Results 1 to 10 of about 682,583 (305)

State-of-Charge Estimation for Lithium-Ion Batteries Using Residual Convolutional Neural Networks [PDF]

open access: yesSensors, 2022
State-of-charge (SOC) is a relative quantity that describes the ratio of the remaining capacity to the present maximum available capacity. Accurate SOC estimation is essential for a battery-management system.
Yu-Chun Wang   +4 more
doaj   +2 more sources

State of Charge based Charging Controller with Temperature monitoring system for Lithium ion Battery in Electric Vehicle [PDF]

open access: yesE3S Web of Conferences, 2023
The battery management system plays a vital role in electric vehicles. Improper charging and discharging of the battery alters the chemical properties of the battery and thereby reduces its lifetime.
A. Guna, S Sharmila Kumari, G Sivapriya
doaj   +1 more source

State-of-charge indication in portable applications [PDF]

open access: yesProceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005., 2005
The known methods of state-of-charge (SoC) indication in portable applications are not accurate enough under all practical conditions. The method presented in this paper aims at designing and testing an SoC indication system capable of predicting the remaining capacity of the battery and the remaining run-time with an accuracy of 1 minute or better ...
Pop, V.   +3 more
openaire   +3 more sources

Lithium-ion battery state-of-charge estimation based on a dual extended Kalman filter and BPNN correction

open access: yesConnection Science, 2022
It is challenging for a battery management system to estimate the State-Of-Charge (SOC) of batteries. A novel model-based method, using a Dual Extended Kalman Filtering algorithm (DEKF) and Back Propagation Neural Network (BPNN), is proposed to estimate ...
Likun Xing, Liuyi Ling, Xianyuan Wu
doaj   +1 more source

A Systematic Literature Review of State of Health and State of Charge Estimation Methods for Batteries Used in Electric Vehicle Applications

open access: yesWorld Electric Vehicle Journal, 2023
In recent years, artificial intelligence and machine learning have captured the attention of researchers and industrialists in order to estimate and predict the state of batteries. The quality of data must be good, and the source of data must be the same
Radhika Swarnkar   +3 more
doaj   +1 more source

State-of-Charge Aware EV Charging

open access: yes2022 IEEE Power & Energy Society General Meeting (PESGM), 2022
Recent proliferation in electric vehicles (EVs) are posing profound impacts over the operation of electrical grids. In particular, due to the physical constraints on charging stations' capacity and uncertainty in charging demand, it becomes an emerging challenge to design high performance scheduling algorithms to better serve charging sessions. In this
Yize Chen, Baosen Zhang
openaire   +2 more sources

Co-Estimation of State-of-Charge and State-of-Health for High-Capacity Lithium-Ion Batteries

open access: yesBatteries, 2023
To address the challenges of efficient state monitoring of lithium-ion batteries in electric vehicles, a co-estimation algorithm of state-of-charge (SOC) and state-of-health (SOH) is developed.
Ran Xiong   +6 more
doaj   +1 more source

Equation of State of Charged Rod Dispersions

open access: yesThe Journal of Physical Chemistry B, 2023
We study the accuracy of the theory of Stroobants, Lekkerkerker and Odijk, called SLO theory (Macromolecules 19 (1986) 2232-2238), to describe the thermodynamic properties of an isotropic fluid of charged rods. By incorporation of the effective diameter of the rods according to SLO theory into scaled particle theory (SPT) we obtain an expression for ...
Tuinier, Remco, Kuhnhold, Anja
openaire   +5 more sources

A universal state-of-charge algorithm for batteries [PDF]

open access: yesProceedings of the 47th Design Automation Conference, 2010
State-of-charge (SOC) measures energy left in a battery, and it is critical for modeling and managing batteries. Developing efficient yet accurate SOC algorithms remains a challenging task. Most existing work uses regression based on a time-variant circuit model, which may be hard to converge and often does not apply to different types of batteries ...
Bingjun Xiao, Yiyu Shi 0001, Lei He 0001
openaire   +1 more source

Crescent States in Charge-Imbalanced Polariton Condensates [PDF]

open access: yesPhysical Review Letters, 2020
6 pages, 4 figures, plus supplemental ...
Artem Strashko   +3 more
openaire   +6 more sources

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