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 language | English (US) |
|---|---|
| Title of host publication | 2018 Annual American Control Conference, ACC 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2294-2299 |
| Number of pages | 6 |
| ISBN (Print) | 9781538654286 |
| DOIs | |
| State | Published - Aug 9 2018 |
| Event | 2018 Annual American Control Conference, ACC 2018 - Milwauke, United States Duration: Jun 27 2018 → Jun 29 2018 |
Publication series
| Name | Proceedings of the American Control Conference |
|---|---|
| Volume | 2018-June |
| ISSN (Print) | 0743-1619 |
Other
| Other | 2018 Annual American Control Conference, ACC 2018 |
|---|---|
| Country/Territory | United States |
| City | Milwauke |
| Period | 6/27/18 → 6/29/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
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