Advanced Models and Controls for Prediction and Extension of Battery Lifetime (Presentation): NREL (National Renewable Energy Laboratory)

Kandler Smith, Eric Wood, Shriram Santhanagopalan, Gi-Heon Kim, Ahmad Pesaran, Gi-Heon Kim

Research output: NRELPresentation

Abstract

Predictive models of capacity and power fade must consider a multiplicity of degradation modes experienced by Li-ion batteries in the automotive environment. Lacking accurate models and tests, lifetime uncertainty must presently be absorbed by overdesign and excess warranty costs. To reduce these costs and extend life, degradation models are under development that predict lifetime more accurately and with less test data. The lifetime models provide engineering feedback for cell, pack and system designs and are being incorporated into real-time control strategies.
Original languageAmerican English
Number of pages25
StatePublished - 2014

Publication series

NamePresented at the 2014 Large Lithium Ion Battery Technology & Application Symposia Advanced Automotive Battery Conference, 4 - 6 February 2014, Atlanta, Georgia

NREL Publication Number

  • NREL/PR-5400-61037

Keywords

  • control
  • electric vehicles
  • lifetime
  • lithium ion battery
  • modeling

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