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基于不确定度评定方法的动力电池数据模型可靠性量化分析方法的研究
引用本文:郑欢欢,周頔,郑文斌,张梅. 基于不确定度评定方法的动力电池数据模型可靠性量化分析方法的研究[J]. 汽车工程学报, 2021, 0(S1)
作者姓名:郑欢欢  周頔  郑文斌  张梅
摘    要:模型建立中可使用各种非线性模型对过程进行描述,如果模型能够描述模型预测值的不确定性,这一信息将是评价模型或者判断评估结果的重要工具。参考计量学领域中不确定度量化评定方法,将测量不确定度引申为模型不确定度,旨在研究基于不确定评定方法的动力电池数据模型可靠性量化评价方法,提出基于GUM 法的模型不确定度评估方法,不仅可以定量评价现有模型的可靠性,同时可以量化分析其影响不确定度分量,从而进一步提高其模型预测(估算)准确性。

关 键 词:数据模型  电池SOH  不确定度评定  量化评价

Research on Reliability Quantitative Analysis Method of Power Battery Data Model Based on Uncertainty Evaluation Method
ZHENG Huanhuan,ZHOU Di,ZHENG Wenbin,ZHANG Mei. Research on Reliability Quantitative Analysis Method of Power Battery Data Model Based on Uncertainty Evaluation Method[J]. , 2021, 0(S1)
Authors:ZHENG Huanhuan  ZHOU Di  ZHENG Wenbin  ZHANG Mei
Abstract:A variety of nonlinear models can be used to describe the process in model building. If themodel can describe the uncertainty of the predicted value of the model, this information will be an important tool to evaluate the model or judge the evaluation results. The paper reference metrology in the field of quantitative assessment method of uncertainty measurement uncertainty extended to model uncertainty, aims to study the power battery data model based on uncertainty evaluation method quantitative reliability evaluation method, putforward model of uncertainty evaluation method based on the method of GUM department, not only can quantitatively evaluate the reliability of the existing models, At the same time, the influence uncertainty component can be quantitatively analyzed, so as to further improve the accuracy of the model prediction (estimation).
Keywords:data model   battery SOH   uncertainty evaluation   quantitative evaluation
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