Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.5
3.2
Journals
Energies
Special Issues
Observation and Control of a Fuel Cell System for Electric...
energies-logo
Submit to Energies Review for Energies Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Observation and Control of a Fuel Cell System for Electric Vehicle Applications

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A5: Hydrogen Energy".

Deadline for manuscript submissions: closed (30 June 2020) | Viewed by 13321

Special Issue Editor

Prof. Dr. Malek GHANES

E-Mail Website
Guest Editor
Centrale Nantes (CN), Director of the Chair between Renault and CN on electric vehicle performances, LS2N, CNRS UMR 6004, 1 rue de la Noë, BP 92101, 44321 Nantes Cedex 3, France
Interests: observation; control; nonlinear systems; fuel cell; electric vehicle; renewable energy, power electronics, electric machines
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Guest Editor is inviting submissions for a Special Issue of Energies entitled “Observation and Control of a Fuel Cell System for Electric Vehicle Applications”.

Electric vehicles based on hydrogen fuel cell propulsion are promising and are considered environmentally friendly as their byproducts are water and heat. The hydrogen fuel cell is used in combination with storage devices to power the electric motor propulsion of EV. The energy management problem (observation and control) of EV-based HFC is a crucial problem that has been tackled by the international control community over recent years in relation to the introduction of electrical and hybrid vehicle technology.

This Special Issue aims to present developments or adaptions of the more recent observation and control methodologies to the energy management problem through fuel cells and their integration with other devices such as batteries, supercapacitors, or loads.

This investigation may include the following two approaches:

The first takes into account the fuel cell dynamics in the energy management loop.

The second does not consider the fuel cell dynamics in energy management but imposes some specific constraints with respect to fuel cell output.

This Special Issue will focus on emerging power electronic topologies and applications for power systems and motor drives. Topics of interest for publication include, but are not limited to:

- Observation in electric vehicles based on hydrogen fuel cell propulsion;

- Control in electric vehicles based on hydrogen fuel cell propulsion;

- Power management in electric vehicles based on hydrogen fuel cell propulsion.

Prof. Malek Ghanes
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

  • hydrogen fuel cell
  • electric vehicle
  • nonlinear observer and control
  • power management

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 3331 KiB  
Article
Grey Wolf Optimizer-Based Predictive Torque Control for Electric Buses Applications
by Ali Djerioui, Azeddine Houari, Mohamed Machmoum and Malek Ghanes
Energies 2020, 13(19), 5013; https://doi.org/10.3390/en13195013 - 24 Sep 2020
Cited by 11 | Viewed by 1955
Abstract
This paper proposes an improved Predictive Torque Control (PTC) of a PMSM based on the Grey Wolf Optimizer (GWO) for smooth torque operation in Electric Bus applications (EBs). The embedded GWO is used to resolve the torque tracking tasks with minimal oscillations in [...] Read more.
This paper proposes an improved Predictive Torque Control (PTC) of a PMSM based on the Grey Wolf Optimizer (GWO) for smooth torque operation in Electric Bus applications (EBs). The embedded GWO is used to resolve the torque tracking tasks with minimal oscillations in running at the low speed of PMSM drives. The new PTC algorithm can successfully ensure the smooth time evolution of the torque and the speed. The design methodology is detailed and the provided experimental results show that the proposed PTC-GWO can be implemented in real-time on embedded hardware, offering high effectiveness in both steady and transient states of the PMSM drives, even at low-speed range. Full article
(This article belongs to the Special Issue Observation and Control of a Fuel Cell System for Electric Vehicle Applications)
►▼ Show Figures

Figure 1

16 pages, 1826 KiB  
Article
Design of an Equivalent Consumption Minimization Strategy-Based Control in Relation to the Passenger Number for a Fuel Cell Tram Propulsion
by Francesco Piraino and Petronilla Fragiacomo
Energies 2020, 13(15), 4010; https://doi.org/10.3390/en13154010 - 3 Aug 2020
Cited by 12 | Viewed by 2271
Abstract
In this paper, a new control strategy for a fuel cell supercapacitor tramway is tested on a real drive cycle. The control algorithm is based on the equivalent consumption minimization strategy, weighted for the vehicle passenger number. Its implementation is presented by highlighting [...] Read more.
In this paper, a new control strategy for a fuel cell supercapacitor tramway is tested on a real drive cycle. The control algorithm is based on the equivalent consumption minimization strategy, weighted for the vehicle passenger number. Its implementation is presented by highlighting the customization for a specific drive cycle, located in Reggio Calabria, one of the main cities of southern Italy. The heart of the paper concerns the fuel cell hybrid powertrain, where energy source and DC/DC converter models are formalized and numerically designed; in addition, all the drivetrain components are taken into account through appropriate relations. By means of the drive cycle characteristics, in terms of morphology, vehicle features, and speed, the main components are properly selected, with the aim of avoiding under- and over-sizing issues. A specific case study is analyzed, considering the passenger variation at each tramway stop. Satisfying results are achieved in the simulation campaign: 2.9 kg of hydrogen is consumed for a round trip, with a quasi-constant fuel cell efficiency of more than 50%, while the supercapacitor SOC ranges in a wide interval, between 35% and 95%. Full article
(This article belongs to the Special Issue Observation and Control of a Fuel Cell System for Electric Vehicle Applications)
►▼ Show Figures

