Name
Title | ||
|---|---|---|
Voltage Control Comparison For Low-Power Dc-Dc Converters In Evs: Pi And Explicit Mpc |
Abstract | ||
|---|---|---|
Multilevel converters are used to improve the traction converter of modern electric vehicles (EV). Such topologies can be applied even to low-power converter such as dc-dc auxiliary converters, to improve the EV overall efficiency. The low voltage rating of auxiliary circuits implies the usage of low-cost hardware both for power as well for control platforms. A cost-effective explicit model predictive control (eMPC) is designed for a three-level neutral point clamped step-down dc-dc auxiliary converter and compared to an eMPC for a two-level solution. Both eMPCs are compared to a classical PI-type voltage control. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IECON.2018.8591195 | IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY |
Keywords | Field | DocType |
electric vehicles, dc-dc converter, explicit model predictive control, multilevel converter | Traction (orthopedics),Control theory,Voltage control,Model predictive control,Converters,Network topology,Low voltage,Engineering,Electronic circuit | Conference |
ISSN | Citations | PageRank |
1553-572X | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| mattia rossi | 1 | 18 | 3.51 |
| L. Piegari | 2 | 32 | 6.35 |
| Francesco Castelli-Dezza | 3 | 8 | 2.75 |
| Marco Mauri | 4 | 162 | 12.72 |
| Maria Stefania Carmeli | 5 | 4 | 1.19 |