the current least‐squares
parameter identification algorithm and the complex offline parameter identification process …

A Novel Bias Compensated Recursive Least Squares and Multi Innovation Unscented Kalman Filtering Algorithm Method for Accurate State of Charge Estimation of …

K Liu, S Wang, C Yu, C Qi, X Yang, J Qiao - International Journal of …, 2022 - Elsevier
The accurate estimation of the state of charge (SOC) of lithium-ion batteries plays an
important role in the performance and safety of the battery management system (BMS) of …

A novel fusion method for state-of-charge estimation of lithium-ion batteries based on improved genetic algorithm BP and adaptive extended Kalman filter

L Cao, C Shao, Z Zhang, S Cao - Sensors, 2023 - mdpi.com
The lithium-ion battery is the power source of an electric vehicle, so it is of great significance
to estimate the state of charge (SOC) of lithium-ion batteries accurately to ensure vehicle …

Research on SOC estimation for lithium ion batteries based on improved PNGV equivalence model and AF-UKF algorithm

H Zhou, S Wang, C Yu, L Xia, C Fernandez - International Journal of …, 2022 - Elsevier
Accurately estimating the state of charge of lithium-ion batteries is of great significance for
real-time monitoring and safety control of batteries. To solve the problems of difficult real …

State of Charge estimation of lithium-ion power battery based on online parameter identification method and BP neural network

S Qin, D Qin, H Wu, T Wang, J Chen, P Wang - International Journal of …, 2022 - Elsevier
The accurate estimation of power battery state of charge (SOC) is of great significance to
vehicle driving safety and energy management. In this paper, the second-order RC …

Improved parameter identification and state-of-charge estimation for lithium-ion battery with fixed memory recursive least squares and sigma-point Kalman filter

C Sun, H Lin, H Cai, M Gao, C Zhu, Z He - Electrochimica Acta, 2021 - Elsevier
Accurate estimation of state-of-charge (SOC) of lithium-ion batteries (LIBs) is one of the
important tasks of the on-board battery management system (BMS) to ensure the safe …

Dynamic adaptive square-root unscented Kalman filter and rectangular window recursive least square method for the accurate state of charge estimation of lithium-ion …

S Liu, D Deng, S Wang, W Luo… - Journal of Energy …, 2023 - Elsevier
Building an accurate battery model and realizing a high-precision state of charge (SOC)
estimation is the key to ensuring the safe and efficient operation of electric vehicles. In this …

High-precision state of charge estimation of lithium-ion batteries based on joint compression factor particle swarm optimization-forgetting factor recursive least square …

J Yang, S Wang, L Chen, J Qiao… - Journal of The …, 2023 - iopscience.iop.org
Accurate state of charge (SOC) estimation is an important basis for battery energy
management and the applications of lithium-ion batteries. In this paper, an improved …