Battery performance detection and evaluation method in used car transaction process based on phm

By using an improved SegRNN network and a logarithmic degradation fitting method, the problem of data correlation of power batteries in used car transactions was solved. This enabled accurate identification of battery degradation characteristics and stable modeling of health status, improving the accuracy and reliability of battery performance evaluation and providing quantitative evaluation results to support transaction decisions.

CN122410312APending Publication Date: 2026-07-17

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Filing Date
2026-04-21
Publication Date
2026-07-17

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Abstract

本发明公开了基于PHM的二手车交易过程中电池性能检测与评估方法,包括步骤一:获取目标二手车动力电池的原始检测数据;步骤二:对原始检测数据执行退化状态重组处理;步骤三:通过滑动时间窗口截取与退化响应统计提取退化特征;步骤四:通过改进型SegRNN网络执行电池健康状态建模;步骤五:通过对数退化拟合和曲率极值进行剩余寿命预测和性能衰减趋势评估;步骤六:计算电池综合评估值,并确定电池评估等级;步骤七:输出目标二手车动力电池的性能检测与评估报告。本发明通过改进型SegRNN网络与对数退化拟合,提升了二手车交易过程中电池性能检测的准确性与评估的可靠性。
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