Name
Title | ||
|---|---|---|
Computationally-Efficient Constrained Control Of The State-Of-Charge Of A Li-Ion Battery Cell |
Abstract | ||
|---|---|---|
This paper presents a control strategy to perform healthy fast charging of a lithium-ion (Li-ion) battery cell. The control law is based on a two-step approach. First, the battery cell is controlled using an aggressive pre-stabilization loop. Then, constraint satisfaction is ensured by augmenting the resulting system with an explicit reference governor able to handle the (possibly nonlinear) constraints arising from the physics of the battery. The control law is designed using a reduced model of the battery dynamics and is then validated on a highly accurate simulator of the battery cell. Comparisons with existing strategies show that the proposed control scheme exhibits better performances while maintaining a low computational cost. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | Reference governor,Constraint satisfaction,Fast charging,Nonlinear system,Computer science,Control theory,Battery (electricity),State of charge |
DocType | ISSN | Citations |
Conference | 0743-1546 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Romagnoli, R. | 1 | 23 | 6.90 |
| Luis D. Couto | 2 | 4 | 5.54 |
| Nicotra, M. | 3 | 34 | 9.25 |
| Michel Kinnaert | 4 | 84 | 18.07 |
| Emanuele Garone | 5 | 324 | 38.77 |