Lithium-Ion Battery State Estimation for a Single Particle Model with Intercalation-Induced Stress

Dong Zhang, Satadru Dey, Scott J. Moura

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

2 Scopus citations

Abstract

This paper develops a nonlinear observer for lithium-ion battery electrode particle stress and state-of-charge (SOC) estimation using the single particle model (SPM) coupled with mechanical stress. Particle fracture due to stress generation is a critical mechanism causing capacity fade, and thus reducing battery life. The stress sub-model captures stress developed during lithium ion intercalation and deintercalation. State estimation based on coupled SPM and mechanical stress model is particularly challenging because the coupled model is given by nonlinear partial differential equations (PDEs). We address this problem by reducing the coupled model to a system of nonlinear ordinary differential equations (ODEs), and then apply nonlinear observer design methods. The key novelty of this design is a nonlinear internal state estimation algorithm, from which the internal stress can be monitored from current and terminal voltage measurements only. Simulation studies illustrate the performance of the proposed estimation scheme.

Original languageEnglish (US)
Title of host publication2018 Annual American Control Conference, ACC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2294-2299
Number of pages6
ISBN (Print)9781538654286
DOIs
StatePublished - Aug 9 2018
Event2018 Annual American Control Conference, ACC 2018 - Milwauke, United States
Duration: Jun 27 2018Jun 29 2018

Publication series

NameProceedings of the American Control Conference
Volume2018-June
ISSN (Print)0743-1619

Other

Other2018 Annual American Control Conference, ACC 2018
CountryUnited States
CityMilwauke
Period6/27/186/29/18

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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