Research on battery inconsistency evaluation based on improved local outlier factor and fuzzy matrix

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS
Jichao Hong , Kerui Li , Fengwei Liang , Haixu Yang , Yankai Hou , Fei Ma , Facheng Wang , Xinyang Zhang , Huaqin Zhang , Chi Zhang
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引用次数: 0

Abstract

Inconsistency between cells can seriously damage the overall performance of the battery pack and even cause safety accidents. An inconsistency evaluation model oriented to real-world vehicles is necessary owing to the contribution to battery management and maintenance. This paper proposes a comprehensive inconsistency evaluation strategy based on improved local outlier factor (ImLOF) algorithm and fuzzy matrix. Battery cell voltage is used as the basis for evaluation, and the abnormal rate distribution of each cell is analyzed by the established cell anomaly detection model. Each cell is set as an evaluation indicator to assess the state of inconsistency of the whole battery pack based on a fuzzy matrix and evaluation factor. The evaluation strategy is validated by full life cycle data from a real-world vehicle, and the results show that the proposed method can be effectively applied to evaluate the inconsistency of battery packs in real vehicles.
基于改进的局部离群因子和模糊矩阵的电池不一致性评估研究
电池之间的不一致性会严重损害电池组的整体性能,甚至引发安全事故。考虑到不一致性对电池管理和维护的贡献,有必要建立一个面向实际车辆的不一致性评估模型。本文提出了一种基于改进的局部离群因子(ImLOF)算法和模糊矩阵的综合不一致性评估策略。以电池单体电压为评估基础,通过建立的电池单体异常检测模型分析每个电池单体的异常率分布。基于模糊矩阵和评价因子,将每个电池单元设置为评价指标,以评估整个电池组的不一致性状态。评估策略通过实际车辆的全生命周期数据进行了验证,结果表明所提出的方法可以有效地应用于评估实际车辆中电池组的不一致性。
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来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
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