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A123's Lithium Iron Phosphate (ANR26650M1-B) Battery Cell Data

Citation Author(s):
Cheng Chin
Zuchang Gao
Submitted by:
Cheng Siong Chin
Last updated:
DOI:
10.21227/36wq-1d84
Data Format:
Links:
Average: 5 (1 vote)

Abstract

A computational efficient battery pack model with thermal consideration is essential for simulation before real-time embedded implementation. The proposed temperature-dependent battery model (LiFePO4 battery cell, ANR26650M1-B from A123 Systems) will increase the lifespan of the battery. The simulation outputs are validated by a set of independent experimental data at a different ambient temperature using the dataset collected at 5 °C, 15 °C, 25 °C, 35 °C and 45 °C.

Instructions:

1) Download the files into a folder

2) Open the cell_data.mat 

3) Run cell_plot.m

4) Data structure:

Capacity(Ah) in Ah, Capacitance(C1) in F, Current (Curr) in A, Initial Capacity(InitCapacity) in Ah, Internal Resistance (R0) in W,  Resistance (R1) in W, Ambient Temperature(Tamb) in °C, Terminal Voltage (volt) in V at different ambient temperatures (5 °C, 15 °C, 25 °C, 35 °C and 45 °C).

Please allow me to download the dataset for Academic purposes.
Xiao Wen Sun, 07/03/2022 - 13:35 Permalink
Please allow me to download the dataset for Academic purposes.
Yiling Chen Wed, 11/16/2022 - 07:22 Permalink
Sir, please allow me to download the dataset for academic purposes.
Amit Ranjan Thu, 02/29/2024 - 02:53 Permalink

Please allow me to download the dataset for Academic purposes.

Ping Wang Mon, 12/23/2024 - 02:52 Permalink