Category:Final Year Projects

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

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.