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 19
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
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
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
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
