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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 as a courtesy and upon agreement with AVERE.
Open AccessArticle
World Electr. Veh. J. 2009, 3(3), 494-504;

Predictive Cruise Control in Hybrid Electric Vehicles

Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands
TNO business unit Automotive, P.O. Box 756, 5700 AT, Helmond
Author to whom correspondence should be addressed.
Published: 25 September 2009
PDF [331 KB, uploaded 17 May 2018]


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
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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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, Basel, Switzerland RSS E-Mail Table of Contents Alert
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