1. Performance Analysis of Lithium-Ion Battery Based on Model Reduction Analysis
- Author
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Yadav Kamlesh Kumar and Kirit Dhablia Dharmesh
- Subjects
battery ,sensor ,model ,chemical ,electrochemical impedance ,approximation ,Environmental sciences ,GE1-350 - Abstract
Lithium-ion cells exhibit superior energy and power density, longer cycle life, and lower cost compared to other types of batteries. Research is required to streamline the utilisation of lithium-ion cell stacked battery packs with battery management systems (BMS). The Battery Management System (BMS) detects temperature, current, and voltage, and offers users information on the state of charge (SoC) and state of health (SoH). Sensor device noises can lead to measurement inaccuracies in larger stacked battery cells. BMS engineers utilise equivalent circuit model (ECM) and state estimation techniques to tackle this issue. Cell degradation mechanisms were studied through numerical and experimental analyses using the PBM method with FEM. A transfer function was developed to analyse the increase in cell impedance based on chemical kinetics parameters. The cell’s electrochemical impedance characteristics were analysed through simulation and experimental studies using Nyquist and Bode plot analysis. The transfer function was simplified through approximation to reduce nonlinearities. A chemical mechanical stress analysis was conducted to assess the lithium concentration in a cell under a pulse voltage.
- Published
- 2024
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