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Introduction:

The increasing demand for electric vehicles and portable electronic devices has led to a growing interest in improving the thermal management of battery packs. Efficient thermal management is crucial for the performance, safety, and lifespan of batteries. Phase change materials (PCMs) have shown promise in managing heat within battery packs due to their ability to absorb and release large amounts of thermal energy during phase transitions. Computational modeling techniques offer a cost-effective and efficient way to study the heat transfer behavior of PCMs within battery packs.

This thesis aims to investigate the use of computational modeling for analyzing heat transfer in a phase change material for thermal management of battery packs. The study will focus on developing a model that can accurately predict the thermal behavior of the PCM, taking into account factors such as material properties, boundary conditions, and operating conditions.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Introduction to thermal management of battery packs
2.2 Phase change materials for thermal management
2.3 Computational modeling techniques
2.4 Previous studies on heat transfer in PCMs
2.5 Modeling approaches for battery pack thermal management
2.6 Challenges in PCM modeling
2.7 Advances in thermal management of battery packs
2.8 Experimental validation of computational models
2.9 Future research trends
2.10 Summary of literature review

Chapter 3: System Design and Methodology
3.1 Introduction
3.2 Selection of phase change material
3.3 Modeling approach
3.4 Boundary conditions
3.5 Validation of the model
3.6 Sensitivity analysis
3.7 Optimization techniques
3.8 Model implementation
3.9 Data analysis
3.10 Summary of system design and methodology

Chapter 4: System Implementation
4.1 Introduction
4.2 Model calibration
4.3 Simulation results
4.4 Comparison with experimental data
4.5 Performance evaluation
4.6 Case studies
4.7 Model extension
4.8 Sensitivity analysis
4.9 Validation of results
4.10 Summary of system implementation

Chapter 5: Conclusion and Summary
5.1 Summary of findings
5.2 Discussion of results
5.3 Contributions to the field
5.4 Implications for future research
5.5 Conclusion
5.6 Recommendations
5.7 Limitations of the study
5.8 Final remarks

Thesis Overview:

The aim of this thesis is to investigate the use of computational modeling for analyzing heat transfer in a phase change material for thermal management of battery packs. The study focuses on developing a model that can predict the thermal behavior of the PCM accurately, considering various factors such as material properties, boundary conditions, and operating conditions.

Chapter 1 provides an introduction to the research topic, outlining the background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms.

Chapter 2 reviews the existing literature on thermal management of battery packs, phase change materials, computational modeling techniques, and previous studies on heat transfer in PCMs. It also discusses challenges, advances, and future research trends in the field.

Chapter 3 describes the system design and methodology, including the selection of the phase change material, modeling approach, boundary conditions, validation, sensitivity analysis, optimization techniques, and data analysis.

Chapter 4 presents the system implementation, focusing on model calibration, simulation results, comparison with experimental data, performance evaluation, case studies, model extension, sensitivity analysis, and validation of results.

Chapter 5 concludes the thesis, summarizing the findings, discussing the results, highlighting contributions to the field, suggesting implications for future research, providing recommendations, addressing limitations, and offering final remarks on the study.

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