Design of Analytical Model for Predicting the Remaining Battery Discharge Time
Zhong-hua Ling, Lu-ling Duan, Lei Zhang
Available Online July 2017.
- https://doi.org/10.2991/iccse-17.2017.2How to use a DOI?
- Lead-acid battery, Battery remaining capacity, Mathematic model
- Based on the data of voltage, current intensity and remaining battery discharge time, a mathematical model of lead-acid battery discharge curve is established. The model was used to fit the sampling data of the curve about lead battery discharge with different current intensity. The nlinfit function of the optimization toolbox of MATLAB is applied along with calculation to obtain the model coefficient, results of which indicate the mean relative error (MRE) of the model fitting the curve about battery discharge time with different current intensity is 2.393%, 1.538%, 1.185%, 0.560%, 0.460%, 0.697, 0.745%, 0.642%, and 0.673% respectively. They are all lower than 3%, suggesting the model is with high accuracy.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhong-hua Ling AU - Lu-ling Duan AU - Lei Zhang PY - 2017/07 DA - 2017/07 TI - Design of Analytical Model for Predicting the Remaining Battery Discharge Time BT - 2017 International Conference on Computational Science and Engineering(ICCSE 2017) PB - Atlantis Press SP - 9 EP - 13 SN - 2352-538X UR - https://doi.org/10.2991/iccse-17.2017.2 DO - https://doi.org/10.2991/iccse-17.2017.2 ID - Ling2017/07 ER -