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

• المؤلف الرئيسي: Tade Hrutuja Sanju
• مؤلفون آخرون: Yun Yang
• التنسيق: Thesis-Master by Coursework
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: 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
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/180713
• المؤسسة: Nanyang Technological University

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...