Energy storage battery SOC estimation method based on multi-rate strong tracking expansion
An energy storage battery and strong tracking technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of poor performance of the single-rate sampling system, lack of stability of the sampling system, and inability to analyze the system state, etc., to achieve Unified stability, improved system gain margin, and improved system performance
Inactive Publication Date: 2019-12-10
SHANGHAI YUYUAN POWER TECH CO LTD
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Problems solved by technology
[0002] With the increasingly complex dynamic changes of the monitored object and the continuous improvement of the requirements for the monitoring system, the single-rate sampling monitoring and control system cannot meet the requirements of more complex monitoring systems because of its single sampling frequency, and cannot use signals of different sampling rates. Analyze the state of the current system, so the gain margin of the system needs to be improved. In addition, the existing single sampling system does not have uniform stability, so decentralized control cannot be performed, which leads to poor performance of the single-rate sampling system
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Embodiment 1
[0105] Using 12 lithium iron phosphate battery packs for multiple rate strong tracking extended Kalman filter test, each battery has a rated voltage of 3.3V, a capacity of 50Ah, and a total output of 2kWh of energy. The battery pulse discharge test is used to show the dynamic characteristics of the battery, so as to obtain the parameters of the battery model.
[0106] After charging the cut-off voltage with a constant current charging value of 1 / 3C, continue charging with a constant current of 0.2C to the cut-off voltage, and finally charge with a constant current of 0.1C to the cut-off voltage. At this time, the battery is fully charged, that is, SOC=100%. Then select the sampling point of SOC. In view of the fact that the SOC is too small, the power released by the pulse discharge will increase the reduction effect on the SOC, resulting in a large deviation between the actual experimental value and the true value, so the two points of 5% and 95% are canceled. Finally Choose ...
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The invention discloses an energy storage battery SOC estimation method based on multi-rate strong tracking expansion. Firstly, an equivalent circuit model is established, cyclic intermittent chargingand discharging experiments with different charging and discharging rates are carried out on the power battery, the SOC value is estimated through the obtained battery model parameters and the multi-rate strong tracking extended Kalman filter, and then the SOC estimated value of the battery at each moment can be obtained through repeated staggered iteration. The beneficial effects of the invention are that: by adopting a multi-rate strong tracking extended Kalman filtering method, the gain margin of the system can be improved, so the system is advantaged by uniform stability and achievement of easy decentralized control; the multi-rate strong tracking extended Kalman filter not only has the advantages of a strong tracking extended Kalman filter algorithm, but also improves the system performance of single-rate sampling of the multi-rate strong tracking extended Kalman filter.
Description
technical field [0001] The invention relates to a method for estimating the SOC of an energy storage battery, in particular to a method for estimating the SOC of an energy storage battery based on a multi-rate strong tracking extended Kalman filter method, and belongs to the technical field of multi-rate sampling control systems. Background technique [0002] With the increasingly complex dynamic changes of the monitored object and the continuous improvement of the requirements for the monitoring system, the single-rate sampling monitoring and control system cannot meet the requirements of more complex monitoring systems because of its single sampling frequency, and cannot pass signals of different sampling rates. The current state of the system is analyzed, so the gain margin of the system needs to be improved. In addition, the existing single sampling system does not have uniform stability, so decentralized control cannot be performed, which leads to poor performance of the...
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IPC IPC(8): G01R31/388G01R31/367G01R31/389
CPCG01R31/367G01R31/388G01R31/389
Inventor 尚德华贾葳
Owner SHANGHAI YUYUAN POWER TECH CO LTD