Abstract
The decarbonizing process of the transportation system and the spread of unplanned renewables energy source, such as photovoltaic and wind energies, brought the constant need of ever more efficient energy storage technologies. Among these technologies, batteries, particularly the li-ion chemistry, are widely used in automotive and energy storage applications. For an optimized management of the cell it is advisable to have models that can accurately describe cell behaviour. In this paper a battery model for performance simulation in automotive application is identified. The main shapes of battery cells with their own advantages and disadvantages are shown, and a roundup of the best available 18650 cells is given. Finally, a test-bench for the parameter estimation of the cells is implemented.
| Original language | English |
|---|---|
| Title of host publication | 5th International Forum on Research and Technologies for Society and Industry: Innovation to Shape the Future, RTSI 2019 - Proceedings |
| Pages | 400-405 |
| Number of pages | 6 |
| Publication status | Published - 2019 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Instrumentation