| Full text | |
| Author(s): |
Locatelli, D.
;
Rego, B. S.
;
Raffo, G., V
;
Raimondo, D. M.
Total Authors: 4
|
| Document type: | Journal article |
| Source: | IFAC PAPERSONLINE; v. 54, n. 3, p. 7-pg., 2021-09-08. |
| Abstract | |
Battery management systems (BMSs) are responsible for controlling and monitoring battery operations. In order to be effective, BMSs rely on mathematical models. The parameters of these latter are usually obtained through an identification procedure which provides limited accuracy. In addition, only cell current and voltage are usually measurable. For this reason, the model states need to be estimated. In the following, we propose an interval state estimation of a lithium-ion cell when using an equivalent circuit model, taking into account bounded parametric uncertainty and measurement noise. Simulation results show the suitability of the proposed interval estimator to provide a tight enclosure of the states, which is essential for fault detection and model-based control of a lithium-ion cell. Copyright (C) 2021 The Authors. (AU) | |
| FAPESP's process: | 14/50851-0 - INCT 2014: National Institute of Science and Technology for Cooperative Autonomous Systems Applied in Security and Environment |
| Grantee: | Marco Henrique Terra |
| Support Opportunities: | Research Projects - Thematic Grants |