Real-Time Energy Management Strategy Based on Driver-Action-Impact MPC for Series Hybrid Electric Vehicles
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-08
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Precise prediction of future vehicle information can improve the control efficiency of hybrid electric vehicles.
Nowadays, most prediction models use previous information of vehicles to predict future driving velocity, which cannot reflect the impact of the driver and the environment.
In this paper, a real-time energy management strategy (EMS) based on driver-action-impact MPC is proposed for series hybrid electric vehicles.
The proposed EMS consists of two modules: the velocity prediction module and the real-time MPC module.
In the velocity prediction module, a long short-term memory (LSTM) neural network model, which is trained by the traffic data derived from a VR-based driving simulator, is adopted to predict the future driving information by using driver action information and current vehicle’s velocity.
The obtained future driving velocity is treated as the inputs of the real-time MPC module, which outputs the control variables to act on the underlying controllers of power components by solving a standard quadratic programming (QP) problem.
Compared with the rule-based strategy, a 5.6% average reduction of fuel consumption is obtained.
The effectiveness of real-time computation of the EMS is validated and verified through a hardware-in-the-loop test platform.
American Psychological Association (APA)
Ruan, Shumin& Ma, Yue. 2020. Real-Time Energy Management Strategy Based on Driver-Action-Impact MPC for Series Hybrid Electric Vehicles. Complexity،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1144836
Modern Language Association (MLA)
Ruan, Shumin& Ma, Yue. Real-Time Energy Management Strategy Based on Driver-Action-Impact MPC for Series Hybrid Electric Vehicles. Complexity No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1144836
American Medical Association (AMA)
Ruan, Shumin& Ma, Yue. Real-Time Energy Management Strategy Based on Driver-Action-Impact MPC for Series Hybrid Electric Vehicles. Complexity. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1144836
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1144836