Study on Adaptive Cruise Control Strategy for Battery Electric Vehicle
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-10
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
This paper studies the control strategy for adaptive cruise control (ACC) system on a battery electric vehicle (BEV) in the car-following process, and the highlight of this paper is that the regeneration braking of BEV is considered in the car-following process.
The hierarchical control structure is adopted for the ACC system.
And the structure contains an upper controller and a lower controller.
In the upper controller, multiple objectives including the safety, tracking, comfort, and energy consumption are optimized by using the model predictive control (MPC) method.
In the lower controller, the energy is recovered during braking.
So the energy economy is improved by reducing energy consumption and increasing energy recovery.
The proposed ACC strategy is evaluated in simulation experiment.
In the simulation experiment, safe tracking for the front vehicle is guaranteed, and the comfort and the energy economy are improved greatly.
So the proposed adaptive cruise control strategy can make ACC more widely used in BEVs.
American Psychological Association (APA)
Zhang, Sheng& Zhuan, Xiangtao. 2019. Study on Adaptive Cruise Control Strategy for Battery Electric Vehicle. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1197277
Modern Language Association (MLA)
Zhang, Sheng& Zhuan, Xiangtao. Study on Adaptive Cruise Control Strategy for Battery Electric Vehicle. Mathematical Problems in Engineering No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1197277
American Medical Association (AMA)
Zhang, Sheng& Zhuan, Xiangtao. Study on Adaptive Cruise Control Strategy for Battery Electric Vehicle. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1197277
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197277