Abstract
Battery Management System (BMS) requires an indefinite accurate model. With an aging model, the lifetime of a battery can be precisely predicted. The mathematical model in terms of state variables is presented in this preliminary work involving smart BMS system. This work is crucial as the state space model is able to mimic the complex dynamic behavior of a battery system. A numerical case study is done to verify the model obtained through mathematical derivations by adopting the prominent RC battery model from literature. More works have to be carried out to investigate the application of the model in terms of predicting the state of charge (SoC) of a battery system in order to prolong its lifetime, and thereby saving us substantial cost.
| Original language | English |
|---|---|
| Journal | Lecture Notes in Engineering and Computer Science |
| Volume | 2210 |
| Issue number | January |
| Publication status | Published - 2014 |
| Event | International MultiConference of Engineers and Computer Scientists, IMECS 2014 - Kowloon, Hong Kong Duration: 12 Mar 2014 → 14 Mar 2014 |
Keywords
- Battery Management System (BMS)
- Battery aging
- Battery modeling
- State space
- State-of-charge