Minimizing state-of-health degradation in hybrid electrical energy storage systems with arbitrary source and load profiles

Yanzhi Wang, Xue Lin, Qing Xie, Naehyuck Chang, Massoud Pedram

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

Abstract

Hybrid electrical energy storage (HEES) systems consisting of heterogeneous electrical energy storage (EES) elements are proposed to exploit the strengths of different EES elements and hide their weaknesses. The cycle life of the EES elements is one of the most important metrics. The cycle life is directly related to the state-of-health (SoH), which is defined as the ratio of full charge capacity of an aged EES element to its designed (or nominal) capacity. The SoH degradation models of battery in the previous literature can only be applied to charging/discharging cycles with the same state-of-charge (SoC) swing. To address this shortcoming, this paper derives a novel SoH degradation model of battery for charging/discharging cycles with arbitrary patterns. Based on the proposed model, this paper presents a near-optimal charge management policy focusing on extending the cycle life of battery elements in the HEES systems while simultaneously improving the overall cycle efficiency.

Original languageEnglish (US)
Title of host publicationProceedings - Design, Automation and Test in Europe, DATE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9783981537024
DOIs
StatePublished - Jan 1 2014
Event17th Design, Automation and Test in Europe, DATE 2014 - Dresden, Germany
Duration: Mar 24 2014Mar 28 2014

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE
ISSN (Print)1530-1591

Other

Other17th Design, Automation and Test in Europe, DATE 2014
CountryGermany
CityDresden
Period3/24/143/28/14

ASJC Scopus subject areas

  • Engineering(all)

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