The invention is suitable for the field of electric vehicle batteries, and provides an electric vehicle battery remote monitoring system based on cloud computing, which comprises a data acquisition module, a data processing module, a data analysis module and an optimization suggestion module. The system is provided. And a prediction model is established through the data analysis module, and prediction modeling is performed on the service life and the health state of the automobile battery based on data in the historical database. The prediction model can accurately predict the service life and the health state of the battery according to historical data and real-time data, so that a user is helped to take maintenance measures in time, and the service life of the battery is prolonged. And a user can be helped to know the health state and the abnormal condition of the battery and take corresponding measures, so that the service life and the performance of the battery are improved. And through the data display unit and the optimization suggestion module, the abnormal judgment result and the maintenance strategy are visually displayed, so that the user can more intuitively understand and apply the optimization suggestion.
本发明适用于电动汽车电池领域,提供了基于云计算的电动汽车电池远程监控系统,所述系统包括:数据采集模块、数据处理模块、数据分析模块、优化建议模块。该系统。通过数据分析模块建立预测模型,并基于历史数据库中的数据对汽车电池的寿命和健康状态进行预测建模。预测模型能够根据历史数据和实时数据,对电池的寿命和健康状态进行准确的预测,帮助用户及时采取维护措施,延长电池的使用寿命。且能够帮助用户了解电池的健康状态和异常情况,采取相应的措施,提升电池的寿命和性能。通过数据展示单元,优化建议模块将异常判定结果和维护策略进行可视化展示,使用户能够更加直观地理解和应用优化建议。
Electric vehicle battery remote monitoring system based on cloud computing
基于云计算的电动汽车电池远程监控系统
2024-01-26
Patent
Elektronische Ressource
Chinesisch
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