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Transfer learning-based SOH estimation from partial charging data with polarization-aware modeling. [PDF]
Sci RepLi Y +6 more
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Research on predicting the state of health of lithium-ion batteries via back propagation network based on multi-feature combination of electrochemical impedance spectroscopy. [PDF]
PLoS OneChen F +6 more
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From battery modeling to Battery Management
2011 IEEE 33rd International Telecommunications Energy Conference (INTELEC), 2011The 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.
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Battery Aging, Battery Charging and the Kinetic Battery Model: A First Exploration
2017Rechargeable 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 +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, 2005This 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 +3 more
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Statistical Battery Models and Variation-Aware Battery Management
Proceedings of the 51st Annual Design Automation Conference, 2014Cell-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 +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), 2012The 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 +3 more
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Battery Modelling and SOC Estimation of a LiFePO4 Battery
2016 International Symposium on Computer, Consumer and Control (IS3C), 2016The 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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Energetical Modeling of Lithium-Ion Batteries
2007 IEEE Industry Applications Annual Meeting, 2007All electrochemical batteries are characterized by an electrical behavior which depends on temperature, state of charge and current. In the case of lithium-ion accumulators, the energetical behavior is moreover deeply marked by line effects, due to the porosity of both electrodes. This paper deals with investigations on accurate energetical modeling of
Urbain, Matthieu +2 more
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