PORTABLE DEFIBRILLATOR FUZZY-LOGIC-BASED BATTERY METER

便携式除颤器的可靠操作关键取决于其电池的“状况”。该条件由其可以输送到负载的可用能量以及可以输送该能量的功率水平来确定。随着便携式除颤器的广泛部署，需要能够准确测量其电池的充电状态（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。US Nanocorp和Villanova正在合作开发一种基于模糊逻辑的创新的强大方法，以确定可靠且具有成本效益的电池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的方法，可以很容易地对这种关系进行建模。 在第一阶段，将收集便携式充电器中使用的代表性电池（铅酸）的数据，并使用模糊逻辑对其进行建模，以实现准确的充电/soh确定。 SOC/SOH测量仪原型将在第二阶段完成。拟议的商业应用：电池管理设备的生产在全球250 B美元的电池市场中是一个新兴的机会，其中便携式功率设备的增长正以每年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。

The reliable operation of a portable defibrillator depends critically on the "condition" of its battery. This condition is determined by the available energy that it can deliver to a load, and at what power level this energy can be delivered. With the initiative towards widespread deployment of portable defibrillators, a low-cost device capable of accurately measuring both the State-of-Charge (SOC) and State-of-Health (SOH) of its battery is necessary to ensure that missed defibrillation attempts due to battery failure are eliminated. US Nanocorp and Villanova are collaborating in the pioneering development of an innovative powerful approach, based on fuzzy logic, to battery SOC and SOH determination that is both reliable and cost effective. 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 method that can model such a relationship with ease. In Phase I, data will be collected in representative batteries (lead acid) used in portable defibrillators, which will be modeled using fuzzy logic to enable accurate soc/soh determination. A prototype SOC/SOH meter will be completed in Phase II. PROPOSED COMMERCIAL APPLICATIONS: Production of battery management equipment is an emerging opportunity in a world wide battery market of $25 B, where growth in portable power devices is 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.