Abstract：State estimate for battery in photovoltaic power generation system is an important basis that determines whether the power is supplied only for local load or uploading to the grid. In order to overcome the puzzles of being low in accuracy, slow in track speed, easy to accumulating error and divergence, the paper proposed a sort of state estimation method based on the improved Sigma-point Kalman filter. Based on principle of the Sigma-point Kalman filter, it introduced diminishing factor to fade the non-current filtering value, and modifying the current filtering value in filtering process for keeping filtering real-time. The simulation comparative experiments showed that the method would be higher in estimate accuracy, faster in track speed, more stable in waveform, and the relative errors of maximum estimation in SOC and open-circuit voltage would be respectively 3.256% and 4.610%. Simulation researches show that the proposed state estimate method is reasonable and feasible.
翁珏. 光伏发电系统中一种蓄电池状态估计的新方法[J]. 电气技术, 2015, 16(06): 67-72.
Weng Jue. The Sort of Novel Method of State Estimate for Battery in Photovoltaic Power Generation System. Electrical Engineering, 2015, 16(06): 67-72.
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2015, Vol. 16 
