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

Citation Author(s):
Cheng
Chin
Zuchang
Gao
Submitted by:
Cheng Siong Chin
Last updated:
Wed, 10/30/2019 - 09:50
DOI:
10.21227/36wq-1d84
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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).

Comments

Please allow me to download the dataset for Academic purposes.

Submitted by Pratyay Maity on Sun, 03/14/2021 - 00:29

Please allow me to download the dataset for Academic purposes.

Submitted by Xiao Wen on Sun, 07/03/2022 - 09:35

Please allow me to download the dataset for Academic purposes.

Submitted by Yiling Chen on Wed, 11/16/2022 - 02:22

Sir, please allow me to download the dataset for academic purposes.

Submitted by Amit Ranjan on Wed, 02/28/2024 - 21:53

Documentation

AttachmentSize
File Documentation for cell data1.23 MB