Mechanische Alterungsdetektion in Lithium-Batterien/Mechanical Aging Detection in Batteries

Table of contents

Bibliographic information


Cover of Volume: wt Werkstattstechnik online Volume 115 (2025), Issue 07-08
Open Access Full access

wt Werkstattstechnik online

Volume 115 (2025), Issue 07-08


Authors:
Publisher
VDI fachmedien, Düsseldorf
Copyright Year
2025
ISSN-Online
1436-4980
ISSN-Print
1436-4980

Chapter information


Open Access Full access

Volume 115 (2025), Issue 07-08

Mechanische Alterungsdetektion in Lithium-Batterien/Mechanical Aging Detection in Batteries


Authors:
ISSN-Print
1436-4980
ISSN-Online
1436-4980


Preview:

The assessment of battery condition, from the overall system to the cell level, remains a challenge, particularly outside the laboratory environment. The aging mechanisms occurring within the cell are intricately superimposed, making a clear identification of their causes difficult. In addition to electrical characterization methods, mechanical approaches offer promising opportunities to unlock previously untapped potential for enhancing data availability and transparency.

Bibliography


  1. [1] König, A.; Nicoletti, L.; Schröder, D. et al.: An Overview of Parameter and Cost for Battery Electric Vehicles. World Electric Vehicle Journal 12 (2021) 1, S. 21 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  2. [2] Suttakul, P.; Wongsapai, W.; Fongsamootr, T. et al.: Total cost of ownership of internal combustion engine and electric vehicles: A real-world comparison for the case of Thailand. Energy Reports 8 (2022), S. 545–553 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  3. [3] Paarmann, S.; Schreiber, M.; Chahbaz, A. et al.: Short‐Term Tests, Long‐Term Predictions – Accelerating Ageing Characterisation of Lithium‐Ion Batteries. Batteries & Supercaps 7 (2024) 11 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  4. [4] Menye, J. S.; Camara, M.-B.; Dakyo, B.: Lithium Battery Degradation and Failure Mechanisms: A State-of-the-Art Review. Energies 18 (2025) 2, S. 342 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  5. [5] Clerici, D.; Martelli, S.; Mocera, F. et al.: Mechanical characterization of lithium-ion batteries with different chemistries and formats. Journal of Energy Storage 84 (2024), S. 110899 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  6. [6] Popp, H.; Koller, M.; Jahn, M. et al.: Mechanical methods for state determination of Lithium-Ion secondary batteries: A review. Journal of Energy Storage 32 (2020), S. 101859 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  7. [7] Ponomareva, A.: Battery Management System (BMS): Effective Ways to Measure State-of-Charge and State-of-Health. Medium (2021) Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  8. [8] Hu, X.; Feng, F.; Liu, K. et al.: State estimation for advanced battery management: Key challenges and future trends. Renewable and Sustainable Energy Reviews 114 (2019), S. 109334 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  9. [9] S, V.; Che, H. S.; Selvaraj, J. et al.: State of Health (SoH) estimation methods for second life lithium-ion battery—Review and challenges. Applied Energy 369 (2024), S. 123542 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  10. [10] Han, X.; Lu, L.; Zheng, Y. et al.: A review on the key issues of the lithium ion battery degradation among the whole life cycle. eTransportation 1 (2019), S. 100005 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  11. [11] Zhuo, M.; Offer, G.; Marinescu, M.: Degradation model of high-nickel positive electrodes: Effects of loss of active material and cyclable lithium on capacity fade. Journal of Power Sources 556 (2023), S. 232461 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  12. [12] Birkl, C. R.; Roberts, M. R.; McTurk, E. et al.: Degradation diagnostics for lithium ion cells. Journal of Power Sources 341 (2017), S. 373–386 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  13. [13] Lin, X.; Khosravinia, K.; Hu, X. et al.: Lithium Plating Mechanism, Detection, and Mitigation in Lithium-Ion Batteries. Progress in Energy and Combustion Science 87 (2021), S. 100953 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  14. [14] Adenusi, H.; Chass, G. A.; Passerini, S. et al.: Lithium Batteries and the Solid Electrolyte Interphase (SEI)—Progress and Outlook. Advanced Energy Materials 13 (2023) 10 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  15. [15] Su, L.; Xu, Y.; Dong, Z.: State‐of‐health estimation of lithium‐ion batteries: A comprehensive literature review from cell to pack levels. Energy Conversion and Economics 5 (2024) 4, S. 224–242 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  16. [16] Gervillié-Mouravieff, C.; Bao, W.; Steingart, D. A. et al.: Non-destructive characterization techniques for battery performance and life-cycle assessment. Nature Reviews Electrical Engineering 1 (2024) 8, S. 547–558 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  17. [17] Orcioni, S.; Buccolini, L.; Ricci, A. et al.: Lithium-ion Battery Electrothermal Model, Parameter Estimation, and Simulation Environment. Energies 10 (2017) 3, S. 375 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  18. [18] Pozzato, G.; Allam, A.; Pulvirenti, L. et al.: Analysis and key findings from real-world electric vehicle field data. Joule 7 (2023) 9, S. 2035–2053 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  19. [19] Yuan, Q.; Hao, W.; Su, H. et al.: Investigation on Range Anxiety and Safety Buffer of Battery Electric Vehicle Drivers. Journal of Advanced Transportation 2018 (2018), S. 1–11 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  20. [20] Zhao, J.; Feng, X.; Tran, M.-K. et al.: Battery safety: Fault diagnosis from laboratory to real world. Journal of Power Sources 598 (2024), S. 234111 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  21. [21] Wang, S.; Ren, D.; Xu, C. et al.: Lithium plating induced volume expansion overshoot of lithium-ion batteries: Experimental analysis and modeling. Journal of Power Sources 593 (2024), S. 233946 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  22. [22] Louli, A. J.; Ellis, L. D.; Dahn, J. R.: Operando Pressure Measurements Reveal Solid Electrolyte Interphase Growth to Rank Li-Ion Cell Performance. Joule 3 (2019) 3, S. 745–761 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  23. [23] Proff, H.; Bowman, K.; Robinson, R. et al.: 2024 Global Automotive Consumer Study. Key Findings: Global Focus Countries (2024), S. 1–26 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  24. [24] Deutsche Automobil Treuhand GmbH: DAT Report 025 | Kurzbericht. 2025 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  25. [25] Sieg, J.; Schmid, A. U.; Rau, L. et al.: Fast-charging capability of lithium-ion cells: Influence of electrode aging and electrolyte consumption. Applied Energy 305 (2022), S. 117747 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  26. [26] Aviloo GmbH: Erstmalige Messung der Batteriedegradation in Abhängigkeit zum Schnellladeanteil. 29.03.2023 Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26
  27. [27] Hackmann, M.; Knörzer, H.; Peuffer, J. et al.: Battery aging in practice: Analysis of over 7,000 vehicles provide deep insights into battery life and vehicle residual value (2024) Open Google Scholar DOI: 10.37544/1436-4980-2025-07-08-26

Citation


Download RIS Download BibTex