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Adaptive cruise control look-ahead system for energy management of vehicles

Khayyam, Hamid, Nahavandi, Saeid and Davis, Sam 2012, Adaptive cruise control look-ahead system for energy management of vehicles, Expert systems with applications, vol. 39, no. 3, pp. 3874-3885.

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Title Adaptive cruise control look-ahead system for energy management of vehicles
Author(s) Khayyam, Hamid
Nahavandi, Saeid
Davis, Sam
Journal name Expert systems with applications
Volume number 39
Issue number 3
Start page 3874
End page 3885
Total pages 12
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2012-02-15
ISSN 0957-4174
1873-6793
Keyword(s) adaptive cruise control
ANFIS
energy management
environmental modeling
neuro-fuzzy
vehicle modeling and simulation
Summary Cruise control in motor vehicles enhances safe and efficient driving by maintaining a constant speed at a preset level. Adaptive Cruise Control (ACC) is the latest development in cruise control. It controls engine throttle position and braking to maintain a safe distance behind a vehicle in front by responding to the speed of this vehicle, thus providing a safer and more relaxing driving environment. ACC can be further developed by including the look-ahead method of predicting environmental factors such as wind speed and road slope. The conventional analytical control methods for adaptive cruise control can generate good results; however they are difficult to design and computationally expensive. In order to achieve a robust, less computationally expensive, and at the same time more natural human-like speed control, intelligent control techniques can be used. This paper presents an Adaptive Neuro-Fuzzy Inference System (ANFIS) based on ACC systems that reduces the energy consumption of the vehicle and improves its efficiency. The Adaptive Cruise Control Look-Ahead (ACC-LA) system works as follows: It calculates the energy consumption of the vehicle under combined dynamic loads like wind drag, slope, kinetic energy and rolling friction using road data, and it includes a look-ahead strategy to predict the future road slope. The cruise control system adaptively controls the vehicle speed based on the preset speed and the predicted future slope information. By using the ANFIS method, the ACC-LA is made adaptive under different road conditions (slope angle and wind direction and speed). The vehicle was tested using the adaptive cruise control look-ahead energy management system, the results compared with the vehicle running the same test but without the adaptive cruise control look-ahead energy management system. The evaluation outcome indicates that the vehicle speed was efficiently controlled through the look-ahead methodology based upon the driving cycle, and that the average fuel consumption was reduced by 3%.
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2011, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044102

Document type: Journal Article
Collections: Centre for Intelligent Systems Research
School of Engineering
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Created: Thu, 05 Apr 2012, 15:48:07 EST