An Incremental Capacity Parametric Model Based on Logistic Equations for Battery State Estimation and Monitoring

An incremental capacity parametric model for batteries is proposed. The model is based on Verhulst’s logistic equations and distributions in order to describe incremental capacity peaks. The model performance is compared with polynomial models and is demonstrated on a commercial lithium-ion cell. Experimental data features low-current discharges performed at temperatures ranging from −20 °C to 55 °C. The results demonstrate several advantages of the model compared to empirical models. The proposed model enables a clear description of the geometric features of incremental capacity peaks. It also doubles as an open circuit voltage model as the voltage curve can be fully recovered from parameterization on incremental capacity curves. The study of temperature sensitivity show that peak geometric parameters can be modelled as a function of temperature. An example of practical application is then displayed by using the model to estimate battery state-of-charge from voltage and temperature measurements. This example can expand to other practical applications for battery management systems such as state-of-health monitoring

Behavior and State-of-Health Monitoring of Li-ion Batteries Using Impedance Spectroscopy and Recurrent Neural Networks

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Behavior and State-of-Health Monitoring of Li-ion Batteries Using Impedance Spectroscopy and Recurrent Neural Networks

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Dynamic battery aging model: representation of reversible capacity losses using first order model approach

International audienceThis article deals about battery capacity ageing model, taking into account battery capacity regeneration during battery rest.In fact the battery capacity losses are modeled as a sum of a reversible part recovered after sufficient rest time and an irreversible part, definitely lost due to battery aging. A 12Ah commercial lithium battery was aged at 45°C with sequences of 5days under power cycling followed by 2 days of rest, over more than 100 days. The model was implemented using Matlab\Simulink. Simulation results are in agreement with the experimental test, including capacity regeneration and battery capacity losses

2D finite elements electro-thermal modeling for IGBT: uni and multicellular approach

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Ageing quantification of supercapacitors during power cycling using online and periodic characterization tests

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Thermo-mechanical simulations in double-sided heat transfer power assemblies

International audienceIn power assemblies, heat transfer due to the die self-heating is one of the most important point on time life assemblies. Heat has to be evacuated toward the base-plate not to weaken the solder joint under the die. Double-sided assemblies are attractive for heat transfer and many studies were initiated to have better heat transfer. So, we can observe less density energy deformation (DED) in solder joints and more stresses in the die. The purpose of this paper is to quantify the part of DED in the joint compared to the stresses in the die and finally to see the best configuration between single or double face assemblies

Non-isothermal Ragone plots of Li-ion cells from datasheet and galvanostatic discharge tests

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