NDLI: Global optimal energy management control strategies for connected four-wheel-drive hybrid electric vehicles

Content Provider	IET Digital Library
Author	Qiu, Lihong Qian, Lijun Zomorodi, Hesam Pisu, Pierluigi
Abstract	This study presents a novel decentralised hierarchical global energy management control strategy for a group of connected four-wheel-drive hybrid electric vehicles (HEVs) in urban road conditions. In the higher level controller, signal phase and timing information and the optimal cruising velocity are combined to generate the target velocities for the HEVs. A model predictive control framework that focuses on the tracking of the target velocity and the associated desired control variable for every individual vehicle is proposed for the prediction of the optimal velocity that compromises fuel economy, mobility and safety. In the lower level controller, a dynamic programming problem is formulated that utilises the predicted velocity for the global energy management optimisation of every individual HEV. Simulation results validate the advantages of the proposed higher and lower level controllers.
Starting Page	264
Ending Page	272
Page Count	9
ISSN	1751956X
Volume Number	11
e-ISSN	17519578
Issue Number	Issue 5, Jun (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/11/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2016.0197
Journal	IET Intelligent Transport Systems
Publisher Date	2017-03-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Connected Four-wheel-drive Hybrid Electric Vehicle Control of Electric Power System Decentralised Hierarchical Global Energy Management Control Strategy Dynamic Programming Dynamic Programming Problem Energy Management System Fuel Economy Global Energy Management Optimisation Global Optimal Energy Management Control Strategy HEVs Hybrid Electric Vehicle Level Control Level Controller Level, Flow And Volume Control Model Predictive Control Framework Optimal Control Optimal Cruising Velocity Optimisation Technique Predictive Control Target Velocity Generation Timing Information Transportation Transportation System Control Urban Road Condition Wheels
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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