This project focuses on experimental testing and degradation validation of lithium-ion battery packs used in electric vehicle applications.
Controlled charge–discharge cycling experiments were conducted to investigate battery degradation behaviour, capacity fade characteristics, and lifecycle stability under defined operating conditions.
The research integrates experimental battery testing with data-driven validation approaches to support battery durability analysis, degradation trend evaluation, and lifecycle performance assessment.
This repository presents the project methodology, testing architecture, and validation framework developed during academic research.
- Experimental battery charge–discharge cycling analysis
- Capacity fade and degradation behaviour evaluation
- Battery lifecycle validation under controlled conditions
- Experimental data acquisition and preprocessing pipeline
- Degradation trend analysis and validation workflow
- MATLAB
- Experimental Battery Testing Platforms
- Battery Cycling & Validation Frameworks
- Data Processing & Feature Engineering
- Statistical Degradation Analysis
This project demonstrates how controlled experimental testing and degradation validation can support lifecycle reliability assessment, battery durability analysis, and predictive maintenance strategies for electric vehicle battery systems.
The implementation used in this project was developed as part of academic research and related publications.
To maintain research integrity and comply with institutional and publication-related guidelines, the full source code and testing configurations are not publicly released.
This repository is intended to present the project concept, testing methodology, and technical workflow.
Code access may be shared upon request for academic collaboration or research discussion.