@inproceedings{8ae7d1bb11014f388d4e99535377a252,
title = "Lithium-Ion Battery State Estimation for a Single Particle Model with Intercalation-Induced Stress",
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.",
author = "Dong Zhang and Satadru Dey and Moura, {Scott J.}",
note = "Publisher Copyright: {\textcopyright} 2018 AACC.; 2018 Annual American Control Conference, ACC 2018 ; Conference date: 27-06-2018 Through 29-06-2018",
year = "2018",
month = aug,
day = "9",
doi = "10.23919/ACC.2018.8431476",
language = "English (US)",
isbn = "9781538654286",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2294--2299",
booktitle = "2018 Annual American Control Conference, ACC 2018",
address = "United States",
}