Latest revision as of 10:40, 16 February 2021

Abstract

Typically, the unique objective pursued in either active or passive balancing is equalization of single cell charge. However, a balancing circuit may offer more control features, like virtual equalization of single cell internal resistance or thermal balancing. Such control features for balancing systems are evaluated in this paper by means of convex optimization. More than one hundred cases in a pure EV application are evaluated. Balancing circuits' efficiency models are implemented and realistic cell-to-cell parameter distributions are considered based on experimental data. Different battery sizes and driving cycles are considered. Balancing circuit topology is taken into account by selecting a specific category of energy transfer: cell-to-heat, bypass, cell-to-pack, pack-to-cell, cell-to-cell shared, cell-to-cell distributed or cell-to-pack-to-cell. In general, better results in terms of energy losses, available capacity or temperature are obtained for the last three categories, even for moderate balancing currents. In particular, remarkable improvements are observed under conditions of high power demand with high variability, i.e., smaller battery sizes and more demanding driving cycles.

Original document

The different versions of the original document can be found in:

• http://xplorestaging.ieee.org/ielx7/5165391/7570347/07544629.pdf?arnumber=7544629,

http://dx.doi.org/10.1109/tste.2016.2600501

• https://ieeexplore.ieee.org/document/7544629,

https://ui.adsabs.harvard.edu/abs/2016ITSE....7.1703P/abstract,

https://vbn.aau.dk/en/publications/evaluation-of-advanced-control-for-li-ion-battery-balancing-syste,

http://ieeexplore.ieee.org/document/7544629,

https://academic.microsoft.com/#/detail/2514684317

• https://vbn.aau.dk/da/publications/0002d0fb-2514-4fc4-b705-b22773a00100,

https://doi.org/10.1109/TSTE.2016.2600501