Investigating the Distribution of Flatness Measurements in Battery Manufacturing through Empirical Investigation and Statistical Theory

Abstract

The battery is an important part of the new energy electric vehicle, and the control of the flatness of its side plate/bottom plate is the key to quality improvement in mass production. However, there are few pieces of research on the flatness distribution form at present, and the distribution form is often assumed to be a normal distribution, which leads to a significant deviation between the tolerance design and quality control of the flatness and the reality. This paper establishes a statistical model of flatness distribution, its theoretical distribution form is deduced as a normal range distribution, and then the experimental data of the flatness distribution are collected to verify this conclusion. Determining the flatness distribution form has practical effects on improving manufacturing quality and reducing costs in battery manufacturing.

Early-Stage ISC Fault Detection for Ship Lithium Batteries Based on Voltage Variance Analysis

“…The model-based approach for diagnosing ISC faults in Li-ion batteries entails achieving FDD through the establishment of an accurate mathematical model of the battery [18], followed by a comparison of actual measured battery state parameters with those predicted by the model. Various mathematical models have been employed for this purpose, including electrochemical models [19], equivalent circuit models [20], thermal models [21], and multiphysics-field coupling models [22].…”