Portable Defibrillator Fuzzy-Logic-Based Battery Meter

描述（由申请人提供）：便携式除颤器的可靠运行关键取决于其电池的“状况”。该条件由可用能量以及在什么功率水平下该能量可以被递送到负载来确定。随着便携式除颤器的广泛部署，需要一种能够准确测量这些设备中使用的电池的充电状态（SOC）和健康状态（SOH）的低成本设备，以确保消除由于电池故障而错过的除颤尝试。 美国纳米公司和维拉诺瓦大学正在合作开发一种基于模糊逻辑的创新、强大的方法，以确定可靠、准确和经济的电池SOC和SOH。用于确定电池SOC和SOH的传统测量（诸如电池电压、温度和阻抗）与SOC/SOH形成高度复杂的非线性关系。模糊逻辑方法提供了一种相对简单但功能强大的方法，可以轻松地对这种关系进行建模。第一阶段的项目证明了这种方法的可行性，估计的铅酸蓄电池组中使用的便携式散热器的SOH。在第二阶段项目中，模糊逻辑方法将用于开发一种低成本设备，该设备可用于下一代便携式发电机的锂离子电池组。 拟定商业应用：电池管理设备的生产是全球250亿美元电池市场中的一个新兴机会，其中便携式电源设备的年增长率一直在以20%的速度增长。 传统的方法是繁琐和非通用的。 所提出的模糊逻辑方法是非常强大的，在其效率和适应性，以各种各样的电池化学和类型。

DESCRIPTION (provided by applicant):Reliable operation of a portable defibrillator depends critically on the "condition" of its battery. This condition is determined by available energy and at what power level this energy can be delivered to a load. With the initiative towards widespread deployment of portable defibrillators, a low-cost device capable of accurately measuring both state-of-charge (SOC) and state-of-health (SOH) of batteries used in these devices is necessary to ensure that missed defibrillation attempts due to battery failure are eliminated. US Nanocorp and Villanova University are collaborating in the pioneering development of an innovative, powerful approach, based on fuzzy logic, to battery SOC and SOH determination that is reliable, accurate, and economical. Traditional measures used to determine battery SOC and SOH such as battery voltage, temperature and impedance form a highly complex, nonlinear relationship with SOC/SOH. The fuzzy logic approach offers a relatively simple yet powerful method to easily model such a relationship. The Phase I project proved feasibility of this approach for estimating SOH of lead acid battery packs used in portable defibrillators. In the Phase II project, the fuzzy logic approach will be used to develop a low-cost device that can be incorporated into Li-ion battery packs for next generation portable defibrillators. PROPOSED COMMERCIAL APPLICATION: Production of battery management equipment is an emerging opportunity in a world-wide battery market of $25B, where growth in portable power devices has been increasing at a 20% annual rate. Traditional methods are cumbersome and nongeneric. The proposed fuzzy logic method is very powerful in its efficiency and adaptability to a wide variety of battery chemistries and types.