Review of the Software Algorithm for Diagnosing the Residual Life of Lithium-Ion Batteries of Traction Rolling Stock

Pavel V. Borisov; Aleksandr Vorob&#039;ev

doi:10.20295/1815-588X-2023-2-471-477

UDC

53.06

REVIEW OF THE SOFTWARE ALGORITHM FOR DIAGNOSING THE RESIDUAL LIFE OF LITHIUM-ION BATTERIES OF TRACTION ROLLING STOCK Review of the Software Algorithm for Diagnosing the Residual Life of Lithium-Ion Batteries of Traction Rolling Stock

АА Аа

Published in Proceedings of Petersburg Transport University · Pages 471–477 · Rubric: GENERAL TECHNICAL PROBLEMS AND SOLUTION APPROACH

DOI: https://doi.org/10.20295/1815-588X-2023-2-471-477

Received: 20.06.2023 Accepted: 20.06.2023 Published: 20.06.2023

Authors

Pavel V. Borisov

Aleksandr Vorob'ev

Pavel V. Borisov

Emperor Alexander I St. Petersburg State Transport University Graduate Student · Russian Federation · St. Petersburg

Aleksandr Vorob'ev

Academic degree: doctor of technical sciences

Science rang: professor

Emperor Alexander I St. Petersburg State Transport University Professor · Russian Federation · St. Petersburg

ABSTRACT

Purpose: Review of the algorithm for assessing the residual life of the lithium iron phosphate battery in the process of functional diagnostics of the electric energy storage device, based on the measurement of disturbing influences of current pulsations. Methods: Using the result of previously conducted experimental studies on the measured parameters of the lithium-ion battery pack when working with the electric energy converter, a set of statistic data is assumed, which by means of the described algorithm will produce an estimate of the remaining life of the battery cell. Results: The software algorithm for functional diagnostics of the lithiumion battery pack when working in the direct current link with the frequency converter based on the previously conducted physical experiment that collected statistical parameters of the lithium-ion battery pack in operation is considered. Practical significance: The conducted review of the statistical data of the investigated storage device gives the possibility to carry out functional diagnostics of the current resource state of the lithium-ion battery pack.

KEYWORDS

Lithium-ion battery pack, functional diagnostics, software, diagnostic algorithm

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GOST

Borisov P. V., Vorob'ev A. A. Review of the Software Algorithm for Diagnosing the Residual Life of Lithium-Ion Batteries of Traction Rolling Stock // . 2023. pp. 471-477. DOI: https://doi.org/10.20295/1815-588X-2023-2-471-477. (Date of access 19.08.2026).

MLA

Pavel V. Borisov, Vorob'ev A. A.. "Review of the Software Algorithm for Diagnosing the Residual Life of Lithium-Ion Batteries of Traction Rolling Stock." (2023): 471-477. DOI: https://doi.org/10.20295/1815-588X-2023-2-471-477.

APA

Borisov P. V., Vorob'ev A. A. (2023). Review of the Software Algorithm for Diagnosing the Residual Life of Lithium-Ion Batteries of Traction Rolling Stock. , 471-477. https://doi.org/10.20295/1815-588X-2023-2-471-477

Chicago

Pavel V. Borisov, Vorob'ev A. A.. "Review of the Software Algorithm for Diagnosing the Residual Life of Lithium-Ion Batteries of Traction Rolling Stock." , no. (2023): 471-477. https://doi.org/10.20295/1815-588X-2023-2-471-477.

WIKI

{{cite journal | author = Borisov P. V., Vorob'ev A. A. | title = Review of the Software Algorithm for Diagnosing the Residual Life of Lithium-Ion Batteries of Traction Rolling Stock | journal = | year = 2023 | pages = 471-477 | doi = 10.20295/1815-588X-2023-2-471-477 }}

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REVIEW OF THE SOFTWARE ALGORITHM FOR DIAGNOSING THE RESIDUAL LIFE OF LITHIUM-ION BATTERIES OF TRACTION ROLLING STOCK Review of the Software Algorithm for Diagnosing the Residual Life of Lithium-Ion Batteries of Traction Rolling Stock

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