[author_cn_name].[cn_title][J].空军工程大学学报:自然科学版,[year_id],[volume]([issue]):[start_page]-[end_page] 基于置信规则库的锂电池SOC估计-SOC Estimation of Lithium Battery Based on Belief Rule Base
SOC Estimation of Lithium Battery Based on Belief Rule Base
中文关键词: 锂电池  电池荷电状态估计  置信规则库
英文关键词: Lithium battery  SOC estimation  belief rule base
吕延卓,肖明清,唐希浪,李剑峰,刘强,王联科 1.空军工程大学研究生院,西安,7100512.空军工程大学航空工程学院,西安,710038 
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      The accurate estimation of the state of charge (SOC) of a battery is increasingly important in the context of the wide application of batteries. However,it is difficult to build accurate physical models,and the use of pure data driven methods is prone to overfitting problems due to individual differences of batteries. To solve these problems,propose a method based on belief rule base (BRB) to estimate SOC of lithium battery. This method allows experts to overcome the overfitting problem of data driven methods through empirical knowledge and the inaccuracy of expert knowledge through parameter training. A lithium iron phosphate (LiFePO-4) battery is taken as an example to verify the proposed method,and the results are compared with those of the neural network. The results show that this method has high accuracy in SOC estimation,the estimated error is not more than 10%,and can overcome the overfitting problem of traditional neural network methods.
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