Publicaties

Batteries are often tested per cell. But in most cases more than one single cell is needed for an application and the characteristics of a module of cells is not the same. In other cases the whole module is examined as one big cell, without looking on the individual cells. But the weakest cell affects the performance of the whole module. This research goes deeper than the module approach on batteries: the behaviour of individual cells is ...

Lithium ion capacitor is a new electric storage device which combines high power density of a EDLC and high energy density of a battery. It has four time higher energy density than conventional supercapacitor and four time higher power density than a lithium battery. The characteristics of an electric storage device are usually determined by testing only one cell or the whole pack (without looking at the individual cells), with a low, constant ...

This paper represents the optimization of an advanced battery model parameter minimization tool for estimation of lithium-ion battery model parameters. This system is called Extended Levenberg-Marquardt. The proposed system is able to predict the non-linearity of lithium-ion batteries accurately. A fitting percentage of over 99% between the simulation and experimental results can be achieved.
Then, this paper contains a new 2nd order ...

This paper represents the calendar life cycle test
results of a 7Ah lithium iron phosphate battery cell. In the
proposed article and extended analysis has been carried out
for the main aging parameters during calendar life and the
associated impact of the used battery model.
From the analysis, it has been showed that the impact of
high temperatures and state of charge is harmful for the
lifetime of the battery. ...

Battery performances at different operating conditions, temperature, loading ... etc, have a great influence on the performance of the electrical vehicles (EVs) and hybrid electric vehicles (HEVs). Therefore, an accurate and efficient battery model is needful to predict and optimize the battery performance. This paper presents a battery model with a series of innovative aspects into the partnership for a new generation of vehicles (PNGV), which ...

Battery runtime, I-V characteristics and other performances at different operating conditions are
crucial in portable electronics especially in Electrical Vehicles (EVs). With an accurate and efficient
battery models it can be predict and optimize battery performance especially under practical
runtime usage such as Battery Management Systems (BMS). Two of the famous battery models are
Thevenin battery model and the Partnership ...

This paper presents the performance characteristics of ten commercial lithium-ion brands of various chemistries for use in Plug-in Hybrid Electric Vehicle applications. The cells chemistries are based on iron phosphate, nickel manganese cobalt oxide and nickel cobalt aluminum in the positive electrode. The experimental results indicate that nickel manganese cobalt oxide based cells show the best energy density in the range of 126 - 149Wh/kg ...

Battery characteristics and performances at different operating conditions are crucial in its applications especially in Electrical Vehicles (EVs). With an accurate and efficient battery model it can be predict and optimize battery performance especially under runtime usage such as Battery Management Systems (BMS). An accurate method for estimating the battery model parameters is needed before constructing a reliable battery model.
This ...

Being able to predict the behaviour of rechargeable energy storage systems (RESS) such as batteries and electric double-layer capacitors (EDLC) relies on the models used to represented them. Research on the development and enhancement of these models is performed on two tracks: on one hand by defining the model topology, where a trade-off is sought between the reduction of components in the model equivalent scheme and the ability of the model to ...