Parameter identification of electrical and thermal model of a lithium polymer battery using particle swarm optimization

• 主要作者: Tade Hrutuja Sanju
• 其他作者: Yun Yang
• 格式: Thesis-Master by Coursework
• 語言: English
• 出版: Nanyang Technological University 2024
• 主題: Engineering; Lithium polymer battery (LiP); Li-ion batteries; Parameter identification; Particle swarm optimization (PSO); Battery management system (BMS); Battery electrical model; Battery thermal model; Dual time window method; Optimization algorithm; Equivalent circuit model (ECM); Real-time monitoring
• 在線閱讀: https://hdl.handle.net/10356/180713

In recent years, the demand for lightweight, high-endurance batteries has driven a significant shift in battery cell chemistry, particularly toward Lithium-ion (Li-ion) types. These chemistries offer advantages such as higher volumetric and gravimetric energy densities, making them suitable for appl...