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In this paper, an innovative modeling approach for Li-ion battery packs is proposed by considering intrinsic cell unbalances and packaging elements. The proposed modeling method shows that the accurate battery pack model can be achieved if the overall influences of intrinsic cell unbalances and packaging elements are taken account. Concurrently, the proposed method takes a practical model structure, resulting in the reduction of computational burden in a battery management system. Furthermore, because the proposed method utilizes cell information without a manufactured battery pack, it can be helpful to design optimal battery packs. The proposed method is verified through simulation and experimental results of the Li-ion battery pack along with the battery cycler. In three test profiles, the mean absolute percentage errors and root mean square errors of the proposed pack model do not exceed 0.5% and 0.07 V, respectively.

This paper illustrates regenerative battery charging control method of the permanent magnet synchronous motor (PMSM) drive without DC/DC converter. Conventional control methods for battery current and voltage control methods generally use a bidirectional DC/DC converter for regenerative control. The reason to use this DC/DC converter is the DC-Link current ripple of the inverter of is affected by switching of the inverter and the motor speed. This problem causes to use a low pass filter (LPF) for sensing the DC-link current, however, it occurs deteriorating the control performance. In this paper, battery current and voltage control methods using only the motor drive are illustrated. To control the DC-link current, power control is performed using the look-up table (LUT) data that are extracted from the experiment. In addition, an applicable method for the variable DC-link voltage of the proposed regenerative control method is illustrated.

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