An SOE estimation model considering electrothermal effect for LiFePO4/C battery

Shili Lin, Wenji Song, Jie Lv, Ziping Feng, Yanhui Zhang, Yongliang Li

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

The state of energy (SOE) is an important performance parameter and evaluation index for LiFePO4/C battery since the available energy can be known more intuitively through SOE compared with state of charge (SOC). First, in order to improve the estimation accuracy of SOE, a novel estimation model combining electrical energy and thermal energy is put forward by studying the effects of discharge rate to the change laws of all kinds of energy inside the battery cell. Moreover, the concepts of unavailable energy Eu, maximum allowable energy E, and discharge energy efficiency η are originally proposed based on the analysis of energy consumption. Second, the parameter of actual maximum energy and energy consumption revised by the case of LiFePO4/C battery can give an example to show the specific steps for improving the estimation accuracy of SOE during any integration time by using the novel SOE estimation model. Lastly, 2 international standard test experiments of EV are conducted to show the correction of SOC can efficiently limit the error below 4.6% and also indicate the novel SOE estimation method suitable for application area.

Original languageEnglish
Pages (from-to)2413-2420
Number of pages8
JournalInternational Journal of Energy Research
Volume41
Issue number14
Early online date17 Jul 2017
DOIs
Publication statusPublished - 1 Nov 2017

Keywords

  • electrothermal effect
  • experimental verification
  • LiFePO/C battery
  • SOE

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Nuclear Energy and Engineering
  • Fuel Technology
  • Energy Engineering and Power Technology

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