View source for Projects:2018s2-25404 Li-ion Battery Degradation Toolbox In MATLAB

[[Category:Projects]]
[[Category:Final Year Projects]]
[[Category:2018s2|25404]]
Battery degradation shows the capacity of battery and its life time. But the mechanisms are complex and interacting. Engineerings build real-time estimation model to solve it but there are to many limitation. Off-line estimation model fine out the general equations of battery life. In actual use the data are dynamics. this tool box can dynamically simulate the equations.
== Introduction ==
this project will build a toolbox in MATLAB. users can call the functions in toolbox to get the degeadation of Li-ion battery.

=== Project team ===
==== Project students ====
* Yuanli Chen

==== Supervisors ====
* Ali Pourmousavi Kani
* Said Al-Sarawi

==== Advisors ====
*
*

=== Objectives ===
this poject will build two function based to two models into the toolbox.

these two models are provided in these two article:

"A Multi-Factor Battery Cycle Life Prediction Methodology for Optimal Battery Management"

"Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment"

== Background ==
=== model 1 ===
[[File:flowchart of model 1.png|1000px]]

== Method ==

== Results ==

== Conclusion ==

== References ==
[1] V. Muenzel, J. D. Hoog, M. Brazil, A. Vishwanath, S. Kalyanaraman, "A multi-factor battery cycle life prediction methodology for optimal
battery management", Proc. e-Energy, pp. 57-66, Jul. 2015.
[2] Xu, B, Oudalov, A, Ulbig, A, Andersson, G & Kirschen, DS 2018, ‘Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment’, IEEE
Transactions on Smart Grid, vol. 9, no. 2, pp. 1131–1140.
[3] Lee, Yung-Li & Tjhung, Tana 2012, ‘Rainflow Cycle Counting Techniques-Chapter 3’, in Metal Fatigue Analysis Handbook, pp. 89–114.
[4] Aiping Wang, Sanket Kadam, Hong Li, Siqi Shi & Yue Qi 2018, ‘Review on modeling of the anode solid electrolyte interphase (SEI) for
lithium-ion batteries’, Npj Computational Materials, vol. 4, no. 1, pp. 1–26.