Predictive cruise control in hybrid electric vehicles

被引：0

作者：

van Keulen, Thijs ^{[1
]}

Naus, Gerrit ^{[1
]}

de Jager, Bram ^{[1
]}

van de Molengraft, René ^{[1
]}

Steinbuch, Maarten ^{[1
]}

Aneke, Edo ^{[2
]}

机构：

[1] Eindhoven University of Technology, P.O. Box 513, Eindhoven,5600 MB, Netherlands

[2] TNO business unit Automotive, P.O. Box 756, Helmond,5700 AT, Netherlands

来源：

World Electric Vehicle Journal | 2009年 / 3卷 / 03期

关键词：

Trajectories - Adaptive cruise control - Fuel economy - Regenerative braking - Velocity - Energy utilization - Adaptive control systems;

D O I：

10.3390/wevj3030494

中图分类号：

学科分类号：

摘要：

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). © 2009 AVERE.

引用

页码：494 / 504

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