Model assessment of static validation based on relative capacity degradation The modeling of battery life has several challenges to overcome such as accuracy, computational effort, model complexity, etc. A robust and efficient aging model not only explains the battery degradation behavior but also helps to perform prognosis and diagnosis.
Furthermore, we provide comprehensive and advanced perspectives that could support future breakthroughs for achieving long-life batteries, it mainly includes three aspects: battery design, degradation modeling and life management, as depicted in Fig. 8. Fig. 8. Perspectives toward long-life batteries: Design, modeling, and management. 6.2.1.
However, when the lithium-ion batteries participate in energy storage, peak shaving and frequency regulation, extremely harsh conditions, such as strong pulses, high loads, rapid frequencies, and extended durations, accelerate the life degradation significantly. Long-life battery is significant for safe and stable operation of ESSs.
Therefore, the development of high-energy and long-life batteries still faces certain challenges. In the following, we summarize the degradation mechanism analysis methods and explain the degradation mechanisms of various anodes and cathodes from the perspectives of chemical stability and mechanical stability.
Beginning with first principles, a forward-thinking design method for long-life batteries based on the degradation inhibition is summarized. This primarily involves cathodes, anodes, electrolytes, binders, separators, structure and pre-lithiation techniques.
In summary, with the widespread adoption of lithium-ion batteries, the development of long-life batteries has become critical scientific issues in the current battery research field. This paper aims to provide a comprehensive review of long-life lithium-ion batteries in typical scenarios, with a primary focus on long-life design and management.
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