Power packed: Mastering Lithium-ion cell characterization, modeling and validation: A Guide to Lithium-Ion Cell Testing and Analysis (Lithium-ion

Power packed: Mastering Lithium-ion cell characterization, modeling and validation: A Guide to Lithium-Ion Cell Testing and Analysis (Lithium-ion

This book is an indispensable resource for anyone involved in battery research, development, or manufacturing. Whether you are a seasoned engineer or a researcher new to the field, it provides both the fundamental knowledge and advanced tools needed to excel in the ever-evolving world of lithium-ion battery technology. The journey begins with lithium-ion cell fundamentals , covering the basic principles that govern their behavior and performance. You’ll be guided through cell characterization techniques, from charge-discharge cycles (CHG-DCH) to pre-conditioning . With pseudo-OCV analysis and the Galvanostatic Intermittent Titration Technique (GITT) , this guide demystifies the methods used to determine battery efficiency and state of charge. For those interested in performance benchmarking, the Hybrid Pulse Power Characterization (HPPC) method is thoroughly explained, providing key insights into the power capabilities and degradation patterns of lithium-ion cells. The importance of Electrochemical Impedance Spectroscopy (EIS) is highlighted as a powerful diagnostic tool to evaluate internal resistance and other electrochemical properties. Aging is a critical concern in battery technology, and this guide dedicates ample space to aging tests , distinguishing between calendar aging and cycling aging , and offering actionable insights into how these factors affect long-term performance. To enhance battery lifespan and reliability, the book discusses various cell modeling techniques, including Equivalent Circuit Models (ECM) and thermal models that allow engineers to predict temperature fluctuations and their effects on performance. The guide also presents the cutting-edge Python Battery Mathematical Modelling (PyBaMM) and the Doyle-Fuller-Newman (DFN) model , equipping readers with modern tools for battery simulation. Practical algorithms are presented to assist in real-world applications, and particular attention is given to temperature dependencies and their influence on key parameters such as open-circuit voltage (OCV), resistance (R), impedance (Z), and entropy (S). Thermal management systems (TMS) are dissected to reveal how optimized cooling and heating processes can maximize battery performance , and the book offers strategies to define the state of the art (SOA) in terms of voltage, state of charge (SoC), C-rate, and temperature. Moreover, guidelines for maximizing battery runtime and overall energy delivery help professionals push the boundaries of current technology. Degradation mechanisms and diagnostic techniques are covered extensively, from operational degradation to the critical analysis of the knee point —the phase where performance degradation accelerates. Comprehensive methods for state estimation are discussed, with particular focus on state of charge (SoC) , state of health (SoH) , and state of safety (SoS) , ensuring engineers can accurately monitor battery health. This guide addresses the risks and mitigation strategies around thermal runaway (TR) events. Safety testing standards and best practices for storage and transportation regulations are also included, alongside an in-depth discussion of gas generation , outgassing , and the calculated risks involved in battery operation. On the practical side, the guide provides insights into battery pack design , from pressing and venting strategies to the intricacies of busbar sizing and connections . Methods such as laser welding and spot welding are explored in detail, shedding light on how manufacturing choices can impact battery performance.