Results 61 to 70 of about 721,726 (209)

Joint estimation of SOC and SOH for lithium-ion batteries based on FOAMIUHF-UKF model. [PDF]

Sci Rep
Accurate and rapid estimation of power battery state of charge (SOC) and state of health (SOH) is crucial for ensuring the safe and reliable operation of electric vehicles. A joint SOC and SOH estimation method proposed in the study based on a fractional-
Ye Z, Deng Z, Xu Y, Lai L, Zhang R, Tong L, Zhang H, Li Y, Gong M, Liu G, Yan M.   +10 more
europepmc   +2 more sources

A novel mechanical analogy based battery model for SoC estimation using a multi-cell EKF

, 2016
The future evolution of technological systems dedicated to improve energy efficiency will strongly depend on effective and reliable Energy Storage Systems, as key components for Smart Grids, microgrids and electric mobility. Besides possible improvements
Mascioli, Fabio Massimo Frattale, Paschero, Maurizio, Rizzi, Antonello, Rizzoni, Giorgio, Storti, Gian Luca   +4 more
core   +1 more source

A Novel Open Circuit Voltage Based State of Charge Estimation for Lithium-Ion Battery by Multi-Innovation Kalman Filter

IEEE Access, 2019
Accurate state of charge (SOC) estimation is a fundamental guarantee for effective development of lithium-ion power battery in electric vehicles. To improve the SOC estimation precision and robustness, a novel model-based estimation approach has been ...
Zheng Liu, Xuanju Dang, Benqin Jing
doaj   +1 more source

State of Charge Estimation for Lithium-Ion Power Battery Based on H-Infinity Filter Algorithm

Applied Sciences, 2020
To accurately estimate the state of charge (SOC) of lithium-ion power batteries in the event of errors in the battery model or unknown external noise, an SOC estimation method based on the H-infinity filter (HIF) algorithm is proposed in this paper ...
Lan Li, Minghui Hu, Yidan Xu, Chunyun Fu, Guoqing Jin, Zonghua Li   +5 more
doaj   +1 more source

Agricultural land abandonment in Mediterranean environment provides ecosystem services via soil carbon sequestration [PDF]

, 2017
Abandonment of agricultural land leads to several consequences for ecosystem functions. Agricultural abandonment may be a significant and low cost strategy for carbon sequestration and mitigation of anthropogenic CO2 emissions due to the vegetation ...
BADALAMENTI, Emilio, Cerdà, A., CRESCIMANNO, Maria, GALATI, Antonino, GRISTINA, Luciano, LA MANTIA, Tommaso, NOVARA, Agata, SALA, Giovanna   +7 more
core   +1 more source

Comparison of data on Mutation Frequencies of Mice Caused by Radiation - Low Dose Model -

, 2013
We propose LD(Low Dose) model, the extension of LDM model which was proposed in the previous paper [Y. Manabe et al.: J. Phys. Soc. Jpn. 81 (2012) 104004] to estimate biological damage caused by irradiation. LD model takes account of all the considerable
Davis A. P., Manabe Y., Muller H. J., Russell W. L., Russell W. L., Russell W. L., Russell W. L., Searle A. G., Selby P. B., Tubiana M., Vilenchik M. M.   +10 more
core   +1 more source

On-chip implementation of Extended Kalman Filter for adaptive battery states monitoring [PDF]

, 2016
This paper reports the development and implementation of an adaptive lithium-ion battery monitoring system. The monitoring algorithm is based on the nonlinear Dual Extended Kalman Filter (DEKF), which allows for simultaneous states and parameters ...
Gladwin, D.T., Nejad, S., Stone, D.A.
core   +1 more source

On Equivalent Circuit Model-Based State-of-Charge Estimation for Lithium-Ion Batteries in Electric Vehicles

IEEE Access
The State-of-Charge (SoC) of Lithium-Ion Batteries (LIBs) is a crucial parameter for Battery Management Systems (BMSs) used in Electric Vehicles (EVs).
Fatma Ahmed, Khalid Abualsaud, Ahmed M. Massoud   +2 more
doaj   +1 more source

Fuzzy Sliding Mode Observer with Grey Prediction for the Estimation of the State-of-Charge of a Lithium-Ion Battery [PDF]

We propose a state-of-charge (SOC) estimation method for Li-ion batteries that combines a fuzzy sliding mode observer (FSMO) with grey prediction. Unlike the existing methods based on a conventional first-order sliding mode observer (SMO) and an adaptive
Goh, T, Kim, D, Kim, SW, Park, M
core   +1 more source

Block-Conditional Missing at Random Models for Missing Data [PDF]

, 2010
Two major ideas in the analysis of missing data are (a) the EM algorithm [Dempster, Laird and Rubin, J. Roy. Statist. Soc. Ser. B 39 (1977) 1--38] for maximum likelihood (ML) estimation, and (b) the formulation of models for the joint distribution of the
John D. Kalbfleisch, Roderick J. A. Little, Roderick J. A. Little Is, Yan Zhou   +3 more
core   +1 more source