Master of Science in Electrical Engineering (MSEE)
Electrical and Computer Engineering
First Committee Member
Yahia Baghzouz, Chair
Second Committee Member
Third Committee Member
Graduate Faculty Representative
Number of Pages
Energy storage technologies are becoming of great importance in many modern electrical systems. In particular, electrochemical batteries are rapidly gaining wide-spread application in transportation systems as well as in the electric utility sector, where they provide a means to convert non-dispatchable renewable resources into dispatchable generation sources. Hence, accurate battery models are needed during the design stage of such systems to forecast future performance.
A variety of models with a varying degree of complexity and accuracy currently exist that predict battery behavior. In the proposed paper, an existing battery model is modified to account for some battery irregularities while maintaining simplicity is proposed to represent a sealed AGM battery. The model consists of controlled sources, resistors, and capacitors. The nonlinear relationship between the State of Charge (SOC) and the open circuit voltage (VOC) of the battery is accounted for. The values of the circuit parameters are derived using the curves provided in the manufacturer's data sheet as well as some simple laboratory tests on a 12 V, 89 Ah battery.
A comparison between the measured and simulated (using Matlab/Simulink) responses to various charge/discharge cycles shows a comfortable degree of accuracy of the proposed battery model.
Applied sciences; Battery charge; Lead acid batteries; Steady-state performance
Electrical and Computer Engineering | Electrical and Electronics | Power and Energy
Peng, Wenxin, "Accurate circuit model for predicting the performance of lead-acid AGM batteries" (2011). UNLV Theses, Dissertations, Professional Papers, and Capstones. 1244.