Uncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directions

MS Reza, MA Hannan, PJ Ker, M Mansor… - Journal of Energy …, 2023 - Elsevier
The continuously growing population and urban growth rates are responsible for the sharp
rise in energy consumption, which leads to increased CO 2 emissions and demand-supply …

Transfer learning based generalized framework for state of health estimation of Li-ion cells

S Sahoo, KS Hariharan, S Agarwal, SB Swernath… - Scientific Reports, 2022 - nature.com
Estimating the state of health (SOH) of batteries powering electronic devices in real-time
while in use is a necessity. The applicability of most of the existing methods is limited to the …

Field programmable gate arrays implementation of a Kalman filter based state of charge observer of a lithium ion battery pack

KEK Benkara, A Alchami, AN Eddine, G Bakaraki… - Journal of Energy …, 2023 - Elsevier
This paper presents a study on the state of charge observation of lithium-Ion batteries for
energy management in embedded applications. The knowledge of the state of charge is …

State-of-Health Prediction of Lithium-Ion Batteries Based on Diffusion Model with Transfer Learning

C Luo, Z Zhang, S Zhu, Y Li - Energies, 2023 - mdpi.com
An accurate state-of-health (SOH) prediction of lithium-ion batteries (LIBs) is crucial to their
safe and reliable. Although recently the data-driven methods have drawn great attention …

A Correlation-augmented Informer-based Method for State-of-Health Estimation of Li-ion Batteries

M Gao, H Shen, Z Bao, Y Deng, Z He - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Accurate estimation of the state of health (SOH) of lithium-ion batteries is crucial to ensure
their safe and reliable use. To address the issue of neglecting correlations between different …

Parallelized Particle Filter With Efficient Pipelining on FPGA for Real-Time Ballistic Target Tracking

D Kim, H Lee, HH Kwon, Y Hwang, W Choi - IEEE Access, 2023 - ieeexplore.ieee.org
In this paper, the problem of a real-time ballistic target tracking is addressed. Because the
tracking process can be affected by the uncertainty in models and disturbances, probabilistic …

Interpretable Deep Learning Approach for Long Horizon Health Prognosis of a Li-ion Battery

ST Rapolu, UC Kadali, J Vemula… - 2023 IEEE 20th India …, 2023 - ieeexplore.ieee.org
The safety of a wide range of devices depends on the accurate long-term estimation of the
State-of-health (SoH) of Lithium-ion battery. However, the existing techniques have several …

Smart Meter Based on FPGA for Battery Monitoring

L Jenifer, S Radhika - 2023 International Conference on Circuit …, 2023 - ieeexplore.ieee.org
Battery management system analysis and design for mobile device battery monitoring is a
revolutionary approach that incorporates the capability the battery which contains the battery …

Estimation of Health and Initial SOC based on Voltage Variation for LiPo battery

M Nirmala, SD Shree - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
This paper aims to evaluate and exhibit the State of Health and initial State of Charge of a
Lithium-ion Polymer Battery, which offers high power and energy density. SOH and SOC …