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The state-of-charge(SOC) of lithium-ion battery is an important parameter for the operation and maintenance of a battery management system(BMS), and its accurate estimation is related to the real-time monitoring and safety control of lithium-ion battery. The traditional unscented Kalman filter(UKF) algorithm has the risk of making the covariance matrix negative when estimating the SOC of lithium battery, and the estimation accuracy is not optimal. To solve the shortcomings of this algorithm, a ternary lithium-ion battery is taken as the research object, and a second-order RC equivalent circuit model is established to describe the working characteristics of the battery. Based on the traditional UKF algorithm, a square-root double unscented Kalman filter(SR-DUKF) algorithm with double unscented transformation is proposed, and it is verified under multiple working conditions. Experimental results show that the improved SR-DUKF algorithm can better estimate the SOC of lithium-ion battery based on the second-order RC equivalent circuit. The average errors under HPPC and BBDST conditions are 0.59% and 0.52%, respectively, and the convergence times are 60 s and 110s, respectively, which verifies that the improved SR-DUKF algorithm has a higher estimation accuracy, better convergence and better robustness.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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