Battery Management System Based on Virtual Instrument

Abstract:

A battery management system (BMS) is described along with important features for protecting and optimizing the performance of large 18650 lithium power battery packs. Of particular interest is the selection of many cells, that is, according to the system needs to choose healthy cells into the system to run. In order to shorten the cycle of research, the paper proposed a BMS based on virtual instrument (VI) data acquisition system. It can monitor parameters such as monomer voltage, total voltage, current, temperature, estimating state of charge (SOC) etc, and it also can control switch when a parameter exceeds the allowed range, the corresponding monomer cell will be automatically cut off the switch and alarm. Experimental results are included for a pack of seven 2.2 Ah (amp-hour) 18650 lithium power cells. It can monitor the status of the lithium-ion battery pack according to the security metrics of 18650 power lithium cells. It can control other types of power batteries by means of modified index.

• Periodical: Advanced Materials Research (Volume 772)
• Pages: 725-730
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.772.725
• Online since: September 2013
• Authors: Xu Jun Li, Da Liu, Rui Yan, Yue Qiu Gong, Yong Pan
• Keywords: Battery Management System, Data Acquisition, Li-Ion Battery, State of Charge (SOC), Virtual Instrument (VI)

References

[1] Ue R, Li R, Dhingra A. Equalization integrated online monitoring of health map and worthiness of replacement for battery pack of electric vehicles [J], Journal of Power Sources 223 (2013), 293-305.

DOI: 10.1016/j.jpowsour.2012.09.083

[2] Chern T. L., Pan P. L. The research of smart Li-ion battery management system, Second IEEE Conference on Industrial Electronics and Applications, pp.2273-2277, May (2007).

DOI: 10.1109/iciea.2007.4318816

[3] Lu L, Han X, Li J, Hua J. et al. A review on the key issues for lithium-ion battery management in EV . [J]. Journal of Power Sources 226 (2013), 272-288.

DOI: 10.1016/j.jpowsour.2012.10.060

[4] Lee S, Kim J, Lee J, et al. 2008. State-of-charge and capacity estimation of Lithium-ion battery using a new open-circuit voltage versus state-of-charge[J]. Journal of Power Sources, 185(2008): 1367-1373.

DOI: 10.1016/j.jpowsour.2008.08.103

[5] Zhang Y, Zhou B. Modeling and control of a portable proton exchange membrane fuel cell battery power system [J]. Journal of Power Sources, 196 (2011), 8413-8423.

DOI: 10.1016/j.jpowsour.2011.05.022