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Energies
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Smart Energy Management and Power Electronic Systems
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Smart Energy Management and Power Electronic Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F3: Power Electronics".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 9007

Special Issue Editor

Dr. Kambiz Tehrani

E-Mail Website
Guest Editor
Department of Energy and Control, Normandy University, 76821 Rouen, France
Interests: power systems; energy; power electronics; renewable energy; smart grids and microgrids; cyber–physical energy systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are organizing a Special Issue that may be of interest to you. As a Guest Editor, I cordially invite you to submit a manuscript for consideration and possible publication in a Special Issue on “Smart Energy Management and Power Electronic Systems.” In it, we are aiming to present the most recent and interesting advances on the topic, including new research, new innovations, and new tools and devices for industrial applications. 

The Special Issue brings together the following themes:

  • Smart energy management for smart grids, micro grids, and nano grids
  • Smart control against cyber-attacks in power electronic systems
  • Smart power devices
  • Smart converters
  • Intelligent energy control and monitoring in buildings and in public lighting
  • Intelligent energy management for renewable energy
  • Smart energy management for electric vehicles
Smart energy management for electric vehicles

Dr. Kambiz Tehrani
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.

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

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14 pages, 16944 KiB  
Article
A Fault Diagnosis Design Based on Deep Learning Approach for Electric Vehicle Applications
by Halid Kaplan, Kambiz Tehrani and Mo Jamshidi
Energies 2021, 14(20), 6599; https://doi.org/10.3390/en14206599 - 13 Oct 2021
Cited by 42 | Viewed by 4125
Abstract
Diagnosing faults in electric vehicles (EVs) is a great challenge. The purpose of this paper is to demonstrate the detection of faults in an electromechanical conversion chain for conventional or autonomous EVs. The information and data coming from different sensors make it possible [...] Read more.
Diagnosing faults in electric vehicles (EVs) is a great challenge. The purpose of this paper is to demonstrate the detection of faults in an electromechanical conversion chain for conventional or autonomous EVs. The information and data coming from different sensors make it possible for EVs to recover a series of information including currents, voltages, speeds, and so on. This information is processed to detect any faults in the electromechanical conversion chain. The novelty of this study is to develop an architecture for a fault diagnosis model by means of the feature extraction technique. In this regard, the long short-term memory (LSTM) approach for the fault diagnosis is proposed. This approach has been tested for an EV prototype in practice, is superior in accuracy over other fault diagnosis techniques, and is based on machine learning. An EV in an urban context is modeled, and then the fault diagnosis approach is applied based on deep learning architectures. The EV and the fault diagnosis model is simulated in Matlab software. It is also revealed how deep learning contributes to the fault diagnosis of EVs. The simulation and practical results confirm that higher accuracy in the fault diagnosis is obtained by applying the LSTM. Full article
(This article belongs to the Special Issue Smart Energy Management and Power Electronic Systems)
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Review

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20 pages, 14267 KiB  
Review
Important Technical Considerations in Design of Battery Chargers of Electric Vehicles
by Mahdi Bayati, Mehrdad Abedi, Maryam Farahmandrad, Gevork B. Gharehpetian and Kambiz Tehrani
Energies 2021, 14(18), 5878; https://doi.org/10.3390/en14185878 - 17 Sep 2021
Cited by 17 | Viewed by 3590
Abstract
There are many important trade-offs and constraints on cost, volume, weight, conduction losses, switching losses, microcontrollers, isolation, voltage and current levels, voltage and current ripples, battery specifications, charging–discharging algorithms, control system, switch gate drivers, and efficiency of battery chargers in electric vehicles. In [...] Read more.
There are many important trade-offs and constraints on cost, volume, weight, conduction losses, switching losses, microcontrollers, isolation, voltage and current levels, voltage and current ripples, battery specifications, charging–discharging algorithms, control system, switch gate drivers, and efficiency of battery chargers in electric vehicles. In this paper, a well-known power electronic topology commonly used in recent relevant studies is considered, and some important technical considerations with regard to the mentioned trade-offs and constraints are discussed in detail for the first time. The discussion concerns the practical and theoretical experiences in implementation of battery chargers and charging stations of electric vehicles exclusively, and it can be extended to various other power electronic topologies. Full article
(This article belongs to the Special Issue Smart Energy Management and Power Electronic Systems)
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