Predictive cruise control in hybrid electric vehicles

Thijs van Keulen; Gerrit Naus; Bram de Jager; René van de Molengraft; Maarten Steinbuch; Edo Aneke

doi:10.3390/wevj3030494

Predictive cruise control in hybrid electric vehicles

Thijs van Keulen (Corresponding author), Gerrit Naus, Bram de Jager, René van de Molengraft, Maarten Steinbuch, Edo Aneke

Control Systems Technology

Research output: Contribution to journal › Article › Academic › peer-review

18 Citations (Scopus)

57 Downloads (Pure)

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
Pages (from-to)	494-504
Number of pages	11
Journal	World Electric Vehicle Journal
Volume	3
Issue number	3
DOIs	https://doi.org/10.3390/wevj3030494
Publication status	Published - 25 Sept 2009

Keywords

Energy consumption
HEV (Hybrid Electric Vehicle)
Optimization
Regenerative braking
Truck

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/wevj3030494

published versionFinal published version, 331 KB

Cite this

@article{c3e1ce8eeab6419ba9c9c11c5a2ced54,

title = "Predictive cruise control in hybrid electric vehicles",

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).",

keywords = "Energy consumption, HEV (Hybrid Electric Vehicle), Optimization, Regenerative braking, Truck",

author = "{van Keulen}, Thijs and Gerrit Naus and {de Jager}, Bram and {van de Molengraft}, Ren{\'e} and Maarten Steinbuch and Edo Aneke",

year = "2009",

month = sep,

day = "25",

doi = "10.3390/wevj3030494",

language = "English",

volume = "3",

pages = "494--504",

journal = "World Electric Vehicle Journal",

issn = "2032-6653",

publisher = "The World Electric Vehicle Association (WEVA)",

number = "3",

}

TY - JOUR

T1 - Predictive cruise control in hybrid electric vehicles

AU - van Keulen, Thijs

AU - Naus, Gerrit

AU - de Jager, Bram

AU - van de Molengraft, René

AU - Steinbuch, Maarten

AU - Aneke, Edo

PY - 2009/9/25

Y1 - 2009/9/25

N2 - 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).

AB - 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).

KW - Energy consumption

KW - HEV (Hybrid Electric Vehicle)

KW - Optimization

KW - Regenerative braking

KW - Truck

UR - http://www.scopus.com/inward/record.url?scp=85042304693&partnerID=8YFLogxK

U2 - 10.3390/wevj3030494

DO - 10.3390/wevj3030494

M3 - Article

AN - SCOPUS:85042304693

SN - 2032-6653

VL - 3

SP - 494

EP - 504

JO - World Electric Vehicle Journal

JF - World Electric Vehicle Journal

IS - 3

ER -

Predictive cruise control in hybrid electric vehicles

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this