Robust Battery Fuel Gauge Algorithm Development, Part 3: State of Charge Tracking

Abstract

In this paper, we present a novel SOC tracking algorithm for Li-ion batteries. The proposed approach employs a voltage drop model that avoid the need for modeling the hysteresis effect in the battery. Our proposed model results in a novel reduced order (single state) filtering for SOC tracking where no additional variables need to be tracked regardless of the level of complexity of the battery equivalent model. We identify the presence of correlated noise that has been so far ignored in the literature and use this for improved SOC tracking. The proposed approach performs within 1% or better SOC tracking accuracy based on both simulated as well as HIL evaluations.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 19, 2014
Accession Number
AD1019905

Entities

People

  • B. Balasingam
  • B. Pattipati
  • G. V. Avvari
  • Krishna R. Pattipati
  • Y. Bar-shalom

Organizations

  • University of Connecticut

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Circuits
  • Climate Change
  • Equations Of State
  • Equivalent Circuits
  • Filters
  • Filtration
  • First Order Circuits
  • Fuel Gages
  • Hysteresis
  • Identification
  • Kalman Filters
  • Lithium Ion Batteries
  • Mathematical Filters
  • Measurement
  • Mobile Application Software
  • Noise

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Battery Technology and Engineering
  • Robotics and Automation.