High fidelity model of lithium-ion batteries for health monitoring

• Main Author: Hema, Koppula
• Other Authors: Ponnuthurai N. Suganthan
• Format: Theses and Dissertations
• Language: English
• Published: 2019
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/78659
• Institution: Nanyang Technological University

System integration issues such as, electrical and thermal design and the executives of full battery packs which regularly containing many cells has been seldom investigated in the scholastic writing. In this thesis, we talk about the structure and development of a 14.6 Ah battery pack for an energized vehicles application. The pack contains 3 battery cells associated in arrangement with every module in a 1P3S setup. This paper centres especially on testing the full battery pack and diagnosing ensuing issues identified with cells being associated in arrangement. We exhibit how a battery is discharging according to the charge rate at four discharging rates and how the temperature varies according to the c-rate. Fault modelling of battery for single cell and battery pack (1P3S) is solved and shown. Health monitoring is utilized to know the battery healthy status. Be that as it may, regardless of techniques and parameters are and a noteworthy point is to improve the battery reliability. Henceforth, the most recent known technique a High-fidelity modelling is implemented in this thesis. In this thesis, we use ANSYS Fluent to implement a High-fidelity model of lithium-ion.