The provided text is a compilation of various research papers and reports focusing on the diagnostics and degradation mechanisms of lithium-ion batteries. Key topics include: 1. **Advanced Technology Development (ATD) Program**: A multilaboratory effort to improve the performance and reliability of high-power lithium-ion batteries for hybrid electric vehicles (HEVs). The program includes comprehensive diagnostics to identify and characterize processes limiting battery performance and life. 2. **18650 Cell Diagnostics**: Detailed reports on the diagnostics of Generation 2 ATD cells, including test data, diagnostic techniques, and modeling information. The goal is to understand and predict degradation mechanisms. 3. **Lithium-Ion Battery Degradation**: Research on the degradation of lithium-ion batteries, including statistical modeling, in situ and in-operando techniques, and the impact of various factors such as temperature, state of charge, and cycling. 4. **All-Solid-State Lithium-Ion Batteries**: Studies on the performance and diagnostics of all-solid-state thin-film lithium-ion batteries, which are used in various applications like smart cards, RFID tags, and implantable medical devices. 5. **Battery Degradation Modeling**: Development of models to predict battery degradation, including the impact of aging, temperature, and operational conditions. 6. **Environmental Impact**: Analysis of the environmental burden of private transportation and the role of electric vehicles in reducing this impact. The book also covers the life cycle environmental impacts of traction batteries. 7. **Statistical Analysis of Degradation Data**: Techniques for analyzing degradation data to improve reliability and understanding of battery performance. 8. **Intelligent Fault Diagnosis and Prognosis**: Techniques for diagnosing and predicting faults in complex engineering systems, including rotating machinery and lithium-ion batteries. 9. **Battery Management Systems (BMS)**: Development of robust BMS to accurately estimate the state of charge (SOC) and state of health (SOH) of batteries, and to predict battery performance under various conditions. 10. **Real-World Applications**: Field tests and simulations of lithium-ion batteries in real-world scenarios, such as in plug-in hybrid vehicles, to understand degradation and improve battery life. These studies collectively aim to advance the understanding and performance of lithium-ion batteries, addressing key challenges in their design, operation, and environmental impact.The provided text is a compilation of various research papers and reports focusing on the diagnostics and degradation mechanisms of lithium-ion batteries. Key topics include: 1. **Advanced Technology Development (ATD) Program**: A multilaboratory effort to improve the performance and reliability of high-power lithium-ion batteries for hybrid electric vehicles (HEVs). The program includes comprehensive diagnostics to identify and characterize processes limiting battery performance and life. 2. **18650 Cell Diagnostics**: Detailed reports on the diagnostics of Generation 2 ATD cells, including test data, diagnostic techniques, and modeling information. The goal is to understand and predict degradation mechanisms. 3. **Lithium-Ion Battery Degradation**: Research on the degradation of lithium-ion batteries, including statistical modeling, in situ and in-operando techniques, and the impact of various factors such as temperature, state of charge, and cycling. 4. **All-Solid-State Lithium-Ion Batteries**: Studies on the performance and diagnostics of all-solid-state thin-film lithium-ion batteries, which are used in various applications like smart cards, RFID tags, and implantable medical devices. 5. **Battery Degradation Modeling**: Development of models to predict battery degradation, including the impact of aging, temperature, and operational conditions. 6. **Environmental Impact**: Analysis of the environmental burden of private transportation and the role of electric vehicles in reducing this impact. The book also covers the life cycle environmental impacts of traction batteries. 7. **Statistical Analysis of Degradation Data**: Techniques for analyzing degradation data to improve reliability and understanding of battery performance. 8. **Intelligent Fault Diagnosis and Prognosis**: Techniques for diagnosing and predicting faults in complex engineering systems, including rotating machinery and lithium-ion batteries. 9. **Battery Management Systems (BMS)**: Development of robust BMS to accurately estimate the state of charge (SOC) and state of health (SOH) of batteries, and to predict battery performance under various conditions. 10. **Real-World Applications**: Field tests and simulations of lithium-ion batteries in real-world scenarios, such as in plug-in hybrid vehicles, to understand degradation and improve battery life. These studies collectively aim to advance the understanding and performance of lithium-ion batteries, addressing key challenges in their design, operation, and environmental impact.