一种新能源汽车动力电池性能检测方法及系统
By collecting multi-dimensional parameters and calculating comprehensive models, combined with a fault edge early warning platform, the problem of insufficient accuracy and delayed reporting in existing battery performance testing technologies has been solved. This enables accurate evaluation of battery performance and fault early warning, ensuring the safe and reliable use of new energy vehicles.
CN121831573BActive Publication Date: 2026-07-17XIHUA UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIHUA UNIV
- Filing Date
- 2026-03-16
- Publication Date
- 2026-07-17
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Figure CN121831573B_ABST
Abstract
本发明公开了一种新能源汽车动力电池性能检测方法及系统，包括：获取电池单体电压、温度、充放电电流等多维度参数，经筛选后传输至动力电池故障边缘预警平台；基于参数构建多因子融合模型计算剩余电量状态，采用双曲正切模型计算容量衰减，通过极限梯度提升分类算法划分性能等级，最终整合结果生成检测报告。系统包括参数多维度采集、筛选传输、剩余电量估算、容量衰减计算、性能分类及报告生成反馈单元，各单元与预警平台协同联动。本发明通过多参数融合与专业模型结合提升检测精度，通过系统单元协同与平台整合加快结果输出，可精准评估电池性能，为维护提供及时依据，保障电池稳定运行及车辆安全。
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