Abstract
The Energy Management System (EMS) in Hybrid Electric Vehicles (HEV) determines the optimal use of the available power resources to reduce the total fuel energy over a drive cycle. A real-time EMS that includes start-stop and gear selection in an optimal control framework, could not be found in literature. In this paper, a model-based controller is designed that solves the optimal control problem for a given equivalency between the energy sources, including the discrete control of start-stop and shifting. By approximating a validated vehicle model with piecewise affine functions, the controller converts to a Mixed-Integer Linear Program (MILP), which can be explicitly solved and stored on a real-time controller. In simulation the controller is able to outperform an EMS with heuristic control of start-stop and shifting: on a proprietary drive cycle, the number of gear shift events is reduced by 42%, the number of start-stop events is reduced by 6%, while at the same time fuel economy is improved by 0.3%
| Original language | English |
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| Title of host publication | Proceedings of the American Control Conference, June 27-29, 2012, Montreal, Canada |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 521-526 |
| ISBN (Print) | 978-1-4673-2102-0 |
| Publication status | Published - 2012 |
| Event | 2012 American Control Conference, ACC 2012 - Fairmont Queen Elizabeth, Montreal, Canada Duration: 27 Jun 2012 → 29 Jun 2012 http://acc2012.a2c2.org/ http://acc2012.a2c2.org/index.php |
Conference
| Conference | 2012 American Control Conference, ACC 2012 |
|---|---|
| Abbreviated title | ACC 2012 |
| Country/Territory | Canada |
| City | Montreal |
| Period | 27/06/12 → 29/06/12 |
| Internet address |