SOC estimation of UAV lithium battery based on IGWO-PF algorithm

doi:10.19799/j.cnki.2095-4239.2021.0489

Abstract

Abstract:

The discharge current of the UAV's lithium battery will change greatly under the complex flight attitude of the UAV, making it difficult to accurately estimate the remaining power and other state parameters of the UAV. In response to this problem, this paper proposes an improved gray wolf algorithm (IGWO) optimized particle filter (PF) algorithm, which estimates the SOC through the distribution of particles. Particles are characterized using gray wolves in this method. By setting the wolf pack location update mechanism, the particles are continuously approaching the true posterior probability distribution, thereby accurately estimating the remaining power of the UAV lithium battery. First, the complexity and accuracy are comprehensively considered. The second-order Thevenin equivalent circuit constructs the lithium-ion battery model, calculates the observation equation and the state equation, and then completes the parameter identification online by the least square method based on the forgetting factor, and then uses the gray wolf algorithm that introduces the Levi flight strategy to optimize the PF algorithm. Estimate the drone's remaining power. Finally, simulate and verify the IGWO-PF algorithm, the PF algorithm, and the UKF algorithms using MATLAB. The results show that the IGWO-PF algorithm can converge well to the actual value in the SOC estimation result and is more accurate and stable for the SOC estimation error within 1% than the traditional algorithm error. This research can more accurately estimate the remaining power of the drone during the flight.

Key words: parameter identification, remaining battery analysis, grey wolf algorithm, particle filter

CLC Number:

TM 912

Jianhua YUAN, Yaping LIU, Ziwei ZHAO, Yu LIU, Binbin XIE, Baolin HE. SOC estimation of UAV lithium battery based on IGWO-PF algorithm[J]. Energy Storage Science and Technology, 2022, 11(5): 1601-1607.

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SOC	电压/V	SOC	电压/V
1	4.1002	0.5	3.6628
0.9	4.0785	0.4	3.6891
0.8	3.9890	0.3	3.5967
0.7	3.8612	0.2	3.5701
0.6	3.7790	0.1	3.5010

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