A Method for Assessing the Technical Condition of Traction Batteries Using the Metalog Family of Probability Distributions

Jacek Caban (), Arkadiusz Małek and Dariusz Kroczyński
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Jacek Caban: Department of Automation, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland
Arkadiusz Małek: Department of Transportation and Informatics, WSEI University, Projektowa, 20-209 Lublin, Poland
Dariusz Kroczyński: Dakro, Nałęczowska 73, 20-701 Lublin, Poland

Energies, 2024, vol. 17, issue 13, 1-21

Abstract: The aim of the research presented in the article is to use the Metalog family of probability distributions to assess the technical condition of traction battery packs from electric and hybrid vehicles. The description of the research object, which is a battery pack from a hybrid vehicle, will be provided. Then, a system for controlled charging and discharging of individual cells in a battery pack will be reviewed. It is an essential diagnostic and research device used to determine the capacity of individual cells. The capacity values of all battery cells will then be analyzed using the Metalog probability distribution family. The use of this tool allows us to determine the Probability Density Function for the entire battery pack. Based on this, the diagnostician is able to assess the technical condition of the tested package and decide on its further fate. It can be intended for repair, employed as a stationary energy storage facility, or used for disposal. The algorithm for assessing the technical condition of traction batteries proposed by the authors can be used in all battery packs regardless of the type of cells used and their energy capacity.

Keywords: traction batteries; energy storage; diagnostics; Metalog; artificial intelligence (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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