首页> 外文会议>Meeting of the Society for Machinery Failure Prevention Technology >CONDITION MONITORING FOR LIFE EXTENSION OF FAST, HIGH DENSITY BATTERY CHARGING
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CONDITION MONITORING FOR LIFE EXTENSION OF FAST, HIGH DENSITY BATTERY CHARGING

机译:快速,高密度电池充电寿命延伸的情况监测

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Fast, high density battery charging has become an important issue due to recent advances in technology, such as the Electric Vehicle (EV). Batteries that were once charged in a few hours are now being charged in a matter of minutes. Without proper control, these vigorous charge regimes can substantially shorten the life of the battery. A number of techniques, such as pulse charging, have been explored to limit aging that occurs during the gassing phase of the charge. In many cases, the pulse used is varied depending on the battery's State-of-Charge (SOC). Determination of SOC is therefore very important to the success of the pulse charging routine. By identifying the gassing point and SOC of the cell, charge conditions can be adjusted so that the maximum amount of energy can be returned to the battery before premature aging begins. This can be accomplished by monitoring the conditions of the cell as charging progresses. Condition monitoring in batteries has traditionally been limited to external signals, such as voltage, current, and temperature. However, monitoring physically related signals, such as cell impedance, provides a better assessment of the condition and health of the battery, and therefore provides a better means for controlling charging. This paper will focus on applying developed model-based diagnostics for assessment of SOC and State-of-Health (SOH) to improve fast charging performance of secondary batteries.
机译:快速,高密度电池充电已成为技术近期技术的重要问题,例如电动汽车(EV)。在几个小时内收取的电池即可在几分钟内收取。如果没有适当的控制,这些剧烈的充电制度可以大大缩短电池的寿命。已经探讨了许多技术,例如脉冲充电,以限制在电荷的气相相位期间发生的老化。在许多情况下,使用的脉冲根据电池的充电状态(SOC)而变化。因此,SOC的确定对于脉冲充电程序的成功非常重要。通过识别电池的气体点和SOC,可以调节充电条件,以便在早熟开始之前可以将最大能量量返回到电池。这可以通过监视电池的条件作为充电进展来实现。电池状态监测传统上,传统上仅限于外部信号,例如电压,电流和温度。然而,监测物理相关信号,例如细胞阻抗,提供了对电池的状态和健康的更好评估,因此提供了更好的控制充电方式。本文将重点关注应用基于模型的诊断,以评估SOC和健康状态(SOH),以提高二次电池的快速充电性能。

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