Reliable and Safe Electric Vehicle Powertrain Design and Optimization
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 934
Special Issue Editors
Interests: design for reliability; lifetime testing; condition monitoring and predictive health management of automotive converters; cloud-connected digital twin design and AI-based modeling of the powertrain components; situationally aware battery management systems (BMS)
Interests: power electronics; electrical machines; electric and (plug-in) hybrid electric vehicles; Digital Twin (DT); reliability & lifetime; charging infrastructure; power/energy management strategies; FC (Hydrogen) powertrains; battery management systems (BMS); V2X systems; optimization techniques and smart DC grid with renewable energy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The European Commission's “Fit for 55” package has proposed 55% and 50% emission reduction targets for cars and vans (below 1990 levels), respectively, and a zero-emission target for 2035, which is crucial to achieve climate neutrality by 2050. These objectives necessitate a significant shift towards the electrification of powertrains. This Special Issue will show the pathway to achieving these ambitious goals by facilitating international research ideas, findings, and results from experts. The research published in this Special Issue will encompass the latest metaheuristic algorithms aimed at identifying the optimal trade-off analysis for powertrain design and component sizing and control parameter optimization (i.e., EMS, TMS, and ECO features), while taking into account enhancements to meet EV consumers’ expectations of range, comfort, and reliability. The topics of interest for this Special Issue include, but are not limited to, the following:
- Correct component sizing for energy efficiency;
- Optimal powertrain design, control, and ECO functionalities;
- Optimal thermal and energy management control;
- Physics-based and machine-learning-based powertrain design tool;
- Streamlined X-in-the-Loop tests for powertrain;
- Advanced E/E topologies for powertrain (i.e., multi-inverter, in-wheel propulsion, HV DC/DC, and integrated power electronics);
- Ageing-aware energy efficient control and sizing;
- Fault localization and fail-safe mode operation for reliable powertrain components;
- Advanced optimization techniques related to powertrain;
- Advanced measurement concepts for development and validation of EV/FCEVs;
- Predictive health management of powertrain components;
- Fuel cell powertrains design, sizing and control;
- User-immersive powertrain control for autonomous shuttles and cars;
- User-centric powertrain control.
Dr. Sajib Chakraborty
Prof. Dr. Omar Hegazy
Guest Editors
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
- efficient EV
- optimization
- safety and reliability
- EV design tool
- user-centric design
