重庆理工大学学报2026，Vol.40Issue(15)：74-86,13.DOI:10.3969/j.issn.1674-8425(z).2026.08.009
融合电压特征与一致性评分的动力电池热失控预警研究
Research on early warning of thermal runaway in traction batteries by integrating voltage characteristics and consistency scores
摘要
Abstract
As a core energy unit of electric vehicles,the traction battery directly determines vehicles' reliable operation.To quickly identify thermal runaway risks in traction batteries,this paper proposes a multi-dimensional early-warning assessment method that integrates multi-dimensional voltage outlier features with a consistency scoring framework based on vehicle driving segments.First,two types of voltage anomaly indicators,namely the vertical outlier average and the rate outlier index,were introduced.Then,they were integrated with voltage,temperature,and internal resistance to build a battery pack consistency scoring framework based on the integration of subjective and objective weighting.Next,a set of multi-level early-warning conditions was designed to enable rapid localization and risk confirmation of abnormal cells.Finally,real-vehicle operational data were used to validate the effectiveness of the proposed method,and a comparative analysis with the sample entropy-based warning method was conducted.Results demonstrate the proposed method achieves higher accuracy and computational efficiency in early warnings.关键词
动力电池/热失控预警/电压离群特征/不一致性/预警评估条件Key words
traction battery/thermal runaway warning/voltage outlier characteristics/inconsistency/early warning assessment conditions分类
交通工程引用本文复制引用
杨继斌,周号岚,戴锋,邓鹏毅,武小花,徐晓惠..融合电压特征与一致性评分的动力电池热失控预警研究[J].重庆理工大学学报,2026,40(15):74-86,13.基金项目
四川省科技计划项目(2025ZNSFSC0427,2024ZDZX0035) （2025ZNSFSC0427,2024ZDZX0035）
欧阳明高院士工作站青年人才发展基金项目 （）
四川省宜宾市产教融合项目(YBXHU-20240001) （YBXHU-20240001）
西华大学教改项目(xcjz2025014) （xcjz2025014）
