PORTABLE DEFIBRILLATOR FUZZY-LOGIC-BASED BATTERY METER

便携式除颤器的可靠运行主要取决于其电池的“状况”。这个条件是由它可以提供给负载的可用能量，以及这种能量可以提供的功率水平决定的。随着便携式除颤器的广泛应用，需要一种能够准确测量电池电量状态（SOC）和健康状态（SOH）的低成本设备，以确保消除因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强大方法，以确定电池SOC和SOH，这种方法既可靠又具有成本效益。用于确定电池SOC和SOH的传统测量方法，如电池电压、温度和阻抗，与SOC/SOH形成了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，可以轻松地对这种关系进行建模。在第一阶段，数据将收集在便携式除颤器中使用的代表性电池（铅酸）中，将使用模糊逻辑对其建模，以实现准确的soc/soh测定。原型SOC/SOH仪表将在第二阶段完成。建议的商业应用：电池管理设备的生产是全球250亿美元电池市场的一个新兴机会，其中便携式电源设备的年增长率为20%。传统的方法既繁琐又不通用。所提出的模糊逻辑方法具有很强的效率和适应性，适用于各种电池的化学性质和类型。

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.