Dryad
Published May 30, 2021 | Version v1
Dataset Open

Battery discharge characteristics for IEEE 802.15.4 based radio load profile

Authors/Creators

  • 1. Universiti Sains Malaysia
  • 2. NFC Institute of Engineering and Technology Training*

Description

This dataset reports the discharge profiles of 4 battery chemistries under IEEE 802.15.4 radio load profiles. The batteries were independently subjected to a five-step method to record the discharge characteristics. These discharge currents, their effect on battery capacity, and surface temperature may affect the overall battery lifetime, which was the major aim to discover. The following batteries were used in these experiements

Tag

Manufacturer

Model

Battery Chemistry

Capacity (mAh)

Nominal Voltage

C-Rate

Batt1

Powerizer

MH-AAA1000APZ 

Nickel-Metal Hydride (Ni-mh)

1000

1.2 V

1C

Batt2

Data Power Technology

DTP603450 

Polymer Lithium-Ion (LiPo)

1000

3.7V

1C

Batt3

Panasonic

UF553443ZU 

Lithium-Ion (Li-ion)

1000

3.6V

1C

Batt4

Energizer

LR-6 

Alkaline (Zinc, Magnesium Dioxide)

Variable, load dependent

1.5V

2C

The five step methodlogy proceeded as:

  1. Pre-conditioning Tests
  2. Relaxation Tests
  3. Battery Capacity Test
  4. OCV Vs SOC Test
  5. Battery Surface Temperature Tests

The parameters were recorded at every 1 minute interval from a fully charged to a fully discharged state.

Notes

The files are sorted, filtered and can be used as it is for future research work. It is important to consider that the discharge profiles may change with the increase or decrease in battery capacity, under ambient effects (such as temperature and humidity) and also with the relaxation period. Therefore, it is recommended to use this dataset to report only the battery chemistries as described above. In addition, it is very important to provide a minimum rest period of 4 hours to each battery, after a full charge cycle. 

The following folder and file structure is made available:

  1. Battery Discharge Characteristics (Contains individual battery discharge parameters for the above mentione battery capacities)
  2. Battery Surface Temperatures (Contains ambient temperature, as well as readings from two PT100 sensors mounted on top of each battery)
  3. Normalized Discharged characistics for plotting (Presents a template to selected weighted average-based normalized values for plots)
  4. Relaxation Time Calculation (The OCV and relaxation time values are computed and the percentage error is calculated)

Code Files

This data set provides 3 code files that will help to quickly plot and visualize the dataset. The code files are written in Python and can be described as

  1. dataprocessor.py imports the raw data, splits it into columns and removes unwanted noise and null values
  2. smoothing_function.py utilizes the linear interpolation technique to estimate missing values between data points. This helps to estimate missing values as well as improves the smoothness of the curves.
  3. battery_discharge_plots.py imports, splits and visualizes various battery discharge characteristics. This code is helpful in quickly visualizing the provided dataset. 

Funding provided by: Universiti Sains Malaysia
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004595
Award Number: 1001/PELECT/8014049

Files

Dataset.zip

Files (1.8 MB)

Name Size Download all
md5:2433f0ea1ee37b4f7e563f908594d784
1.8 MB Preview Download

Additional details

Related works

Is derived from
10.5281/zenodo.4818334 (DOI)
Is source of
10.5281/zenodo.4836444 (DOI)