Special Issue "Hybrid Energy Storage Systems for Electric Vehicles"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "Electric Vehicles".

Deadline for manuscript submissions: 31 December 2019.

Special Issue Editors

Prof. Dr. Rui Esteves Araújo
E-Mail Website
Guest Editor
INESC TEC and Faculty of Engineering, University of Porto, Porto, Portugal
Interests: electric vehicles; energy management; hybrid energy storage systems; power electronics, motor drives; control systems, wind turbines; PV systems; fault detection and diagnosis; fault-tolerant control
Dr. Ricardo De Castro
E-Mail Website
Guest Editor
Institute of System Dynamics and Control, German Aerospace Center (DLR), Germany
Interests: electric mobility; hybrid energy storage systems; energy management; optimal control; vehicle dynamics and control
Dr. Cláudio Pinto
E-Mail Website
Guest Editor
INESC TEC and Faculty of Engineering, University of Porto, Porto, Portugal
Interests: hybrid energy storage systems; li-ion battery; supercapacitor; active battery balance systems; optimal control; battery thermal balance; electric vehicles; energy storage sizing

Special Issue Information

Dear Colleagues,

Over the last few years, electric vehicles (EVs) have been gaining traction and acceptance in the automobile market, as demonstrated by an increase in the number of electric mobility solutions being introduced by vehicle manufacturers. Part of this success is due to recent advances made in battery technology, which have led to the higher range (kilometers per charge) and better affordability of EVs. Despite this progress, battery-based EVs are still unable to match the performance and lower cost offered by vehicles with internal combustion engines. Further research is required to close the gap; one promising research line focuses on designing EVs with multiple energy storage units, such as batteries-supercapacitors, batteries with different chemistries (high-power and high-energy), batteries-fuel cells, etc. Because of their higher energy efficiency, reliability, and reduced degradation, these hybrid energy storage units (HESS) have shown the potential to lower the vehicle’s total costs of ownership. For instance, the controlled aging of batteries offered by HESS can increase their economic value in second-life applications (such as grid support).

This Special Issue encourages researchers working in this field to share their latest developments on HESS for electric vehicles. We welcome application-of-use cases, state-of-the-art reviews and benchmarking studies—e.g., the evaluation and comparison of different energy management methods. Our aim is to bring together innovative contributions covering (but not limited to):

- Design, system engineering, and field applications of HESS in road vehicles (cars, trucks, buses);

- Multiphysics modeling, simulation, and testing;

- Combined sizing and energy management of HESS;

- Power electronic architectures for HESS;

- Solid-state battery technology;

- Machine learning, big data, and cloud computing in HESS applications;

- Real-time energy management methodologies, including predictive strategies for optimal energy management;

- Monitoring and predictive maintenance of HESS;

- V2G and V2V functionalities and integration of HESS in smart grids;

- Life cycle analysis, including re-use of HESS in second life applications.

Prof. Dr. Rui Esteves Araújo
Dr. Ricardo de Castro
Dr. Cláudio Pinto
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 papers will be 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 1800 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

  • electric vehicles
  • battery
  • supercapacitor
  • fuel cells
  • hybrid energy storage system
  • energy management
  • optimal control
  • optimal energy management
  • energy storage system sizing
  • real-time optimal power management
  • real-time optimization
  • rule-based and machine learning methods

Published Papers (1 paper)

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Research

Open AccessArticle
Modelling and Design of Real-Time Energy Management Systems for Fuel Cell/Battery Electric Vehicles
Energies 2019, 12(22), 4260; https://doi.org/10.3390/en12224260 - 08 Nov 2019
Abstract
Modelling and design of real-time energy management systems for optimising the operating costs of a fuel cell/battery electric vehicle are presented in this paper. The proposed energy management system consists of optimally sharing the propulsion power demand between the fuel cell and battery [...] Read more.
Modelling and design of real-time energy management systems for optimising the operating costs of a fuel cell/battery electric vehicle are presented in this paper. The proposed energy management system consists of optimally sharing the propulsion power demand between the fuel cell and battery by enabling them to support each other for operating cost minimisation. The optimisation is achieved through real-time minimisation of a cost function, which accounts for fuel cell and battery degradation, hydrogen consumption and charge sustaining costs. A detailed analysis of each term of the overall cost function is performed and presented, which enables the development of a real-time, advanced energy management system for improving a previously presented simplified version using more accurate modelling and by considering cost function minimisation over a given time horizon. The performance of the proposed advanced energy management system are verified through numerical simulations over different driving cycles; particularly, simulations were performed in MATLAB-Simulink by considering a hysteresis-based energy management system and both simplified and advanced versions of the proposed energy management system for comparison. Full article
(This article belongs to the Special Issue Hybrid Energy Storage Systems for Electric Vehicles)
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