Analysis of Convex Algorithm for LOC of Li Battery

A constrained optimization objective function was constructed for the feedforward network using convex optimization theory and constraint optimization theory to estimate the parameters of LOC. At the same time, a battery capacity model was used for experiments to characterize the usage time of individual batteries and clearly show the Health value of the Li battery involving past cycle times, existing electrical parameters, temperature, discharge depth, and other operating mode. A single battery model is required to obtain and used to construct a Battery Management System.

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Published
2025-06-28
DOI
https://doi.org/10.1109/icipca65645.2025.11138815
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Analysis of Convex Algorithm for LOC of Li Battery

Linye Zhang, Xuepeng Liu, Wei-Tao Peng
Advanced Battery Technologies Research
article

Analysis of Convex Algorithm for LOC of Li Battery

Linye Zhang, Xuepeng Liu, Wei-Tao Peng
article en

Abstract

A constrained optimization objective function was constructed for the feedforward network using convex optimization theory and constraint optimization theory to estimate the parameters of LOC. At the same time, a battery capacity model was used for experiments to characterize the usage time of individual batteries and clearly show the Health value of the Li battery involving past cycle times, existing electrical parameters, temperature, discharge depth, and other operating mode. A single battery model is required to obtain and used to construct a Battery Management System.

Foshan University (CN), Shunde Polytechnic (CN)
Guangdong Science and Technology Department
Openalex Percentile: Top 75%
Advanced Battery Technologies Research
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