Optimal cost-emission trade-off for plug-in hybrid electric vehicles around zero emission zones using a supervisory energy and emissions management strategy

[EN] The growing call for pollution-free environments has prompted the creation of zero-emission zones (ZEZs) around the world. For regional and national transport, plug-in hybrid electric vehicle (PHEV) are an attractive option, which also offer ZE driving. To address the PHEV challenges of suffici...

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Bibliographic Details
Authors: Nakaema-Aronis, Andre|||0000-0001-9599-7736, Pla Moreno, Benjamín|||0000-0001-9238-2939, Willems, Frank, Kupper, Frank
Format: article
Publication Date:2025
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/221173
Online Access:https://riunet.upv.es/handle/10251/221173
Access Level:Open access
Keyword:Energy management
Optimal control
Emissions control
Zero emission zone
Plug-in hybrid electric vehicles
Description
Summary:[EN] The growing call for pollution-free environments has prompted the creation of zero-emission zones (ZEZs) around the world. For regional and national transport, plug-in hybrid electric vehicle (PHEV) are an attractive option, which also offer ZE driving. To address the PHEV challenges of sufficient ZE driving range and of meeting real-world emission targets outside the ZEZs, this work proposes an adaptive supervisory control strategy, which minimizes the total operational costs while complying with tailpipe NOx emissions constraints. It combines a Modular Energy Management Strategy (MEMS), for cost-optimal power-split, with an Integrated Emission Management (IEM) strategy for determining the cost-optimal air path setting of the internal combustion engine. A real-time implementable, optimal control strategy is derived based on Pontryagin¿s Minimum Principle. To determine the optimal selection of the co-states used in this strategy, a numerical optimization is performed for different route segments and real-world cycles. This study demonstrates that PHEVs can successfully be operated around ZEZs. The best performance is realized with an adaptive supervisory control strategy with different co-states per route segment; compared to the standard strategy with fixed costates, this proposed strategy was able to achieve cost and NOx emission reductions of up to 10% and 22%, respectively, for the studied real-world cycles.