A novel combinatorial optimization algorithm for energy management strategy of plug-in hybrid electric vehicle

DOI10.1016/j.jfranklin.2017.08.020zbMath1373.49048OpenAlexW2750303678MaRDI QIDQ2412468

Sixiong You, Liyan Zhou, Rui Xiong, Zongqi Han, Liang Li, Chao Yang

Publication date: 23 October 2017

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.08.020

zbMATH Keywords

genetic algorithm (GA)optimal control parametersenergy management strategyplug-in hybrid electric vehiclecombinatorial optimization algorithm

Mathematics Subject Classification ID

Applications of optimal control and differential games (49N90) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)

Related Items (2)

Multi-agent DRL-based data-driven approach for PEVs charging/discharging scheduling in smart grid ⋮ Multi-physical cooperative control of plug-in hybrid electric vehicles via cyber hierarchy and interactional network

Cites Work

• Hybrid genetic algorithm-based optimization of powertrain and control parameters of plug-in hybrid electric bus
• Application of genetic algorithm for optimization of control strategy in parallel hybrid electric vehicles
• New results on H∞ dynamic output feedback control for Markovian jump systems with time-varying delay and defective mode information

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