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In order to solve the problem of State Of Charge (SOC) estimation error and ill-conditioned covariance in the iteration process caused by nonlinear transformation ignoring the high-order Taylor term in Extended Kalman Filter (EKF) algorithm, a Modified Covariance Approximate Second-Order Extended Kalman Filter (MVASOEKF) algorithm was adopted. Through the hybrid pulse power characteristic experiment, the internal parameters of the equivalent model were identified offline and the second-order RC equivalent battery model was established. The SOC was estimated on MATLAB/Simulink platform. The results show that the average absolute error value of EKF algorithm is about 2.0%, and the average absolute error value of MVASOEKF algorithm is about 0.5%. Compared with EKF algorithm, although MVASOEKF algorithm has more computation amount, but the SOC estimation accuracy has been significantly improved, and the convergence is better.
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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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