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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
Open AccessArticle

Predictive Cruise Control in Hybrid Electric Vehicles

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Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands
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TNO business unit Automotive, P.O. Box 756, 5700 AT, Helmond
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Author to whom correspondence should be addressed.
World Electr. Veh. J. 2009, 3(3), 494-504; https://doi.org/10.3390/wevj3030494
Published: 25 September 2009
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).
Keywords: HEV (Hybrid Electric Vehicle); regenerative braking; truck; energy consumption; optimization HEV (Hybrid Electric Vehicle); regenerative braking; truck; energy consumption; optimization
MDPI and ACS Style

Van Keulen, T.; Naus, G.; De Jager, B.; Van de Molengraft, R.; Steinbuch, M.; Aneke, E. Predictive Cruise Control in Hybrid Electric Vehicles. World Electr. Veh. J. 2009, 3, 494-504.

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World Electr. Veh. J., EISSN 2032-6653, Published by MDPI AG
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