Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.7
3.5
Journals
Processes
Special Issues
Monitoring and Simulation for Battery System
share announcement

Monitoring and Simulation for Battery System

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: closed (15 July 2021) | Viewed by 7661

Special Issue Editors

Dr. Carlos Fernandez

E-Mail Website
Guest Editor
School of Pharmacy and Life Sciences, Robert Gordon University, Aberdeen AB107GJ, UK
Interests: nanomaterials; graphene and graphene-based compounds; energy storage devices; 2D materials; functional materials; sensors; environmental and pharmaceutical devices
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Shunli Wang

E-Mail Website
Guest Editor
School of Information Engineering, Southwest University of Science and Technology, Mianyang 621000, China
Interests: lithium battery modeling; state estimation; battery balancing; battery management system; new energy system
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the drive towards a low carbon future, improved energy storage, in particular batteries, is one of the major global challenges facing society today. Lithium-ion batteries (LiIBs) are the preferred choice for home and portable electronics, battery electric vehicles and aerospace applications due to their high energy density and low self-discharge. However, there are also associated risks to them.

Lithium-ion battery packs are the predominant energy storage systems in aircraft, electric vehicles, portable devices and other equipment requiring a reliable, high-energy-density, low-weight power source. The battery management system (BMS) is an electronic system responsible for safe operation, performance and battery life under charge–discharge cycles. Devices to monitor and simulate battery systems have attracted a lot of interest over the last two decades.

In this Special Issue, we will be looking at new models for simulation to develop safer and stronger batteries.

Dr. Carlos Fernandez
Prof. Dr. Shunli Wang
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. Processes is an international peer-reviewed open access monthly 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

  • battery management system (BMS)
  • state-of-charge
  • state-of-health
  • temperature
  • cell voltage
  • Kalman filter
  • power state evaluation
  • multi-parameter optimisation
  • data modelling
  • simulation
  • batteries

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 4666 KiB  
Article
A Novel Autoregressive Rainflow—Integrated Moving Average Modeling Method for the Accurate State of Health Prediction of Lithium-Ion Batteries
by Junhan Huang, Shunli Wang, Wenhua Xu, Weihao Shi and Carlos Fernandez
Processes 2021, 9(5), 795; https://doi.org/10.3390/pr9050795 - 30 Apr 2021
Cited by 8 | Viewed by 2214
Abstract
The accurate estimation and prediction of lithium-ion battery state of health are one of the important core technologies of the battery management system, and are also the key to extending battery life. However, it is difficult to track state of health in real-time [...] Read more.
The accurate estimation and prediction of lithium-ion battery state of health are one of the important core technologies of the battery management system, and are also the key to extending battery life. However, it is difficult to track state of health in real-time to predict and improve accuracy. This article selects the ternary lithium-ion battery as the research object. Based on the cycle method and data-driven idea, the improved rain flow counting algorithm is combined with the autoregressive integrated moving average model prediction model to propose a new prediction for the battery state of health method. Experiments are carried out with dynamic stress test and cycle conditions, and a confidence interval method is proposed to fit the error range. Compared with the actual value, the method proposed in this paper has a maximum error of 5.3160% under dynamic stress test conditions, a maximum error of 5.4517% when the state of charge of the cyclic conditions is used as a sample, and a maximum error of 0.7949% when the state of health under cyclic conditions is used as a sample. Full article
(This article belongs to the Special Issue Monitoring and Simulation for Battery System)
►▼ Show Figures

Figure 1

16 pages, 3040 KiB  
Article
Numerical Modeling and Analysis of the Performance of an Aluminum-Air Battery with Alkaline Electrolyte
by Jiadong Xie, Pan He, Ruijie Zhao and Jianhong Yang
Processes 2020, 8(6), 658; https://doi.org/10.3390/pr8060658 - 01 Jun 2020
Cited by 6 | Viewed by 3339
Abstract
A numerical model is created to simulate the discharge performance of aluminum-air batteries (AABs) with alkaline electrolyte. The discharge voltage and power density, as a function of the discharge current density, are predicted for the modeled AAB and compared with experimental measurements. A [...] Read more.
A numerical model is created to simulate the discharge performance of aluminum-air batteries (AABs) with alkaline electrolyte. The discharge voltage and power density, as a function of the discharge current density, are predicted for the modeled AAB and compared with experimental measurements. A good agreement between model and experiment is found. The effect of various model parameters on the battery performance is studied by adjusting the parameters within a suitable range. The results show that electrolyte thickness is a key factor that can strongly increase the power density and the corresponding current density as the electrolyte thickness decreases. The peak of power density is increased by a factor of two if the electrolyte thickness is reduced from 7 mm to 3 mm. The alkaline concentration is also an important factor, since both the voltage and power density curves are significantly raised as the NaOH concentration is increased from 1 to 4 mol/L. The partial oxygen pressure plays a secondary role in performance improvement. The peak of power density is increased by 35% using pure oxygen in the air electrode. In addition, the active specific surface area of the catalyst layer also affects the discharge capability of the AAB system. Full article
(This article belongs to the Special Issue Monitoring and Simulation for Battery System)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop