Name
Title | ||
|---|---|---|
MPC strategies based on the equivalent hydraulic model for the fast charge of commercial Li-ion batteries |
Abstract | ||
|---|---|---|
In this work, we propose and demonstrate two low-computational MPC-based strategies to charge low-capacity commercial Li-ion batteries in the shortest time possible, while limiting the occurrence of degradation mechanisms. To do so, we use a low-complexity electrochemical model (the Equivalent Hydraulic Model, EHM). To reduce the computational burden of the resulting non-convex optimization problem, two approximations of the admissible region are considered: a time-invariant convexification, and a time-varying convex embedding. These approximations are experimentally tested on commercial LCO batteries (Turnigy 160mAh), under controlled ambient temperatures (10, 20, and 30 ∘C) and a non-controlled scenario. They are compared with the Constant Current-Constant Voltage (CCCV) protocol. Experimental results show that the proposed schemes achieve relevant reductions of the charging time with respect to the CCCV in thermal non-controlled and controlled environments. Results also highlight that the time-varying convex embedding does not significantly impact the computational time while further reducing the charging time. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compchemeng.2020.107010 | Computers & Chemical Engineering |
Keywords | DocType | Volume |
Commercial li-ion batteries,Fast and safe charge,Low-complexity constrained algorithm,Computational time,Equivalent hydraulic model (EHM),Model predictive control (MPC) | Journal | 141 |
ISSN | Citations | PageRank |
0098-1354 | 2 | 0.42 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alejandro Goldar | 1 | 2 | 0.42 |
| Romagnoli, R. | 2 | 23 | 6.90 |
| Luis D. Couto | 3 | 4 | 5.54 |
| Alberto Romero | 4 | 2 | 0.42 |
| Michel Kinnaert | 5 | 84 | 18.07 |
| Emanuele Garone | 6 | 324 | 38.77 |