Review on technological advancement of lithium-ion battery states estimation methods for electric vehicle applications

P Shrivastava, PA Naidu, S Sharma… - Journal of Energy …, 2023 - Elsevier
Due to the dynamic and non-linear behavior of lithium-ion battery (LIB) states, the accuracy
of state estimation proportionally impacts the performance of the battery management …

Review on state of charge estimation techniques of lithium-ion batteries: A control-oriented approach

N Ghaeminezhad, Q Ouyang, J Wei, Y Xue… - Journal of Energy …, 2023 - Elsevier
Energy storage has become one of the most critical issues of modern technology. In this
regard, lithium-ion batteries have proven effective as an energy storage option. To optimize …

Improved sparrow search algorithm optimization deep extreme learning machine for lithium-ion battery state-of-health prediction

J Jia, S Yuan, Y Shi, J Wen, X Pang, J Zeng - Iscience, 2022 - cell.com
Accurate state-of-health (SOH) prediction of lithium-ion batteries (LIBs) plays an important
role in improving the performance and assuring the safe operation of the battery energy …

A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries …

S Wang, P Takyi-Aninakwa, Y Fan, C Yu, S Jin… - International Journal of …, 2022 - Elsevier
Accurate state of charge (SOC) and closed-circuit voltage (CCV) prediction is essential for
lithium-ion batteries and their model performance. In this study, a novel feedback correction …

A Review of Expert Hybrid and Co-Estimation Techniques for SOH and RUL Estimation in Battery Management System with Electric Vehicle Application

T Alsuwian, S Ansari, MAAM Zainuri, A Ayob… - Expert Systems with …, 2024 - Elsevier
To improve the functionality and efficiency of electric vehicles (EVs), the smart battery
management system (BMS) is essential. The accurate estimation of the state of health (SOH) …

An improved generic hybrid prognostic method for RUL prediction based on PF-LSTM learning

K Xue, J Yang, M Yang, D Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate estimation and prediction of the state-of-health (SOH) and remaining useful life
(RUL) are fundamental to optimal maintenance strategies formulation for prognostics and …

Improved particle swarm optimization-extreme learning machine modeling strategies for the accurate lithium-ion battery state of health estimation and high …

C Zhang, S Wang, C Yu, Y Xie… - Journal of the …, 2022 - iopscience.iop.org
To ensure the secure and stable operation of lithium-ion batteries, the state of health (SOH)
and the remaining useful life (RUL) are the critical state parameters of lithium-ion batteries …

State of health estimation based on the long short-term memory network using incremental capacity and transfer learning

L Yao, J Wen, S Xu, J Zheng, J Hou, Z Fang, Y Xiao - Sensors, 2022 - mdpi.com
Battery state of health (SOH) estimating is essential for the safety and preservation of electric
vehicles. The degradation mechanism of batteries under different aging conditions has …

A multi-scale state of health prediction framework of lithium-ion batteries considering the temperature variation during battery discharge

J Jia, K Wang, Y Shi, J Wen, X Pang, J Zeng - Journal of Energy Storage, 2021 - Elsevier
State of health (SoH) prediction of Lithium-ion batteries is very essential to monitor and
optimize battery behavior and safety in the battery management system (BMS). However, the …

An interpretable BRB model with interval optimization strategy for lithium battery capacity prediction

P Han, B Zhao, W He, L Kong, Y Li… - Energy Science & …, 2023 - Wiley Online Library
Accurately predicting the capacity of lithium battery is conducive to improving its safety.
Affected by complex internal electrochemical reaction and external use conditions, the …