State of charge and state of energy estimation for lithium-ion batteries based on a long short-term memory neural network

L Ma, C Hu, F Cheng - Journal of Energy Storage, 2021 - Elsevier
State of charge (SOC) and state of energy (SOE) are two crucial battery states which
correspond to available capacity in Ah and available energy in Wh, respectively. Both of …

[HTML][HTML] Transformer-Based Deep Learning Models for State of Charge and State of Health Estimation of Li-Ion Batteries: A Survey Study

J Guirguis, R Ahmed - Energies, 2024 - mdpi.com
The global transportation system's need for electrification is driving research efforts to
overcome the drawbacks of battery electric vehicles (BEVs). The accurate and reliable …

Intelligent Deep Learning Estimators of a Lithium-Ion Battery State of Charge Design and MATLAB Implementation—A Case Study

N Tudoroiu, M Zaheeruddin, RE Tudoroiu, MS Radu… - Vehicles, 2023 - mdpi.com
The main objective of this research paper was to develop two intelligent state estimators
using shallow neural network (SNN) and NARX architectures from a large class of deep …

A Sensor-Fault-Estimation Method for Lithium-Ion Batteries in Electric Vehicles

T Lan, ZW Gao, H Yin, Y Liu - Sensors, 2023 - mdpi.com
In recent years, electric vehicles powered by lithium-ion batteries have developed rapidly,
and the safety and reliability of lithium-ion batteries have been a paramount issue. Battery …

A Novel Data‐Driven Approach to Lithium‐ion Battery Dynamic Charge State Capture for New Energy Electric Vehicles

L Zheng, H Huang, R Liu, J Man, Y Shi… - Advanced Theory and …, 2024 - Wiley Online Library
As lithium‐ion batteries are the main power source of new energy vehicles, making accurate
predictions of unknown State of Charge (SOC) during vehicle operation for vehicle data …

Precise State-of-Charge Estimation in Electric Vehicle Lithium-Ion Batteries Using a Deep Neural Network

A Saleem, C Batunlu, C Direkoglu - Arabian Journal for Science and …, 2024 - Springer
Accurate state-of-charge (SOC) estimation is a cornerstone of reliable battery management
systems (BMS) in electric vehicles (EVs), directly impacting vehicle performance and battery …

Adaptive Joint Sigma-Point Kalman Filtering for Lithium-Ion Battery Parameters and State-of-Charge Estimation.

H Bouchareb, K Saqli, NK M'sirdi… - World Electric …, 2024 - search.ebscohost.com
Precise modeling and state of charge (SoC) estimation of a lithium-ion battery (LIB) are
crucial for the safety and longevity of battery systems in electric vehicles. Traditional …

[PDF][PDF] Battery State of Charge estimation using a Machine Learning approach

B Lucchetta, L Ballan, M Rossi… - CORSO DI LAUREA …, 2021 - bryanlucchetta.com
With the advent of Electric Vehicles (EVs), new problems and challenges arise. One among
many, involve the estimation of the residual capacity left inside EV's battery, or similarly the …

Variational mode decomposition enabled temporal convolutional network model for state of charge estimation

Z Zhang, T Cai, A Yuan - IET Cyber‐Physical Systems: Theory & …, 2023 - Wiley Online Library
Due to the fast growth of electric vehicles (EVs), estimation for Battery's State‐of‐charge
(SOC) received significant research interests. The reason is that an accurate SOC estimation …

KS-Autoformer: An Autoformer-Based SOC Prediction Framework for Electric Vehicles

Y Wang, N Chen, L Rao, D Yang, G Fan… - … Conference on Mobile …, 2023 - Springer
Accurate state of charge prediction is essential for battery management systems, which is
crucial for improving battery utilization efficiency and ensuring safety performance. Current …