Abstract
Deceleration rates have considerable influence on the fuel economy of hybrid electric vehicles. Given the vehicle characteristics and actual/measured operating conditions, as well as upcoming route information, optimal velocity trajectories can be constructed that maximize energy recovery. To support the driver in tracking of the energy optimal velocity trajectory, automatic cruise control is an important driver aid. In practice, perfect tracking of the optimal velocity trajectory is often not possible. An Adaptive Cruise Control (ACC) system is employed to react to the actual traffic situation. The combination of optimal velocity trajectory construction and ACC is presented as Predictive Cruise Control (PCC).
Original language | English |
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Title of host publication | 24th International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition 2009, EVS 24 |
Place of Publication | New York |
Publisher | Electric Vehicle Council |
Pages | 1620-1630 |
Number of pages | 11 |
Volume | 3 |
ISBN (Print) | 9781615674558 |
Publication status | Published - 1 Dec 2009 |
Event | 24th International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition (EVS 2009) - Stavanger, Norway Duration: 13 May 2009 → 16 May 2009 Conference number: 24 http://www.evs24.org/ |
Conference
Conference | 24th International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition (EVS 2009) |
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Abbreviated title | EVS 2009 |
Country/Territory | Norway |
City | Stavanger |
Period | 13/05/09 → 16/05/09 |
Other | "Towards Zero Emission" |
Internet address |
Keywords
- Energy consumption
- Hev (hybrid electric vehicle)
- Optimization
- Regenerative braking
- Truck