基于模拟退火算法的锂电池模型参数辨识*

doi:10.19562/j.chinasae.qcgc.2018.012.007

Abstract

Abstract: In order to set up an accurate battery model for precisely estimating its state of charge (SOC), the charge and discharge characteristics of lithium battery under different currents and SOCs are obtained by test, and the parameters R and C of battery under the same conditions are identified in this paper. In view of the features of parameter identification, i.e. unknown initial values, massive data processing and being prone to fall into local optimum, simulated annealing algorithm, which can rapidly converged to the global optimum without initial parameters, is adopted to identify the parameters R and C of battery. Simulation and test results show that the battery model established by the above method has relatively high accuracy.

Key words: electric vehicle, battery management system, parameter identification, simulated annealing algorithm

Luo Yong, Qi Pengwei, Kan Yingzhe, Li Peiran, Liu Li, Cui Huanyu. Parameter Identification of Lithium Battery Model Based on Simulated Annealing Algorithm[J]., 2018, 40(12): 1418-1425.

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Parameter Identification of Lithium Battery Model Based on Simulated Annealing Algorithm

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