Energy Management and Control of Fuel Cell 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: closed (22 November 2024) | Viewed by 2039
Special Issue Editors
2. Hydrogen Research Institute, University of Quebec in Trois-Rivieres, Trois-Rivières, QC G9A 5H7, Canada
Interests: hybrid electric vehicles; fuel cell systems; energy management; multiphysics systems; modeling and control
Interests: modeling and control of nonlinear dynamic systems; adaptive and intelligent control theory; soft-computing and machine intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Energy management/control strategy design is one of the key issues in the advancement of fuel cell and hybrid vehicles so as to maximize the reliability, efficiency, and lifetime of the system while satisfying the requested power. Several methods have been put forward and are currently being developed, from physical model-based control methods to pure data-driven techniques. Each of the proposed techniques have their own advantages and disadvantages and can be appropriately utilized in several cases. Furthermore, from a global standpoint, the power sharing between different sources of a fuel cell hybrid electric vehicle (FCHEV) results in varied energetic performance and imposes ageing/degradation on the utilized sources. The main purpose of this Special Issue is to disseminate the most recent advances related to the energy management strategy of FCHEVs along with theory, design, modeling, application, control, and condition monitoring of all the involved energy/power sources.
Topics of interest include but are not limited to:
- Advanced energy management strategies (hierarchical, optimization-based, intelligent-based, health-conscious);
- Fuel cell systems and fuel cell vehicles;
- Online identification methods for energy sources;
- Hybrid electric vehicles (HEV);
- Power sharing among energy storage systems;
- Fault-tolerant control;
- Aging, degradation, diagnostic, and prognostic tools;
- Multi-fuel cell systems.
Dr. Mohsen Kandidayeni
Dr. Hicham Chaoui
Prof. Dr. Samir Jemei
Guest Editors
Manuscript Submission Information
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Keywords
- fuel cell vehicles
- energy management strategy
- health-state estimation
- batteries and supercapacitors
- optimal control
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