Adaptive Optimal Control Strategy for Plug-In Hybrid Electric Vehicles
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: 20 March 2025 | Viewed by 91
Special Issue Editor
Interests: fuel cells; electrolysers; energy systems; hybrid vehicles; modeling; optimization; diagnostics; prognostics; control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the current transition from conventional forms of transport towards more sustainable and net-zero emissions solutions, hybrid electric vehicles are widely considered to a suitable response to ever stricter requirements imposed by governing bodies and economic markets. Indeed, in many countries, the current state of electricity infrastructure is not yet adequate in terms of providing sufficient energy to sustain the needs of fully electrified fleets; intermediate solutions based on plug-in hybrid powertrains can pave the way towards the defined targets, especially for automotive and heavy-duty applications.
In this context, conventional technologies, such as internal combustion engines, or more innovative ones, such as fuel cells, can be connected in series, parallel, or in mixed architectures with batteries to provide the required degree of freedom to manage the power needs of the drivetrain and enable proper battery management. Moreover, the range of plug-in HEV configurations makes it possible to apply a wider range of energy management strategies that can make better use of available battery energy, since either charge-sustaining or charge-depleting approaches can be applied.
It is evident that the choice of optimal control strategies plays a crucial role in terms of powertrain component sizing, energy savings, as well as tailpipe emissions (when conventional fuels are accounted for). Therefore, the design and implementation of such strategies offers stimulating although challenging opportunities, especially due to the many types of powertrain and integration possibilities available, including advanced control units working in combination with ADAS and V2X technologies.
Bearing in mind this strong interplay, this Special Issue aims to collect the most recent works on the design and application of optimized adaptive control strategies for plug-in hybrid electric vehicles, focusing on control method conceptualization, modelling, implementation, and experimental testing.
Key topics of interest include, but are not limited to:
- The modeling, simulation, and validation of control strategies for plug-in hybrid vehicles;
- Plug-in hybrid powertrain design with internal combustion engines or fuel cells;
- Batteries and power electronics technologies trends for plug-in HEVs;
- Intelligent technologies, ADAS, and V2X solutions for energy management;
- Experimental validation of optimal control strategies.
Dr. Pierpaolo Polverino
Guest Editor
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Keywords
- plug-in hybrid electric vehicles
- fuel cells
- energy management strategies
- automotive system identification and modeling
- optimal control
- optimal design
- battery management strategies
- sustainable mobility
- ADAS
- V2X
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