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Design and techno-economic validation of a university campus hybrid microgrid using HOMER Pro and DIgSILENT PowerFactory. [PDF]

Sci Rep
Hasan MM, Refat KA, Ali MF, Alam MS, Obaidi O, Ali M, Islam MK, Imran IH.   +7 more
europepmc   +1 more source

Long-cycling organic flow batteries enabled by electronic-spatial synergistic modulation. [PDF]

Sci Adv
Wang T, Xia Y, Gao C, Huang T, Zhao Z, Chen M, Yang M, Cui M, Ding Y.   +8 more
europepmc   +1 more source

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Battery Management System Based on Battery Nonlinear Dynamics Modeling

IEEE Transactions on Vehicular Technology, 2008
This paper presents a method of determining electromotive force and battery internal resistance as time functions, which are depicted as functions of state of charge (SOC) because . The model is based on battery discharge and charge characteristics under different constant currents that are tested by a laboratory experiment. This paper further presents
Antoni Szumanowski, Yuhua Chang
exaly   +2 more sources

From battery modeling to Battery Management

2011 IEEE 33rd International Telecommunications Energy Conference (INTELEC), 2011
The principles of rechargeable battery operation form the basis of the electronic network models developed for Nickel-based aqueous battery systems, including Nickel Metal Hydride (NiMH), and non-aqueous battery systems, such as the well-known Li-ion.
Notten, P.H.L., Danilov, D.
openaire   +2 more sources

Battery Aging, Battery Charging and the Kinetic Battery Model: A First Exploration

2017
Rechargeable batteries are omnipresent and will be used more and more, for instance for wearables devices, electric vehicles or domestic energy storage. However, batteries can deliver power only for a limited time span. They slowly degrade with every charge-discharge cycle. This degradation needs to be taken into account when considering the battery in
Marijn R. Jongerden, Boudewijn R. Haverkort   +1 more
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Battery model for embedded systems

18th International Conference on VLSI Design held jointly with 4th International Conference on Embedded Systems Design, 2005
This paper explores the recovery and rate capacity effect for batteries used in embedded systems. It describes the prominent battery models with their advantages and drawbacks. It then throws new light on the battery recovery behavior, which can help determine optimum discharge profiles and hence result in significant improvement in battery lifetime ...
Venkat Rao, Gaurav Singhal, Anshul Kumar, Nicolas Navet   +3 more
openaire   +1 more source

Statistical Battery Models and Variation-Aware Battery Management

Proceedings of the 51st Annual Design Automation Conference, 2014
Cell-to-cell variability of batteries is a well-known problem especially when it comes to assembling large battery packs. Different battery cells exhibit substantial variability among them due to manufacturing tolerances, which should be carefully assessed and managed.
SHIN, DONGHWA, MACII, Enrico, PONCINO, MASSIMO   +2 more
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A dynamic battery model for simulation of battery-to-grid applications

2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 2012
The number of fluctuating energy sources in the power grid increases continuously. Simultaneously the importance of electrical energy storage increases. Batteries are one promising possibility for short-term storage. In this work a mathematical impedance model of a Lithium-ion battery with high dynamics for simulation of loads due to driving cycles and
Clemens Guenther, Joaquin Klee Barillas, Stefan Stumpp, Michael A. Danzer   +3 more
openaire   +1 more source

Battery System Modeling

2021
Battery System Modeling provides advances on the modeling of lithium-ion batteries. Offering step-by-step explanations, the book systematically guides the reader through the modeling of state of charge estimation, energy prediction, power evaluation, health estimation, and active control strategies.
Wang, Shun-Li, Fan, Yongcun, Stroe, Daniel-Ioan, Fernandez, Carlos, Yu, Chunmei, Cao, Wen, Chen, Zonghai   +6 more
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Battery Modelling and SOC Estimation of a LiFePO4 Battery

2016 International Symposium on Computer, Consumer and Control (IS3C), 2016
The change rate of terminal voltage of a LiFePO4 battery is too small to be used to estimate state of charge (SOC) during discharging when the battery is within 10-80% SOC. A coulombic counting SOC estimation (Ah) method has the disadvantages of accumulated error and start point error.
Ming-Yang Ke, Yu-Hsiang Chiu, Chi-Yao Wu
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