The invention provides a battery health state real-time monitoring and intelligent management method and system, and the method comprises the following steps: obtaining the historical operation data of a battery, and monitoring the obtained real-time data of the battery; predicting and acquiring the health state of the battery based on the monitored and acquired real-time data of the battery; monitoring and diagnosing potential faults and abnormal states of the battery system in real time according to the predicted health state of the battery; and executing an intelligent management strategy on the battery system based on the potential fault and the abnormal state of the battery system obtained by real-time monitoring and diagnosis. Accurate estimation of the health condition of the battery is beneficial to optimization of charging and discharging strategies, the service life of the battery is prolonged, emission caused by battery processing is reduced, and therefore reliable technical support is provided for energy conservation and emission reduction and application and popularization of new energy automobiles.

    本申请提供的电池健康状态实时监测和智能管理方法及系统,方法包括以下步骤:获取电池的历史运行数据,并监测获取的电池实时数据;基于监测获取的电池实时数据,预测获取电池健康状态;根据预测获取的电池健康状态,实时监测和诊断电池系统的潜在故障和异常状态;基于实时监测诊断获取的电池系统的潜在故障和异常状态,对电池系统执行智能管理策略。本申请对电池健康状况的准确估计有利于充电和放电策略的优化,延长电池的使用寿命,减少处理电池带来的排放,从而为节能减排和新能源汽车推广应用提供了可靠的技术支持。


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    Title :

    Battery health state real-time monitoring and intelligent management method and system


    Additional title:

    电池健康状态实时监测和智能管理方法及系统


    Contributors:
    LEE HEE-SUNG (author) / HUANG KAIYU (author)

    Publication date :

    2024-10-29


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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