Special Issue "Estimation of the State-of-Charge and State-of-Health of Lithium-Ion Batteries"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "Advanced Energy Materials".

Deadline for manuscript submissions: 29 January 2021.

Special Issue Editor

Dr. Domenico Di Domenico
Website
Guest Editor
IFP Energies Nouvelles, Rond-point de l’échangeur de Solaize, BP 3, 69360 Solaize, France
Interests: control systems engineering; battery management systems; wind energy; automotive engineering; state estimation; optimal control; data-driven control

Special Issue Information

Dear Colleagues,

I would like to invite you to contribute to a Special Issue of Energies on "Estimation of the State-of-Charge and State-of-Health of Lithium-Ion Batteries".

Lithium-ion batteries are unanimously considered to be the standard electric power source for many applications, including electrified vehicles, such as plug-in hybrid electric vehicles (PHEV), electric vehicles (EV), and hybrid electric vehicles (HEV). Accordingly, optimal battery management is a relevant issue in automatic control practice. The Battery Management System (BMS) has to: (1) ensure that the battery is appropriately used when meeting the demand for electrical power; and (2) guarantee feasible and safe operation.

A battery’s energy and power strongly depend on the battery’s state. In particular, the residual energy is related to the cell’s State-of-Charge (SoC) as well as to the battery’s age, and is the reason why the performance of lithium-ion batteries degrades with time and use. As the direct measurement of SoC and State-of-Health (SoH) is unavailable in real-time applications, a key task for the BMS is to provide an accurate estimation of the battery’s state. This is required in order to achieve high battery efficiency, avoid damage, predict the Remaining Useful Life (RUL), and potentially slow the rate of deterioration.

This Special Issue will focus on the analysis, design, implementation, and validation of strategies for the estimation of the state of lithium-ion cells and, more generally, algorithms for the management of lithium-ion batteries. Studies that employ recently developed data-driven approaches will also be welcome.

Dr. Domenico Di Domenico
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 system
  • lithium-ion batteries
  • state estimation
  • battery aging
  • state-of-charge estimation
  • state-of-health estimation
  • remaining useful life prediction
  • data-driven estimation

Published Papers

This special issue is now open for submission.
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