Review on modeling and soc/soh estimation of batteries for automotive applications

P Dini, A Colicelli, S Saponara - Batteries, 2024 - mdpi.com
Lithium-ion batteries have revolutionized the portable and stationary energy industry and
are finding widespread application in sectors such as automotive, consumer electronics …

Kalman Filter Tuning for State Estimation of Lithium‐Ion Batteries by Multi‐Objective Optimization via Hyperspace Exploration

P Mößle, T Tietze, MA Danzer - Energy Technology, 2023 - Wiley Online Library
For the estimation of the state of charge of lithium‐ion batteries Kalman filters are the state of
the art. To ensure precise and reliable estimations these filters use covariance matrices …

Improved joint prediction strategy for state of charge and peak power of lithium-ion batteries by considering hysteresis characteristics-current measurement deviation …

C Qi, S Wang, W Cao, Y Wang, D Liu… - Journal of Energy …, 2024 - Elsevier
The peak power and state of charge of lithium-ion batteries are closely related to the safety
of electric vehicles. Accurate peak power and state of charge prediction can extend battery …

Utilizing Machine Learning for the Prediction of the Hysteresis Factor

V Kleine - repository.tudelft.nl
The management of electric vehicle (EV) batteries involves accurately estimating their state-
of-charge (SOC), which indicates remaining usable energy. Precise SOC estimation extends …

State of charge estimation of lithium-ion batteries based on KF-SRUKF algorithm

J Xue - Proceedings of the 2024 International Conference on …, 2024 - dl.acm.org
This article first establishes a second-order RC equivalent circuit model, uses the double
loop recursive least squares method for model parameter identification, and then estimates …

[引用][C] Farklı lityum iyon piller için batarya şarj durumu tahmini

M Tekin - 2024 - Bursa Uludağ Üniversitesi