A novel battery SOC estimation method based on random search optimized LSTM neural network

X Chai, S Li, F Liang - Energy, 2024 - Elsevier
Battery state of charge (SOC) estimation is crucial for assessing electric vehicle safety and
evaluating the remaining driving range. Owing to the complexity, variability of operating …

A statistical distribution-based pack-integrated model towards state estimation for lithium-ion batteries

X Zhou, S Zhou, Z Gao, G Wang, L Zong, J Liu, F Zhu… - eTransportation, 2024 - Elsevier
The estimation of lithium battery pack is always an essential but troubling issue which has
difficulty on considering the inconsistency during state estimation. Herein, an innovative …

State of charge estimation of lithium-ion battery with an adaptive fractional-order cubature Kalman filter considering initial value problem

H Chai, Z Gao, Z Jiao, D Song - Journal of Energy Storage, 2024 - Elsevier
For the problem of the accurate estimation of the state of charge (SOC) in lithium-ion
batteries, an adaptive fractional-order cubature Kalman filtering algorithm (AFCKF) …

Data-driven state-of-charge estimation of a lithium-ion battery pack in electric vehicles based on real-world driving data

C Sun, M Gao, H Cai, F Xu, C Zhu - Journal of Energy Storage, 2024 - Elsevier
Abstract State-of-charge (SOC) is one of the most important indicators in the battery
management system (BMS) of electric vehicles (EVs). Accurate online estimation of battery …

[HTML][HTML] Comparative Study-Based Data-Driven Models for Lithium-Ion Battery State-of-Charge Estimation

HM Hussein, M Esoofally, A Donekal, SMSH Rafin… - Batteries, 2024 - mdpi.com
Batteries have been considered a key element in several applications, ranging from grid-
scale storage systems through electric vehicles to daily-use small-scale electronic devices …

Wavelet-based spectral clustering algorithm for network communication big data

A Mukil, KS Kakade, CHC Alexander… - AIP Conference …, 2024 - pubs.aip.org
Sensor nodes in wireless networks often run on batteries, which means they have relatively
little energy. Energy conservation is a priority while developing a WSN. Clustering is a well …

Co-estimation of state of charge and capacity for battery packs in real electric vehicles with few representative cells and physics-informed machine learning

Q Wang, M Ye, B Li, G Lian, Y Li - Energy, 2024 - Elsevier
Accurate state of charge and capacity estimation is crucial for battery packs in electric
vehicles. However, the cell inconsistencies, computational complexity, temperature …

Innovative multiscale fusion-antinoise extended long short-term memory neural network modeling for high precision state of health estimation of lithium-ion batteries

J Tao, S Wang, W Cao, Y Cui, C Fernandez… - Energy, 2024 - Elsevier
An accurate assessment of lithium-ion (Li-ion) batteries' state of health (SOH) is essential for
the safe operation of new energy systems and extended battery life. Health factors were …

A new online SOC estimation method using broad learning system and adaptive unscented Kalman filter algorithm

K Xu, T He, P Yang, X Meng, C Zhu, X Jin - Energy, 2024 - Elsevier
The accurate estimation of lithium batteries' state of charge (SOC) is important for extending
battery life and preventing accidents. To improve the battery model's adaptability to …

[HTML][HTML] Enhancing battery state of charge estimation through hybrid integration of barnacles mating optimizer with deep learning

Z Mustaffa, MH Sulaiman - Franklin Open, 2023 - Elsevier
The precise determination of battery state of charge (SoC) holds paramount significance and
has garnered considerable attention across diverse sectors, including academia. Accurate …