Advanced Self-Discharge Measurements of Lithium-Ion Cells and
Here we present a new method for precise potentiostatic self-discharge measurements (SDMs) that is very sensitive and considerably faster than other currently available methods.
Analysis and detection of charge and discharge characteristics of
Three key parameters of lithium battery charging and discharging process are fused to analyze the charging and discharging characteristics of lithium battery.
An expeditious and simple scheme for measuring
Compared to traditional measurement methods, we previously proposed a method to calculate the self-discharge rate by “pre-parallel”
Fast method for calibrated self-discharge measurement
To quickly detect the self-discharge rate of lithium batteries, this paper proposes a rapid detection method to characterize the self-discharge rate
Self-discharge measurement of lithium batteries: resting
The methods for measuring the self-discharge rate of lithium-ion batteries by static measurement and dynamic measurement are reviewed. The
Fast method for calibrated self-discharge measurement of lithium-ion
We demonstrate that the self-discharge measurement (SDM) method is a potent tool capable of measuring the low self-discharge currents of high-quality cells in the range of a few µA.
Advanced Self-Discharge Measurements of Lithium-Ion Cells and
Lithium-ion batteries (LIBs) are currently the most relevant energy storage solution for a wide field of applications starting from mobile communication and goi
Online Reliable Peak Charge/Discharge Power Estimation of Series
A novel online peak power estimation method for series-connected lithium-ion battery packs is proposed, which considers the influence of cell difference on the peak power of the battery
10s-16s Battery Pack Reference Design With Accurate Cell
It monitors each cell voltage, pack current, cell and MOSFET temperature with high accuracy and protects the Li-ion, LiFePO4 battery pack against cell overvoltage, cell undervoltage,
Lithium-Ion Battery Pack Cycling Dataset with CC-CV Charging
The dataset includes time series data on cell voltages, currents, surface temperatures, and pack-level resistance from up to 36 cells arranged in three parallel branches.
PDF version includes complete article with source references. Suitable for printing and offline reading.