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Electronics
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Advanced Battery Technologies: New Applications and Management Systems, Volume II
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Advanced Battery Technologies: New Applications and Management Systems, Volume II

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 3091

Special Issue Editors

Dr. David Anseán

E-Mail Website
Guest Editor
Department of Electrical Engineering, University of Oviedo, 33204 Gijón, Spain
Interests: lithium-ion battery testing and characterization; lithium-ion battery degradation mechanisms via non-invasive methods; incremental capacity and peak area analyses; mechanistic battery modeling; battery lithium plating; battery fast charging; battery diagnosis and prognosis; battery state of charge and state of health determination methods
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Manuela González

E-Mail Website
Guest Editor
Electrical and Electronics Engineering Department, University of Oviedo, Campus de Gijón, Edificio 3, 33204 Gijón, Spain
Interests: Li-ion battery technologies; battery management systems (BMS); battery fast-charging; battery diagnosis and prognosis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the high performance of new battery technologies combined with the continuous improvement of their cost-competitiveness have been key to the development of an exciting range of applications in both commercial and industrial fields. Some examples of the broad spectrum of battery applications include: biomedical devices and portable electronics (cell phones and laptops, power tools, drones and electronic instrumentation), sustainable transportation (electric and hybrid aircraft, land and water vehicles) and stationary applications (smart grids, energy storage from renewable energy generation, telecommunications and uninterruptible power supplies).

However, battery systems are complex and still face problems mainly related to degradation, safety and management. The diagnosis of battery status (State-of-Charge and State-of-Heath) is necessary to determine the optimal charging/discharging strategy, avoiding hazardous operation conditions and extending battery life. Other main issue is the minimization of recharging time, which requires the implementation of reliable and efficient fast-charge methods. Therefore, the successful development of new applications with advanced battery technologies is only possible with a parallel development of electronic circuits dedicated to battery protection and management.

The main aim of this Special Issue is to seek high-quality submissions that highlight emerging applications with advanced battery technologies, address recent breakthroughs in the design of Battery Management Systems (BMS), efficient battery fast-chargers, smart batteries, and integration of Battery Energy Storage Systems (BESS) in electromobility and stationary applications.
The topics of interest include, but are not limited to:

  • Disruptive Battery Technologies
  • Advanced Battery Management Systems (BMS)
  • Efficient Battery Fast-Chargers
  • Smart Batteries with New Functionalities
  • Innovative Control Strategies for Battery Energy Storage Systems (BESS): Electromobility and Stationary Applications

Prof. Dr. David Anseán
Prof. Dr. Manuela González
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 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. Electronics 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 2400 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

  • Disruptive Battery Technologies
  • Advanced Battery Management Systems (BMS)
  • Efficient Battery Fast-Chargers
  • Smart Batteries with New Functionalities
  • Innovative Control Strategies for Battery Energy Storage Systems (BESS): Electromobility and Stationary Applications

Published Papers (1 paper)

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Research

15 pages, 4499 KiB  
Article
Study on Co-Estimation of SoC and SoH for Second-Use Lithium-Ion Power Batteries
by Nan Jiang and Hui Pang
Electronics 2022, 11(11), 1789; https://doi.org/10.3390/electronics11111789 - 05 Jun 2022
Cited by 8 | Viewed by 2471
Abstract
Lithium-ion batteries are an ideal power supplier for electric vehicles (EVs) due to their high-power density and wide operating voltage, but their performance decays to 80% before retirement from EVs. Nevertheless, they still have a particular use value after decommissioning, so recycling the [...] Read more.
Lithium-ion batteries are an ideal power supplier for electric vehicles (EVs) due to their high-power density and wide operating voltage, but their performance decays to 80% before retirement from EVs. Nevertheless, they still have a particular use value after decommissioning, so recycling the retired power battery in cascade can be considered. Therefore, accurate estimation of battery state-of-charge (SoC) and state-of-health (SoH) is crucial for extending the service life and echelon utilization of power lithium-ion battery packs. This paper proposes a comprehensive co-estimation scheme of battery SoC/SoH for the second-use of lithium-ion power batteries in EVs under different cycles using an adaptive extended Kalman filter (AEKF). First, according to the collected battery test data at different aging cycle levels, the external battery characteristics are analyzed, and then a cycle-dependent equivalent circuit model (cECM) is built up. Next, the parameter estimation of this battery model is performed via a recursive least square (RLS) algorithm. Meanwhile, the variations in internal battery parameters of the cycle numbers are fitted and synthesized. Moreover, validation of the estimated parameters is further carried out. Based on this enhanced battery model, the AEKF algorithm is utilized to fulfill battery SoC/SoH estimation simultaneously. The estimated results of SoC/SoH are obtained for a LiCoO2 cell in the case of CCC (constant current condition) under different cycle times. The results show that this proposed co-estimation scheme can predict battery SoC and SoH well, wherein the peak values of the SoC errors are less than 2.2%, and the peak values of SoH, calculated by the estimated capacity and internal resistance, are less than 1.7% and 2.2%, respectively. Hence, this has important guiding significance for realizing the cascade utilization of lithium-ion power batteries. Full article
(This article belongs to the Special Issue Advanced Battery Technologies: New Applications and Management Systems, Volume II)
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