An Energy Management Strategy for a Super-Mild Hybrid Electric Vehicle Based on a Known Model of Reinforcement Learning
Joint Authors
Yin, Yanli
Ran, Yan
Zhang, Liufeng
Pan, Xiaoliang
Luo, Yong
Source
Journal of Control Science and Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-01
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
For global optimal control strategy, it is not only necessary to know the driving cycle in advance but also difficult to implement online because of its large calculation volume.
As an artificial intelligent-based control strategy, reinforcement learning (RL) is applied to an energy management strategy of a super-mild hybrid electric vehicle.
According to time-speed datasets of sample driving cycles, a stochastic model of the driver’s power demand is developed.
Based on the Markov decision process theory, a mathematical model of an RL-based energy management strategy is established, which assumes the minimum cumulative return expectation as its optimization objective.
A policy iteration algorithm is adopted to obtain the optimum control policy that takes the vehicle speed, driver’s power demand, and state of charge (SOC) as the input and the engine power as the output.
Using a MATLAB/Simulink platform, CYC_WVUCITY simulation model is established.
The results show that, compared with dynamic programming, this method can not only adapt to random driving cycles and reduce fuel consumption of 2.4%, but also be implemented online because of its small calculation volume.
American Psychological Association (APA)
Yin, Yanli& Ran, Yan& Zhang, Liufeng& Pan, Xiaoliang& Luo, Yong. 2019. An Energy Management Strategy for a Super-Mild Hybrid Electric Vehicle Based on a Known Model of Reinforcement Learning. Journal of Control Science and Engineering،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1172609
Modern Language Association (MLA)
Yin, Yanli…[et al.]. An Energy Management Strategy for a Super-Mild Hybrid Electric Vehicle Based on a Known Model of Reinforcement Learning. Journal of Control Science and Engineering No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1172609
American Medical Association (AMA)
Yin, Yanli& Ran, Yan& Zhang, Liufeng& Pan, Xiaoliang& Luo, Yong. An Energy Management Strategy for a Super-Mild Hybrid Electric Vehicle Based on a Known Model of Reinforcement Learning. Journal of Control Science and Engineering. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1172609
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1172609