An Advanced Battery Management System for Lithium Ion Batteries

Abstract

This paper describes the development of a Battery Management System (BMS) State of Charge/Health (SOC/SOH) algorithm that was developed and proven for three different lithium ion based cell chemistries (nanophosphate, lithium manganese oxide, lithium iron phosphate). In addition, a universal BMS architecture based on this algorithm was developed that can support other chemistries, capacities, and formats. Algorithm performance was compared to actual data in the laboratory environment and also to data from a lithium iron phosphate hybrid electric vehicle pack that was integrated with an XM1124 hybrid electric HMMWV operating in a vehicle environment under realistic conditions. The system demonstrated accuracy within 5% in a software upgradeable, low cost package.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2011
Accession Number
ADA547419

Entities

People

  • Bruce Pilvelait
  • Carlos Rentel
  • Dave Carmen
  • Gregory L. Plett
  • Mike Marcel

Organizations

  • Creare, Inc.

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Algorithms
  • Bench Tests
  • Central Processing Units
  • Circuits
  • Cycles
  • Engineering
  • Ground Vehicles
  • Hybrid Electric Vehicles
  • Kalman Filters
  • Life Cycles
  • Lithium Ion Batteries
  • Monitoring
  • Standards
  • Systems Engineering
  • Vehicles

Readers

  • Battery Technology and Engineering
  • Robotics and Automation.
  • Software Engineering.