Name
Abstract | ||
|---|---|---|
Hybrid Electric Vehicles (HEV) improvements in fuel economy and emissions strongly depend on the energy management strategy.In this paper a new control strategy called Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) is presented. This real-time energy management for HEV is obtained adding to the ECMS framework an on-the-fly algorithm for the estimation of the equivalence factor according to the driving conditions. The main idea is to periodically refresh the control parameter according to the current road load, so that the battery State of Charge (SOC) is maintained within the boundaries and the fuel consumption is minimized. The results obtained with A-ECMS show that the fuel economy that can be achieved is only slightly sub-optimal and the operations are charge-sustaining. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/CDC.2005.1582424 | 2005 44th IEEE Conference on Decision and Control & European Control Conference, Vols 1-8 |
Keywords | DocType | ISSN |
automotive, hybrid electric vehicle, supervisory control, optimal control, real-time control | Conference | 0191-2216 |
Citations | PageRank | References |
6 | 0.46 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristian Musardo | 1 | 6 | 0.46 |
| Giorgio Rizzoni | 2 | 258 | 56.95 |
| Benedetto Staccia | 3 | 6 | 0.46 |