PORTABLE DEFIBRILLATOR FUZZY-LOGIC-BASED BATTERY METER

Information

  • Research Project
  • 6134190
  • ApplicationId
    6134190
  • Core Project Number
    R41HL064984
  • Full Project Number
    1R41HL064984-01
  • Serial Number
    64984
  • FOA Number
  • Sub Project Id
  • Project Start Date
    6/5/2000 - 24 years ago
  • Project End Date
    6/4/2001 - 23 years ago
  • Program Officer Name
  • Budget Start Date
    6/5/2000 - 24 years ago
  • Budget End Date
    6/4/2001 - 23 years ago
  • Fiscal Year
    2000
  • Support Year
    1
  • Suffix
  • Award Notice Date
    6/4/2000 - 24 years ago
Organizations

PORTABLE DEFIBRILLATOR FUZZY-LOGIC-BASED BATTERY METER

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.

IC Name
NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
  • Activity
    R41
  • Administering IC
    HL
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    100000
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    837
  • Ed Inst. Type
  • Funding ICs
    NHLBI:100000\
  • Funding Mechanism
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    US NANOCORP, INC.
  • Organization Department
  • Organization DUNS
    003612603
  • Organization City
    FARMINGTON
  • Organization State
    CT
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    06032
  • Organization District
    UNITED STATES