Thermoelectricity and Energy Transfer

A special issue of Batteries (ISSN 2313-0105).

Deadline for manuscript submissions: closed (28 January 2022) | Viewed by 3694

Special Issue Editor


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Guest Editor
Department of Electrical Engineering and Computer Science, Room 202, A. J. Bond Hall, Alabama A&M University, Normal, AL 35762, USA
Interests: thermoelectric materials; semiconductor materials; magnetic materials; nano and microstructures

Special Issue Information

Dear Colleagues,

This issue aims to collect studies performed on thermoelectric materials and devices from different types of structures, including nanostructured materials and bulk materials. Since thermal treatment and high energy beam modify thermoelectric devices, causing quantum dot formation in the quantum layers, many remarkable results can be reached after those effects. Nanostructured systems may include but are not limited to single nanolayers, multilayer heterostructures, superlattice systems, etc. Different kinds of material systems may be selected from the periodic table for different purposes of applications at different temperatures and environmental conditions. Authors are invited to share their manuscripts prepared using different material systems and their results from different characterization techniques. Those techniques may include but are not limited to the Seebeck coefficient measurement, four probe van der Pauw resistivity systems, thermal conductivity measurements, different kinds of optical and electrical measurements systems such as SEM, TEM, FIB, XPS, Auger, NMR, Optical Absorption, FTIR, Raman, DSC, etc. At present, energy storage is also promising. Some studies including thin film solid state batteries with and without thermoelectric devices are also welcome to be submitted. Thermoelectric characterization techniques such as the Seebeck coefficient, electrical conductivity, and thermal conductivity measurement s could include in-plane and cross-plane measurements. Since the figure of merit, ZT, can be found using the Seebeck coefficient, electrical conductivity, and thermal conductivity measurement, in-plane ZT and cross-plane ZT results might be interesting in different application areas, from microlevel applications to electrical vehicle applications.

Prof. Dr. Satilmis Budak
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 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. Batteries is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • nanostructured thermoelectric systems
  • bulk thermoelectric systems
  • figure of merit
  • optical measurements
  • thermal treatment
  • high-energy beam modification
  • energy storage
  • thin solid film batteries
  • in-plane and cross-plane thermoelectric parameters
  • quantum dot/quantum layer structures.

Published Papers (1 paper)

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Research

21 pages, 4716 KiB  
Article
Thermal Analysis of LMO/Graphite Batteries Using Equivalent Circuit Models
by Nadjiba Mahfoudi, M’hamed Boutaous, Shihe Xin and Serge Buathier
Batteries 2021, 7(3), 58; https://doi.org/10.3390/batteries7030058 - 27 Aug 2021
Cited by 4 | Viewed by 3087
Abstract
An efficient thermal management system (TMS) of electric vehicles requires a high-fidelity battery model. The model should be able to predict the electro-thermal behavior of the battery, considering the operating conditions throughout the battery’s lifespan. In addition, the model should be easy to [...] Read more.
An efficient thermal management system (TMS) of electric vehicles requires a high-fidelity battery model. The model should be able to predict the electro-thermal behavior of the battery, considering the operating conditions throughout the battery’s lifespan. In addition, the model should be easy to handle for the online monitoring and control of the TMS. Equivalent circuit models (ECMs) are widely used because of their simplicity and suitable performance. In this paper, the electro-thermal behavior of a prismatic 50 Ah LMO/Graphite cell is investigated. A dynamic model is adopted to describe the battery voltage, current, and heat generation. The battery model parameters are identified for a single cell, considering their evolution versus the state of charge and temperature. The needed experimental data are issued from the measurements carried out, thanks to a special custom electrical bench able to impose a predefined current evolution or driving cycles, controllable by serial interface. The proposed battery parameters, functions of state of charge (SOC), and temperature (T) constitute a set of interesting and complete data, not available in the literature, and suitable for further investigations. The thermal behavior and the dynamic models are validated using the New European Driving Cycle (NEDC), with a large operating time, higher than 3 h. The measurement and model prediction exhibit a temperature difference less than 1.2 °C and a voltage deviation less than 3%, showing that the proposed model accurately predicts current, voltage, and temperature. The combined effects of temperature and SOC provides a more efficient modeling of the cell behavior. Nevertheless, the simplified model with only temperature dependency remains acceptable. Hence, the present modeling constitutes a confident prediction and a real step for an online control of the complete thermal management of electrical vehicles. Full article
(This article belongs to the Special Issue Thermoelectricity and Energy Transfer)
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