Energy Management in Plug-In Hybrid Electric Vehicles: Convex Optimization Algorithms for Model Predictive Control

This article details an investigation into the computational performance of algorithms used for solving a convex formulation of the optimization problem associated with model predictive control for energy management in hybrid electric vehicles with nonlinear losses. A projected interior-point method...

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Veröffentlicht in:	IEEE transactions on control systems technology Jg. 28; H. 6; S. 2191 - 2203
Hauptverfasser:	East, Sebastian, Cannon, Mark
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.11.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Algorithms Alternating direction method of multipliers (ADMM) Batteries Computational geometry Convex analysis Convex functions Convexity Electric vehicles Energy management Engines Heuristic algorithms Hybrid electric vehicles interior-point method Mechanical power transmission model predictive control (MPC) Optimization plug-in hybrid electric vehicles (PHEVs) Predictive control
ISSN:	1063-6536, 1558-0865
Online-Zugang:	Volltext
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