Graphical abstract

17 pages, 3239 KiB  
Article
A Novel Fuel-Cell Electric Articulated Vehicle and Its Drop-and-Pull Transport System
by Yanwei Liu, Zhenye Li, Yuzhong Chen and Kegang Zhao
Energies 2020, 13(14), 3632; https://doi.org/10.3390/en13143632 - 14 Jul 2020
Cited by 7 | Viewed by 4351
Abstract
Drop-and-pull transportation can repeatedly utilize tractors with different trailers and reduce costs, carbon emissions, and the number of tractors to purchase and use. Fuel-cell electric vehicles (FCEV) possess high power and long drive endurance. These performance characteristics complement the performance requirements of drop-and-pull [...] Read more.
Drop-and-pull transportation can repeatedly utilize tractors with different trailers and reduce costs, carbon emissions, and the number of tractors to purchase and use. Fuel-cell electric vehicles (FCEV) possess high power and long drive endurance. These performance characteristics complement the performance requirements of drop-and-pull transportation of heavy loads and long mileage. This paper proposes a novel fuel-cell electric articulated vehicle featuring three power sources: fuel cell, power battery, and ultracapacitor. Then, based on the proposed vehicle, we expound on a highly efficient and flexible transport system. To compare economics and durability of fuel-cell electric trailers with two energy sources (i.e., fuel-cell-battery) and three energy sources, we developed and simulated a rule-based energy management strategy under driving conditions. The results indicate that, although similar levels of fuel economy and capacity degradation of the fuel cell occur for the proposed vehicle and its two-energy-source counterpart, the ampere–hour throughput of three-energy-source vehicles was 64% lower than that of two-energy-source vehicles, which indicates the introduction of the ultracapacitor in fuel-cell-battery electric articulated vehicles can offer significant protection to the power battery. This result shows that the three energy sources increase the service life of the energy system. Full article
(This article belongs to the Special Issue Observation and Control of a Fuel Cell System for Electric Vehicle Applications)
►▼ Show Figures

Figure 1

20 pages, 3502 KiB  
Article
Hydrogen Fuel Cell and Ultracapacitor Based Electric Power System Sliding Mode Control: Electric Vehicle Application
by Yuri B. Shtessel, Malek Ghanes and Roshini S. Ashok
Energies 2020, 13(11), 2798; https://doi.org/10.3390/en13112798 - 1 Jun 2020
Cited by 12 | Viewed by 3791
Abstract
Control of a perturbed electric power system comprised of a hydrogen fuel cell (HFC), boost and boost/buck DC–DC power converters, and the ultra-capacitor (UC) is considered within an electric vehicle application. A relative degree approach was applied to control the servomotor speed, which [...] Read more.
Control of a perturbed electric power system comprised of a hydrogen fuel cell (HFC), boost and boost/buck DC–DC power converters, and the ultra-capacitor (UC) is considered within an electric vehicle application. A relative degree approach was applied to control the servomotor speed, which is the main controllable load of the electric car. This control is achieved in the presence of the torque disturbances via directly controlling the armature voltage. The direct voltage control was accomplished by controlling the HFC voltage and the UC current in the presence of the model uncertainties. Controlling the HFC and UC current based on the power balance approach eliminated the non-minimum phase property of the DC–DC boost converter. Conventional first order sliding mode controllers (1-SMC) were employed to control the output voltage of the DC–DC boost power converter and the load current of the UC. The current in HFC and the servomotor speed were controlled by the adaptive-gain second order SMC (2-ASMC). The efficiency and robustness of the HFC/UC-based electric power systems controlled by 1-SMC and 2-ASMC were confirmed on a case study of electric car speed control via computer simulations. Full article
(This article belongs to the Special Issue Observation and Control of a Fuel Cell System for Electric Vehicle Applications)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop