首页> 外文会议>Society for Machinery Failure Prevention Technology Meeting; 20050418-21; Virginia Beach,VA(US) >IMPLEMENTATION OF A BATTERY PROGNOSTICS SYSTEM FOR THE USMC EXPEDITIONARY FIGHTING VEHICLE
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IMPLEMENTATION OF A BATTERY PROGNOSTICS SYSTEM FOR THE USMC EXPEDITIONARY FIGHTING VEHICLE

机译:USMC远征战车电池预充电系统的实现

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A Battery Prognostics System (BPS) that is capable of accurately assessing the state-of-charge (SOC) and state-of-health (SOH) of lead acid starting-lighting-ignition (SLI) batteries can provide significant operational and logistical benefits when implemented onboard ground combat vehicles. In this paper, the design of a BPS for the USMC Expeditionary Fighting Vehicle (EFV) will be presented. The prognostics hardware utilizes proprietary current sensing circuitry to measure the wide-band impedance of the vehicle batteries in situ. Impedance spectroscopy provides a methodology for assessing the condition of the battery being monitored by comparing the wide-band impedance characteristics to a priori developed electrochemical models. This approach a llows for the early identification of potential failure m echanisms and hence determination of the remaining useful life of the battery (i.e., state-of-life), a critical step for prognostics. The focus of this paper will be on the design and implementation of the BPS. Critical design elements will be presented along with performance results from initial system testing, and an analysis of the potential benefits that may be accrued from an operational system.
机译:能够准确评估铅酸点火点燃(SLI)电池的充电状态(SOC)和健康状态(SOH)的电池预测系统(BPS)可以提供重大的运营和后勤优势在地面战车上使用时在本文中,将介绍USMC远征战车(EFV)的BPS设计。预测硬件利用专有的电流感应电路来原位测量车辆电池的宽带阻抗。阻抗光谱学提供了一种方法,可通过将宽带阻抗特性与先验开发的电化学模型进行比较来评估被监视电池的状况。这种方法有助于及早识别潜在的故障机理,从而确定电池的剩余使用寿命(即寿命状态),这是进行预测的关键步骤。本文的重点将放在BPS的设计和实现上。将介绍关键的设计元素以及初始系统测试的性能结果,并分析可能从操作系统中获得的潜在收益。

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