Investigation of the Suitability of the DTV Method for the Online SoH Estimation of NMC Lithium-Ion Cells in Battery Management Systems
Investigating the temperature behavior of lithium-ion battery cells has become an important part of today’s research and development. The main reason for this is that the temperature profile of a battery cell changes during aging. By using Differential Thermal Voltammetry (DTV), new possibilities ar...
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MDPI AG
2025-01-01
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author | Jan Neunzling Philipp Hainke Hanno Winter David Henriques Matthias Fleckenstein Torsten Markus |
author_facet | Jan Neunzling Philipp Hainke Hanno Winter David Henriques Matthias Fleckenstein Torsten Markus |
author_sort | Jan Neunzling |
collection | DOAJ |
description | Investigating the temperature behavior of lithium-ion battery cells has become an important part of today’s research and development. The main reason for this is that the temperature profile of a battery cell changes during aging. By using Differential Thermal Voltammetry (DTV), new possibilities are opened up, especially since this diagnostic method is designed to work in operando by only requiring voltage and temperature readings. In this study, a batch of NMC-21700 cells were aged in calendar and cyclic manners. After a specified aging cycle was complete, a check-up measurement was performed. During this time, the cycler collected the electrical measuring values, while a negative temperature coefficient thermistor, which was located on the cell, was used to record the temperature fluctuations. The data were then evaluated by using the DTV analysis technique. By comparing the characteristic points of DTV, correlations between the changing curve characteristics and the capacity loss, and therefore the aging of the respective cell, were established. Based on these results, a simple model suitable for online State of Health (SoH) is derived and validated, showing an estimation accuracy of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.1</mn></mrow></semantics></math></inline-formula>%. |
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institution | Kabale University |
issn | 2313-0105 |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
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series | Batteries |
spelling | doaj-art-7f8f58ddfd1047a2a609779587da50fc2025-01-24T13:22:27ZengMDPI AGBatteries2313-01052025-01-011112510.3390/batteries11010025Investigation of the Suitability of the DTV Method for the Online SoH Estimation of NMC Lithium-Ion Cells in Battery Management SystemsJan Neunzling0Philipp Hainke1Hanno Winter2David Henriques3Matthias Fleckenstein4Torsten Markus5BorgWarner Battery Systems Technical Center GmbH, Kleyerstraße 20, 64295 Darmstadt, GermanyBorgWarner Battery Systems Technical Center GmbH, Kleyerstraße 20, 64295 Darmstadt, GermanyBorgWarner Battery Systems Technical Center GmbH, Kleyerstraße 20, 64295 Darmstadt, GermanyInstitute for Materials Science and Engineering (IMaSE), Hochschule Mannheim, Paul-Wittsack-Straße 10, 68163 Mannheim, GermanyBorgWarner Battery Systems Technical Center GmbH, Kleyerstraße 20, 64295 Darmstadt, GermanyInstitute for Materials Science and Engineering (IMaSE), Hochschule Mannheim, Paul-Wittsack-Straße 10, 68163 Mannheim, GermanyInvestigating the temperature behavior of lithium-ion battery cells has become an important part of today’s research and development. The main reason for this is that the temperature profile of a battery cell changes during aging. By using Differential Thermal Voltammetry (DTV), new possibilities are opened up, especially since this diagnostic method is designed to work in operando by only requiring voltage and temperature readings. In this study, a batch of NMC-21700 cells were aged in calendar and cyclic manners. After a specified aging cycle was complete, a check-up measurement was performed. During this time, the cycler collected the electrical measuring values, while a negative temperature coefficient thermistor, which was located on the cell, was used to record the temperature fluctuations. The data were then evaluated by using the DTV analysis technique. By comparing the characteristic points of DTV, correlations between the changing curve characteristics and the capacity loss, and therefore the aging of the respective cell, were established. Based on these results, a simple model suitable for online State of Health (SoH) is derived and validated, showing an estimation accuracy of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.1</mn></mrow></semantics></math></inline-formula>%.https://www.mdpi.com/2313-0105/11/1/25State of Health (SoH)differential thermal voltammetry (DTV)in operandoNMC21700least squares method (LSM) |
spellingShingle | Jan Neunzling Philipp Hainke Hanno Winter David Henriques Matthias Fleckenstein Torsten Markus Investigation of the Suitability of the DTV Method for the Online SoH Estimation of NMC Lithium-Ion Cells in Battery Management Systems Batteries State of Health (SoH) differential thermal voltammetry (DTV) in operando NMC 21700 least squares method (LSM) |
title | Investigation of the Suitability of the DTV Method for the Online SoH Estimation of NMC Lithium-Ion Cells in Battery Management Systems |
title_full | Investigation of the Suitability of the DTV Method for the Online SoH Estimation of NMC Lithium-Ion Cells in Battery Management Systems |
title_fullStr | Investigation of the Suitability of the DTV Method for the Online SoH Estimation of NMC Lithium-Ion Cells in Battery Management Systems |
title_full_unstemmed | Investigation of the Suitability of the DTV Method for the Online SoH Estimation of NMC Lithium-Ion Cells in Battery Management Systems |
title_short | Investigation of the Suitability of the DTV Method for the Online SoH Estimation of NMC Lithium-Ion Cells in Battery Management Systems |
title_sort | investigation of the suitability of the dtv method for the online soh estimation of nmc lithium ion cells in battery management systems |
topic | State of Health (SoH) differential thermal voltammetry (DTV) in operando NMC 21700 least squares method (LSM) |
url | https://www.mdpi.com/2313-0105/11/1/25 |
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