The invention relates to a cloud power battery health degree evaluation system and method. The system comprises a data acquisition device, a cloud data platform, a data preprocessing device and a power battery health evaluation system. The data acquisition device is connected with a power battery of a running new energy automobile; the cloud data platform is connected with the data acquisition device; the data preprocessing device is connected with the cloud data platform; the power battery health evaluation system is connected with the data preprocessing device; and the power battery health evaluation system is used for carrying out feature extraction on the preprocessed real-time data, determining a battery health degree based on a machine learning algorithm according to the extracted features and corresponding features in a feature standard database, and outputting a battery health evaluation result according to the battery health degree. According to the invention, low-cost, real-time, online and accurate evaluation of the health state of the power battery is realized.
本发明涉及一种云端动力电池健康度评估系统及方法。该系统包括数据采集装置、云端数据平台、数据预处理装置以及动力电池健康评估系统;所述数据采集装置与运行的新能源汽车的动力电池连接;所述云端数据平台与所述数据采集装置连接;所述数据预处理装置与所述云端数据平台连接;所述动力电池健康评估系统与所述数据预处理装置连接;所述动力电池健康评估系统用于将预处理后的实时的数据进行特征提取,并根据提取后的特征与特征标准数据库中相对应的特征,基于机器学习算法确定电池健康度,并根据所述电池健康度输出电池健康评估结果。本发明实现对动力电池健康状态的低成本、实时在线、准确地评估。
Cloud power battery health degree evaluation system and method
一种云端动力电池健康度评估系统及方法
2021-03-02
Patent
Elektronische Ressource
Chinesisch
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