Special Issue "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: 15 March 2020.

Special Issue Editor

Guest Editor
Assoc. Prof. Erik Schaltz Website E-Mail
Department of Energy Technology, Aalborg University, DK-9220 Aalborg, Denmark
Interests: power electronics; electric and hybrid electric vehicles; wireless power transfer; batteries; energy storage devices; electro-mobility; thermoelectric generators

Special Issue Information

Dear Colleagues,

The global electric car fleet has now exceeded 5 million and will continue to increase in the future, as electrification is an important means of decreasing the greenhouse gas emissions of the transportation sector.

The energy storage system is a very central component of the electric vehicle. The storage system needs to be cost-competitive, light, efficient, safe, and reliable, and to occupy little space and last for a long time. It should also be produced and disposed of in an environmentally friendly manner. This leaves many research challenges, and the purpose of this Special Issue is therefore to provide a platform for sharing the latest findings on energy storage systems for electric vehicles.

Research in energy storage systems requires several sciences working together, and we therefore welcome contributions from many different disciplines. Topics of interest include but are not limited to the following:

  • Battery-management systems;
  • State-of-charge and state-of-health estimation;
  • Lifetime studies;
  • Thermal-battery-management systems;
  • Thermal energy storage for battery and/or cabin heating;
  • Packaging of battery cells;
  • Emerging battery technologies;
  • Alternative energy storage systems, e.g., hybrid supercapacitor, supercapacitor/battery combinations, etc;
  • Power electronics for energy storage devices;
  • Life cycle analysis;
  • Recycling of batteries.

Assoc. Prof. Erik Schaltz
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 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

  • battery-management systems
  • thermal-battery-management systems
  • state-of-charge
  • state-of-health
  • emerging batteries
  • thermal energy storage
  • life cycle analysis
  • recycling

Published Papers (2 papers)

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Research

Open AccessArticle
SOC and SOH Joint Estimation of the Power Batteries Based on Fuzzy Unscented Kalman Filtering Algorithm
Energies 2019, 12(16), 3122; https://doi.org/10.3390/en12163122 - 14 Aug 2019
Abstract
In order to improve the convergence time and stabilization accuracy of the real-time state estimation of the power batteries for electric vehicles, a fuzzy unscented Kalman filtering algorithm (F-UKF) of a new type is proposed in this paper, with an improved second-order resistor-capacitor [...] Read more.
In order to improve the convergence time and stabilization accuracy of the real-time state estimation of the power batteries for electric vehicles, a fuzzy unscented Kalman filtering algorithm (F-UKF) of a new type is proposed in this paper, with an improved second-order resistor-capacitor (RC) equivalent circuit model established and an online parameter identification used by Bayes. Ohmic resistance is treated as a battery state of health (SOH) characteristic parameter, F-UKF algorithms are used for the joint estimation of battery state of charge (SOC) and SOH. The experimental data obtained from the ITS5300-based battery test platform are adopted for the simulation verification under discharge conditions with constant-current pulses and urban dynamometer driving schedule (UDDS) conditions in the MATLAB environment. The experimental results show that the F-UKF algorithm is insensitive to the initial value of the SOC under discharge conditions with constant-current pulses, and the SOC and SOH estimation accuracy under UDDS conditions reaches 1.76% and 1.61%, respectively, with the corresponding convergence time of 120 and 140 s, which proves the superiority of the joint estimation algorithm. Full article
(This article belongs to the Special Issue Energy Storage Systems for Electric Vehicles)
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Open AccessFeature PaperArticle
Butyronitrile-Based Electrolytes for Fast Charging of Lithium-Ion Batteries
Energies 2019, 12(15), 2869; https://doi.org/10.3390/en12152869 - 25 Jul 2019
Abstract
After determining the optimum composition of the butyronitrile: ethylene carbonate: fluoroethylene carbonate (BN:EC:FEC) solvent/co-solvent/additive mixture, the resulting electrolyte formulation (1M LiPF6 in BN:EC (9:1) + 3% FEC) was evaluated in terms of ionic conductivity and the electrochemical stability window, as well as [...] Read more.
After determining the optimum composition of the butyronitrile: ethylene carbonate: fluoroethylene carbonate (BN:EC:FEC) solvent/co-solvent/additive mixture, the resulting electrolyte formulation (1M LiPF6 in BN:EC (9:1) + 3% FEC) was evaluated in terms of ionic conductivity and the electrochemical stability window, as well as galvanostatic cycling performance in NMC/graphite cells. This cell chemistry results in remarkable fast charging, required, for instance, for automotive applications. In addition, a good long-term cycling behavior lasts for 1000 charge/discharge cycles and improved ionic conductivity compared to the benchmark counterpart was achieved. XPS sputter depth profiling analysis proved the beneficial behavior of the tuned BN-based electrolyte on the graphite surface, by confirming the formation of an effective solid electrolyte interphase (SEI). Full article
(This article belongs to the Special Issue Energy Storage Systems for Electric Vehicles)
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