Real-time optimal energy management strategy for a dual-mode power-split hybrid electric vehicle based on an explicit model predictive control algorithm

To improve fuel economy and reduce online computation time and microprocessor hardware resources, a real-time implementable energy management strategy for a dual-mode power-split hybrid electric vehicle (HEV) based on an explicit model predictive control (EMPC) method is proposed in this paper. The...

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Bibliographic Details
Published in:	Energy (Oxford) Vol. 172; pp. 1161 - 1178
Main Authors:	Li, Xunming, Han, Lijin, Liu, Hui, Wang, Weida, Xiang, Changle
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.04.2019 Elsevier BV
Subjects:	Algorithms Benchmarks Computer simulation Consumption Control algorithms Control systems Control theory Control-oriented model Controllers Dynamic coordination control Electric vehicles energy Energy efficiency Energy management energy use and consumption Explicit model predictive control algorithm Fuel consumption Fuel economy fuels Hardware Hybrid electric vehicles Internet Mathematical models Multiparameter quadratic programming Optimal control Optimization Power-split HEV Predictive control Quadratic programming Real time Real-time energy management strategy Resource management Strategy Time optimal control vehicles (equipment) Real-time energy management strategy Explicit model predictive control algorithm Dynamic coordination control Multiparameter quadratic programming Power-split HEV Control-oriented model
ISSN:	0360-5442, 1873-6785
Online Access:	Get full text
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