Name
Abstract | ||
|---|---|---|
This paper investigates an energy management problem of parallel hybrid electric vehicles (HEVs), which can be modeled as a finite horizon optimal control problem for the discrete dynamical systems. Taking the essential characteristics of plug-in HEVs into account, a logical-based optimization approach is applied to realize the equivalent energy cost minimization of the powertrain system. Then, based on semi-tensor product, an effective algorithm for obtaining an approximate optimal solution is proposed by using the logical network-based approach. Finally, simulation results are presented to illustrate and show the effectiveness of the proposed optimal control scheme and the corresponding algorithm. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/IECON43393.2020.9255060 | IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY |
Keywords | DocType | ISSN |
hybrid electric vehicle, energy optimization, logical network, approximate optimal solution | Conference | 1553-572X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiangyan Zhang | 1 | 27 | 7.02 |
| Yuhu Wu | 2 | 90 | 7.40 |
| Tielong Shen | 3 | 243 | 40.52 |