Special Issue "Li-Ion Batteries: Modelling and Control from Manufacturing to Performance Evaluation"

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

Deadline for manuscript submissions: 1 December 2020.

Special Issue Editor

Dr. Dhammika Widanalage
Website
Guest Editor
The University of Warwick, Coventry, United Kingdom
Interests: System Identification; Li-ion Batteries; Reduced-order modelling

Special Issue Information

Dear Colleagues,

We invite you to contribute to this Energies Special Issue on new approaches to modelling and controlling of lithium ion batteries and their applications. The upcoming years are an exciting time for the demand of robust battery models and their applications. Various mathematical models are used to describe and address key challenges facing application of lithium–ion batteries. Multiphysics (electrochemical-thermal-stress) approaches are often utilised in the design optimisation of batteries, improve manufacturing approaches and to predict degradation. Empirical models are typically developed for use with control and systems applications. New research directions are now developed involving reduced-order models and physics-informed machine learning models that builds on the advantages of multiphysics and empirical modelling approaches.

There are several interesting challenges in such approaches, for example, robust parameter estimation schemes, relating model parameters and performance to the manufacturing stages, fast computational approaches, design of experiments for model development and the challenges involved when deploying battery models within the growing application space – battery pack systems in automotive, aerospace and grid applications. This special issue therefore welcomes new research that explores these challenges and will include research papers related to the following topics:

  • Multiphysics, data-driven modelling of Lithium-ion batteries
  • Battery manufacturing and performance prediction
  • Model parameterisation and validation methodologies
  • Degradation modelling, prognostics and diagnostics
  • Experimental characterisation for modelling and simulation
  • State-estimation and optimal control
  • Battery pack and battery management systems
  • Physics-informed machine learning models

Dr. Dhammika Widanalage
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

  • Lithium ion batteries
  • Modelling
  • Control
  • Battery manufacturing
  • Machine-learning

Published Papers (1 paper)

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Review

Open AccessReview
A Review of Pulsed Current Technique for Lithium-ion Batteries
Energies 2020, 13(10), 2458; https://doi.org/10.3390/en13102458 - 13 May 2020
Abstract
Lithium-ion (Li-ion) batteries have been competitive in Electric Vehicles (EVs) due to their high energy density and long lifetime. However, there are still issues, which have to be solved, related to the fast-charging capability of EVs. The pulsed current charging technique is expected [...] Read more.
Lithium-ion (Li-ion) batteries have been competitive in Electric Vehicles (EVs) due to their high energy density and long lifetime. However, there are still issues, which have to be solved, related to the fast-charging capability of EVs. The pulsed current charging technique is expected to improve the lifetime, charging speed, charging/discharging capacity, and the temperature rising of Li-ion batteries. However, the impact of the pulsed current parameters (i.e., frequency, duty cycle, and magnitude) on characteristics of Li-ion batteries has not been fully understood yet. This paper summarizes the existing pulsed current modes, which are positive Pulsed Current Mode (PPC) and its five extended modes, and Negative Pulsed Current (NPC) mode and its three extended modes. An overview of the impact of pulsed current techniques on the performance of Li-ion batteries is presented. Then the main impact factors of the PPC strategy and the NPC strategy are analyzed and discussed. The weight of these impact factors on lifetime, charging speed, charging/discharging capacity, and the temperature rising of batteries is presented, which provides guidance to design advanced charging/discharging strategies as well as to determine future research gaps. Full article
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